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CALIPSO PUBLICATIONS






Last Updated: March 30, 2021

The CALIPSO project is indebted to the staff of
the Floyd L. Thompson Technical Library. Their
expertise and diligence have been invaluable
in compiling this bibliography.
Publications Using CALIPSO Data
    Year       Publication Count  
in press 22
2021 114
2020 335
2019 366
2018 341
2017 286
2016 265
2015 258
2014 251
2013 232
2012 214
2011 194
2010 166
2009 117
2008 66
2007 21
Total 3,248

Publications Using CALIPSO Data


Published in 2021
  1. Ahn, S., J.-B. Jee, K.-T. Lee and H.-J. Oh, 2021: “Enhanced Accuracy of Airborne Volcanic Ash Detection Using the GEOKOMPSAT-2A Satellite”, Sensors, 21, 1359, https://doi.org/10.3390/s21041359.
     
  2. Alekseeva, M. N., K. N. Pustovalov, E. A. Golovatskaya and I. G. Yaschenko, 2021: “Calculation of Aerosol Emissions from Fires in the Tomsk Region Based on Remote Sensing Data”, Atmospheric and Oceanic Optics, 34, 68-73, https://doi.org/10.1134/S1024856021010024.
     
  3. Aragnou, E., S. Watt, H. D. Nguyen, C. Cheeseman, M. Riley, J. Leys, S. White, D. Salter, M. Azzi, L. T.-C. Chang, G. Morgan and I. Hannigan, 2021: “Dust Transport from Inland Australia and Its Impact on Air Quality and Health on the Eastern Coast of Australia during the February 2019 Dust Storm”, Atmosphere, 12, 141, https://doi.org/10.3390/atmos12020141.
     
  4. Arya, V. B., S. Surendran and K. Rajendran, 2021: “On the build-up of dust aerosols and possible indirect effect during Indian summer monsoon break spells using recent satellite observations of aerosols and cloud properties”, J. Earth Syst. Sci., 130, 42, https://doi.org/10.1007/s12040-020-01526-6.
     
  5. Banerjee, T., A. S. Shitole, A. Mhawish, A. Anand, R. Ranjan, M. F. Khan, T. Srithawirat, M. T. Latif and R. K. Mall, 2021: “Aerosol climatology over South and Southeast Asia: Aerosol types, vertical profile and source fields”, J. Geophys. Res. Atmos., 126, e2020JD033554, https://doi.org/10.1029/2020JD033554.
     
  6. Bisson, K. M., E. Boss, P. J. Werdell, A. Ibrahim and M. J. Behrenfeld, 2021: “Particulate backscattering in the global ocean: A comparison of independent assessments”, Geophys. Res. Lett., 48, e2020GL090909, https://doi.org/10.1029/2020GL090909.
     
  7. Bolot, M. and S. Fueglistaler, 2021: “Tropical water fluxes dominated by deep convection up to near tropopause levels”, Geophys. Res. Lett., 48, e2020GL091471. https://doi.org/10.1029/2020GL091471.
     
  8. Bruno, O., Q. Coopman, C. Hoose, T. Storelvmo and M. Stengel, 2021: “Exploring the phase partitioning in different cloud types using active and passive satellite sensors”, Geophys. Res. Lett., 48, e2020GL089863, https://doi.org/10.1029/2020GL089863.
     
  9. Bursik, M., Q. Yang, A. Bear-Crozier, M. Pavolonis and A. Tupper, 2021: “The Development of Volcanic Ash Cloud Layers over Hours to Days Due to Atmospheric Turbulence Layering”, Atmosphere, 12, 285, https://doi.org/10.3390/atmos12020285.
     
  10. Campbell, J. R., E. K. Dolinar, S. Lolli, G. J. Fochesatto, Y. Gu, J. R. Lewis, J. W. Marquis, T. M. McHardy, D. R. Ryglicki and E. J. Welton, 2021: “Cirrus Cloud Top-of-the-Atmosphere Net Daytime Forcing in the Alaskan Subarctic from Ground-Based MPLNET Monitoring”, J. Appl. Meteor. Climatol., 60, 51-63, https://doi.org/10.1175/JAMC-D-20-0077.1.
     
  11. Cesana, G. V. and A. D. Del Genio, 2021: “Observational constraint on cloud feedbacks suggests moderate climate sensitivity”, Nat. Clim. Change, https://doi.org/10.1038/s41558-020-00970-y.
     
  12. Chen, Z., J. Wang, D. Gao, B. Xu, W. Yu and M. Yang, 2021: “Dynamic Spatial Fusion of Cloud Vertical Phase from CALIPSO and CloudSat Satellite Data”, Photogramm. Eng. Rem. S., 87, 61-67, https://doi.org/10.14358/PERS.87.1.61.
     
  13. Cheng, X., L. Yi and J. Bendix, 2021: “Cloud top height retrieval over Arctic Ocean using cloud-shadow method based on MODIS”, Atmos. Res., 253, 105468, https://doi.org/10.1016/j.atmosres.2021.105468.
     
  14. Corral, A. F., R. A. Braun, B. Cairns, V. A. Gorooh, H. Liu, L. Ma, A. H. Mardi, D. Painemal, S. Stamnes, B. van Diedenhoven, H. Wang, Y. Yang, B. Zhang and A. Sorooshian, 2021: “An Overview of Atmospheric Features Over the Western North Atlantic Ocean and North American East Coast - Part 1: Analysis of Aerosols, Gases, and Wet Deposition Chemistry”, J. Geophys. Res. Atmos., 126, e2020JD032592, https://doi.org/10.1029/2020JD032592.
     
  15. Couto, F. T., E. H. C. Cardoso, M. J. Costa, R. Salgado, J. L. Guerrero-Rascado and V. Salgueiro, 2021: “How a mesoscale cyclonic vortex over Sahara leads to a dust outbreak in Southwestern Iberia”, Atmos. Res., 249, 105302, https://doi.org/10.1016/j.atmosres.2020.105302.
     
  16. Davitashvili, T. and I Samkharadze, 2021: “Study of Aeolian transfer of mineral dust from deserts to the territory of Georgia”, Arab. J. Geosci., 14, 67, https://doi.org/10.1007/s12517-020-06407-2.
     
  17. Di Biagio, C., J. Pelon, Y. Blanchard, L. Loyer, S. R. Hudson, V. P. Walden, J.-C. Raut, S. Kato, V. Mariage and M. A. Granskog, 2021: “Towards a better surface radiation budget analysis over sea ice in the high Arctic Ocean: a comparative study between satellite, reanalysis, and local‒scale observations”, J. Geophys. Res. Atmos., 126, e2020JD032555, https://doi.org/10.1029/2020JD032555.
     
  18. dos Santos Oliveira, D. C. F., E. Montilla-Rosero, F. J. da Silva Lopes, F. G. Morais, E. Landulfo and J. J. Hoelzemann, 2020: “Aerosol properties in the atmosphere of Natal/Brazil measured by an AERONET Sun-photometer”, Environ. Sci. Pollut. R., 28, 9806-9823, https://doi.org/10.1007/s11356-020-11373-z.
     
  19. Eastman, R., C. R. Terai, D. P. Grosvenor and R. Wood, 2021: “Evaluating the Lagrangian evolution of subtropical low clouds in GCMs using observations: Mean evolution, timescales, and responses to predictors”, J. Atmos. Sci., 78, 353-372, https://doi.org/10.1175/JAS-D-20-0178.1.
     
  20. Elias, T., D. Ramon, L. Dubus, M. Am-Shallem and G. Kroyzer, 2021: “DNI and slant path transmittance for the solar resource of tower thermal solar plants: The validation of the ASoRA method and impact in exploiting a global data set”, Solar Energy, 217, 78-92, https://doi.org/10.1016/j.solener.2020.12.064.
     
  21. Emmanuel, M., S. V. Sunilkumar, M. Muhsin, P. R. Satheesh Chandran, K. Parameswaran, B. Suneel Kumar, Animesh Maitra, A. N. V. Satyanarayana and N. Nagendra, 2021: “Effect of monsoon dynamics and deep convection on the upper troposphere lower stratosphere water vapour over Indian monsoon region”, Atmos. Res., 249, 105336, https://doi.org/10.1016/j.atmosres.2020.105336.
     
  22. Fadnavis, S., R. Müller, T. Chakraborty, T. P. Sabin, A. Laakso, A. Rap, S. Griessbach, J.-P. Vernier and S. Tilmes, 2021: “The role of tropical volcanic eruptions in exacerbating Indian droughts”, Sci. Rep., 11, 2714, https://doi.org/10.1038/s41598-021-81566-0.
     
  23. Fang, Z., H. Yang, Y. Cao, K. Xing, D. Liu, M. and C. Xie, 2021: “Study of Persistent Pollution in Hefei during Winter Revealed by Ground-Based LiDAR and the CALIPSO Satellite”, Sustainability, 13, 875, https://doi.org/10.3390/su13020875.
     
  24. Francis, D., J.-P. Chaboureau, N. Nelli, J. Cuesta, N. Alshamsi, M. Temimi, O. Pauluis and L. Xue, 2021: “Summertime dust storms over the Arabian Peninsula and impacts on radiation, circulation, cloud development and rain”, Atmos. Res., 250, 105364, https://doi.org/10.1016/j.atmosres.2020.105364.
     
  25. Frey, L., F. A.-M. Bender and G. Svensson, 2021: “Processes controlling the vertical aerosol distribution in marine stratocumulus regions - a sensitivity study using the climate model NorESM1-M”, Atmos. Chem. Phys., 21, 577-595, https://doi.org/10.5194/acp-21-577-2021.
     
  26. Fujiwara, M., T. Sakai, K. Shiraishi, Y. Inai, S. Khaykin, H. Xi, T. Shibata, M. Shiotani and L. L. Pan, 2021: “Lower-stratospheric aerosol measurements in eastward-shedding vortices over Japan from the Asian summer monsoon anticyclone during the summer of 2018”, Atmos. Chem. Phys., 21, 3073-3090, https://doi.org/10.5194/acp-21-3073-2021.
     
  27. Gkikas, A., E. Proestakis, V. Amiridis, S. Kazadzis, E. Di Tomaso, A. Tsekeri, E. Marinou, N. Hatzianastassiou and C. Pérez García-Pando, 2021: “ModIs Dust AeroSol (MIDAS): A global fine resolution dust optical depth dataset”, Atmos. Meas. Tech., 14, 309-334, https://doi.org/10.5194/amt-14-309-2021.
     
  28. Grasso, L., D. Bikos, J. Torres, J. F. Dostalek, T.-C. Wu, J. Forsythe, H. Q. Cronk, C. J. Seaman, S. D. Miller, E. Berndt, H. G. Weinman and K. B. Kasper, 2021: “Satellite Imagery and Products of the 16-17 February 2020 Saharan Air Layer Dust Event over the Eastern Atlantic: Impacts of Water Vapor on Dust Detection and Morphology”, Atmos. Meas. Tech., 14, 1615-1634, https://doi.org/10.5194/amt-14-1615-2021.
     
  29. Gupta, G., M. V. Ratnam, B. L. Madhavan, P. Prasad, C. S. Narayanamurthy, 2021: “Vertical and spatial distribution of elevated aerosol layers obtained using long-term ground-based and space-borne lidar observations”, Atmos. Environ., 246, 118172, https://doi.org/10.1016/j.atmosenv.2020.118172.
     
  30. Hamzeh, N. H., S. Karami, D. G. Kaskaoutis, I. Tegen, M. Moradi and C. Opp, 2021: “Atmospheric Dynamics and Numerical Simulations of Six Frontal Dust Storms in the Middle East Region”, Atmosphere, 12, 125, https://doi.org/10.3390/atmos12010125.
     
  31. He, Q., J. Ma, X. Zheng, Y. Wang, Y. Wang, H. Mu, T. Cheng, R. He, G. Huang, D. Liu and J. Lelieveld, 2021: “Formation and dissipation dynamics of the Asian tropopause aerosol layer”, Environ. Res. Lett., 16, 014015, https://doi.org/10.1088/1748-9326/abcd5d.
     
  32. Hirsch, E. and I. Koren, 2021: “Record-breaking aerosol levels explained by smoke injection into the stratosphere”, Science, 371, 1269-1274, https://doi.org/10.1126/science.abe1415.
     
  33. Huu, &Zcirc;. N. and A. Z. Kotarba, 2021: “Reliability of visual detections of cirrus over Poland”, Theor. Appl. Climatol., 144, pages1-11, https://doi.org/10.1007/s00704-020-03494-9.
     
  34. Jeyaratnam, J., Z. J. Luo, S. E. Giangrande, D. Wang and H. Masunaga, 2021: “A Satellite‐Based Estimate of Convective Vertical Velocity and Convective Mass Flux: Global Survey and Comparison with Radar Wind Profiler Observations”, Geophys. Res. Lett., 48, e2020GL090675, https://doi.org/10.1029/2020GL090675.
     
  35. Jin, Q., J. Wei, W. K. M. Lau, B. Pu and C. Wang, 2021: “Interactions of Asian mineral dust with Indian summer monsoon: Recent advances and challenges”, Earth-Sci. Rev., 215, 103562, https://doi.org/10.1016/j.earscirev.2021.103562.
     
  36. Jury, M. R. and A. T. N. Jiménez, 2021: “Tropical Atlantic dust and the zonal circulation”, Theor. Appl. Climatol., 143, 901-913, https://doi.org/10.1007/s00704-020-03461-4.
     
  37. Jury, M. R. and A. R. G. Pabón, 2021: “Dispersion of smoke plumes over South America”, Earth Interact., 25, 1-14, https://doi.org/10.1175/EI-D-20-0004.1.
     
  38. Karami, S., Hamzeh, N. H., K. Alam, F. Noori and A. R. S. Abadi, 2021: “Spatio-temporal and synoptic changes in dust at the three islands in the Persian Gulf region”, J. Atmos. Sol.-Terr. Phy., 214, 105539, https://doi.org/10.1016/j.jastp.2021.105539.
     
  39. Ke, Z., Y. Wang, Y. Zou, Y. Song and Y. Liu, 2021: “Global wildfire plume‐rise dataset and parameterizations for climate model applications”, J. Geophys. Res. Atmos., 126, e2020JD033085, https://doi.org/10.1029/2020JD033085.
     
  40. Kganyago, M., K. Govender, L. Shikwambana and V. Sivakumar, 2021: “Study on Blazing Wildfires at the Outeniqua Pass in South Africa during the October/November 2018 Period”, Remote Sensing Applications: Society and Environment, 21, 100464, https://doi.org/10.1016/j.rsase.2020.100464.
     
  41. Kganyago, M. and L. Shikwambana, 2021: “Did COVID-19 Lockdown Restrictions have an Impact on Biomass Burning Emissions in Sub-Saharan Africa?”, Aerosol Air Qual. Res., 21, 200470, https://doi.org/10.4209/aaqr.2020.07.0470.
     
  42. Kotarba, A. Z. and M. Solecki, 2021: “Uncertainty Assessment of the Vertically-Resolved Cloud Amount for Joint CloudSat-CALIPSO Radar-Lidar Observations”, Remote Sens., 13, 807, https://doi.org/10.3390/rs13040807.
     
  43. Lakshmi, N. B., V. S. Nair and S. S. Babu, 2021: “Assessment of the vertical distribution of speciated aerosol absorption over South Asia using spaceborne LIDAR and ground-based observations”, Remote Sens. Environ., 253, 112164, https://doi.org/10.1016/j.rse.2020.112164.
     
  44. Lapere, R., S. Mailler and L. Menut, 2021: “The 2017 Mega-Fires in Central Chile: Impacts on Regional Atmospheric Composition and Meteorology Assessed from Satellite Data and Chemistry-Transport Modeling”, Atmosphere, 12, 344, https://doi.org/10.3390/atmos12030344.
     
  45. Lee, J., Y. R. Shi, C. Cai, P. Ciren, J. Wang, A. Gangopadhyay and Z. Zhang, 2021: “Machine Learning Based Algorithms for Global Dust Aerosol Detection from Satellite Images: Inter-Comparisons and Evaluation”, Remote Sens., 13, 456, https://doi.org/10.3390/rs13030456.
     
  46. Leonarski, L., L. C. Labonnote, M. Compiègne, J. Vidot, A. J. Baran and P. Dubuisson, 2021: “Potential of Hyperspectral Thermal Infrared Spaceborne Measurements to Retrieve Ice Cloud Physical Properties: Case Study of IASI and IASI-NG”, Remote Sens., 13, 116, https://doi.org/10.3390/rs13010116.
     
  47. Li, E., Z. Zhang, Y. Tan and Q. Wang, “A Novel Cloud Detection Algorithm Based on Simplified Radiative Transfer Model for Aerosol Retrievals: Preliminary Result on Himawari-8 Over Eastern China”, IEEE Trans. Geosci. Remote Sens., 59, 2550-2561, https://doi.org/10.1109/TGRS.2020.3004719.
     
  48. Li, J., J. Ma, C. Li, Y. Wang, Z. Li and J. Hong, 2021: “Multi-information collaborative cloud identification algorithm in Gaofen-5 Directional Polarimetric Camera imagery”, JQSRT, 261, 107439, https://doi.org/10.1016/j.jqsrt.2020.107439.
     
  49. Li, W., F. Zhang, Y. Yu, H. Iwabuchi, Z. Shen, G, Wang and Y. Zhang, 2021: “The semi-diurnal cycle of deep convective systems over Eastern China and its surrounding seas in summer based on an automatic tracking algorithm”, Clim. Dynam., 56, 357-379, https://doi.org/10.1007/s00382-020-05474-1.
     
  50. Liao, T., K. Gui, Y. Li, X. Wang and Y. Sun, 2021: “Seasonal distribution and vertical structure of different types of aerosols in southwest China observed from CALIOP”, Atmos. Environ., 246, 118145, https://doi.org/10.1016/j.atmosenv.2020.118145.
     
  51. Lin, C. and Y. Zhang, 2021: “Lofting and Circumnavigation of Biomass Burning Aerosols and Carbon Monoxide from a North American Wildfire in October 2020”, ACS Earth Space Chem., 5, 331-339, https://doi.org/10.1021/acsearthspacechem.0c00307.
     
  52. Liu, J., D. Wu, T. Wang, M. Ji and X. Wang, 2020: “Interannual variability of dust height and the dynamics of its formation over East Asia”, Sci. Total Environ., 751, 142288, https://doi.org/10.1016/j.scitotenv.2020.142288.
     
  53. Ma, Y., Y. Jin, M. Zhang, W. Gong, J. Hong, S. Jin, Y. Shi, Y. Zhang and B. Liu, 2021: “Aerosol optical properties of haze episodes in eastern China based on remote-sensing observations and WRF-Chem simulations”, Sci. Total Environ., 757, 143784, https://doi.org/10.1016/j.scitotenv.2020.143784.
     
  54. Manoj, M. G., S.-S. Lee and Z. Li, 2021: “Competing aerosol effects in triggering deep convection over the Indian Region”, Clim. Dynam., 56, 1815-1835, https://doi.org/10.1007/s00382-020-05561-3.
     
  55. Mao, F., M. Zhao, W. Gong, L. Chen and Z. Liang, 2021: “Layer detection algorithm for CALIPSO observation based on automatic segmentation with a minimum cost function”, JQSRT, 261, 107498, https://doi.org/10.1016/j.jqsrt.2020.107498.
     
  56. McErlich, C., A. McDonald, A. Schuddeboom and I. Silber, 2021: “Comparing satellite and ground-based observations of cloud occurrence over high southern latitudes”, J. Geophys. Res. Atmos., 126, e2020JD033607, https://doi.org/10.1029/2020JD033607.
     
  57. Minnis, P., S. Sun-Mack, Y. Chen, F.-L. Chang, C. R. Yost, W. L. Smith, Jr., P. W. Heck, R. F. Arduini, S. T. Bedka, Y. Yi, G. Hong, Z. Jin, D. Painemal, R. Palikonda, B. R. Scarino, D. A. Spangenberg, R. A. Smith, Q. Z. Trepte, P. Yang and Y. Xie, 2021: “CERES MODIS Cloud Product Retrievals for Edition 4—Part I: Algorithm Changes”, IEEE Trans. Geosci. Remote Sens., 59, 2744-2780, https://doi.org/10.1109/TGRS.2020.3008866.
     
  58. Murphy, A. and Y. Hu, 2021: “Retrieving Aerosol Optical Depth and High Spatial Resolution Ocean Surface Wind Speed From CALIPSO: A Neural Network Approach”, Front. Remote Sens., 1, 614029, https://doi.org/10.3389/frsen.2020.614029.
     
  59. Nickovic, S., B. Cvetkovic, S. Petković, V. Amiridis, G. Pejanović, S. Solomos, E. Marinou and J. Nikolic, 2021: “Cloud icing by mineral dust and impacts to aviation safety”, Sci. Rep., 11, 6411, https://doi.org/10.1038/s41598-021-85566-y.
     
  60. Painemal, D., A. F. Corral, A. Sorooshian, M. A. Brunke, S. Chellappan, V. A. Gorooh, S.-H. Ham, L. O’Neil, W. L. Smith Jr., G. Tselioudis, H. Wang, X. Zeng and P. Zuidema, 2021: “An Overview of Atmospheric Features Over the Western North Atlantic Ocean and North American East Coast - Part 2: Circulation, Boundary Layer, and Clouds”, J. Geophys. Res. Atmos., 126, e2020JD033423, https://doi.org/10.1029/2020JD033423.
     
  61. Pan, B., M. Wang, K. R. Kumar, M. Wang and N. S. M. P. L. Devi, 2021: “Global distribution of maritime low clouds with an emphasis on different aerosol types and meteorological parameters inferred from multi-satellite and reanalysis data during 2007-2016”, Atmos. Environ., 246, 118082, https://doi.org/10.1016/j.atmosenv.2020.118082.
     
  62. Prata, A. T., L. Mingari, A. Folch, G. Macedonio and A. Costa, 2021: “FALL3D-8.0: a computational model for atmospheric transport and deposition of particles, aerosols and radionuclides - Part 2: model applications”, Geosci. Model Dev., 14, 409-436, https://doi.org/10.5194/gmd-14-409-2021.
     
  63. Prijith, S. S., J. Srinivasulu and M. V. R. Sesha Sai, 2021: “Dominance of natural aerosols over India in pre-monsoon: inferences from the lockdown effects”, Curr. Sci. India, 120, 352-359, https://doi.org/10.18520/cs/v120/i2/352-359.
     
  64. Qiu, Z., M. A. Ali, J. E. Nichol, M. Bilal, P. Tiwari, B. A. Habtemicheal, M. Almazroui, S. K. Mondal, U. Mazhar, Y. Wang, S. Sarker, F. Mustafa and M. A. Rahman, 2021: “Spatiotemporal Investigations of Multi-Sensor Air Pollution Data over Bangladesh during COVID-19 Lockdown”, Remote Sens., 13, 877, https://doi.org/10.3390/rs13050877.
     
  65. Ranjbar, K., N. T. O’Neill, L. Ivanescu, J. King and P. L. Hayes, 2021: “Remote sensing of a high-Arctic, local dust event over Lake Hazen (Ellesmere Island, Nunavut, Canada)”, Atmos. Environ., 246, 118102, https://doi.org/10.1016/j.atmosenv.2020.118102.
     
  66. Ratnam, M. V., P. Prasad, S. T. A. Raj, M. R. Raman and G. Basha, 2021: “Changing patterns in aerosol vertical distribution over South and East Asia”, Sci. Rep., 11, 308, https://doi.org/10.1038/s41598-020-79361-4.
     
  67. Rugg, A., J. Haggerty and A. Protat, 2021: “Global and Regional Patterns in High Ice Water Content Conditions”, J. Appl. Meteor. Climatol., 60, 141-155, https://doi.org/10.1175/JAMC-D-20-0163.1.
     
  68. Rybka, H., U. Burkhardt, M. Köhler, I. Arka, L. Bugliaro, U. Görsdorf, Á. HorvÁth, C. I. Meyer, J. Reichardt, A. Seifert and J. Strandgren, 2021: “The behavior of high-CAPE (convective available potential energy) summer convection in large-domain large-eddy simulations with ICON”, Atmos. Chem. Phys., 21, 4285-4318, https://doi.org/10.5194/acp-21-4285-2021.
     
  69. Sagoo, N., T. Storelvmo, L. Hahn, I. Tan, J. Danco, B. Raney and A. J. Broccoli, 2021: “Observationally Constrained Cloud Phase Unmasks Orbitally Driven Climate Feedbacks”, Geophys. Res. Lett., 48, e2020GL091873, https://doi.org/10.1029/2020GL091873.
     
  70. Sandvik, O., 2021: “Effects of forest fire smoke and volcanism on the stratospheric aerosol”, Ph.D. Thesis, Department of Physics, Lund University, 64 pp. [see https://lup.lub.lu.se/record/f8d9c6d2-7e28-4fbe-86b8-6e8f8e015653].
     
  71. Selami, N., G. Sèze, M. Gaetani, J.-Y. Grandpeix, C. Flamant, J. Cuesta and N. Benabadji, 2021: “Cloud Cover over the Sahara during the Summer and Associated Circulation Features”, Atmosphere, 12, 428, https://doi.org/10.3390/atmos12040428.
     
  72. Shi, S., B. Zhu, W. Lu, S. Yan, C. Fang, X. Liu, D. Liu and C. Liu, 2021: “Estimation of radiative forcing and heating rate based on vertical observation of black carbon in Nanjing, China”, Sci. Total Environ., 756, 144135, https://doi.org/10.1016/j.scitotenv.2020.144135.
     
  73. Shikwambana, L. and M. Kganyago, 2021: “Observations of Emissions and the Influence of Meteorological Conditions during Wildfires: A Case Study in the USA, Brazil, and Australia during the 2018/19 Period”, Atmosphere, 12, 11, https://doi.org/10.3390/atmos12010011.
     
  74. Shiu, C.-J., Y.-C. Wang, H.-H. Hsu, W.-T. Chen, H.-L. Pan, R. Sun, Y.-H. Chen and C.-A. Chen, 2021: “GTS v1.0: A Macrophysics Scheme for Climate Models Based on a Probability Density Function”, Geosci. Model Dev., 14, 177-204, https://doi.org/10.5194/gmd-14-177-2021.
     
  75. Shukla, K. K., D. V. Phanikumar, K. N. Kumar, A. Kumar, M. Naja, S. Sharma and R. Attada, 2021: “Micro-Pulse Lidar observations of elevated aerosol layers over the Himalayan region”, J. Atmos. Sol.-Terr. Phy., 213, 105526, https://doi.org/10.1016/j.jastp.2020.105526.
     
  76. Singh, C., S. K. Singh, P. Chauhan and S. Budakoti, 2021: “Simulation of an extreme dust episode using WRF-CHEM based on optimal ensemble approach”, Atmos. Res., 249, 105296, https://doi.org/10.1016/j.atmosres.2020.105296.
     
  77. Snels, F. Colao, I. Shuli, A. Scoccione, M. De Muro, M. Pitts, L. Poole and L. di Liberto, 2021: “Quasi-coincident observations of polar stratospheric clouds by ground-based lidar and CALIOP at Concordia (Dome C, Antarctica) from 2014 to 2018”, Atmos. Chem. Phys., 21, 2165-2178, https://doi.org/10.5194/acp-21-2165-2021.
     
  78. Srivastava, A. K., P. D. Bhoyar, V. P. Kanawade, P. C. S. Devara, A. Thomas, V. K. Soni, 2021: “Improved air quality during COVID-19 at an urban megacity over the Indo-Gangetic Basin: From stringent to relaxed lockdown phases”, Urban Climate, 63, 100791, https://doi.org/10.1016/j.uclim.2021.100791.
     
  79. Steiner, M., B. Luo, T. Peter, M. C. Pitts and A. Stenke, 2021: “Evaluation of polar stratospheric clouds in the global chemistry-climate model SOCOLv3.1 by comparison with CALIPSO spaceborne lidar measurements”, Geosci. Model Dev., 14, 935-959, https://doi.org/10.5194/gmd-14-935-2021.
     
  80. Stubenrauch, C. J., G. Caria, S. E. Protopapadaki and F. Hemmer, 2021: “3D Radiative Heating of Tropical Upper Tropospheric Cloud Systems derived from Synergistic A-Train Observations and Machine Learning”, Atmos. Chem. Phys., 21, 1015-1034, https://doi.org/10.5194/acp-21-1015-2021.
     
  81. Su, B., D. Wu, M. Zhang, M. Bilal, Y. Li, B.-L. Li, L. Atique, Z. Zhang and F. M. Howari, 2021: “Spatio-Temporal Characteristics of PM2.5, PM10, and AOD over the Central Line Project of China’s South-North Water Diversion in Henan Province (China)”, Atmosphere, 12, 225, https://doi.org/10.3390/atmos12020225.
     
  82. Sunilkumar, K., N. Anand, S. K. Satheesh, K. Krishna Moorthy and G. Ilavazhagan, 2021: “Enhanced optical pulse broadening in free-space optical links due to the radiative effects of atmospheric aerosols”, Opt. Express., 29, 865-876, https://doi.org/10.1364/OE.409794.
     
  83. Suresh, K., U. Singh, A. Kumar, D. Karri, A. Peketi and V. Ramaswamy, 2021: “Provenance tracing of long-range transported dust over the Northeastern Arabian Sea during the southwest monsoon”, Atmos. Res., 250, 105377, https://doi.org/10.1016/j.atmosres.2020.105377.
     
  84. Taha, G., R. Loughman, T. Zhu, L. Thomason, J. Kar, L. Rieger and A. Bourassa, 2021: “OMPS LP Version 2.0 multi-wavelength aerosol extinction coefficient retrieval algorithm”, Atmos. Meas. Tech., 14, 1015-1036, https://doi.org/10.5194/amt-14-1015-2021.
     
  85. Tan, Z., J. Huo, S. Ma, D. Han, X. Wang, S. Hu and W. Yan, 2021: “Estimating cloud base height from Himawari-8 based on a random forest algorithm”, Int. J. Remote Sens., 42, 2485-2501, https://doi.org/10.1080/01431161.2020.1854891.
     
  86. Tesche, M., P. Achtert and M. C. Pitts, 2021: “On the best locations for ground-based polar stratospheric cloud (PSC) observations”, Atmos. Chem. Phys., 21, 505-516, https://doi.org/10.5194/acp-21-505-2021.
     
  87. Tripathee, L., S. Kang, P. Chen, H. Bhattarai, J. Guo, K. L. Shrestha, C. M. Sharma, P. S. Ghimire and J. Huang, 2021: “Water-soluble organic and inorganic nitrogen in ambient aerosols over the Himalayan middle hills: Seasonality, sources, and transport pathways”, Atmos. Res., 250, 105376, https://doi.org/10.1016/j.atmosres.2020.105376.
     
  88. Vaillant de Guélis, T., M. A. Vaughan, D. M. Winker and Z. Liu, 2021: “Two-dimensional and multi-channel feature detection algorithm for the CALIPSO lidar measurements”, Atmos. Meas. Tech., 14, 1593-1613, https://doi.org/10.5194/amt-14-1593-2021.
     
  89. VÁrnai, T. and A. Marshak, 2021: “Analysis of Near-Cloud Changes in Atmospheric Aerosols Using Satellite Observations and Global Model Simulations”, Remote Sens., 13, 1151, https://doi.org/10.3390/rs13061151.
     
  90. Villanueva, D., F. Senf and I. Tegen, 2021: “Hemispheric and seasonal contrast in cloud thermodynamic phase from A‐Train spaceborne instruments”, J. Geophys. Res. Atmos., 126, e2020JD034322, https://doi.org/10.1029/2020JD034322.
     
  91. Voigt, A., N. Albern, P. Ceppi, K. Grise, Y. Li and B. Medeiros, 2021: “Clouds, radiation, and atmospheric circulation in the present-day climate and under climate change”, WIREs Clim. Change, 12, e694, https://doi.org/10.1002/wcc.694.
     
  92. Wang, J., B Jian, G. Wang, Y. Zhao, Y. Li, H. Letu, M. Zhang and J. Li, 2021: “Climatology of Cloud Phase, Cloud Radiative Effects and Precipitation Properties over the Tibetan Plateau”, Remote Sens., 13, 363, https://doi.org/10.3390/rs13030363.
     
  93. Wang, L., B. Lyu and Y. Bai, 2020: “Global aerosol vertical structure analysis by clustering gridded CALIOP aerosol profiles with fuzzy k-means”, Sci. Total Environ., 761, 144076, https://doi.org/10.1016/j.scitotenv.2020.144076.
     
  94. Wang, T., J. Tang, M. Sun, X. Liu, Y. Huang, J. Huang, Y. Han, Y. Cheng, Z. Huang and J. Li, 2021: “Identifying a transport mechanism of dust aerosols over South Asia to the Tibetan plateau: A case study”, Sci. Total Environ., 758, 143714, https://doi.org/10.1016/j.scitotenv.2020.143714.
     
  95. Wang, W., C. Luo, L. Sheng, C. Zhao, Y. Zhou and Y. Chen, 2021: “Effects of biomass burning on chlorophyll-a concentration and particulate organic carbon in the subarctic North Pacific Ocean based on satellite observations and WRF-Chem model simulations: A case study”, Atmos. Res., 254, 105526, https://doi.org/10.1016/j.atmosres.2021.105526.
     
  96. Watson-Parris, D., S. A. Sutherland, M. W. Christensen, R. Eastman and P. Stier, 2021: “A large-scale analysis of pockets of open cells and their radiative impact”, Geophys. Res. Lett., 48, e2020GL092213, https://doi.org/10.1029/2020GL092213.
     
  97. Wei, J., Z. Wang, M. Gu, J.-J. Luo and Y. Wang, 2021: “An evaluation of the Arctic clouds and surface radiative fluxes in CMIP6 models”, Acta Oceanol. Sin., 40, 85-102, https://doi.org/10.1007/s13131-021-1705-6.
     
  98. Weston, M. J., M. Temimi, N. R. Nelli, R. M. Fonseca, M. S. Thota and V. K. Valappil, 2021: “On the Analysis of the Low-Level Double Temperature Inversion Over the United Arab Emirates: A Case Study During April 2019”, IEEE Geosci. Remote Sens. Lett., 18, 346-350, https://doi.org/10.1109/LGRS.2020.2972597.
     
  99. Xing, Z., S. Li, Y. Xiong and K. Du, 2021: “Estimation of cross-boundary aerosol flux over the Edmonton-Calgary Corridor in Canada based on CALIPSO and MERRA-2 data during 2011-2017”, Atmos. Environ., 246, 118084, https://doi.org/10.1016/j.atmosenv.2020.118084.
     
  100. Yang, H., Z. Fang, Y. Cao, C. Xie, T. Zhou, B. Wang, K. Xing and S. Lolli, 2021: “Impacts of Transboundary Dust Transport on Aerosol Pollution in the Western Yangtze River Delta Region, China: Insights Gained from Ground‐based Lidar and Satellite Observations”, Earth and Space Science, 8, e2020EA001533, https://doi.org/10.1029/2020EA001533.
     
  101. Yang, J., S. Li, W. Gong, Q. Min, F. Mao and Z. Pan, 2021: “A fast cloud geometrical thickness retrieval algorithm for single-layer marine liquid clouds using OCO-2 oxygen A-band measurements”, Remote Sens. Environ., 256, 112305, https://doi.org/10.1016/j.rse.2021.112305.
     
  102. Yang, X., C. Zhao, Y. Yang and H. Fan, 2021: “Long-term multi-source data analysis about the characteristics of aerosol optical properties and types over Australia”, Atmos. Chem. Phys., 21, 3803-3825, https://doi.org/10.5194/acp-21-3803-2021.
     
  103. Yang, X., C. Zhao, Y. Yang, X. Yan and H. Fan, 2021: “Statistical aerosol properties associated with fire events from 2002 to 2019 and a case analysis in 2019 over Australia”, Atmos. Chem. Phys., 21, 3833-3853, https://doi.org/10.5194/acp-21-3833-2021.
     
  104. Yang, Y., A. Anderson, D. Kiv, J. Germann, M. Fuchs, S. Palm and T. Wang, 2021: “Study of Antarctic blowing snow storms using MODIS and CALIOP observations with a machine learning model”, Earth and Space Science, 8, e2020EA001310, https://doi.org/10.1029/2020EA001310.
     
  105. Yang, Y., C. Zhao, Q. Wang, Z. Cong, X. Yang and H. Fan, 2021: “Aerosol characteristics at the three poles of the Earth as characterized by Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations”, Atmos. Chem. Phys., 21, 4849-4868, https://doi.org/10.5194/acp-21-4849-2021.
     
  106. Yuan, T., J. Huang, J. Cao, G. Zhang and X. Ma, 2021: “India dust-rain storm: possible influences of dust ice nuclei on deep convective clouds”, Sci. Total Environ., 779, 146439, https://doi.org/10.1016/j.scitotenv.2021.146439.
     
  107. You, C., 2021: “Spatio-Temporal Variations of Levoglucosan on Tibetan Glaciers”, in Geochemical Behavior of Levoglucosan in Tibetan Plateau Glacier Snow and Ice, Springer Theses (Recognizing Outstanding Ph.D. Research), pp. 23-44, Springer, Singapore. https://doi.org/10.1007/978-981-15-7973-8_4.
     
  108. Yu, Y., O. V. Kalashnikova, M. J. Garay, H. Lee, M. Choi, G. S. Okin, J. E. Yorks, J. R. Campbell and J. Marquis, 2021: “A global analysis of diurnal variability in dust and dust mixture using CATS observations”, Atmos. Chem. Phys., 21, 1427-1447, https://doi.org/10.5194/acp-21-1427-2021.
     
  109. Zabukovec, A., G. Ancellet, I. E. Penner, M. Arshinov, V. Kozlov, J. Pelon, J.-D. Paris, G. Kokhanenko, Y. S. Balin, D. Chernov and B. D. Belan, 2021: “Characterization of Aerosol Sources and Optical Properties in Siberia Using Airborne and Spaceborne Observations”, Atmosphere, 12, 244, https://doi.org/10.3390/atmos12020244.
     
  110. Zeng, S., A. Omar, M. Vaughan, M. Ortiz, C. Trepte, J. Tackett, J. Yagle, P. Lucker, Y. Hu, D. Winker, S. Rodier and B. Getzewich, 2021: “Identifying Aerosol Subtypes from CALIPSO Lidar Profiles Using Deep Machine Learning”, Atmosphere, 12, 10, https://doi.org/10.3390/atmos12010010.
     
  111. Zeng, X., J. Gong, X. Li and D. L. Wu, 2021: “Modeling the Radiative Effect on Microphysics in Cirrus Clouds against Satellite Observations”, J. Geophys. Res. Atmos., 126, e2020JD033923, https://doi.org/10.1029/2020JD033923.
     
  112. Zhamsueva, G., A. Zayakhanov, V. Tcydypov, A. Dementeva and T. Balzhanov, 2021: “Spatial-Temporal Variability of Small Gas Impurities over Lake Baikal during the Forest Fires in the Summer of 2019”, Atmosphere, 12, 20, https://doi.org/10.3390/atmos12010020.
     
  113. Zhang, X., K. Gui, T. Liao, Y. Li, X. Wang, X. Zhang, H. Ning, W. Liu and J. Xu, 2021: “Three-dimensional spatiotemporal evolution of wildfire-induced smoke aerosols: A case study from Liangshan, Southwest China”, Sci. Total Environ., 762, 144586, https://doi.org/10.1016/j.scitotenv.2020.144586.
     
  114. Zhang, Y., Y. Zhang, C. Yu and F. Yi, 2021: “Evolution of Aerosols in the Atmospheric Boundary Layer and Elevated Layers during a Severe, Persistent Haze Episode in a Central China Megacity”, Atmosphere, 12, 152, https://doi.org/10.3390/atmos12020152.
     

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Published in 2020
  1. Adebiyi, A. A., P. Zuidema, I. Chang and S. P. Burton, 2020: “Mid-level clouds are frequent above the southeast Atlantic stratocumulus clouds”, Atmos. Chem. Phys., 20, 11025-11043, https://doi.org/10.5194/acp-20-11025-2020.
     
  2. Abel, S. J., P. A. Barrett, P. Zuidema, J. Zhang, M. Christensen, F. Peers, J. W. Taylor, I. Crawford, K. N. Bower, and M. Flynn, 2020: “Open cells can decrease the mixing of free-tropospheric biomass burning aerosol into the south-east Atlantic boundary layer”, Atmos. Chem. Phys., 20, 4059-4084, https://doi.org/10.5194/acp-20-4059-2020.
     
  3. Ahmad, M., K. Alam, S. Tariq and T. Blaschke, 2020: “Contrasting changes in snow cover and its sensitivity to aerosol optical properties in Hindukush-Karakoram-Himalaya region”, Sci. Total Environ., 699, 134356, https://doi.org/10.1016/j.scitotenv.2019.134356.
     
  4. Akritidis, D., E. Katragkou, A. K. Georgoulias, P. Zanis, S. Kartsios, J. Flemming, A. Inness, J. Douros and H. Eskes, 2020: “A complex aerosol transport event over Europe during the 2017 Storm Ophelia in CAMS forecast systems: analysis and evaluation”, Atmos. Chem. Phys., 20, 13557-13578, https://doi.org/10.5194/acp-20-13557-2020.
     
  5. Alexandros, M., 2020: “Examining air pollutant levels and extinction coefficients in the Arabic Peninsula”, M.S. Thesis, Department of Physics, Aristotle University of Thessaloniki, 52 pp. [see http://ikee.lib.auth.gr/record/323124].
     
  6. Ali, M. D., J. E. Nichol, M. Bilal, Z. Qiu, U. Mazhar, M. Wahiduzzaman, M. Almazroui and M. N. Islam, 2020: “Classification of aerosols over Saudi Arabia from 2004-2016”, Atmos. Environ., 241, 117785, https://doi.org/10.1016/j.atmosenv.2020.117785.
     
  7. Ali, S., S. K. Mehta, A. Vanmathi, A. Aravindhavel and R. Reddy, 2020: “Qualitative observations of the cirrus clouds effect on the thermal structure of the tropical tropopause”, J. Atmos. Sol.-Terr. Phy., 211, 105440, https://doi.org/10.1016/j.jastp.2020.105440.
     
  8. Allen, D. R., M. D. Fromm, G. P. Kablick III and G. E. Nedoluha, 2020: “Smoke with Induced Rotation and Lofting (SWIRL) in the Stratosphere”, J. Atmos. Sci., 77, 4297-4316, https://doi.org/10.1175/JAS-D-20-0131.1.
     
  9. Alvarado, L. M. A., A. Richter, M. Vrekoussis, A. Hilboll, A. B. Kalisz Hedegaard, O. Schneising and J. P. Burrows, 2020: “Unexpected long-range transport of glyoxal and formaldehyde observed from the Copernicus Sentinel-5 Precursor satellite during the 2018 Canadian wildfires”, Atmos. Chem. Phys., 20, 2057-2072, https://doi.org/10.5194/acp-20-2057-2020.
     
  10. Aswini, M. A., A. Kumar and S. K. Das, 2020: “Quantification of long-range transported aeolian dust towards the Indian peninsular region using satellite and ground-based data - A case study during a dust storm over the Arabian Sea”, Atmos. Res., 239, 104910, https://doi.org/10.1016/j.atmosres.2020.104910.
     
  11. Avery, M. A., R. A. Ryan, B. J. Getzewich, M. A. Vaughan, D. M. Winker, Y. Hu, A. Garnier, J. Pelon and C. A. Verhappen, 2020: “CALIOP V4 Cloud Thermodynamic Phase Assignment and the Impact of Near-Nadir Viewing Angles”, Atmos. Meas. Tech., 13, 4539-4563, https://doi.org/10.5194/amt-13-4539-2020.
     
  12. Baba, Y. and M. A. Giorgetta, 2020: “Tropical variability simulated in ICON‐A with a spectral cumulus parameterization”, JAMES, 12, e2019MS001732, https://doi.org/10.1029/2019MS001732.
     
  13. Bacour, C., F.-M. Bréon, L. Gonzalez, I. Price, J. P. Muller, P. Prunet and A. G. Straume, 2020: “Simulating Multi-Directional Narrowband Reflectance of the Earth’s Surface Using ADAM (A Surface Reflectance Database for ESA’s Earth Observation Missions)”, Remote Sens., 12, 1679, https://doi.org/10.3390/rs12101679.
     
  14. Baek, E.-H., J.-H. Kim, S. Park, B.-M. Kim and J.-H. Jeong, 2020: “Impact of poleward heat and moisture transports on Arctic clouds and climate simulation”, Atmos. Chem. Phys., 20, 2953-2966, https://doi.org/10.5194/acp-20-2953-2020.
     
  15. Bai, B., Q. Zhang, W. Shao, Y. Wang and D. Tan, 2020: “The Response of the Aerosol Distribution to Monsoon Intensity Over the Summer Monsoon Transition Zone”, Front. Earth Sci., 7, 356, https://doi.org/10.3389/feart.2019.00356.
     
  16. Baron, A., P. Chazette and J. Totems, 2020: “Remote sensing of exceptional winter aerosol pollution events and representativeness of the surface - column relationship over Paris metropolitan area”, Atmos. Chem. Phys., 20, 6749-6768, https://doi.org/10.5194/acp-20-6749-2020.
     
  17. Baroni, T., P. Pandey, J. Preissler, G. Gimmestad and C. O’Dowd, 2020: “Comparison of Backscatter Coefficient at 1064 nm from CALIPSO and Ground-Based Ceilometers over Coastal and Non-Coastal Regions”, Atmosphere, 11, 1190, https://doi.org/10.3390/atmos11111190.
     
  18. Battaglia, A. and G. Panegrossi, 2020: “What Can We Learn from the CloudSat Radiometric Mode Observations of Snowfall over the Ice-Free Ocean?”, Remote Sens., 12, 3285, https://doi.org/10.3390/rs12203285.
     
  19. Bègue, N., L. Shikwambana, H. Bencherif, J. Pallota, V. Sivakumar, E. Wolfram, N. Mbatha, F. Orte, D. J. Du Preez, M. Ranaivombola, S. Piketh, and P. Formenti, 2020: “Statistical analysis of the long-range transport of the 2015 Calbuco volcanic eruption from ground-based and space-borne observations”, Ann. Geophys., 38, 395-420, https://doi.org/10.5194/angeo-38-395-2020.
     
  20. Bellouin, N., J. Quaas, E. Gryspeerdt, S. Kinne, P. Stier, D. Watson-Parris, O. Boucher, K. S. Carslaw, M. Christensen, A. L. Daniau, J. L. Dufresne, G. Feingold, S. Fiedler, P. Forster, A. Gettelman, J. M. Haywood, U. Lohmann, F. Malavelle, T. Mauritsen, D. T. McCoy, G. Myhre, J. Mülmenstädt, D. Neubauer, A. Possner, M. Rugenstein, Y. Sato, M. Schulz, S. E. Schwartz, O. Sourdeval, T. Storelvmo, V. Toll, D. Winker and B. Stevens, 2020: “Bounding global aerosol radiative forcing of climate change”, Rev. Geophys., 58, e2019RG000660, https://doi.org/10.1029/2019RG000660.
     
  21. Benas, N., J. F. Meirink, K.-G. Karlsson, M. Stengel, and P. Stammes, 2020: “Satellite observations of aerosols and clouds over southern China from 2006 to 2015: analysis of changes and possible interaction mechanisms”, Atmos. Chem. Phys., 20, 457-474, https://doi.org/10.5194/acp-20-457-2020.
     
  22. Berry, E., G. G. Mace and A. Gettelman, 2020: “Using A-Train Observations to Evaluate East Pacific Cloud Occurrence and Radiative Effects in the Community Atmosphere Model”, J. Climate, 33, 6187-6203, https://doi.org/10.1175/JCLI-D-19-0870.1.
     
  23. Bian, J., D. Li, Z. Bai, Q. Li, D. Lyu and X. Zhou, 2020: “Transport of Asian surface pollutants to the global stratosphere from the Tibetan Plateau region during the Asian summer monsoon”, Natl. Sci. Rev., 7, 516-533, https://doi.org/10.1093/nsr/nwaa005.
     
  24. Bian, Y., W. Xu, Y. Hu, J. Tao, Y. Kuang and C. Zhao, 2020: “Method to retrieve aerosol extinction profiles and aerosol scattering phase functions with a modified CCD laser atmospheric detection system”, Opt. Express, 28, 631-6647, https://doi.org/10.1364/OE.386214.
     
  25. Binder, H., M. Boettcher, H. Joos, M. Sprenger and H. Wernli, 2020: “Vertical cloud structure of warm conveyor belts - a comparison and evaluation of ERA5 reanalyses, CloudSat and CALIPSO data”, Weather Clim. Dynam., 1, 577-595, https://doi.org/10.5194/wcd-1-577-2020.
     
  26. Bjordal, J., T. Storelvmo, K. Alterskjær and T. Carlsen, 2020: “Equilibrium climate sensitivity above 5 °C plausible due to state-dependent cloud feedback”, Nat. Geosci., https://doi.org/10.1038/s41561-020-00649-1.
     
  27. Bolot, M. and S. Fueglistaler, 2020: “Reduction of bias from parameter variance in geophysical data estimation: method and application to ice water content and sedimentation flux estimated from lidar”, J. Atmos. Sci., 77, 835-857, https://doi.org/10.1175/JAS-D-19-0106.1.
     
  28. Boone, C. D., P. F. Bernath and M. D. Fromm, 2020: “Pyrocumulonimbus stratospheric plume injections measured by the Atmospheric Chemistry Experiment Fourier Transform Spectrometer (ACE-FTS)”, Geophys. Res. Lett., 47, e2020GL088442, https://doi.org/10.1029/2020GL088442.
     
  29. Braun, R. A., 2020: “Investigations of Atmospheric Aerosols and Clouds in Marine Environments”, Ph.D. Thesis, Department of Chemical and Environmental Engineering, University of Arizona [see https://search.proquest.com/openview/bb3e74e9c8b0b6cc480403ffc191a97d/1].
     
  30. Braun, R. A., M. A. Aghdam, P. A. Bañaga, G. Betito, M. O. Cambaliza, M. T. Cruz, G. R. Lorenzo, A. B. MacDonald, J. B. Simpas, C. Stahl and A. Sorooshian, 2020: “Long-range aerosol transport and impacts on size-resolved aerosol composition in Metro Manila, Philippines”, Atmos. Chem. Phys., 20, 2387-2405, https://doi.org/10.5194/acp-20-2387-2020.
     
  31. Carella, G., M. Vrac, H. Brogniez, P. Yiou and H. Chepfer, 2019: “Statistical downscaling of water vapour satellite measurements from profiles of tropical ice clouds”, Earth Syst. Sci. Data, 12, 1-20, https://doi.org/10.5194/essd-12-1-2020.
     
  32. Chaibou, A. A. S., X. Ma, K. R. Kumar, H. Jia, Y. Tang and T. Sha, 2020: “Evaluation of dust extinction and vertical profiles simulated by WRF-Chem with CALIPSO and AERONET over North Africa”, J. Atmos. Sol.-Terr. Phy., 199, 105213, https://doi.org/10.1016/j.jastp.2020.105213.
     
  33. Chakraborty, S., J. H. Jiang, H. Su and R. Fu, 2020: “Deep Convective Evolution from Shallow Clouds over the Amazon and Congo Rainforests”, J. Geophys. Res. Atmos., 125, e2019JD030962, https://doi.org/10.1029/2019JD030962.
     
  34. Chang, K.-W. and T. L’Ecuyer, 2020: “Influence of gravity wave temperature anomalies and their vertical gradients on cirrus clouds in the tropical tropopause layer - a satellite-based view”, Atmos. Chem. Phys., 20, 12499-12514, https://doi.org/10.5194/acp-20-12499-2020.
     
  35. Chazette, P., 2020: “Aerosol optical properties as observed from an ultralight aircraft over the Strait of Gibraltar”, Atmos. Meas. Tech., 13, 4461-4477, https://doi.org/10.5194/amt-13-4461-2020.
     
  36. Chen, S., C. Cheng, X. Zhang, L. Su, B. Tong, C. Dong, F. Wang, B. Chen, W. Chen and D. Liu, 2020: “Construction of Nighttime Cloud Layer Height and Classification of Cloud Types”, Remote Sens., 12, 668, https://doi.org/10.3390/rs12040668.
     
  37. Chen, S., B. Tong, C. Dong, F. Wang, B. Chen, C. Cheng, X. Zhang and D. Liu, 2020: “Retrievals of aerosol layer height during dust events over the Taklimakan and Gobi Desert”, JQSRT, 254, 107198, https://doi.org/10.1016/j.jqsrt.2020.107198.
     
  38. Chhabra, A., T. Turakhia, S. Sharma, S. Saha, R. Iyer and P. Chauhan, 2020: “Environmental Impacts of Fireworks on Aerosol Characteristics and Radiative Properties over a Mega City, India”, City and Environment Interactions, 7, 100049, https://doi.org/10.1016/j.cacint.2020.100049.
     
  39. Cho, H., 2020: “Cloud-longwave feedback processes over the tropical and Arctic regions”, Ph.D. Thesis, College of Natural Sciences, Seoul National University, 135 pp. [see http://hdl.handle.net/10371/167612].
     
  40. Cho, H., S.‐Y. Jun, C.‐H. Ho and G. McFarquhar, 2020: “Simulations of winter Arctic clouds and associated radiation fluxes using different cloud microphysics schemes in the Polar WRF: Comparisons with CloudSat, CALIPSO, and CERES”, J. Geophys. Res. Atmos., 125, e2019JD031413, https://doi.org/10.1029/2019JD031413.
     
  41. Choi, Y., S.‐H. Chen, C.‐C. Huang, K. Earl, C.‐Y. Chen, C. S. Schwartz and T. Matsui, 2020: “Evaluating the impact of assimilating aerosol optical depth observations on dust forecasts over North Africa and the East Atlantic using different data assimilation methods”, JAMES, 12, e2019MS001890, https://doi.org/10.1029/2019MS001890.
     
  42. Chouza, F., T. Leblanc, J. Barnes, M. Brewer, P. Wang and D. Koon, 2020: “Long-term (1999-2019) variability of stratospheric aerosol over Mauna Loa, Hawaii, as seen by two co-located lidars and satellite measurements”, Atmos. Chem. Phys., 20, 6821-6839, https://doi.org/10.5194/acp-20-6821-2020.
     
  43. Christian, K., J. Yorks and S. Das, 2020: “Differences in the Evolution of Pyrocumulonimbus and Volcanic Stratospheric Plumes as Observed by CATS and CALIOP Space-Based Lidars”, Atmosphere, 11, 1035, https://doi.org/10.3390/atmos11101035.
     
  44. Christiansen, A., 2020: “Spatiotemporal Analysis of Particulate Matter Chemical Composition: Liquid Water Impacts over the United States”, Ph.D. Thesis, Department of Chemistry, University of California, Irvine, 272 pp. [see https://search.proquest.com/docview/2428020067].
     
  45. Cuesta, J. C. Flamant, M. Gaetani, P. Knippertz, A. H. Fink, P. Chazette, M. Eremenko, G. Dufour, C. Di Biagio and P. Formenti, 2020: “Three‐dimensional pathways of dust over the Sahara during summertime 2011 as revealed by new IASI observations”, Q. J. Roy. Meteorol. Soc., 146, 2731-2755, https://doi.org/10.1002/qj.3814.
     
  46. Das, S., H. Harshvardhan and P. R. Colarco, 2020: “The influence of elevated smoke layers on stratocumulus clouds over the SE Atlantic in the NASA Goddard Earth Observing System (GEOS) model”, J. Geophys. Res. Atmos., 125, e2019JD031209, https://doi.org/10.1029/2019JD031209.
     
  47. de Laat, A., M. Vazquez-Navarro, N. Theys, and P. Stammes, 2020: “Analysis of properties of the 19 February 2018 volcanic eruption of Mount Sinabung in S5P/TROPOMI and Himawari satellite data”, Nat. Hazards Earth Syst. Sci., 20, 1203-1217, https://doi.org/10.5194/nhess-20-1203-2020.
     
  48. DeLand, M. T., P. K. Bhartia, N. Kramarova and Z. Chen, 2020: “OMPS LP Observations of PSC Variability During the NH 2019-2020 Season”, Geophys. Res. Lett., 47, e2020GL090216, https://doi.org/10.1029/2020GL090216.
     
  49. Dhital, S., M. L. Kaplan, J. A. G. Orza and S. Fiedler, 2020: “Atmospheric Dynamics of a Saharan Dust Outbreak over Mindelo, Cape Verde Islands Preceded by Rossby Wave Breaking: Multi‐scale Observational Analyses and Simulations”, J. Geophys. Res. Atmos., 125, e2020JD032975, https://doi.org/10.1029/2020JD032975.
     
  50. Dionisi, D., V. E. Brando, G. Volpe, S. Colella and R. Santoleri, 2020: “Seasonal distributions of ocean particulate optical properties from spaceborne lidar measurements in Mediterranean and Black sea”, Remote Sens. Environ., 247, 111889, https://doi.org/10.1016/j.rse.2020.111889.
     
  51. Douglas, A. and T. L’Ecuyer, 2020: “Quantifying Cloud Adjustments and the Radiative Forcing due to Aerosol-Cloud Interactions in Satellite Observations of Warm Marine Clouds”, Atmos. Chem. Phys., 20, 6225-6241, https://doi.org/10.5194/acp-20-6225-2020.
     
  52. Du, L., Y. Pan and W. Wang, 2020: “Random Sample Fitting Method to Determine the Planetary Boundary Layer Height Using Satellite-Based Lidar Backscatter Profiles”, Remote Sens., 12, 4006, https://doi.org/10.3390/rs12234006.
     
  53. Duc, H. N., K. Shingles, S. White, D. Salter, L. T.-C. Chang, G. Gunashanhar, M. Riley, T. Trieu, U. Dutt, M. Azzi, K. Beyer, R. Hynes and J. Kirkwood, 2020: “Spatial-Temporal Pattern of Black Carbon (BC) Emission from Biomass Burning and Anthropogenic Sources in New South Wales and the Greater Metropolitan Region of Sydney, Australia”, Atmosphere, 11, 570, https://doi.org/10.3390/atmos11060570.
     
  54. Duncan, B. N., L. E. Ott, J. B. Abshire, L. Brucker, M. L. Carroll, J. Carton, J. C. Comiso, E. P. Dinnat, B. C. Forbes, A. Gonsamo, W. W. Gregg, D. K. Hall, I. Ialongo, R. Jandt, R. A. Kahn, A. Karpechko, S. R. Kawa, S. Kato, T. Kumpula, E. Kyrölä, T. V. Loboda, K. C. McDonald, P. M. Montesano, R. Nassar, C. S. R. Neigh, C. L. Parkinson, B. Poulter, J. Pulliainen, K. Rautiainen, B. M. Rogers, C. S. Rousseaux, A. J. Soja, N. Steiner, J. Tamminen, P. C. Taylor, M. A. Tzortziou, H. Virta, J. S. Wang, J. D. Watts, D. M. Winker and D. L. Wu, 2020: “Space-Based Observations for Understanding Changes in the Arctic-Boreal Zone”, Rev. Geophys., 58, e2019RG000652, https://doi.org/10.1029/2019RG000652.
     
  55. Dutta, U., H. S. Chaudhari, A. Hazra, S. Pokhrel, S. K. Saha and C. Veeranjaneyulu, 2020: “Role of convective and microphysical processes on the simulation of monsoon intraseasonal oscillation”, Clim. Dynam., 55, 2377-2403, https://doi.org/10.1007/s00382-020-05387-z.
     
  56. Efon, E., B. B. S. Wandjie, A. Lenouo, D. Monkam and D. Manatsa, 2020: “African summer monsoon active and break spells cloud properties: Insight from CloudSat-CALIPSO”, Atmos. Res., 237, 104842, https://doi.org/10.1016/j.atmosres.2020.104842.
     
  57. El Amraoui, L., B. Sič, A. Piacentini, V. Marécal, J.-L. Attié, and N. Frebourg, 2020: “Aerosol data assimilation in the chemical transport model MOCAGE during the TRAQA/ChArMEx campaign: Lidar observations”, Atmos. Meas. Tech., 13, 4645-4667, https://doi.org/10.5194/amt-13-4645-2020.
     
  58. Eliasson, S., K.-G. Karlsson, and U. Willén, 2020: “A simulator for the CLARA-A2 cloud climate data record and its application to assess EC-Earth polar cloudiness”, Geosci. Model Dev., 13, 297-314, https://doi.org/10.5194/gmd-13-297-2020.
     
  59. Evan, S., J. Brioude, K. Rosenlof, S. M. Davis, H. Vömel, D. Héron, F. Posny, J.-M. Metzger, V. Duflot, G. Payen, H. Vérèmes, P. Keckhut and J.-P. Cammas, 2020: “Effect of deep convection on the tropical tropopause layer composition over the southwest Indian Ocean during austral summer”, Atmos. Chem. Phys., 20, 10565-10586, https://doi.org/10.5194/acp-20-10565-2020.
     
  60. Fairlie, T. D., H. Liu, J.-P. Vernier, P. Campuzano-Jost, J. L. Jimenez, D. S. Jo, B. Zhang, M. Natarajan, M. A. Avery and G. Huey, 2020: “Estimates of regional source contributions to the Asian Tropopause Aerosol Layer using a chemical transport model”, J. Geophys. Res. Atmos., 125, e2019JD031506, https://doi.org/10.1029/2019JD031506.
     
  61. Fielding, M. D. and M. Janiskova, 2020: “Direct 4D-Var assimilation of space-borne cloud radar reflectivity and lidar backscatter. Part I: Observation operator and implementation”, Q. J. Roy. Meteorol. Soc., 146, 3877-3899, https://doi.org/10.1002/qj.3878.
     
  62. Filioglou, M., 2020: “Atmospheric profiling using the lidar technique”, Ph.D. Thesis, Finnish Meteorological Institute, 86 pp. [see http://hdl.handle.net/10138/316033].
     
  63. Flower, V. J. B. and R. A. Kahn, 2020: “Interpreting the volcanological processes of Kamchatka, based on multi-sensor satellite observations”, Remote Sens. Environ., 237, 111585, https://doi.org/10.1016/j.rse.2019.111585.
     
  64. Francis, D., R. Fonseca, N. Nelli, J. Cuesta, M. Weston, A. Evan and M. Temimi, 2020: “The Atmospheric Drivers of the Major Saharan Dust Storm in June 2020”, Geophys. Res. Lett., 47, e2020GL090102, https://doi.org/10.1029/2020GL090102.
     
  65. Frey, R. A., S. A. Ackerman, R. E. Holz, S. Dutcher and Z. Griffith, 2020: “The Continuity MODIS-VIIRS Cloud Mask”, Remote Sens., 12, 3334, https://doi.org/10.3390/rs12203334.
     
  66. Gallagher, M. R., H́. Chepfer, M D. Shupe and R. Guzman, 2020: “Warm temperature extremes across Greenland connected to clouds”, Geophys. Res. Lett., 47, e2019GL086059, https://doi.org/10.1029/2019GL086059.
     
  67. Gandham, H., H. P. Dasari, S. Langodan, R. K. Karumuri and I. Hoteit, 2020: “Major changes in extreme dust events dynamics over the Arabian Peninsula during 2003-2017 driven by atmospheric conditions”, J. Geophys. Res. Atmos., 125, e2020JD032931, https://doi.org/10.1029/2020JD032931.
     
  68. Gaston, C. J., 2020: “Re-examining Dust Chemical Aging and Its Impacts on Earth’s Climate”, Acc. Chem. Res, 53, 1005-1013, https://doi.org/10.1021/acs.accounts.0c00102.
     
  69. Georgoulias, A. K., E. Marinou, A. Tsekeri, E. Proestakis, D. Akritidis, G. Alexandri, P. Zanis, D. Balis, F. Marenco, M. Tesche and V. Amiridis, 2020: “A First Case Study of CCN Concentrations from Spaceborne Lidar Observations”, Remote Sens., 12, 1557, https://doi.org/10.3390/rs12101557.
     
  70. Ghomashi, F. and H. R. Khalesifard, 2020: “Investigation and characterization of atmospheric aerosols over the Urmia Lake using the satellite data and synoptic recordings”, Atmos. Pollut. Res., 11, 2076-2086, https://doi.org/10.1016/j.apr.2020.08.020.
     
  71. Ghosh, A., A. Roy, S. K. Das, S. K. Ghosh, S. Raha and A. Chatterjee, 2020: “Identification of most preferable reaction pathways for chloride depletion from size segregated sea-salt aerosols: A study over high altitude Himalaya, tropical urban metropolis and tropical coastal mangrove forest in eastern India”, Chemosphere, 245, 125673, https://doi.org/10.1016/j.chemosphere.2019.125673.
     
  72. Gialitaki, A., A. Tsekeri, V. Amiridis, R. Ceolato, L. Paulien, A. Kampouri, A. Gkikas, S. Solomos, E. Marinou, M. Haarig, H. Baars, A. Ansmann, T. Lapyonok, A. Lopatin, O. Dubovik, S. Groß, M. Wirth and D. Balis, 2020: “Is the near-spherical shape the new black for smoke?”, Atmos. Chem. Phys., 20, 14005-14021, https://doi.org/10.5194/acp-20-14005-2020.
     
  73. Go, S., J. Kim, J. Mok, H. Irie, J. Yoon, O. Torres, N. A. Krotkov, G. Labow, M. Kim, J.-H. Koo, M. Choi and H. Lim, 2020: “Ground-based retrievals of aerosol column absorption in the UV spectral region and their implications for GEMS measurements”, Remote Sens. Environ., 245, 111759, https://doi.org/10.1016/j.rse.2020.111759.
     
  74. Go, S., J. Kim, S. S. Park, M. Kim, H. Lim, J.-Y. Kim, D.-W. Lee and J. Im, 2020: “Synergistic Use of Hyperspectral UV-Visible OMI and Broadband Meteorological Imager MODIS Data for a Merged Aerosol Product”, Remote Sens., 12, 3987, https://doi.org/10.3390/rs12233987.
     
  75. Gomis-Cebolla, J., J. C. Jimenez and J. A. Sobrino, 2020: “MODIS probabilistic cloud masking over the Amazonian evergreen tropical forests: a comparison of machine learning-based methods”, Int. J. Remote Sens., 41, 185-210, https://doi.org/10.1080/01431161.2019.1637963.
     
  76. González, R., C. Toledano, R. Román, D. Mateos, E. Asmi, E. Rodríguez, I. C. Lau, J. Ferrara, R. D’Elia, J. C. Antuña-Sánchez, V. E. Cachorro, A. Calle and Á. M. de Frutos, 2020: “Characterization of Stratospheric Smoke Particles over the Antarctica by Remote Sensing Instruments”, Remote Sens., 12, 3769, https://doi.org/10.3390/rs12223769.
     
  77. Gossart, A., S. P. Palm, N. Souverijns, J. T. M. Lenaerts, I. V. Gorodetskaya, S. Lhermitte and N. P. M. van Lipzig, 2020: “Importance of Blowing Snow During Cloudy Conditions in East Antarctica: Comparison of Ground-Based and Space-Borne Retrievals Over Ice-Shelf and Mountain Regions”, Front. Earth Sci., 8, 240, https://doi.org/10.3389/feart.2020.00240.
     
  78. Goto, D., Y. Sato, H. Yashiro, K. Suzuki, E. Oikawa, R. Kudo, T. M. Nagao and T. Nakajima, 2020: “Global aerosol simulations using NICAM.16 on a 14-km grid spacing for a climate study: Improved and remaining issues relative to a lower-resolution model”, Geosci. Model Dev., 13, 3731-3768, https://doi.org/10.5194/gmd-13-3731-2020.
     
  79. Grebennikov, V. S., D. S. Zubachev, V. A. Korshunov, D. G. Sakhibgareev and I. A. Chernikh, 2020: “Observations of Stratospheric Aerosol at Rosgidromet Lidar Stations after the Eruption of the Raikoke Volcano in June 2019”, Atmospheric and Oceanic Optics, 33, 519-523, https://doi.org/10.1134/S1024856020050097.
     
  80. Griessbach, S., L. Hoffmann, R. Spang, P. Achtert, M. von Hobe, N. Mateshvili, R. Müller, M. Riese, C. Rolf, P. Seifert, and J.-P. Vernier, 2020: “Aerosol and cloud top height information of Envisat MIPAS measurements”, Atmos. Meas. Tech., 13, 1243-1271, https://doi.org/10.5194/amt-13-1243-2020.
     
  81. Griffin, D., C. Sioris, J. Chen, N. Dickson, A. Kovachik, M. de Graaf, S. Nanda, P. Veefkind, E. Dammers, C. A. McLinden, P. Makar and A. Akingunola, 2020: “The 2018 fire season in North America as seen by TROPOMI: aerosol layer height validation and evaluation of model-derived plume heights”, Atmos. Meas. Tech., 13, 1427-1445, https://doi.org/10.5194/amt-13-1427-2020.
     
  82. Grosvenor, D. P. and K. S. Carslaw, 2020: “The decomposition of cloud-aerosol forcing in the UK Earth System Model (UKESM1)”, Atmos. Chem. Phys., 20, 15681-15724, https://doi.org/10.5194/acp-20-15681-2020.
     
  83. Guleria, R. P. and K. Chand, 2020: “Emerging patterns in global and regional aerosol characteristics: a study based on satellite remote sensors”, J. Atmos. Sol.-Terr. Phy., 197, 105177, https://doi.org/10.1016/j.jastp.2019.105177.
     
  84. Guo, Z., M. Wang, Y. Peng and Y. Luo, 2020: “Evaluation on the vertical distribution of liquid and ice phase cloud fraction in Community Atmosphere Model version 5.3 using spaceborne lidar observations”, Earth and Space Science, 7, e2019EA001029, https://doi.org/10.1029/2019EA001029.
     
  85. Han, J.-H., M.-S. Suh, H.-Y. Yu and N.-Y. Roh, 2020: “Development of Fog Detection Algorithm Using GK2A/AMI and Ground Data”, Remote Sens., 12, 3181, https://doi.org/10.3390/rs12193181.
     
  86. Han, W., Z. Li, J. Guo, T. Su, T. Chen, J. Wei and M. Cribb, 2020: “The Urban-Rural Heterogeneity of Air Pollution in 35 Metropolitan Regions across China”, Remote Sens., 12, 2320, https://doi.org/10.3390/rs12142320.
     
  87. Hang, Y., 2020: “New Light on Earth’s Energy Budget and Its Implication for Solar Energy Potential”, Ph.D. Thesis, Department of Atmospheric and Oceanic Sciences, University of Wisconsin-Madison [see https://search.proquest.com/openview/88bb52b410f363f45a3065a-183db6562/1?pq-origsite=gscholar&cbl=18750&diss=y].
     
  88. Heidinger, A. K., M. J. Pavolonis, C. Calvert, J. Hoffman, S. Nebuda, W. Straka, A. Walther and S. Wanzong, 2020: “Chapter 6 - ABI Cloud Products from the GOES-R Series”, in The GOES-R Series, S. J. Goodman, T. J. Schmit, J. Daniels and R. J. Redmon, Eds., Elsevier, pp. 43-62, https://doi.org/10.1016/B978-0-12-814327-8.00006-8.
     
  89. Herbert, R. J., N. Bellouin, E. J. Highwood and A. A. Hill, 2020: “Diurnal cycle of the semi-direct effect from a persistent absorbing aerosol layer over marine stratocumulus in large-eddy simulations”, Atmos. Chem. Phys., 20, 1317-1340, https://doi.org/10.5194/acp-20-1317-2020.
     
  90. Hinkelman, L. M. and R. Marchand, 2020: “Evaluation of CERES and CloudSat Surface Radiative Fluxes over Macquarie Island, the Southern Ocean”, Earth and Space Science, 7, e2020EA001224, https://doi.org/10.1029/2020EA001224.
     
  91. Höjgård-Olsen, E., H. Brogniez and H. Chepfer, 2020: “Observed Evolution of the Tropical Atmospheric Water Cycle with Sea Surface Temperature”, J. Climate, 33, 3449-3470, https://doi.org/10.1175/JCLI-D-19-0468.1.
     
  92. Holanda, B. A., M. L. Pöhlker, J. Saturno, M. Sörgel, J. Ditas, F. Ditas, Q. Wang, T. Donth, P. Artaxo, H. M. J. Barbosa, R. Braga, J. Brito, Y. Cheng, M. Dollner, M. A. Franco, J. Kaiser, T. Klimach, C. Knote, O. O. Kröger, D. Fütterer, J. V. Lavric, N. Ma, L. A. T. Machado, J. Ming, F. Morais, H. Paulsen, D. Sauer, H. Schlager, H. Su, B. Weinzierl, A. Walser, D. Walter, M. Wendisch, H. Ziereis, M. Zöger, U. Pöschl, M. O. Andreae and C. Pöhlker, 2020: “Influx of African biomass burning aerosol during the Amazonian dry season through layered transatlantic transport of black carbon-rich smoke”, Atmos. Chem. Phys., 20, 4757-4785, https://doi.org/10.5194/acp-20-4757-2020.
     
  93. Hong, Y. and L. Di Girolamo, 2020: “Cloud Phase Characteristics over Southeast Asia from A-Train Satellite Observations”, Atmos. Chem. Phys., 20, 8267-8291, https://doi.org/10.5194/acp-20-8267-2020.
     
  94. Hooghiem, J. J. D., M. E. Popa, T. Röckmann, J.-U. Grooß, I. Tritscher, R. Müller, R. Kivi and H. Chen, 2020: “Wildfire smoke in the lower stratosphere identified by in situ CO observations”, Atmos. Chem. Phys., 20, 13985-14003, https://doi.org/10.5194/acp-20-13985-2020.
     
  95. Hotta, H., K. Suzuki, D. Goto and M, Lebsock, 2020: “Climate Impact of Cloud Water Inhomogeneity through Microphysical Processes in a Global Climate Model”, J. Climate, 33, 5195-5212, https://doi.org/10.1175/JCLI-D-19-0772.1.
     
  96. Hourdin, F., C. Rio, A. Jam, A.‐K. Traore and I. Musat, 2020: “Convective boundary layer control of the sea surface temperature in the tropics”, JAMES, 12, e2019MS001988, https://doi.org/10.1029/2019MS001988.
     
  97. Hu, X., J. Ge, Y. Li, R. Marchand, J. Huang and Q. Fu, Q, 2020: “Improved Hydrometeor Detection Method: An Application to CloudSat”, Earth and Space Science, 7, e2019EA000900, https://doi.org/10.1029/2019EA000900.
     
  98. Hu, Z., J. Huang, C. Zhao, Q. Jin, Y. Ma, and B. Yang, 2020: “Modeling dust sources, transport, and radiative effects at different altitudes over the Tibetan Plateau”, Atmos. Chem. Phys., 20, 1507-1529, https://doi.org/10.5194/acp-20-1507-2020.
     
  99. Hyman, D. M. and M. J. Pavolonis, 2020: “Probabilistic retrieval of volcanic SO2 layer height and partial column density using the Cross-track Infrared Sounder (CrIS)”, Atmos. Meas. Tech., 13, 5891-5921, https://doi.org/10.5194/amt-13-5891-2020.
     
  100. Janiskova, M. and M. D. Fielding, 2020: “Direct 4D-Var assimilation of space-borne cloud radar and lidar observations. Part II: Impact on analysis and subsequent forecast”, Q. J. Roy. Meteorol. Soc., 146, 3900-3916, https://doi.org/10.1002/qj.3879.
     
  101. Jee, J.-B., K.-T. Lee, K.-H. Lee and I.-S. Zo, 2020: “Development of GK-2A AMI Aerosol Detection Algorithm in the East-Asia Region Using Himawari-8 AHI Data”, Asia-Pac. J. Atmos. Sci., 56, 207-223, https://doi.org/10.1007/s13143-019-00156-3.
     
  102. Ji, S. and C. Nianwen, 2020: “Comprehensive observation and analysis of aerosol optical properties and vertical distribution in Nanjing, China”, Atmos. Environ., 239, 117767, https://doi.org/10.1016/j.atmosenv.2020.117767.
     
  103. Jiménez, P. A., 2020: “Assessment of the GOES-16 Clear Sky Mask Product over the Contiguous USA Using CALIPSO Retrievals”, Remote Sens., 12, 1630, https://doi.org/10.3390/rs12101630.
     
  104. Jing, F. and R. P. Singh, 2020: “Optical properties of dust and crop burning emissions over India using ground and satellite data”, Sci. Total Environ., 718, 134476, https://doi.org/10.1016/j.scitotenv.2019.134476.
     
  105. Jose, S., V. S. Nair and S. S. Babu, 2020: “Anthropogenic emissions from South Asia reverses the aerosol indirect effect over the northern Indian Ocean”, Sci. Rep., 10, 18360, https://doi.org/10.1038/s41598-020-74897-x.
     
  106. Jumelet, J., A. R. Klekociuk, S. P. Alexander, S. Bekki, A. Hauchecorne, J. P. Vernier, M. Fromm and P. Keckhut, 2020: “Detection of Aerosols in Antarctica from Long-Range Transport of the 2009 Australian Wildfires”, J. Geophys. Res. Atmos., 125, e2020JD032542, https://doi.org/10.1029/2020JD032542.
     
  107. Jury, M. R. and D. Bernard, 2020: “Climate Trends in the East Antilles Islands”, Int. J. Climatol., 40, 36-51, https://doi.org/10.1002/joc.6191.
     
  108. Jury, M. R., 2020: “Meteorology of air pollution in Los Angeles”, Atmos. Pollut. Res., 11, 1226-1237, https://doi.org/10.1016/j.apr.2020.04.016.
     
  109. Kablick, G. P. III, D. R. Allen, M. D. Fromm and G. E. Nedoluha, 2020: “Australian pyroCb smoke generates synoptic‐scale stratospheric anticyclones”, Geophys. Res. Lett., 47, e2020GL088101, https://doi.org/10.1029/2020GL088101.
     
  110. Kalinskaya, D. V., A. S. Papkova and D. M. Kabanov, 2020: “Research of the Aerosol Optical and Microphysical Characteristics of the Atmosphere over the Black Sea Region by the FIRMS System during the Forest Fires in 2018-2019”, Physical Oceanography, 27, 514-524, https://doi.org/10.22449/1573-160X-2020-5-514-524.
     
  111. Kalluri, R. O. R., B. Gugamsetty, R. G. Kotalo, L. R. Thotli, C. R. Tandule and B. Akkiraju, 2020: “Long-term (2008-2017) analysis of atmospheric composite aerosol and black carbon radiative forcing over a semi-arid region in southern India: Model results and ground measurement”, Atmos. Environ., 240, 117840, https://doi.org/10.1016/j.atmosenv.2020.117840.
     
  112. Kalluri, R. O. R., X. Zhang, L. Bi, J. Zhao, L. Yu and K. R. Gopal, 2020: “Carbonaceous aerosol emission reduction over Shandong province and the impact of air pollution control as observed from synthetic satellite data”, Atmos. Environ., 222, 117150, https://doi.org/10.1016/j.atmosenv.2019.117150.
     
  113. Kang, H., Y.‑S. Choi, J. Hwang and H.‑S. Kim, 2020: “On the cloud radiative effect for tropical high clouds overlying low clouds”, Geosci. Lett., 7, 7, https://doi.org/10.1186/s40562-020-00156-6.
     
  114. Karami, S., N. H. Hamzeh, K. Alam and A. Ranjbar, 2020: “The study of a rare frontal dust storm with snow and rain fall: Model results and ground measurements”, J. Atmos. Sol.-Terr. Phy., 197, 105149, https://doi.org/10.1016/j.jastp.2019.105149.
     
  115. Karlsson, K.-G., E. Johansson, N. Håkansson, J. Sedlar and S. Eliasson, 2020: “Probabilistic Cloud Masking for the Generation of CM SAF Cloud Climate Data Records from AVHRR and SEVIRI Sensors”, Remote Sens., 12, 713, https://doi.org/10.3390/rs12040713.
     
  116. Kawamoto, K., A. Yamauchi, K. Suzuki, H. Okamoto and J. Li, 2020: “Effect of dust load on the cloud top ice‐water partitioning over northern middle to high latitudes with CALIPSO products”, Geophys. Res. Lett., 47, e2020GL088030, https://doi.org/10.1029/2020GL088030.
     
  117. Khanal, S., Z. Wang and J. R. French, 2020: “Improving middle and high latitude cloud liquid water path measurements from MODIS”, Atmos. Res., 243, 105033, https://doi.org/10.1016/j.atmosres.2020.105033.
     
  118. Khaykin, S., B. Legras, S. Bucci, P. Sellitto, L. Isaksen, F. Tencé, S. Bekki, A. Bourassa, L. Rieger, D. Zawada, J. Jumelet and S. Godin-Beekmann, 2020: “The 2019/20 Australian wildfires generated a persistent smoke-charged vortex rising up to 35 km altitude”, Commun. Earth Environ., 1, 22, https://doi.org/10.1038/s43247-020-00022-5.
     
  119. Kim, D., M.-S. Park, Y.-J. Park and W. Kim, 2020: “Geostationary Ocean Color Imager (GOCI) Marine Fog Detection in Combination with Himawari-8 Based on the Decision Tree”, Remote Sens., 12, 149, https://doi.org/10.3390/rs12010149.
     
  120. Kim, H., 2020: “Retrieval of ice cloud temperatures using spectral cloud emissivity and its uncertainty”, Ph.D. Thesis, Department of Atmospheric Sciences, Ewha Womans University, 97 pp. [see https://dspace.ewha.ac.kr/handle/2015.oak/252907].
     
  121. Kim, M.-H., S.-W. Kim and A. H. Omar, 2020: “Dust Lidar Ratios Retrieved from the CALIOP Measurements Using the MODIS AOD as a Constraint”, Remote Sens., 12, 251, https://doi.org/10.3390/rs12020251.
     
  122. Klekociuk, A. R., D. J. Ottaway, A. D. MacKinnon, I. M. Reid, L. V. Twigger and S. P. Alexander, 2020: “Australian Lidar Measurements of Aerosol Layers Associated with the 2015 Calbuco Eruption”, Atmosphere, 11, 124, https://doi.org/10.3390/atmos11020124.
     
  123. Kloss, C., P. Sellitto, B. Legras, J.‐P. Vernier, F. Jégou, M. V. Ratnam, B. S. Kumar, B. L. Madhavan and G. Berthet, 2020: “Impact of the 2018 Ambae eruption on the global stratospheric aerosol layer and climate”, J. Geophys. Res. Atmos., 125, e2020JD032410, https://doi.org/10.1029/2020JD032410.
     
  124. Kokhanovsky, A., C. Tomasi, A. Smirnov, A. Herber, R. Neuber, A. Ehrlich, A. Lupi, B. H. Petkov, M. Mazzola, C. Ritter, C. Toledano, T. Carlund, V. Vitale, B. Holben, T. Zielinski, S. Bélanger, P. Larouche, S. Kinne, V. Radionov, M. Wendisch, J. L. Tackett, D. M. Winker, 2020: “Remote Sensing of Arctic Atmospheric Aerosol”, in Physics and Chemistry of the Arctic Atmosphere, A. Kokhanovsky and C. Tomasi, Eds., Springer Polar Sciences, https://doi.org/10.1007/978-3-030-33566-3_9.
     
  125. Kotarba, A. Z., 2020: “Calibration of global MODIS cloud amount using CALIOP cloud profiles”, Atmos. Meas. Tech., 13, 4995-5012, https://doi.org/10.5194/amt-13-4995-2020.
     
  126. Kovilakam, M., L. Thomason, N. Ernest, L. Rieger, A. Bourassa and L. Millán, 2020: “A Global Space-based Stratospheric Aerosol Climatology (Version 2.0): 1979-2018”, Earth Syst. Sci. Data, 12, 2607-2634, https://doi.org/10.5194/essd-12-2607-2020.
     
  127. Krämer, M., C. Rolf, N. Spelten, A. Afchine, D. Fahey, E. Jensen, S. Khaykin, T. Kuhn, P. Lawson, A. Lykov, L. L. Pan, M. Riese, A. Rollins, F. Stroh, T. Thornberry, V. Wolf, S. Woods, P. Spichtinger, J. Quaas and O. Sourdeval, 2020: “A Microphysics Guide to Cirrus - Part II: Climatologies of Clouds and Humidity from Observations”, Atmos. Chem. Phys., 20, 12569-12608, https://doi.org/10.5194/acp-20-12569-2020.
     
  128. Kubar, T. L., F. Xie, C. O. Ao and L. Adhikari, 2020: “An Assessment of PBL Heights and Low Cloud Profiles in CAM5 and CAM5‐CLUBB over the Southeast Pacific Using Satellite Observations”, Geophys. Res. Lett., 47, e2019GL084498, https://doi.org/10.1029/2019GL084498.
     
  129. Kulkarni, P. and V. Sreekanth, 2020: “Spaceborne Lidar Retrieved Composite and Speciated Aerosol Extinction Profiles and Optical Depths Over India: A Decade of Observations”, Atmos. Pollut. Res., 11, 946-962, https://doi.org/10.1016/j.apr.2020.02.007.
     
  130. Kumar, A. K. Suresh and W. Rahman, 2020: “Geochemical characterization of modern aeolian dust over the Northeastern Arabian Sea: Implication for dust transport in the Arabian Sea”, Sci. Total Environ., 729, 138576, https://doi.org/10.1016/j.scitotenv.2020.138576.
     
  131. Kumar, N. M., K. Venkatramanan, A. Kumar, M. Nair and S. S. Kumar, 2020: “On the characterization of descending nature of cirrus clouds over a tropical site, Gadanki”, International Journal of Remote Sensing, 41, 6550-6569, https://doi.org/10.1080/01431161.2020.1742942.
     
  132. Kumari, S., A. Lakhani and K. M. Kumari, 2020: “Transport of aerosols and trace gases during dust and crop-residue burning events in Indo-Gangetic Plain: Influence on surface ozone levels over downwind region”, Atmos. Environ., 241, 117829, https://doi.org/10.1016/j.atmosenv.2020.117829.
     
  133. Lacour, L., R. Larouche and M. Babin, 2020: “In situ evaluation of spaceborne CALIOP lidar measurements of the upper-ocean particle backscattering coefficient”, Opt. Express, 28, 26989-26999, https://doi.org/10.1364/OE.397126.
     
  134. Lavanya, S. and M. Viswanadham, 2020: “Dust Storm and Their Impact over the Arabian Sea - a case study”, IJRAR, 7, 888-895 [see http://www.ijrar.org/IJRAR2001398.pdf].
     
  135. Ledari, D. G., M. Hamidi and Y. Shao, 2020: “Evaluation of the 13 April 2011 frontal dust storm in west Asia”, Aeolian Res., 44, 100592, https://doi.org/10.1016/j.aeolia.2020.100592.
     
  136. Lee, D., L. Oreopoulos and N. Cho, 2020: “An evaluation of clouds and radiation in a Large-Scale Atmospheric Model using a Cloud Vertical Structure classification”, Geosci. Model Dev., 13, 673-684, https://doi.org/10.5194/gmd-13-673-2020.
     
  137. Lee, H.-H. and C. Wang, 2020: “The impacts of biomass burning activities on convective systems over the Maritime Continent”, Atmos. Chem. Phys., 20, 2533-2548, https://doi.org/10.5194/acp-20-2533-2020.
     
  138. Lee, J., D.-B. Shin, C.-Y. Chung and J. Kim, 2020: “A Cloud Top-Height Retrieval Algorithm Using Simultaneous Observations from the Himawari-8 and FY-2E Satellites”, Remote Sens., 12, 1953, https://doi.org/10.3390/rs12121953.
     
  139. Lenaerts, J. T. M., A. Gettelman, K. Van Tricht, L. van Kampenhout and N. B. Miller, 2020: “Impact of Cloud Physics on the Greenland Ice Sheet Near‐Surface Climate: A Study With the Community Atmosphere Model”, J. Geophys. Res. Atmos., 125, e2019JD031470, https://doi.org/10.1029/2019JD031470.
     
  140. Léon, J.-F., N. Martiny and S. Merlet, 2020: “A Multi Linear Regression Model to Derive Dust PM10 in the Sahel Using AERONET Aerosol Optical Depth and CALIOP Aerosol Layer Products”, Remote Sens., 12, 3099, https://doi.org/10.3390/rs12183099.
     
  141. Lewis, J. R., J. R. Campbell, S. Lolli, S. A. Stewart, I. Tan and E. J. Welton, 2020: “Determining Cloud Thermodynamic Phase from the Polarized Micro Pulse Lidar”, Atmos. Meas. Tech., 13, 6901-6913, https://doi.org/10.5194/amt-13-6901-2020.
     
  142. Li, C., J. Li, O. Dubovik, Z.-C. Zeng and Y. L. Yung, 2020: “Impact of Aerosol Vertical Distribution on Aerosol Optical Depth Retrieval from Passive Satellite Sensors”, Remote Sens., 12, 1524, https://doi.org/10.3390/rs12091524.
     
  143. Li, D., B. Vogel, R. Müller, J. Bian, G. Günther, F. Ploeger, Q. Li, J. Zhang, Z. Bai, H. Vömel and M. Riese, 2020: “Dehydration and low ozone in the tropopause layer over the Asian monsoon caused by tropical cyclones: Lagrangian transport calculations using ERA-Interim and ERA5 reanalysis data”, Atmos. Chem. Phys., 20, 4133-4152, https://doi.org/10.5194/acp-20-4133-2020.
     
  144. Li, L., K. Wang, W. Chen, Q. Zhao, L. Liu, W. Liu, Y. Liu, J. Jiang, J. Liu and M. Zhang, 2020: “Atmospheric pollution of agriculture-oriented cities in Northeast China: A case in Suihua”, J. Environ. Sci., 97, 85-95, https://doi.org/10.1016/j.jes.2020.04.038.
     
  145. Li, J. and H. W. Barker, 2020: “Perturbation Solution for Four-Stream Infrared Radiative Transfer”, J. Atmos. Sci., 77, 1497-1507, https://doi.org/10.1175/JAS-D-19-0179.1.
     
  146. Li, J.‐L. F., K.‐M. Xu, J. H. Jiang, W.‐L. Lee, L.‐C. Wang, J.‐Y. Yu, G. Stephens, E. Fetzer and Y.‐H. Wang, 2020: “An Overview of CMIP5 and CMIP6 Simulated Cloud Ice, Radiation Fields, Surface Wind Stress, Sea Surface Temperatures and Precipitation over Tropical and Subtropical Oceans”, J. Geophys. Res. Atmos., 125, e2020JD032848, https://doi.org/10.1029/2020JD032848.
     
  147. Li, S., Q. Zeng and L. Wu, 2020: “Analysis of physical characteristics of ice clouds in Nanjing based on CloudSat/CALIPSO satellites”, Medium and Low Latitude Mountain Meteorology, 1, 15-21 [see http://www.cqvip.com/qk/96870a/202001/7101057195.html].
     
  148. Li, X., S. K. Krueger, C. Strong, G. G. Mace and S. Benson, 2020: “Midwinter Arctic leads form and dissipate low clouds”, Nat. Commun., 11, 206, https://doi.org/10.1038/s41467-019-14074-5.
     
  149. Li, X., S. K. Krueger, C. Strong and G. G. Mace, 2020: “Relationship between wintertime leads and low clouds in the pan‐Arctic”, J. Geophys. Res. Atmos., 125, e2020JD032595. https://doi.org/10.1029/2020JD032595.
     
  150. Li, Y., B. A. Baum, A. K. Heidinger, W. P. Menzel and E. Weisz, 2020: “Improvement in cloud retrievals from VIIRS through the use of infrared absorption channels constructed from VIIRS+CrIS data fusion”, Atmos. Meas. Tech., 13, 4035-4049, https://doi.org/10.5194/amt-13-4035-2020.
     
  151. .
  152. Li, Z. and K.-M. Xu, 2020: “Arctic Clouds Simulated by a Multiscale Modeling Framework and Comparisons with Observations and Conventional GCMs”, J. Geophys. Res. Atmos., 125, e2019JD030522, https://doi.org/10.1029/2019JD030522.
     
  153. 112. Listowski, C., M. Rojo, C. Claud, J. Delanoë, J.-F. Rysman, Q. Cazenave and G. Noer, 2020: “New Insights into the Vertical Structure of Clouds in Polar Lows, using Radar-Lidar Satellite Observations”, Geophys. Res. Lett., 47, e2020GL088785, https://doi.org/10.1029/2020GL088785.
     
  154. Liu, C.‐Y., C.‐H. Chiu, P.‐H. Lin and M. Min, 2020: “Comparison of Cloud‐Top Property Retrievals from Advanced Himawari Imager, MODIS, CloudSat/CPR, CALIPSO/CALIOP, and radiosonde”, J. Geophys. Res. Atmos., 125, e2020JD032683, https://doi.org/10.1029/2020JD032683.
     
  155. Liu, Q., X. Liu, T. Liu, Y. Kang, Y. Chen, J. Li, H. Zhang, 2020: “Seasonal variation in particle contribution and aerosol types in Shanghai based on satellite data from MODIS and CALIOP”, Particuology, 51, 18-25, https://doi.org/10.1016/j.partic.2019.10.001.
     
  156. Lu, X., Y. Hu, M. Vaughan, S. Rodier, C. Trepte, P. Lucker and A. Omar, 2020: “New attenuated backscatter profile by removing the CALIOP receiver’s transient response”, JQSRT, 255, 107244, https://doi.org/10.1016/j.jqsrt.2020.107244.
     
  157. Lu, X., F. Mao, Z. Pan, W. Gong, Y. Zhu and J. Yang, 2020: “Enhancement of Atmospheric Stability by Anomalous Elevated Aerosols during Winter in China”, J. Geophys. Res. Atmos., 125, e2019JD031734, https://doi.org/10.1029/2019JD031734.
     
  158. Luo, C., W. Wang, L. Sheng, Y. Zhou, Z. Hu, W. Qu, X. Li and S. Hai, 2020: “Influence of polluted dust on chlorophyll-a concentration and particulate organic carbon in the subarctic North Pacific Ocean based on satellite observation and the WRF-Chem simulation”, Atmos. Res., 236, 104812, https://doi.org/10.1016/j.atmosres.2019.104812.
     
  159. Lyapustin, A., Y. Wang, S. Korkin, R. Kahn and D. Winker, 2020: “MAIAC Thermal Technique for Smoke Injection Height From MODIS”, IEEE Geosci. Remote Sens. Lett., 17, 730-734, https://doi.org/10.1109/LGRS.2019.2936332.
     
  160. Ma, X., Z. Huang, S. Qi, J. Huang, S. Zhang, Q. Dong and X. Wang, 2020: “Ten-year global particulate mass concentration derived from space-borne CALIPSO lidar observations”, Sci. Total Environ., 721, 137699, https://doi.org/10.1016/j.scitotenv.2020.137699.
     
  161. Mace, G. G., S. Benson and Y. Hu, 2020: “On The Frequency of Occurrence of the Ice Phase in Supercooled Southern Ocean Low Clouds Derived from CALIPSO and CloudSat”, Geophys. Res. Lett., 47, e2020GL087554, https://doi.org/10.1029/2020GL087554.
     
  162. Madeleine, J.-B., F. Hourdin, J.-Y. Grandpeix, C. Rio, J.-L. Dufresne, E. Vignon, O. Boucher, D. Konsta, F. Cheruy, I. Musat, A. Idelkadi, L. Fairhead, E. Millour, M.-P. Lefebvre, L. Mellul, N. Rochetin, F. Lemonnier, L. Touzé-Peiffer and M. Bonazzola, 2020: “Improved representation of clouds in the atmospheric component LMDZ6A of the IPSL Earth system model IPSL-CM6A”, JAMES, 12, e2020MS002046, https://doi.org/10.1029/2020MS002046.
     
  163. Mallet, M., F. Solmon, P. Nabat, N. Elguindi, F. Waquet, D. Bouniol, A. M. Sayer, K. Meyer, R. Roehrig, M. Michou, P. Zuidema, C. Flamant, J. Redemann and P. Formenti, 2020: “Direct and semi-direct radiative forcing of biomass-burning aerosols over the southeast Atlantic (SEA) and its sensitivity to absorbing properties: a regional climate modeling study”, Atmos. Chem. Phys., 20, 13191-13216, https://doi.org/10.5194/acp-20-13191-2020.
     
  164. Mantsis, D. F., S, Sherwood, V. Dixit, H. Morrison and G. Thompson, 2020: “Mid-level clouds over the Sahara in a convection-permitting regional model”, Clim. Dynam., 54, 3425-3439, https://doi.org/10.1007/s00382-020-05188-4.
     
  165. Marais, W. J., R. E. Holz, J. S. Reid, and R. M. Willett, 2020: “Leveraging spatial textures, through machine learning, to identify aerosol and distinct cloud types from multispectral observations”, Atmos. Meas. Tech., 13, 5459-5480, https://doi.org/10.5194/amt-13-5459-2020.
     
  166. Marchant, B., S. Platnick, K. Meyer and G. Wind, 2020: “Evaluation of the MODIS Collection 6 multilayer cloud detection algorithm through comparisons with CloudSat Cloud Profiling Radar and CALIPSO CALIOP products”, Atmos. Meas. Tech., 13, 3263-3275, https://doi.org/10.5194/amt-13-3263-2020.
     
  167. Masunaga, H. and B. E. Mapes, 2020: “A Mechanism for the Maintenance of Sharp Tropical Margins”, J. Atmos. Sci., 77, 1181-1197, https://doi.org/10.1175/JAS-D-19-0154.1.
     
  168. McCandless, T. and P. A. Jiménez, 2020: “Examining the Potential of a Random Forest Derived Cloud Mask from GOES-R Satellites to Improve Solar Irradiance Forecasting”, Energies, 13, 1671, https://doi.org/10.3390/en13071671.
     
  169. McErlich, C., 2020: “Comparing satellite and ground based observations of cloud over the Southern Ocean”, M.S. Thesis, School of Physical and Chemical Sciences, University of Canterbury, Christchurch, New Zealand, 126 pp. [see https://hdl.handle.net/10092/100746].
     
  170. McIlhattan, E. A., J. E. Kay and T. S. L’Ecuyer, 2020: “Arctic Clouds and Precipitation in the Community Earth System Model Version 2”, J. Geophys. Res. Atmos., 125, e2020JD032521, https://doi.org/10.1029/2020JD032521.
     
  171. McIlhattan, E. A., C. Pettersen, N. B. Wood, and T. S. L’Ecuyer, 2020: “Satellite observations of snowfall regimes over the Greenland Ice Sheet”, The Cryosphere, 14, 4379-4404, https://doi.org/10.5194/tc-14-4379-2020.
     
  172. Mehta, M., R. Khushboo, R. Raj and N. Singh, 2020: “Spaceborne observations of aerosol vertical distribution over Indian mainland (2009-2018)”, Atmos. Environ., 244, 117902, https://doi.org/10.1016/j.atmosenv.2020.117902.
     
  173. Mei, L., S. Vandenbussche, V. Rozanov, E. Proestakis, V. Amiridis, S. Callewaert, M. Vountas and J. P. Burrows, 2020: “On the retrieval of aerosol optical depth over cryosphere using passive remote sensing”, Remote Sens. Environ., 241, 111731, https://doi.org/10.1016/j.rse.2020.111731.
     
  174. Mhawish, A., K. S. Vinjamuri, N. Singh, M. Kumar and T. Banerjee, 2020: “Vertical Profiling of Aerosol and Aerosol Types Using Space-Borne Lidar” in Measurement, Analysis and Remediation of Environmental Pollutants, T. Gupta, S. Singh, P. Rajput and A. Agarwal, Eds., pp. 165-177, https://doi.org/10.1007/978-981-15-0540-9_8.
     
  175. Miatselskaya, N. S., A. L. Bril, A. P. Chaikovsky, A. S. Fedarenka and G. P. Milinevsky, 2020: “Integrated satellite and groundbased regional monitoring of atmospheric aerosol by lidar and radiometric systems using data assimilation”, Space Sci. & Technol., 26, 59-71, https://doi.org/10.15407/knit2020.01.059 (in Russian).
     
  176. Min, M., J. Li, F. Wang, Z. Liu, W. P. Menzel, 2020: “Retrieval of cloud top properties from advanced geostationary satellite imager measurements based on machine learning algorithms”, Remote Sens. Environ., 239, 111616, https://doi.org/10.1016/j.rse.2019.111616.
     
  177. Mingari, L., A. Folch, L. Dominguez and C. Bonadonna, 2020: “Volcanic Ash Resuspension in Patagonia: Numerical Simulations and Observations”, Atmosphere, 11, 977, https://doi.org/10.3390/atmos11090977.
     
  178. Murakami, Y., 2020: “On the relation between satellite observed liquid water path, cloud droplet number concentration and cloud base rain rate and its implication for the auto-conversion rate in stratocumulus clouds”, M.S. Thesis, Department of Atmospheric Sciences, Colorado State University, 44 pp. [see https://hdl.handle.net/10217/208459].
     
  179. Muser, L. O., G. A. Hoshyaripour, J. Bruckert, A. Horvath, E. Malinina, S. Peglow, F. J. Prata, A. Rozanov, C. von Savigny, H. Vogel and B. Vogel, 2020: “Particle Aging and Aerosol-Radiation Interaction Affect Volcanic Plume Dispersion: Evidence from Raikoke Eruption 2019”, Atmos. Chem. Phys., 20, 15015-15036, https://doi.org/10.5194/acp-20-15015-2020.
     
  180. Nabat, P., S. Somot, C. Cassou, M. Mallet, M. Michou, D. Bouniol, B. Decharme, T. Drugé, R. Roehrig and D. Saint-Martin, 2020: “Modulation of radiative aerosols effects by atmospheric circulation over the Euro-Mediterranean region”, Atmos. Chem. Phys., 20, 8315-8349, https://doi.org/10.5194/acp-20-8315-2020.
     
  181. Nair, M. M., H. Bherwani, S. Kumar, S. Gulia, S. K. Goyal and R. Kumar, 2020: “Assessment of contribution of agricultural residue burning on air quality of Delhi using remote sensing and modelling tools”, Atmos. Environ., 230, 117504, https://doi.org/10.1016/j.atmosenv.2020.117504.
     
  182. Nakajima, H., I. Murata, Y. Nagahama, H. Akiyoshi, K. Saeki, T. Kinase, M. Takeda, Y. Tomikawa and N. B. Jones, 2020: “Chlorine partitioning near the polar vortex edge observed with ground-based FTIR and satellites at Syowa Station, Antarctica, in 2007 and 2011”, Atmos. Chem. Phys., 20, 1043-1074, https://doi.org/10.5194/acp-20-1043-2020.
     
  183. Nanda, S., M. de Graaf, J. P. Veefkind, M. Sneep, M. ter Linden, J. Sun, and P. F. Levelt, 2019: “A first comparison of TROPOMI aerosol layer height (ALH) to CALIOP data”, Atmos. Meas. Tech., 13, 3043-3059, https://doi.org/10.5194/amt-13-3043-2020.
     
  184. Nguyen, L. S. P., H.-Y. Huang, T. L. Lei, T. T. Bui, S.-H. Wang, K. H. Chi, G.-R. Sheu, C.-T. Lee, C.-F. Ou-Yang and N.-H. Lin, 2020: “Characterizing a landmark biomass-burning event and its implication for aging processes during long-range transport”, Atmos. Environ., 241, 117766, https://doi.org/10.1016/j.atmosenv.2020.117766.
     
  185. Ningombam, S. S., U. C. Dumka, A. K. Srivastava and H.-J. Song, 2020: “Optical and physical properties of aerosols during active fire events occurring in the Indo-Gangetic Plains: Implications for aerosol radiative forcing”, Atmos. Environ., 223, 117225, https://doi.org/10.1016/j.atmosenv.2019.117225.
     
  186. Niu, H., S. Kang, H. Wang, J. Du, T. Pu, G. Zhang, X. Lu, X. Yan, S. Wang and X. Shi, 2020: “Light-absorbing impurities accelerating glacial melting in southeastern Tibetan Plateau”, Environ. Pollut., 257, 113541, https://doi.org/10.1016/j.envpol.2019.113541.
     
  187. Niu, H., S. Kang, Y. Wang, S. Chandan, D. Rupakheti and Y. Qian, 2020: “Measurements of light-absorbing impurities in snow over four glaciers on the Tibetan Plateau”, Atmos. Res., 243, 105002, https://doi.org/10.1016/j.atmosres.2020.105002.
     
  188. Niu, Z. and X. Zou, 2020: “A potential application of height-dependent cloud emission and scattering indices for identifying CrIS clear channels above clouds”, Tellus A, 72, 1-21, https://doi.org/10.1080/16000870.2019.1696141.
     
  189. Oh, H.-R., C.-H. Ho, Y.-S. Koo, K.-G. Baek, H.-Y. Yun, S.-K. Hur, D.-R. Choi, J.-G. Jhun and J.-S. Shim, 2020: “Impact of Chinese air pollutants on a record-breaking PMs episode in South Korea for 11-15 January 2019”, Atmos. Environ., 223, 117262, https://doi.org/10.1016/j.atmosenv.2020.117262.
     
  190. Ohneiser, K., A. Ansmann, H. Baars, P. Seifert, B. Barja, C. Jimenez, M. Radenz, A. Teisseire, A. Floutsi, M. Haarig, A. Foth, A. Chudnovsky, R. Engelmann, F. Zamorano, J. Bühl and U. Wandinger, 2020: “Smoke of extreme Australian bushfires observed in the stratosphere over Punta Arenas, Chile, in January 2020: optical thickness, lidar ratios, and depolarization ratios at 355 and 532 nm”, Atmos. Chem. Phys., 20, 8003-8015, https://doi.org/10.5194/acp-20-8003-2020.
     
  191. Okamoto, H., K. Sato, A. Borovoi, H. Ishimoto, K. Masuda, A. Konoshonkin and N. Kustova, 2020: “Wavelength dependence of ice cloud backscatter properties for space-borne polarization lidar applications”, Opt. Express, 28, 29178-29191, https://doi.org/10.1364/OE.400510.
     
  192. Oozeer, Y., A. Chan, J. Wang, J. S. Reid, S. V. Salinas, M. C. G. Ooi and K. I. Morris, 2020: “The Uncharacteristic Occurrence of the June 2013 Biomass-Burning Haze Event in Southeast Asia: Effects of the Madden-Julian Oscillation and Tropical Cyclone Activity”, Atmosphere, 11, 55, https://doi.org/10.3390/atmos11010055.
     
  193. Painemal, D., F.-L. Chang, R. Ferrare, S. Burton, Z. Li, W. L. Smith Jr., P. Minnis, Y. Feng, and M. Clayton, 2019: “Reducing uncertainties in satellite estimates of aerosol-cloud interactions over the subtropical ocean by integrating vertically resolved aerosol observations”, Atmos. Chem. Phys., 20, 7167-7177, https://doi.org/10.5194/acp-20-7167-2020.
     
  194. Pan, F., S. Kato, F. G. Rose, A. Radkevich, X. Liu and X. Huang, 2020: “An algorithm to derive temperature and humidity profile changes using spatially and temporally averaged spectral radiance differences”, J. Atmos. Oceanic Technol., 37, 1173-1187, https://doi.org/10.1175/JTECH-D-19-0143.1.
     
  195. Pan, H., W. Huo, M. Wang, J. Zhang, L. Meng, K. R. Kumar and N. S. M. P. L. Devi, 2020: “Insight into the climatology of different sand-dust aerosol types over the Taklimakan Desert based on the observations from radiosonde and A-train satellites”, Atmos. Environ., 238, 117705, https://doi.org/10.1016/j.atmosenv.2020.117705.
     
  196. Pan, H., M. Wang, K. R. Kumar, J. Zhang and L. Meng, 2020: “A Decadal Global Climatology of Ice Cloud Fraction with Their Microphysical and Optical Properties Inferred from the CALIPSO and Reanalysis Data”, Remote Sens., 12, 3795, https://doi.org/10.3390/rs12223795.
     
  197. Pan, Z., F Mao, X. Lu, W. Gong, H. Shen and Q. Mao, 2020: “Enhancement of vertical cloud-induced radiative heating in East Asian monsoon circulation derived from CloudSat-CALIPSO observations”, Int. J. Remote Sens., 41, 595-614, https://doi.org/10.1080/01431161.2019.1646935.
     
  198. Panahifar, H., R. Moradhaseli and H. R. Khalesifard, 2020: “Monitoring atmospheric particulate matters using vertically resolved measurements of a polarization lidar, in-situ recordings and satellite data over Tehran, Iran”, Sci. Rep., 20052, https://doi.org/10.1038/s41598-020-76947-w.
     
  199. Pandey, C. P., J. Singh, V. K. Soni and N. Singh, 2020: “Yearlong first measurements of black carbon in the western Indian Himalaya: Influences of meteorology and fire emissions”, Atmos. Pollut. Res., 11, 1199-1210, https://doi.org/10.1016/j.apr.2020.04.015.
     
  200. Papanikolaou, C.-A., E. Giannakaki, A. Papayannis, M. Mylonaki and O. Soupiona, 2020: “Canadian Biomass Burning Aerosol Properties Modification during a Long-Ranged Event on August 2018”, Sensors, 20, 5442, https://doi.org/10.3390/s20185442.
     
  201. Papavasileiou, G., A. Voigt and P. Knippertz, 2020: “The role of observed cloud‐radiative anomalies for the dynamics of the North Atlantic Oscillation on synoptic time-scales”, Q. J. Roy. Meteorol. Soc., 146, 1822-1841, https://doi.org/10.1002/qj.3768.
     
  202. Papkova, A. S., S. O. Papkov and D. M. Shukalo, 2020: “CALIPSO stratification of atmospheric aerosols with environmental assessment of dust content over the Black Sea region”, Current Problems in Remote Sensing of the Earth from Space, 17, 234-242, https://doi.org/10.21046/2070-7401-2020-17-1-234-242 (in Russian).
     
  203. Parajuli, S. P., G. L. Stenchikov, A. Ukhov, I. Shevchenko, O. Dubovik and A. Lopatin, 2020: “Aerosol vertical distribution and interactions with land/sea breezes over the eastern coast of the Red Sea from lidar data and high-resolution WRF-Chem simulations”, Atmos. Chem. Phys., 20, 16089-16116, https://doi.org/10.5194/acp-20-16089-2020.
     
  204. Patel, M., 2020: “Relationship of Dust Aerosols and Tropical Cyclogenesis over the Eastern Atlantic Ocean Basin”, M.S. Thesis, Department of Meteorology, San José State University [see https://scholarworks.sjsu.edu/etd_theses/5158].
     
  205. Peterson, C. A., Q. Yue, B. H. Kahn, E. Fetzer and X. Huang, 2020: “Evaluation of AIRS Cloud Phase Classification over the Arctic Ocean Against Combined CloudSat-CALIPSO Observations”, J. Appl. Meteor. Climatol., 59, 1277-1294, https://doi.org/10.1175/JAMC-D-20-0016.1.
     
  206. Petzold, A., P. Neis, M. Rütimann, S. Rohs, F. Berkes, H. G. J. Smit, M. Krämer, N. Spelten, P. Spichtinger, P. Nedelec, and A. Wahner, 2020: “Ice-supersaturated air masses in the northern mid-latitudes from regular in-situ observations by passenger aircraft: vertical distribution, seasonality and tropospheric fingerprint”, Atmos. Chem. Phys., 20, 8157-8179, https://doi.org/10.5194/acp-20-8157-2020.
     
  207. Philipp, D., M. Stengel and B. Ahrens, 2020: ““Analyzing the Arctic Feedback Mechanism between Sea Ice and Low-Level Clouds using 34 Years of Satellite Observations”, J. Climate, 33, 7479-7501, https://doi.org/10.1175/JCLI-D-19-0895.1.
     
  208. Pokharel, A. K., T. Xu, X. Liu and B Dawadi, 2020: “Dynamics of Muddy Rain of 15 June 2018 in Nepal”, Atmosphere, 11, 529, https://doi.org/10.3390/atmos11050529.
     
  209. Poulsen, C., U. Egede, D. Robbins, B. Sandeford, K. Tazi and T. Zhu, 2020: “Evaluation and comparison of a machine learning cloud identification algorithm for the SLSTR in polar regions”, Remote Sens. Environ., 248, 111999, https://doi.org/10.1016/j.rse.2020.111999.
     
  210. Poulsen, C. A., G. R. Mcgarragh, G. E. Thomas, M. Stengel, M. W. Christiensen, A. C. Povey, S. R. Proud, E. Carboni, R. Hollmann, and R. G. Grainger, 2019: “Cloud_cci ATSR-2 and AATSR dataset version 3: a 17-year climatology of global cloud and radiation properties”, Earth Syst. Sci. Data, 12, 2121-2135, https://doi.org/10.5194/essd-12-2121-2020.
     
  211. Prabhu, V., A. Soni, S. Madhwal, A. Gupta, S. Sundriyal, V. Shridhar, V. Sreekanth and P. S. Mahapatra, 2020: “Black carbon and biomass burning associated high pollution episodes observed at Doon valley in the foothills of the Himalayas”, Atmos. Res., 243, 105001, https://doi.org/10.1016/j.atmosres.2020.105001.
     
  212. Prospero, J. M., A. E. Barkley, C. J. Gaston, A. Gatineau, A. Campos y Sansano, and K. Panechou, 2020: “Characterizing and quantifying African dust transport and deposition to South America: Implications for the phosphorus budget in the Amazon Basin”, Global Biogeochem. Cy., 34, e2020GB006536, https://doi.org/10.1029/2020GB006536.
     
  213. Pu, B., P. Ginoux, H. Guo, N. C. Hsu, J. Kimball, B. Marticorena, S. Malyshev, V. Naik, N. T. O’Neill, C. P. García-Pando, J. M. Prospero, E. Shevliakova and M. Zhao, 2020: “Retrieving the global distribution of the threshold of wind erosion from satellite data and implementing it into the Geophysical Fluid Dynamics Laboratory land-atmosphere model (GFDL AM4.0/LM4.0)”, Atmos. Chem. Phys., 20, 55-81, https://doi.org/10.5194/acp-20-55-2020.
     
  214. Rajapakshe, C. P. N., 2020: “Interactions of Radiation with Aerosols and Clouds in a Three-Dimensional Atmosphere: Implications for Aerosol and Cloud Remote Sensing”, Ph.D. Thesis, Department of Physics, University of Maryland, Baltimore County [see http://search.proquest.com/openview/a381d55c65355d249048d02db3b4b2ea/1%3Fpq-origsite%3Dgscholar].
     
  215. Ram, K., H. Bhattarai and Z. Cong, 2020: “Chapter Two - Chemical components and distributions of aerosols in the Third Pole” in Water Quality in the Third Pole, C. M. Sharma, S. Kang and L. Tripathee, Eds., pp. 43-67, Elsevier, https://doi.org/10.1016/B978-0-12-816489-1.00002-5.
     
  216. Ranjbar, K., 2020: “Identification and characterization of natural aerosols over the Arctic”, Ph.D. Thesis, Department of Applied Geomatics, University of Sherbrooke, 64 pp. [available at http://hdl.handle.net/11143/17268].
     
  217. Rajaee, T., N. Rohani, E. Jabbari and B. Mojaradi, 2020: “Tracing and assessment of simultaneous dust storms in the cities of Ahvaz and Kermanshah in western Iran based on the new approach”, Arab. J. Geosci., 13, 461, https://doi.org/10.1007/s12517-020-05443-2.
     
  218. Ricaud, P., M. Del Guasta, E. Bazile, N. Azouz, A. Lupi, P. Durand, J.-L. Attié, D. Veron, V. Guidard and P. Grigioni, 2020: “Supercooled Liquid Water Clouds observed and analysed at the Top of the Planetary Boundary Layer above Dome C, Antarctica”, Atmos. Chem. Phys., 20, 4167-4191, https://doi.org/10.5194/acp-20-4167-2020.
     
  219. Richardson, M., M. D. Lebsock, J. McDuffie and G. L. Stephens, 2020: “A new OCO-2 cloud flagging and rapid retrieval of marine boundary layer cloud properties”, Atmos. Meas. Tech., 13, 4947-4961, https://doi.org/10.5194/amt-13-4947-2020.
     
  220. Rivoire, L., 2020: “Origins and impacts of tropopause layer cooling in tropical cyclones” Ph.D. Thesis, Department of Atmospheric Sciences, Colorado State University, 121 pp. [see https://hdl.handle.net/10217/208553].
     
  221. Rivoire, L., T. Birner, J. A. Knaff and N. Tourville, 2020: “Quantifying the radiative impact of clouds on tropopause layer cooling in tropical cyclones”, J. Climate, 33, 6361-6376, https://doi.org/10.1175/JCLI-D-19-0813.1.
     
  222. Robson, J., Y. Aksenov, T. J. Bracegirdle, O. Dimdore-Miles, P. T. Griffiths, D. P. Grosvenor, D. L. R. Hodson, J. Keeble, C. MacIntosh, A. Megann, S. Osprey, A. C. Povey, D. Schröder, M. Yang, A. T. Archibald, K. S. Carslaw, L. Gray, C. Jones, B. Kerridge, D. Knappett, T. Kuhlbrodt, M. Russo, A. Sellar, R. Siddans, B. Sinha, R. Sutton, J. Walton and L. J. Wilcox, 2020: “The evaluation of the North Atlantic climate system in UKESM1 historical simulations for CMIP6”, JAMES, 12, e2020MS002126, https://doi.org/10.1029/2020MS002126.
     
  223. Roh, W., M. Satoh, T. Hashino, H. Okamoto and T. Seiki, 2020: “Evaluations of the thermodynamic phases of clouds in a cloud system-resolving model using CALIPSO and a satellite simulator over the Southern Ocean”, J. Atmos. Sci., 77, 3781-3801, https://doi.org/10.1175/JAS-D-19-0273.1.
     
  224. Roy, K., P. Mukhopadhyay, R. P. M. Krishna, M. Ganai, M. Mahakur, T. N. Rao, A. K. M. Nair and S. S. V. S. Ramakrishna, 2020: “Assessment of climate models in relation to the low‐level clouds over the Southern Indian Ocean”, Q. J. Roy. Meteorol. Soc., 146, 3306-3325, https://doi.org/10.1002/qj.3847.
     
  225. Roy, K., P. Mukhopadhyay, R. P. M. Krishna, M. Ganai, M. Mahakur, T. N. Rao, A. K. M. Nair and S. S. V. S. Ramakrishna, 2020: “Sensitivity of climate models in relation to the ‘pool of inhibited cloudiness’ over South of the Bay of Bengal”, Int. J. Climatol., 40, 3714-3730, https://doi.org/10.1002/joc.6423.
     
  226. Rupakheti, D., S. Kang and M. Rupakheti, 2020: “Two heavy haze events over Lumbini in southern Nepal: Enhanced aerosol radiative forcing and heating rates”, Atmos. Environ., 236, 117658, https://doi.org/10.1016/j.atmosenv.2020.117658.
     
  227. Saint-Lu, M., S. Bony and J.-L. Dufresne, 2020: “Observational Evidence for a Stability Iris Effect in the Tropics”, Geophys. Res. Lett., 47, e2020GL089059, https://doi.org/10.1029/2020GL089059.
     
  228. Sakka, A., E. Gerasopoulos, E. Liakakou, I. Keramitsoglou and N. Zacharias, 2020: “Spatial variability of aerosols over Greek archaeological sites using Space-Borne Remote Sensing”, J. Cult. Herit., 46, 207-217, https://doi.org/10.1016/j.culher.2020.07.001.
     
  229. Sarangi, C., Y. Qian, K. Rittger, L. R. Leung, D. Chand, K. J. Bormann and T. H. Painter, 2020: “Dust dominates high-altitude snow darkening and melt over high-mountain Asia”, Nat. Clim. Change, https://doi.org/10.1038/s41558-020-00909-3.
     
  230. Sato, K. and H. Okamoto, 2020: “Application of Single and Multiple-Scattering Theories to Analyses of Space-Borne Cloud Radar and Lidar Data“, in Springer Series in Light Scattering, A. Kokhanovsky, Ed., 1-37, https://doi.org/10.1007/978-3-030-38696-2_1.
     
  231. Sellitto, P., S. Bucci and B. Legras, 2020: “Comparison of ISS-CATS and CALIPSO-CALIOP Characterization of High Clouds in the Tropics”, Remote Sens., 12, 3946, https://doi.org/10.3390/rs12233946.
     
  232. Senghor, H., É. Machu, L. Durán, G. S. Jenkins and A. T. Gaye, 2020: “Seasonal Behavior of Aerosol Vertical Concentration in Dakar and Role Played by the Sea-Breeze”, Open J. Air Pollut., 9, 11-26, https://doi.org/10.4236/ojap.2020.91002.
     
  233. Shalini, V., K. Narasimhulu, K. R. O. Reddy, G. Balakrishnaiah, K. R. Gopal, T. Lokeswara Reddy, T. C. Rao, B. Elijabetthamma, C. Manjunatha, R. R. Reddy, 2020: “Chemical characterization and source identification of particulate matter at Ballari (15.15°N, 76.93°E), Karnataka over Southern Indian region“, J. Atmos. Sol.-Terr. Phy., 200, 105192, https://doi.org/10.1016/j.jastp.2020.105192.
     
  234. Shang, H., H, Letu, L. Chen, J. Riedi, R. Ma, L. Wei, L. C. Labonnote, S. Hioki, C. Liu, Z. Wang and J. Wang, 2020: “Cloud thermodynamic phase detection using a directional polarimetric camera (DPC)”, JQSRT, 253, 107179, https://doi.org/10.1016/j.jqsrt.2020.107179.
     
  235. Shao, S., Y. Han, F. Qin, M. Xu and Y. Zhao, 2020: “Spatial and temporal properties of a winter dust event in North China”, City and Environment Interactions, 4, 100025, https://doi.org/10.1016/j.cacint.2020.100025.
     
  236. Shi, Y., B. Liu, S. Chen, W. Gong, Y. Ma, M. Zhang, S. Jin and Y. Jin, 2020: “Characteristics of aerosol within the nocturnal residual layer and its effects on surface PM2.5 over China”, Atmos. Environ., 241, 117841, https://doi.org/10.1016/j.atmosenv.2020.117841.
     
  237. Shikwambana, L., P. Mhangara and N. Mbatha, 2020: “Trend analysis and first time observations of sulphur dioxide and nitrogen dioxide in South Africa using TROPOMI/Sentinel-5 P data”, Int. J. Appl. Earth. Obs., 91, 102130, https://doi.org/10.1016/j.jag.2020.102130.
     
  238. Sindhu, K. D. and R. Ratan, 2020: “Cloud fraction biases in CALIPSO simulators of CMIP5 models over India”, Theor. Appl. Climatol., 141, 247-256, https://doi.org/10.1007/s00704-020-03191-7.
     
  239. Singh, N., A. Kumar, Anshumali, J. Singh and D. Nath, 2020: “Observations on the distribution of precipitation over northern India using joint CloudSat, CALIPSO and TRMM measurements”, Remote Sens. Lett., 11, 117-126, https://doi.org/10.1080/2150704X.2019.1692388.
     
  240. Singh, P., P. Sarawade and B. Adhikary, 2020: “Transport of black carbon from planetary boundary layer to free troposphere during the summer monsoon over South Asia”, Atmos. Res., 235, 104761, https://doi.org/10.1016/j.atmosres.2019.104761.
     
  241. Singh, P., P. Sarawade and B. Adhikary, 2020: “Carbonaceous Aerosol from Open Burning and its Impact on Regional Weather in South Asia”, Aerosol Air. Qual. Res., 20, 419-431, https://doi.org/10.4209/aaqr.2019.03.0146.
     
  242. Skjervagen, I. H., 2020: “Combined observational and modeling study of mixed-phase clouds”, M.S. Thesis, Department of Geosciences, University of Oslo, 70 pp. [see http://hdl.handle.net/10852/79577].
     
  243. Smalley, K. M. and A. D. Rapp, 2020: “The role of cloud size and environmental moisture in shallow cumulus precipitation”, J. Appl. Meteor. Climatol., 59, 535-550, https://doi.org/10.1175/JAMC-D-19-0145.1.
     
  244. Sokol, A. B. and D. L. Hartmann, 2020: “Tropical Anvil Clouds: Radiative Driving Toward a Preferred State”, J. Geophys. Res. Atmos., 125, e2020JD033107, https://doi.org/10.1029/2020JD033107.
     
  245. Song, Z., X. He, Y. Bai, D. Wang, Z. Hao, F. Gong and Q. Zhu, 2020: “Changes and Predictions of Vertical Distributions of Global Light-Absorbing Aerosols Based on CALIPSO Observation”, Remote Sens., 12, 3014, https://doi.org/10.3390/rs12183014.
     
  246. Soni, A., U. Kumar, V. Prabhu and V. Shridhar, 2020: “Characterization, Source Apportionment and Carcinogenic Risk Assessment of Atmospheric Particulate Matter at Dehradun, situated in the Foothills of Himalayas”, J. Atmos. Sol.-Terr. Phy., 199, 105205, https://doi.org/10.1016/j.jastp.2020.105205.
     
  247. Soupiona, O., 2020: “Characterization and longitudinal study of aerosol particles using a synergy of lidar techniques and passive remote sensing methods in the Mediterranean basin”, Ph.D. Thesis, Physics Department, National Technical University of Athens, 141 pp. [see http://dx.doi.org/10.26240/heal.ntua.20247].
     
  248. Sreekanth, V. and P. Kulkarni, 2020: “Comparison of V4 and V3 CALIOP (L3) aerosol products: A global perspective”, Remote Sensing Applications: Society and Environment, 20, 100412, https://doi.org/10.1016/j.rsase.2020.100412.
     
  249. Srivastava, S. and A. S. Kumar, 2020: “Implications of intense biomass burning over Uttarakhand in April-May 2016”, Nat. Hazards, 101, 367-383, https://doi.org/10.1007/s11069-020-03877-1.
     
  250. Stengel, M., S. Stapelberg, O. Sus, S. Finkensieper, B. Würzler, D. Philipp, R. Hollmann, C. Poulsen, M. Christensen and G. McGarragh, 2020: “Cloud_cci Advanced Very High Resolution Radiometer post meridiem (AVHRR-PM) dataset version 3: 35-year climatology of global cloud and radiation properties”, Earth Syst. Sci. Data, 12, 41-60, https://doi.org/10.5194/essd-12-41-2020.
     
  251. Su, B., H. Li, M. Zhang, M. Bilal, M. Wang, L. Atique, Z. Zhang, C. Zhang, G. Han, Z. Qiu and M. A. Ali, 2020: “Optical and Physical Characteristics of Aerosol Vertical Layers over Northeastern China”, Atmosphere, 11, 501, https://doi.org/10.3390/atmos11050501.
     
  252. Sun, H., X. Liu and A. Wang, 2020: “Seasonal and interannual variations of atmospheric dust aerosols in mid and low latitudes of Asia - A comparative study”, Atmos. Res., 244, 105036, https://doi.org/10.1016/j.atmosres.2020.105036.
     
  253. Sun, X., C. Li, L. Liu, J. Yin, Y. Lei and J. Zhao, 2020: “Dynamic Monitoring of Haze Pollution Using Satellite Remote Sensing”, IEEE Sens. J., 20, 11802-11811, https://doi.org/10.1109/JSEN.2019.2942617.
     
  254. Sunil, S. and B. Padmakumari, 2020: “High temporal variability of wintertime fog, aerosol and Red-Blue-Ratio using ground-based observations of shortwave irradiance and sky imagery over a station in Indo-Gangetic Basin: Optical and Radiative characteristics”, Atmos. Environ., 226, 117382, https://doi.org/10.1016/j.atmosenv.2020.117382.
     
  255. Takahashi, N. and T. Hayasaka, 2020: “Air-sea interactions among oceanic low-level cloud, sea surface temperature, and atmospheric circulation on intra-seasonal timescale in summertime North Pacific based on satellite data analysis”, J. Climate, 33, 9195-9212, https://doi.org/10.1175/JCLI-D-19-0670.1.
     
  256. Takegawa, N., T. Seto, N. Moteki, M. Koike, N. Oshima, K. Adachi, K. Kita, A. Takami and Y. Kondo, 2020: “Enhanced New Particle Formation above the Marine Boundary Layer over the Yellow Sea: Potential Impacts on Cloud Condensation Nuclei”, J. Geophys. Res. Atmos., 125, e2019JD031448, https://doi.org/10.1029/2019JD031448.
     
  257. Tang, Y., Y. Zhou, M. Cai and X. Ma, 2020: “Global distribution of clouds based on CloudSat and CALIPSO combined observations”, Trans. Atmos. Sci., 43, 917-931, https://doi.org/10.13878/j.cnki.dqkxxb.20180104001 (in Chinese).
     
  258. Tang, Y., D. Q. Tong, K. Yang, P. Lee, B. Baker, A. Crawford, W. Luke, A. Stein, P. C. Campbell, A. Ring, J. Flynn, Y. Wang, J. McQueen, L. Pan, J. Huang and I. Stajner, 2020: “Air quality impacts of the 2018 Mt. Kilauea Volcano eruption in Hawaii: A regional chemical transport model study with satellite-constrained emissions”, Atmos. Environ., 237, 117648, https://doi.org/10.1016/j.atmosenv.2020.117648.
     
  259. Tandule, C. R., R. O. R. Kalluri, B. Gugamsetty, R. G. Kotalo, L. R. Thotli, R. R. Rajuru and S. Vaddin, 2020: “Decadal climatology of the spatial and vertical distributions of tropospheric aerosol over the Arabian Sea based on satellite observations”, Int. J. Climatol., 40, 4676-4689¸https://doi.org/10.1002/joc.6482.
     
  260. Teng, S., C. Liu, Z. Zhang, Y. Wang, B.-J. Sohn and Y. L. Yung, 2020: “Retrieval of Ice-Over-Water Cloud Microphysical and Optical Properties Using Passive Radiometers”, Geophys. Res. Lett., 47, e2020GL088941, https://doi.org/10.1029/2020GL088941.
     
  261. Thorsen, T. J., R. A. Ferrare, S. Kato and D. M. Winker, 2020: “Aerosol direct radiative effect sensitivity analysis”, J. Climate, 33, 6119-6139, https://doi.org/10.1175/JCLI-D-19-0669.1.
     
  262. Tian, Y., X. Pan, Z. Wang, D. Wang, B. Ge, X. Liu, Y. Zhang, H. Liu, S. Lei, T. Yang, P. Fu, Y. Sun and Z. Wang, 2020: “Transport patterns, size distributions, and depolarization characteristics of dust particles in East Asia in spring 2018”, J. Geophys. Res. Atmos., 125, e2019JD031752, https://doi.org/10.1029/2019JD031752.
     
  263. Torres, O., P.K. Bhartia, G. Taha, H. Jethva, S. Das, P. Colarco, N. Krotkov, A. Omar and C. Ahn, 2020: “Stratospheric Injection of Massive Smoke Plume from Canadian Boreal Fires in 2017 as seen by DSCOVR‐EPIC, CALIOP and OMPS‐LP Observations”, J. Geophys. Res. Atmos., 125, e2020JD032579, https://doi.org/10.1029/2020JD032579.
     
  264. Tournigand, P.-Y., V. Cigala, E. Lasota, M. Hammouti, L. Clarisse, Brenot, F. Prata, G. Kirchengast, A. K. Steiner and R. Biondi, 2020: “A multi-sensor satellite-based archive of the largest SO2 volcanic eruptions since 2006”, Earth Syst. Sci. Data, 12, 3139-3159, https://doi.org/10.5194/essd-12-3139-2020.
     
  265. Turquety, S., L. Menut, G. Siour, S. Mailler, J. Hadji-Lazaro, M. George, C. Clerbaux, D. Hurtmans, and P.-F. Coheur, 2020: “APIFLAME v2.0 biomass burning emissions model: impact of refined input parameters on atmospheric concentration in Portugal in summer 2016”, Geosci. Model Dev., 13, 2981-3009, https://doi.org/10.5194/gmd-13-2981-2020.
     
  266. Uma, K. N., T. S. Mohan and S. K. Das, 2020: “Role of Intra-Seasonal Variability in the Indian Summer Monsoon on the Hydration and Dehydration of the Upper Troposphere”, Theor. Appl. Climatol., 141, 747-761, https://doi.org/10.1007/s00704-020-03243-y.
     
  267. Ungermann, J., I. Bartolome, S. Grießbach, R. Spang, C. Rolf, M. Krämer, M. Höpfner, and M. Riese, 2020: “Cirrus cloud shape detection by tomographic extinction retrievals from infrared limb emission sounder measurements”, Atmos. Meas. Tech., 13, 7025-7045, https://doi.org/10.5194/amt-13-7025-2020.
     
  268. Unglaub, C., K. Block, J. Mülmenstädt, O. Sourdeval and J. Quaas, 2020: “A new classification of satellite derived liquid water cloud regimes at cloud scale”, Atmos. Chem. Phys., 20, 2387-2405, https://doi.org/10.5194/acp-20-2387-2020.
     
  269. Usha, K. H., V. S. Nair and S. S. Babu, 2020: “Modeling of aerosol induced snow albedo feedbacks over the Himalayas and its implications on regional climate”, Clim. Dynam., https://doi.org/10.1007/s00382-020-05222-5.
     
  270. van Kampenhout, L., J. T. M. Lenaerts, W. H. Lipscomb, S. Lhermitte, B. Noël, M. Vizcaíno, W. J. Sacks and M. R. van den Broeke, 2020: “Present‐day Greenland Ice Sheet climate and surface mass balance in CESM2”, J. Geophys. Res. Earth, 125, e2019JF005318, https://doi.org/10.1029/2019JF005318.
     
  271. Vernier, J.-P., L. Kalnajs, J. A. Diaz, T. Reese, E. Corrales, A. Alan, H. Vernier, L. Holland, A. Patel, N. Rastogi, F. Wienhold, S. Carn, N. Krotkov and J. Murray, 2020: “VolKilau: Volcano rapid response balloon campaign during the 2018 Kilauea eruption”, B. Am. Meteorol. Soc., 101, E1602-E1618, https://doi.org/10.1175/BAMS-D-19-0011.1.
     
  272. Vignesh, P. P., J. H. Jiang, P. Kishore, H. Su, T. Smay, N. Brighton and I. Velicogna, 2020: “Assessment of CMIP6 Cloud Fraction and Comparison With Satellite Observations”, Earth and Space Science, 7, https://doi.org/10.1029/2019EA000975.
     
  273. Villanueva, D., B. Heinold, P. Seifert, H. Deneke, M. Radenz and I. Tegen, 2020: “The day-to-day co-variability between mineral dust and cloud glaciation: A proxy for heterogeneous freezing”, Atmos. Chem. Phys., 20, 2177-2199, https://doi.org/10.5194/acp-20-2177-2020.
     
  274. Vinjamuri, K. S., A, Mhawish, T, Banerjee, M, Sorek-Hamer, D, M. Broday, R, K. Mall and M. T. Latif, 2020: “Vertical distribution of smoke aerosols over upper Indo-Gangetic Plain”, Environ. Pollut., 257, 113377, https://doi.org/10.1016/j.envpol.2019.113377.
     
  275. Voss, K., 2020: “What makes an Atmospheric River dusty? Spatio-temporal characteristics and drivers of dust in the vicinity of Atmospheric Rivers along the U.S. west coast”, Ph.D. Thesis, Scripps Institution of Oceanography, University of California San Diego, 127 pp. [see https://escholarship.org/uc/item/30m5n5b0].
     
  276. Voss, K. K., A. T. Evan, K. A. Prather and F. M. Ralph, 2020: “Dusty Atmospheric Rivers: Characteristics and Origins”, J. Climate, 33, 9749-9762, https://doi.org/10.1175/JCLI-D-20-0059.1.
     
  277. Wall, C. J., J. R. Norris, B. Gasparini, W. L. Smith Jr., M. M. Thieman and O. Sourdeval, 2020: “Observational Evidence that Radiative Heating Modifies the Life Cycle of Tropical Anvil Clouds”, J. Climate, 33, 8621-8640, https://doi.org/10.1175/JCLI-D-20-0204.1.
     
  278. Wang, C., S. Platnick, K. Meyer, Z. Zhang, and Y. Zhou, 2020: “A Machine Learning-Based Cloud Detection and Thermodynamic Phase Classification Algorithm using Passive Spectral Observations”, Atmos. Meas. Tech., 13, 2257-2277, https://doi.org/10.5194/amt-13-2257-2020.
     
  279. Wang, L., B. Lyu and Y. Bai, 2020: “Aerosol vertical profile variations with seasons, air mass movements and local PM2.5 levels in three large China cities”, Atmos. Environ., 224, 117329, https://doi.org/10.1016/j.atmosenv.2020.117329.
     
  280. Wang, L., B. Lyu, Z. Deng, J. Liu and Y. Bai, 2020: “Improving the estimating accuracy of extinction coefficient of surface aerosol with a new layer-resolved model in China”, Sci. Total Environ., 713, 136443, https://doi.org/10.1016/j.scitotenv.2019.136443.
     
  281. Wang, Q., L. Bu, L. Tian, J. Xu, S. Zhu and J. Liu, 2020: “Validation of an airborne high spectral resolution Lidar and its measurement for aerosol optical properties over Qinhuangdao, China”, Opt. Express, 28, 24471-24488, https://doi.org/10.1364/OE.397582.
     
  282. Wang, S., C. Liu, W. Zhang, N. Hao, S. G. García, C. Xing, C. Zhang, W. Su and J. Liu, 2020: “Retrieval Algorithm Based On the O2-O2 477 nm Absorption Band”, Remote Sens., 12, 3039, https://doi.org/10.3390/rs12183039.
     
  283. Wang, T., Y. Chen, Z. Gan, Y. Han, J. Li and J. Huang, 2020: “Assessment of dominating aerosol properties and their long-term trend in the Pan-Third Pole region: A study with 10-year multi-sensor measurements”, Atmos. Environ., 239, 117738, https://doi.org/10.1016/j.atmosenv.2020.117738.
     
  284. Wang, T., Y. Han, J. Huang, M. Sun, B. Jian, Z. Huang and H. Yan, 2020: “Climatology of dust‐forced radiative heating over the Tibetan Plateau and its surroundings”, J. Geophys. Res. Atmos., 125, e2020JD032942, https://doi.org/10.1029/2020JD032942.
     
  285. Wang, Y., X. Zeng, X. Xu, J. Welty, D. H. Lenschow, M. Zhou and Y. Zhao, 2020: “Why are there more summer afternoon low clouds over the Tibetan Plateau compared to eastern China?”, Geophys. Res. Lett., 47, e2020GL089665, https://doi.org/10.1029/2020GL089665.
     
  286. Wang, Z., X. Huang, N. Wang, J. Xu and A. Ding, 2020: “Aerosol‐Radiation Interactions of Dust Storm Deteriorate Particle and Ozone Pollution in East China”, J. Geophys. Res. Atmos., 125, e2020JD033601, https://doi.org/10.1029/2020JD033601.
     
  287. Wei, X., N.-B. Chang, K. Bai and W. Gao, 2020: “Satellite remote sensing of aerosol optical depth: advances, challenges, and perspectives”, 50, 1640-1725, https://doi.org/10.1080/10643389.2019.1665944.
     
  288. Williams, C. G., 2020: “Atmospheric layering during peak pine pollen season”, Grana, 59, 466-475, https://doi.org/10.1080/00173134.2020.1737728.
     
  289. Wright, J. S., X. Sun, P. Konopka, K. Krüger, B. Legras, A. M. Molod, S. Tegtmeier, G. J. Zhang and X. Zhao, 2020: “Differences in tropical high clouds among reanalyses: origins and radiative impacts”, Atmos. Chem. Phys., 20, 8989-9030, https://doi.org/10.5194/acp-20-8989-2020.
     
  290. Wu, M., X. Liu, H. Yu, H. Wang, Y. Shi, K. Yang, A. Darmenov, C. Wu, Z. Wang, T. Luo, Y. Feng, and Z. Ke, 2020: “Understanding Processes that Control Dust Spatial Distributions with Global Climate Models and Satellite Observations”, Atmos. Chem. Phys., 20, 13835-13855, https://doi.org/10.5194/acp-20-13835-2020.
     
  291. Xiao, H.‐W., L. Luo, R.‐G. Zhu, W. Guo, A.‐M. Long, J.‐F. Wu and H.‐Y. Xiao, 2020: “Enhanced primary production in the oligotrophic South China Sea related to Southeast Asian forest fires”, J. Geophys. Res. Oceans, 125, e2019JC015663. https://doi.org/10.1029/2019JC015663.
     
  292. Xie, Y., M. Lin and L. W. Horowitz, 2020: “Summer PM2.5 Pollution Extremes Caused by Wildfires Over the Western United States During 2017-2018”, Geophys. Res. Lett., 47, e2020GL089429, https://doi.org/10.1029/2020GL089429.
     
  293. Xing, Z., 2020: “Tracking Sources of Atmospheric Particulate Matters in Regions Dominated by Intensive Human Activities: from Site-Specific Receptor Modeling to Large Scale Satellite Observation”, Ph.D. Thesis, Schulich School of Engineering, University of Calgary, 158 pp. [see http://hdl.handle.net/1880/112081].
     
  294. Xu, C., Q. Guan, J. Lin, H. Luo, L. Yang, Q. Wang, 2020: “Identification and quantitative analysis of dust trajectories in the Hexi Corridor”, Agr. Forest. Meteorol., 291, 107987, https://doi.org/10.1016/j.agrformet.2020.107987.
     
  295. Xu, C., Y. Ma, J. Ma, C. You and H. Wang, 2020: “Spring dust mass flux over the Tibetan Plateau during 2007-2019 and connections with North Atlantic SST variability”, J. Climate, 33, 9691-9703, https://doi.org/10.1175/JCLI-D-19-0481.1.
     
  296. Xu, X., H. Wu, X. Yang and L. Xie, 2020: “Distribution and transport characteristics of dust aerosol over Tibetan Plateau and Taklimakan Desert in China using MERRA-2 and CALIPSO data”, Atmos. Environ., 237, 117670, https://doi.org/10.1016/j.atmosenv.2020.117670.
     
  297. Yamauchi, A., K. Kawamoto, H. Okamoto and K. Sato, 2020: “Differences in Cloud Characteristics Between Barents Sea and East Siberian Sea Using CALIPSO Data”, Journal of The Remote Sensing Society of Japan, 40, S12-S18, https://doi.org/10.11440/rssj.40.S12.
     
  298. Yan, Y., X. Liu, Y. Liu and J. Lu, 2020: “Comparison of mixed-phase clouds over the Arctic and the Tibetan Plateau: seasonality and vertical structure of cloud radiative effects”, Clim. Dynam., 54, 4811-4822, https://doi.org/10.1007/s00382-020-05257-8.
     
  299. Yang, F. and J. Cheng, 2020: “A framework for estimating cloudy sky surface downward longwave radiation from the derived active and passive cloud property parameters”, Remote Sens. Environ., 248, 111972, https://doi.org/10.1016/j.rse.2020.111972.
     
  300. Yang, T., Y. Chen, S. Zhou, H. Li, F. Wang and Y. Zhu, 2020: “Solubilities and deposition fluxes of atmospheric Fe and Cu over the Northwest Pacific and its marginal seas”, Atmos. Environ., 239, 117763, https://doi.org/10.1016/j.atmosenv.2020.117763.
     
  301. Yang, Y., M. Chen, X. Zhao, D. Chen, S. Fan, J. Guo and S. Ali, 2020: “Impacts of aerosol-radiation interaction on meteorological forecasts over northern China by offline coupling of the WRF-Chem-simulated aerosol optical depth into WRF: a case study during a heavy pollution event”, Atmos. Chem. Phys., 20, 12527-12547, https://doi.org/10.5194/acp-20-12527-2020.
     
  302. Yang, Y and S. Gao, 2020: “The Impact of Turbulent Diffusion Driven by Fog‐Top Cooling on Sea Fog Development”, J. Geophys. Res. Atmos., 125, e2019JD031562, https://doi.org/10.1029/2019JD031562.
     
  303. Yao, W., H. Che, K. Gui, Y. Wang and X. Zhang, 2020: “Can MERRA-2 Reanalysis Data Reproduce the Three-Dimensional Evolution Characteristics of a Typical Dust Process in East Asia? A Case Study of the Dust Event in May 2017”, Remote Sens., 12, 902, https://doi.org/10.3390/rs12060902.
     
  304. Yeom, J.-M., J.-L. Roujean, K.-S. Han, K.-S. Lee and H.-W. Kim, 2020: “Thin cloud detection over land using background surface reflectance based on the BRDF model applied to Geostationary Ocean Color Imager (GOCI) satellite data sets”, Remote Sens. Environ., 239, 111610, https://doi.org/10.1016/j.rse.2019.111610.
     
  305. Yin, B., Q. Min, E. Morgan, Y. Yang, A. Marshak, and A. B. Davis, 2020: “Cloud-top pressure retrieval with DSCOVR EPIC oxygen A- and B-band observations”, Atmos. Meas. Tech., 13, 5259-5275, https://doi.org/10.5194/amt-13-5259-2020.
     
  306. Yin, X.-Y., J. Fan, M. Zhang, X.-N. Wu, X.-J. Zhang, Q. Chen and S.-G. Wang, 2020: “The Airborne Dust Reservoir effect of Tarim Basin and its impact on air quality”, China Environmental Science, 40, 546-553 [see http://www.zghjkx.com.cn/EN/abstract/abstract16747.shtml].
     
  307. Yoshimoria, M., F. H. Lambert, M. J. Webb and T. Andrews, 2020: “Fixed anvil temperature feedback - positive, zero or negative?”, J. Climate, 33, 2719-2739, https://doi.org/10.1175/JCLI-D-19-0108.1.
     
  308. Yu, L., Y.-F. Fu, Y. Yang, X. Pan and R. Tan, 2020: “Trumpet‐shaped Topography Modulation of the Frequency, Vertical Structures and Water Path of Cloud Systems in the Summertime over the Southeastern Tibetan Plateau: A Perspective of Daytime-nighttime Differences”, J. Geophys. Res. Atmos., 125, e2019JD031803, https://doi.org/10.1029/2019JD031803.
     
  309. Yu, Y., O. V. Kalashnikova, M. J. Garay, H. Lee, M. Notaro, J. R. Campbell, J. Marquis, P. Ginoux and G. S. Okin, 2020: “Disproving the Bodélé depression as the primary source of dust fertilizing the Amazon Rainforest”, Geophys. Res. Lett., 47, e2020GL088020, https://doi.org/10.1029/2020GL088020.
     
  310. Yuan, Q., X. Wan, Z. Cong, M. Li, L. Liu, S. Shu, R. Liu, L. Xu, J. Zhang, X. Ding and W. Li, 2020: “In-situ Observations of Light-absorbing Carbonaceous Aerosols at Himalaya: Analysis of the South Asian Sources and Trans-Himalayan Valleys Transport Pathways”, J. Geophys. Res. Atmos., 125, e2020JD032615, https://doi.org/10.1029/2020JD032615.
     
  311. Yue, Q., J. H. Jiang, A. Heymsfield, K.-N. Liou, Y. Gu and A. Sinha, 2020: “Combining In-situ and SatelliteObservations to Understand the Vertical Structure of Tropical Anvil Cloud Microphysical Properties During the TC4 Experiment”, Earth and Space Science, 7, e2020EA001147, https://doi.org/10.1029/2020EA001147.
     
  312. Zamora, L. M. and R. A. Kahn, 2020: “Saharan dust aerosols change deep convective cloud prevalence, possibly by inhibiting marine new particle formation”, J. Climate, 33, 9467-9480, https://doi.org/10.1175/JCLI-D-20-0083.1.
     
  313. Zandkarimi, A., P. Fatehi and R. Shah-Hoseini, 2020: “An improved dust identification index (IDII) based on MODIS observation”, Int. J. Remote Sens., 41, 8048-8068, https://doi.org/10.1080/01431161.2020.1770366.
     
  314. Zeng, Y., M. Wang, C. Zhao, S. Chen, Z. Liu, X. Huang and Y. Gao, 2020: “WRF-Chem v3.9 simulations of the East Asian dust storm in May 2017: modeling sensitivities to dust emission and dry deposition schemes”, Geosci. Model Dev., 13, 2125-2147, https://doi.org/10.5194/gmd-13-2125-2020.
     
  315. Zeng, Z.-C., S. Chen, V. Natraj, T. Le, F. Xu, A. Merrelli, D. Crisp, S. P. Sander and Y. L. Yung, 2020: “Constraining the vertical distribution of coastal dust aerosol using OCO-2 O2 A-band measurements”, Remote Sens. Environ., 236, 111494, https://doi.org/10.1016/j.rse.2019.111494.
     
  316. Zhang, F., Q.-R. Yu, J.-L. Mao, C. Dan, Y. Wang, Q. He, T. Cheng, C. Chen, D. Liu and Y. Gao, 2020: “Possible mechanisms of summer cirrus clouds over the Tibetan Plateau”, Atmos. Chem. Phys., 20, 11799-11808, https://doi.org/10.5194/acp-20-11799-2020.
     
  317. Zhang, J., H. Shi, Q. Chen, X. Zong, J. Li, X. Han, Y. Bi and X. Xia, 2020: “Radiation profiles from the surface up to the upper troposphere and lower stratosphere over the Tibetan Plateau”, Environ. Res. Lett., 15, 104001, https://doi.org/10.1088/1748-9326/abafd2.
     
  318. Zhang, M., B. Su, M. Bilal, L. Atique, M. Usman, Z. Qiu, M. A. Ali and G. Han, 2020: “An Investigation of Vertically Distributed Aerosol Optical Properties over Pakistan Using CALIPSO Satellite Data”, Remote Sens., 12, 2183, https://doi.org/10.3390/rs12142183.
     
  319. Zhang, M., D. Wu, B. Su, M. Bilal, Y. Li, B. L. Li, 2020: “Spatio-Temporal Characteristics of PM2.5, PM10, and AOD over Canal Head Taocha Station, Henan Province”, Remote Sens., 12, 3432, https://doi.org/10.3390/rs12203432.
     
  320. Zhang, S., J. Wu, W. Fan, Q. Yang and D. Zhao, 2020: “Review of aerosol optical depth retrieval using visibility data”, Earth-Sci. Rev., 200, 102986, https://doi.org/10.1016/j.earscirev.2019.102986.
     
  321. Zhang, X., S. Chen, L. Kang, T. Yuan, Y. Luo, K. Alam, J. Li, Y. He, H. Bi and D. Zhao, 2020: “Direct Radiative Forcing Induced by Light-Absorbing Aerosols in Different Climate Regions Over East Asia”, J. Geophys. Res. Atmos., 125, e2019JD032228, https://doi.org/10.1029/2019JD032228.
     
  322. Zhang, X., H. Wang, H.-Z. Che, S.-C. Tan, G.-Y. Shi and X.-P. Yao, 2020: “The impact of aerosol on MODIS cloud detection and property retrieval in seriously polluted East China”, Sci. Total Environ., 711, 134634, https://doi.org/10.1016/j.scitotenv.2019.134634.
     
  323. Zhang, Y. and J. Li, 2020: “Retrieval of Surface Visibility Using Satellite-Based Aerosol Measurements”, Acta Scientiarum Naturalium Universitatis Pekinensis, 56, 231-241, https://doi.org/10.13209/j.0479-8023.2019.124.
     
  324. Zhang, Y., C. Yang, R. Tao, J. Wang and W. Tian, 2020: “Multi-temporal Cloud Detection Method for Qinghai-Tibet Plateau based with FY-4A Data”, Remote Sensing Technology and Application, 35, 389-398, https://doi.org/10.11873/j.issn.1004-0323.2020.2.0389.
     
  325. Zhang, Y., F. Yu, G. Luo, J.-P. Chen and C. C.-K. Chou, 2020: “Impact of Mineral Dust on Summertime Precipitation Over the Taiwan Region”, J. Geophys. Res. Atmos., 125, e2020JD033120, https://doi.org/10.1029/2020JD033120.
     
  326. Zhang, Z., M. Zhang, M. Bilal, B. Su, C. Zhang and L. Guo, 2020: “Comparison of MODIS- and CALIPSO-Derived Temporal Aerosol Optical Depth over Yellow River Basin (China) from 2007 to 2015”, Earth Systems and Environment, 4, 535-550, https://doi.org/10.1007/s41748-020-00181-7.
     
  327. Zhao, J., X. Ma, S. Wu and T. Sha, 2020: “Dust emission and transport in Northwest China: WRF-Chem simulation and comparisons with multi-sensor observations”, Atmos. Res., 241, 104978, https://doi.org/10.1016/j.atmosres.2020.104978.
     
  328. Zhao, L., W. Wang, T. Hao, W. Qu, L. Sheng, C. Luo, X. An and Y. Zhou, 2020: “The autumn haze-fog episode enhanced by the transport of dust aerosols in the Tianjin area”, Atmos. Environ., 237, 117669, https://doi.org/10.1016/j.atmosenv.2020.117669.
     
  329. Zheng, Z., W. Chen, Y. Zhang, S. Chen and D. Liu, 2020: “Denoising the space-borne high-spectral-resolution lidar signal with blockmatching and 3D filtering”, Appl. Opt., 59, 2820-2828, https://doi.org/10.1364/AO.385469.
     
  330. Zhou, Y., R. C. Levy, L. A. Remer, S. Mattoo, Y. Shi and C. Wang, 2020: “Dust Aerosol Retrieval over the Oceans with the MODIS/VIIRS Dark Target algorithm. Part I: Dust Detection”, Earth and Space Science, 7, e2020EA001221, https://doi.org/10.1029/2020EA001221.
     
  331. Zhu, Q., Y. Liu, T. Shao and Y. Tang, 2020: “Transport of Asian aerosols to the Pacific Ocean”, Atmos. Res., 234, 104735, https://doi.org/10.1016/j.atmosres.2019.104735.
     
  332. Zhu, W., L. Zhu, J. Li and H. Sun, 2020: “Retrieving Volcanic Ash Top Height through Combined Polar Orbit Active and Geostationary Passive Remote Sensing Data”, Remote Sens., 12, 953, https://doi.org/10.3390/rs12060953.
     
  333. Zhu, Y., O. B. Toon, E. J. Jensen, C. G. Bardeen, M. J. Mills, M. A. Tolbert, P. Yu and S. Woods, 2020: “Persisting volcanic ash particles impact stratospheric SO2 lifetime and aerosol optical properties”, Nat. Commun., 11, 4526, https://doi.org/10.1038/s41467-020-18352-5.
     
  334. Zhuge, X., X. Zou and Y. Wang, 2020: “Determining AHI Cloud-Top Phase and Intercomparisons with MODIS Products Over North Pacific”, IEEE Trans. Geosci. Remote Sens., 59, 436-448, https://doi.org/10.1109/TGRS.2020.2990955.
     
  335. Zielinski, T., E. Bolzacchini, M. Cataldi, L. Ferrero, S. Graßl, G. Hansen, D. Mateos, M. Mazzola, R. Neuber, P. Pakszys, M. Posyniak, C. Ritter, M. Severi, P. Sobolewski, R. Traversi and C. Velasco-Merino, 2020: “Study of Chemical and Optical Properties of Biomass Burning Aerosols during Long-Range Transport Events toward the Arctic in Summer 2017”, Atmosphere, 11, 84, https://doi.org/10.3390/atmos11010084.
     
  336. Zou, L., S. Griessbach, L. Hoffmann, B. Gong, and L. Wang, 2020: “Revisiting global satellite observations of stratospheric cirrus clouds”, Atmos. Chem. Phys., 20, 9939-9959, https://doi.org/10.5194/acp-20-9939-2020.
     

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Published in 2019
  1. Abbasi Balochkhaneh, F., S. Madadi Zadeh, F. Samiei, S. M. Mirhamidi, F. Golkhani And E. Seyd Abadi, 2019: “Estimation of the Health Effects of Exposure to PM10 Contaminants Using the Air Q Model”, J. Organ. Behav. Res., 4, 91S2454.
     
  2. Ackerman, S., S. Platnick, P. Bhartia, B. Duncan, T. L’Ecuyer, A. Heidinger, G. Skofronick-Jackson, N. Loeb, T. Schmit, and N. Smith, 2019: “Satellites see the World’s Atmosphere”, Meteor. Mon., 59, 4.1-4.53, https://doi.org/10.1175/AMSMONOGRAPHS-D-18-0009.1.
     
  3. Adams, C., C. A. McLinden, M. W. Shephard, N. Dickson, E. Dammers, J. Chen, P. Makar, K. E. Cady-Pereira, N. Tam, S. K. Kharol, L. N. Lamsal and N. A. Krotkov, 2019: “Satellite-derived emissions of carbon monoxide, ammonia, and nitrogen dioxide from the 2016 Horse River wildfire in the Fort McMurray area”, Atmos. Chem. Phys., 19, 2577-2599, https://doi.org/10.5194/acp-19-2577-2019.
     
  4. Allen, R. J., A. Amiri-Farahani, J.-F. Lamarque, C. Smith, D. Shindell, T. Hassan and C. E. Chung, 2019: “Observationally constrained aerosol-cloud semi-direct effects”, npj Climate and Atmospheric Science, 2, 16, https://doi.org/10.1038/s41612-019-0073-9.
     
  5. Ancellet, G., I. E. Penner, J. Pelon, V. Mariage, A. Zabukovec, J. C. Raut, G. Kokhanenko and Y. S. Balin, 2019: “Aerosol monitoring in Siberia using an 808-nm automatic compact lidar”, Atmos. Meas. Tech., 12, 147-168, https://doi.org/10.5194/amt-12-147-2019.
     
  6. Andersen, H., J. Cermak, I. Solodovnik, L. Lelli and R. Vogt, 2019: “Spatiotemporal dynamics of fog and low clouds in the Namib unveiled with ground and space-based observations”, Atmos. Chem. Phys., 19, 4383-4392, https://doi.org/10.5194/acp-19-4383-2019.
     
  7. Baars, H., and 63 coauthors, 2019: “The unprecedented 2017-2018 stratospheric smoke event: Decay phase and aerosol properties observed with EARLINET”, Atmos. Chem. Phys., 19, 15183-15198, https://doi.org/10.5194/acp-19-15183-2019.
     
  8. Bagtasa, G., M. G. Cayetano, C.-S. Yuan, O. Uchino, T. Sakai, T. Izumi, I. Morino, T. Nagai, R. C. Macatangay and V. A. Velazco, 2019: “Long-range transport of aerosols from East and Southeast Asia to northern Philippines and its direct radiative forcing effect”, Atmos. Environ., 218, 117007, https://doi.org/10.1016/j.atmosenv.2019.117007.
     
  9. Bai, B., Q. Zhang, X. Chen, Y. Liu and F. Liu, 2019: “Classification and characteristics of aerosols in arid and semi-arid regions of Northwest China”, China Desert, 39, 105-110 [in Chinese; see http://www.cnki.com.cn/Article/CJFDTotal-ZGSS201905014.htm].
     
  10. Bai, B., Q. Zhang, L. Zhang and Y. Wang, 2019: “Characteristics of Aerosols over the Summer Monsoon Transition Zone”, Adv. Meteorol., 2019, 4382947, https://doi.org/10.1155/2019/4382947.
     
  11. Balmes, K. A., Q. Fu, and T. J. Thorsen, 2019: “Differences in Ice Cloud Optical Depth from CALIPSO and Ground-Based Raman Lidar at the ARM SGP and TWP Sites”, J. Geophys. Res. Atmos., 124, 1755-1778, https://doi.org/10.1029/2018JD028321.
     
  12. Barragán Cuesta, R., 2019: “Lidar remote sensing and co-operative observations: Processing methods and aerosol radiative transfer”, Ph.D. Thesis, Departament de Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya, 167 pp. [see https://upcommons.upc.edu/handle/2117/166977].
     
  13. Barkley, A. E., J. M. Prospero, N. Mahowald, D. S. Hamilton, K. J. Popendorf, A. M. Oehlert, A. Pourmand, A. Gatineau, K. Panechou-Pulcherie, P. Blackwelder, and C. J. Gaston, 2019: “African biomass burning is a substantial source of phosphorus deposition to the Amazon, Tropical Atlantic Ocean, and Southern Ocean”, PNAS, https://doi.org/10.1073/pnas.1906091116.
     
  14. Battaglia, A. and P. Kollias, 2019: “Evaluation of differential absorption radars in the 183 GHz band for profiling water vapour in ice clouds”, Atmos. Meas. Tech., 12, 3335-3349, https://doi.org/10.5194/amt-12-3335-2019.
     
  15. Bauer, S. E., U. Im, K. Mezuman and C. Y. Gao, 2019: “Desert dust, industrialization and agricultural fires: Health impacts of outdoor air pollution in Africa”, J. Geophys. Res. Atmos., 124, 4104-4120, https://doi.org/10.1029/2018JD029336.
     
  16. Behrenfeld, M. J., P. Gaube, A. Della Penna, R. T. O’Malley, W. J. Burt, Y. Hu, P. S. Bontempi, D. K. Steinberg, E. S. Boss, D. A. Siegel, C. A. Hostetler, P. D. Tortell and S. C. Doney, 2019: “Global satellite-observed daily vertical migrations of ocean animals”, Nature, 576, 257-261, https://doi.org/10.1038/s41586-019-1796-9.
     
  17. Beig, G., R. Srinivas, N. S. Parkhi, G. R. Carmichael, S. Singh, S. K. Sahu, A. Rathod and S. Maji, 2019: “Anatomy of the winter 2017 air quality emergency in Delhi”, Sci. Total Environ., 681, 305-311, https://doi.org/10.1016/j.scitotenv.2019.04.347.
     
  18. Benkhalifa, J., J. F. Léon and M. Chaabane, 2019: “Aerosol vertical distribution, optical properties and dust transport in the Western Mediterranean Basin (Case Study: Summer 2012)”, Aerosol Pollution Research, 10, 1291-1298, https://doi.org/10.1016/j.apr.2019.02.013.
     
  19. Bhattarai, H., Y. Zhang, C. M. Pavuluri, X. Wan, G. Wu, P. Li, F. Cao, W. Zhang, Y. Wang, S. Kang, K. Ram, K. Kawamura, Z. Ji, D. Widory and Z. Cong, 2019: “Nitrogen speciation and isotopic composition of aerosols collected at Himalayan forest (3326 m a.s.l.): Seasonality, sources and implications”, Environ. Sci. Technol., 53, 12247-12256, https://doi.org/10.1021/acs.est.9b03999.
     
  20. Berry, E., G. G. Mace and A. Gettelman, 2019: “Using A-Train observations to evaluate cloud occurrence and radiative effects in the Community Atmosphere Model during the Southeast Asia summer monsoon”, J. Climate, 32, 4145-4165, https://doi.org/10.1175/JCLI-D-18-0693.1.
     
  21. Benkhalifa, J., J. F. Léon and M. Chaabane, 2019: “Aerosol vertical distribution, optical properties and dust transport in the Western Mediterranean Basin (Case Study: Summer 2012)”, Aerosol Pollution Research, 10, 1291-1298, https://doi.org/10.1016/j.apr.2019.02.013.
     
  22. Bodas-Salcedo, A., J. P. Mulcahy, T. Andrews, K. D. Williams, M. A. Ringer, P. R. Field and G. S. Elsaesser, 2019: “Strong dependence of atmospheric feedbacks on mixed-phase microphysics and aerosol-cloud interactions in HadGEM3”, JAMES, 11, 1735-1758, https://doi.org/10.1029/2019MS001688.
     
  23. Bodenheimer, S., I. M. Lensky and U. Dayan, 2019: “Characterization of Eastern Mediterranean dust storms by area of origin; North Africa vs. Arabian Peninsula”, Atmos. Environ., 198, 158-165, https://doi.org/10.1016/j.atmosenv.2018.10.034.
     
  24. Bozlaker, A., J. M. Prospero, J. Price and S. Chellam, 2019: “Identifying and Quantifying the Impacts of Advected North African Dust on the Concentration and Composition of Airborne Fine Particulate Matter in Houston and Galveston, Texas”, J. Geophys. Res. Atmos., 124, 12282-12300, https://doi.org/10.1029/2019JD030792.
     
  25. Brient, F., R. Roehrig and A. Voldoire, 2019: “Evaluating marine stratocumulus clouds in the CNRM-CM6-1 model using short-term hindcasts”, JAMES, 11, 127-148, https://doi.org/10.1029/2018MS001461.
     
  26. Brooks, J., J. D. Allan, P. I. Williams, D. Liu, C. Fox, J. Haywood, J. M. Langridge, E. J. Highwood, S. K. Kompalli, D. O’Sullivan, S. S. Babu, S. K. Satheesh, A. G. Turner, and H. Coe, 2019: “Vertical and horizontal distribution of submicron aerosol chemical composition and physical characteristics across northern India during pre-monsoon and monsoon seasons”, Atmos. Chem. Phys., 19, 5615-5634, https://doi.org/10.5194/acp-19-5615-2019.
     
  27. Brunke, M. A., P.-L. Ma, J. E. J. Reeves Eyre, P. J. Rasch, A. Sorooshian and X. Zeng, 2019: “Subtropical marine low stratiform cloud deck spatial errors in the E3SMv1 Atmosphere Model”, Geophys. Res. Lett., 46, 12598-12607, https://doi.org/10.1029/2019GL084747.
     
  28. Callewaert, S., S. Vandenbussche, N. Kumps, A. Kylling, X. Shang, M. Komppula, P. Goloub and M. De Mazière, 2019: “The Mineral Aerosol Profiling from Infrared Radiances (MAPIR) algorithm: version 4.1 description and validation”, Atmos. Meas. Tech., 12, 3673-3698, https://doi.org/10.5194/amt-12-3673-2019.
     
  29. Castellanos, P., A. M. da Silva, A. S. Darmenov, V. Buchard, R. C. Govindaraju, P. Ciren and S. Kondragunta, 2019: “A Geostationary Instrument Simulator for Aerosol Observing System Simulation Experiments”, Atmosphere, 10, 2. https://doi.org/10.3390/atmos10010002.
     
  30. Cauquoin, A., C. Risi and E. Vignon, 2019: “Importance of the advection scheme for the simulation of water isotopes over Antarctica by atmospheric general circulation models: Acase study for present-day and Last Glacial Maximum with LMDZ-iso”, Earth Planet. Sc. Lett., 524, 115731, https://doi.org/10.1016/j.epsl.2019.115731.
     
  31. Cazenave, Q., 2019: “Development and evaluation of multisensor methods for EarthCare mission based on A-Train and airborne measurements”, Ph.D. Thesis, School of Environmental Sciences, Université de Versailles-Saint-Quentin-en-Yvelines, 167 pp. [see http://www.theses.fr/en/2019SACLV020].
     
  32. Cazenave, Q., M. Ceccaldi, J. Delanoë, J. Pelon, S. Groß and A. Heymsfield, 2019: “Evolution of DARDAR-CLOUD ice cloud cloud retrieval: new parameters and impacts on the retrieved microphysical properties”, Atmos. Meas. Tech., 12, 2819-2835, https://doi.org/10.5194/amt-12-2819-2019.
     
  33. Cesana, G., D. Waliser, D. Henderson, T. L’Ecuyer, X. Jiang, and J. Li, 2019: “The Vertical Structure of Radiative Heating Rates: A Multimodel Evaluation Using A-Train Satellite Observations”, J. Climate, 32, 1573-1590, https://doi.org/10.1175/JCLI-D-17-0136.1.
     
  34. Cesana, G., A. D. Del Genio, A. S. Ackerman, M. Kelley, G. Elsaesser, A. M. Fridlind, Y. Cheng and M.-S. Yao, 2019: “Evaluating Models’ Response of Tropical Low Clouds to SST Forcings Using CALIPSO Observations”, Atmos. Chem. Phys., 19, 2813-2832, https://doi.org/10.5194/acp-19-2813-2019.
     
  35. Cesana, G., A. D. Del Genio and H. Chepfer, 2019: “The Cumulus And Stratocumulus CloudSat-CALIPSO Dataset (CASCCAD)”, Earth Syst. Sci. Data, 11, 1745-1764, https://doi.org/10.5194/essd-11-1745-2019.
     
  36. Cesana, G., D. Waliser, D. Henderson, T. L’Ecuyer, X. Jiang, and J. Li, 2019: “The Vertical Structure of Radiative Heating Rates: A Multimodel Evaluation Using A-Train Satellite Observations”, J. Climate, 32, 1573-1590, https://doi.org/10.1175/JCLI-D-17-0136.1.
     
  37. Chang, K.-W., 2019: “Dynamical and Radiative Processes in the Tropical Tropopause Layer”, Ph.D. Thesis, Department of Atmospheric and Oceanic Sciences, University of Wisconsin-Madison.
     
  38. Chazette, P., C. Flamant, J. Totems, M. Gaetani, G. Smith, A. Baron, X. Landsheere, K. Desboeufs, J.-F. Doussin and P. Formenti, 2019: “Evidence of the complexity of aerosol transport in the lower troposphere on the Namibian coast during AEROCLO-sA”, Atmos. Chem. Phys., 19, 14979-15005, https://doi.org/10.5194/acp-19-14979-2019.
     
  39. Chazette, P., J. Totems and X. Shang, 2019: “Transport of aerosols over the French Riviera - Link between ground-based lidar and spaceborne observations”, Atmos. Chem. Phys., 19, 3885-3904, https://doi.org/10.5194/acp-19-3885-2019.
     
  40. Chen, D., N. Cao and S. Yang, 2019: “Impact Analysis of Lower Volcanic Disasters in Hawaii Based on Multi-source Data”, Journal of Natural Disasters [in Chinese; see http://www.cnki.com.cn/Article/CJFDTotal-ZRZH201905018.htm].
     
  41. Chen, Q. X., W.-X. Shen, Y. Yuan and H.-P. Tan, 2019: “Verification of aerosol classification methods through satellite and ground-based measurements over Harbin, Northeast China”, Atmos. Res., 216, 167-175, https://doi.org/10.1016/j.atmosres.2018.09.022.
     
  42. Chen, S., N. Jiang, J. Huang, Z. Zang, X. Guan, X. Ma, Y. Luo, J. Li, X. Zhang and Y. Zhang, 2019: “Estimations of indirect and direct anthropogenic dust emission at the global scale”, Atmos. Environ., 200, 50-60, https://doi.org/10.1016/j.atmosenv.2018.11.063.
     
  43. Chen, W., Y. Zheng, L. Wang, Q. Zheng and T. Lin, 2019: “Properties of Ice Clouds under Different Optical Depth over China based on DARDAR Data”, Plateau Meteorology, 38, 1309-1319, https://doi.org/10.7522/j.issn.1000-0534.2019.00051.
     
  44. Chen, Y., 2019: “Study on Aerosol Optical Characteristics and Changing Trend in Pan-Third Polar Region”, M.S. Thesis, Lanzhou University [in Chinese; see http://cdmd.cnki.com.cn/Article/CDMD-10730-1019874254.htm].
     
  45. Chen, Z. and X. Sun, 2019: “Dynamic spatial fusion of cloud top phase from PARASOL, CALIPSO, CloudSat satellite data”, JQSRT, 224, 176-184, https://doi.org/10.1016/j.jqsrt.2018.11.010.
     
  46. Cheng, Y., T. Dai, D. Goto, N. A. J. Schutgens, G. Shi and T. Nakajima, 2019: “Investigating the assimilation of CALIPSO global aerosol vertical observations using a four-dimensional ensemble Kalman filter”, Atmos. Chem. Phys., 19, 13445-13467, https://doi.org/10.5194/acp-19-13445-2019.
     
  47. Vestnik KRAUNC. Fiz.-Mat. Nauki, 29, 208-217, https://doi.org/10.26117/2079-6641-2019-29-4-208-217.
     
  48. Cheremisin, A. A., V. N. Marichev, P. V. Novikov, A. N. Pavlov, K. A. Shmirko and D. A. Bochkovskii, 2019: “Assessing the Transport of Volcanic Aerosol in the Stratosphere over Tomsk and Vladivostok from Lidar Data”, Russ. Meteorol. Hydrol., 44, 345-354, https://doi.org/10.3103/S1068373919050066.
     
  49. Choi, W., H. Lee, J. Kim, J.-Y. Ryu, S. S. Park, J. Park and H. Kang, 2019: “Effects of spatiotemporal O4 column densities and temperature-dependent O4 absorption cross-section on an aerosol effective height retrieval algorithm using the O4 air mass factor from the ozone monitoring instrument”, Remote Sens. Environ., 229, 223-233. https://doi.org/10.1016/j.rse.2019.05.001.
     
  50. Christian, K., J. Wang, C. Ge, D. Peterson, E. Hyer, J. Yorks and M. McGill, 2019: “Radiative forcing and stratospheric warming of pyrocumulonimbus smoke aerosols: first modeling results with multi-sensor (EPIC, CALIPSO, CATS) views from space”, Geophys. Res. Lett., 46, 10061-10071, https://doi.org/10.1029/2019GL082360.
     
  51. Christiansen, A., V. P. Ghate and A. M. Grover Carlton, 2019: “Aerosol Optical Thickness: Organic Composition, Associated Particle Water, and Aloft Extinction”, ACS Earth Space Chem., 3, 403-412, https://doi.org/10.1021/acsearthspacechem.8b00163.
     
  52. Cigala, V., R. Biondi, A. J. Prata, A. K. Steiner, G. Kirchengast and H. Brenot, 2019: “GNSS Radio Occultation Advances the Monitoring of Volcanic Clouds: The Case of the 2008 Kasatochi Eruption”, Remote Sens., 11, 2199, https://doi.org/10.3390/rs11192199.
     
  53. Clarisse, L., C. Clerbaux, B. Franco, J. Hadji-Lazaro, S. Whitburn, A. K. Kopp, D. Hurtmans and P.-F. Coheur, 2019: “A decadal dataset of global atmospheric dust retrieved from IASI satellite measurements”, J. Geophys. Res. Atmos., 124, 1618-1647, https://doi.org/10.1029/2018JD029701.
     
  54. Conceição, R. F. C., 2019: “Soiling in solar energy conversion technologies: assessment and mitigation”, Departamento de Engenharia Mecatrónica, Universidade de évora, 145 pp. [see http://hdl.handle.net/10174/25527].
     
  55. Dagsson-Waldhauserova, P., J.-B. Renard, H. Olafsson, D. Vignelles, G. Berthet, N. Verdier and V. Duverger, 2019: “Vertical distribution of aerosols in dust storms during the Arctic winter”, Sci. Rep., 9, 16122, https://doi.org/10.1038/s41598-019-51764-y.
     
  56. Dahutia, P., B. Pathak and P. K. Bhuyan, 2019: “Vertical distribution of aerosols and clouds over north-eastern South Asia: Aerosol-cloud interactions”, Atmos. Environ., 215, 116882, https://doi.org/10.1016/j.atmosenv.2019.116882.
     
  57. Dai, T., Y. Cheng, D. Goto, N. A. J. Schutgens, M. Kikuchi, M. Yoshida, G. Shi and T. Nakajima, 2019: “Inverting the East Asian Dust Emission Fluxes Using the Ensemble Kalman Smoother and Himawari-8 AODs: A Case Study with WRF-Chem v3.5.1”, Atmosphere, 10, 543; https://doi.org/10.3390/atmos10090543.
     
  58. Darbyshire, E., W. T. Morgan, J. D. Allan, D. Liu, M. J. Flynn, J. R. Dorsey, S. J. O'Shea, D. Lowe, K. Szpek, F. Marenco, B. T. Johnson, S. Bauguitte, J. M. Haywood, J. F. Brito, P. Artaxo, K. M. Longo, and H. Coe, 2019: “The vertical distribution of biomass burning pollution over tropical South America from aircraft in situ measurements during SAMBBA”, Atmos. Chem. Phys., 19, 5771-5790, https://doi.org/10.5194/acp-19-5771-2019.
     
  59. Deaconu, L. T., N. Ferlay, F. Waquet, F. Peers, F. Thieuleux and P. Goloub, 2019: “Satellite inference of water vapour and above-cloud aerosol combined effect on radiative budget and cloud-top processes in the southeastern Atlantic Ocean”, Atmos. Chem. Phys., 19, 11613-11634, https://doi.org/10.5194/acp-19-11613-2019.
     
  60. de Graaf, M., L. G. Tilstra, and P. Stammes, 2019: “Aerosol direct radiative effect over clouds from a synergy of Ozone Monitoring Instrument (OMI) and Moderate Resolution Imaging Spectroradiometer (MODIS) reflectances”, Atmos. Meas. Tech., 12, 5119-5135, https://doi.org/10.5194/amt-12-5119-2019.
     
  61. de Oliveira, A. M., C. T. Souza, N. P. M. de Oliveira, A. K. S. Melo, F. J. S. Lopes, E. Landulfo, H. Elbern and J. J. Hoelzemann, 2019: “Analysis of Atmospheric Aerosol Optical Properties in the Northeast Brazilian Atmosphere with Remote Sensing Data from MODIS and CALIOP/CALIPSO Satellites, AERONET Photometers and a Ground-Based Lidar”, Atmosphere, 10, 594, https://doi.org/10.3390/atmos10100594.
     
  62. Deroubaix, A., L. Menut, C. Flamant, J. Brito, C. Denjean, V. Dreiling, A. Fink, C. Jambert, N. Kalthoff, P. Knippertz, R. Ladkin, S. Mailler, M. Maranan, F. Pacifico, B. Piguet, G. Siour and S. Turquety, 2019: “Diurnal cycle of coastal anthropogenic pollutant transport over southern West Africa during the DACCIWA campaign”, Atmos. Chem. Phys., 19, 473-497, https://doi.org/10.5194/acp-19-473-2019.
     
  63. Dietlicher, R., D. Neubauer and U. Lohmann, 2019: “Elucidating ice formation pathways in the aerosol-climate model ECHAM6-HAM2”, Atmos. Chem. Phys., 19, 9061-9080, https://doi.org/10.5194/acp-19-9061-2019.
     
  64. Dolinar, E. K., X. Dong, B. Xi, J. H. Jiang, N. G. Loeb, J. R. Campbell and H. Su, 2019: “A global record of single-layered ice cloud properties and associated radiative heating rate profiles from an A-Train perspective”, Clim. Dynam., 53, 3069-3088, https://doi.org/10.1007/s00382-019-04682-8.
     
  65. Douglas, A. and T. L’Ecuyer, 2019: “Quantifying variations in shortwave aerosol-cloud-radiation interactions using local meteorology and cloud state constraints”, Atmos. Chem. Phys., 19, 6251-6268, https://doi.org/10.5194/acp-19-6251-2019.
     
  66. Dumka, U. C., D. G. Kaskaoutis, D. Francis, J.-P. Chaboureau, A. Rashki, S. Tiwari, S. Singh, E. Liakakou and N. Mihalopoulos, 2019: “The Role of the Intertropical Discontinuity Region and the Heat Low in Dust Emission and Transport Over the Thar Desert, India: A Premonsoon Case Study”, J. Geophys. Res. Atmos., 124, 13197-13219, https://doi.org/10.1029/2019JD030836.
     
  67. Duran-Alarcon, C., 2019: “Ground-based remote sensing of Antarctic and Alpine solid precipitation”, Institut des G′eosciences de l′Environnement. Université Grenoble Alpes, 144 pp. [see https://www.theses.fr/2019GREAU024].
     
  68. Eguchi, N. and Y. Yoshida, 2019: “A high-level cloud detection method utilizing the GOSAT TANSO-FTS water vapor saturated band”, Atmos. Meas. Tech., 12, 389-403, https://doi.org/10.5194/amt-12-389-2019.
     
  69. Eldering, A., T. E. Taylor, C. W. O’Dell and R. Pavlick, 2019: “The OCO-3 mission: measurement objectives and expected performance based on 1 year of simulated data”, Atmos. Meas. Tech., 12, 2341-2370, https://doi.org/10.5194/amt-12-2341-2019.
     
  70. Eliasson, S., K. G. Karlsson, E. van Meijgaard, J. F. Meirink, M. Stengel, and U. Willén, 2019: “The Cloud_cci simulator v1.0 for the Cloud_cci climate data record and its application to a global and a regional climate model”, Geosci. Model Dev., 12, 829-847, https://doi.org/10.5194/gmd-12-829-2019.
     
  71. Eswaran, K., S. K. Satheesh and J. Srinivasan, 2019: “Multi-satellite retrieval of single scattering albedo using the OMI-MODIS algorithm”, Atmos. Chem. Phys., 19, 3307-3324, https://doi.org/10.5194/acp-19-3307-2019.
     
  72. Evangeliou, N., A. Kylling, S. Eckhardt, V. Myroniuk, K. Stebel, R. Paugam, S. Zibtsev and A. Stohl, 2019: “Open fires in Greenland in summer 2017: transport, deposition and radiative effects of BC, OC and BrC emissions”, Atmos. Chem. Phys., 19, 1393-1411, https://doi.org/10.5194/acp-19-1393-2019.
     
  73. Fadnavis, S., T. P. Sabin, C. Roy, M. Rowlinson, A. Rap, J.-P. Vernier and C. E. Sioris, 2019: “Elevated aerosol layer over South Asia worsens the Indian droughts”, Sci. Rep., 9, 10268, https://doi.org/10.1038/s41598-019-46704-9.
     
  74. Fadnavis, S., G. Kalita, M. Rowlinson, A. Rap, J.-L. F. Li, B. Gasparini, A. Laakso and R. Müller, 2019: “The impact of increases in South Asian anthropogenic emissions of SO2 on sulfate loading in the upper troposphere and lower stratosphere during the monsoon season and the associated radiative impact”, Atmos. Chem. Phys., 19, 9989-10008, https://doi.org/10.5194/acp-19-9989-2019.
     
  75. Fan, S., P. Ginoux, C. J. Seman, L. G. Silvers and M. Zhao, 2019: “Towards Improved Cloud-Phase Simulation with a Mineral Dust and Temperature-Dependent Parameterization for Ice Nucleation in Mixed-Phase Clouds”, J. Atmos. Sci., 76, 3655-3667, https://doi.org/10.1175/JAS-D-18-0287.1.
     
  76. Filioglou, M., T. Mielonen, D. Balis, E. Giannakaki, A. Arola, H. Kokkola, M. Komppula and S. Romakkaniemi, 2019: “Aerosol effect on the cloud phase of low-level clouds over the Arctic”, J. Geophys. Res. Atmos., 124, 7886-7899, https://doi.org/10.1029/2018JD030088.
     
  77. Foth, A., T. Kanitz, R. Engelmann, H. Baars, M. Radenz, P. Seifert, B. Barja, H. Kalesse, and A. Ansmann, 2019: “Vertical aerosol distribution in the Southern hemispheric Midlatitudes as observed with lidar at Punta Arenas, Chile (53.2° S and 70.9° W) during ALPACA”, Atmos. Chem. Phys., 19, 6217-6233, https://doi.org/10.5194/acp-19-6217-2019.
     
  78. Filonchyk, M., H. Yan, T. M. E. Shareef and S. Yang, 2019: “Aerosol contamination survey during dust storm process in Northwestern China using ground, satellite observations and atmospheric modeling data”, Theor. Appl. Climatol., 135, 119-133, https://doi:10.1007/s00704-017-2362-8.
     
  79. Flowers, L. Chao and B. Zhang, 2019: “Comparative analysis of transmission characteristics of two dust processes affecting Beijing”, Chinese Desert, 39, 99-107 [in Chinese; see http://www.cnki.com.cn/Article/CJFDTotal-ZGSS20190320001.htm].
     
  80. Francis, D., C. Eayrs, J. Cuesta and D. Holland, 2019: “Polar Cyclones at the Origin of the Reoccurrence of the Maud Rise Polynya in Austral Winter 2017”, J. Geophys. Res. Atmos., 124, 5251-5267, https://doi.org/10.1029/2019JD030618.
     
  81. Francis, D., N. Alshamsi, J. Cuesta, A. G. Isik and C. Dundar, 2019: “Cyclogenesis and Density Currents in the Middle East and the Associated Dust Activity in September 2015”, Geosciences, 9, 376, https://doi.org/10.3390/geosciences9090376.
     
  82. Frey, L., “Aerosol-cloud-radiation interactions in global climate models”, Ph.D. Thesis, Department of Meteorology, Stockholm University, 58 pp. [see http://www.diva-portal.org/smash/record.jsf?pid=diva2%3A1307747&dswid=5841].
     
  83. Fromm, M., D. Peterson and L. Di Girolamo, 2019: “The primary convective pathway for observed wildfire emissions in the upper troposphere and lower stratosphere: a targeted reinterpretation”, J. Geophys. Res. Atmos., 124, 13254-13272, https://doi.org/10.1029/2019JD031006.
     
  84. Fu, S., C. Xie, P. Zhuang, X. Tian, Z. Zhang, B. Wang and D. Liu, 2019: “Study of Persistent Foggy-Hazy Composite Pollution in Winter over Huainan Through Ground-Based and Satellite Measurements”, Atmosphere, 10, 656, https://doi.org/10.3390/atmos10110656.
     
  85. Galin, V. Y. and V. P. Dymnikov, 2019: “Dynamic-Stochastic Parametrization of Cloudiness in the General Circulation Model of the Atmosphere”, Izv. Atmos. Ocean Phy., 55, 381-385, https://doi.org/10.1134/S0001433819050062.
     
  86. Gao, Y., 2019: “The Impact of Organic Aerosol Volatility on Particle Microphysics and Global Climate”, Ph.D. Thesis, Columbia University, 120 pp., https://doi.org/10.7916/d8-yy8j-j473.
     
  87. Gasparini, B., P. N. Blossey, D. L. Hartmann, G. Lin anf J. Fan, 2019: “What drives the life cycle of tropical anvil clouds?”, JAMES, 11, 2586-2605, https://doi.org/10.1029/2019MS001736.
     
  88. Gharibzadeh, M., K. Alam, Y. Abedini, A. A. Bidokhti, A. Masoumi, H. Bibi and B. Zeb, 2019: “Climatological analysis of the optical properties of aerosols and their direct radiative forcing in the Middle East”, J. Atmos. Sol.-Terr. Phy., 183, 86-98, https://doi.org/10.1016/j.jastp.2019.01.002.
     
  89. Ghosh, A., A. Roy, A. Chatterjee, S. K. Das, S. K. Ghosh and S. Raha, 2019: “Impact of Biomass Burning Plumes on the Size-segregated Aerosol Chemistry over an Urban Atmosphere at Indo-Gangetic Plain”, Aerosol Air. Qual. Res., 9, 163-180, https://doi.org/10.4209/aaqr.2017.12.0590.
     
  90. Gogoi, M. M., N. B. Lakshmi, V. S. Nair, S. K. Kompalli, K. K. Moorthy and S. S. Babu, 2019: “Seasonal contrast in the vertical profiles of aerosol number concentrations and size distributions over India: Implications from RAWEX aircraft campaign”, J. Earth Syst. Sci., 128:225, https://doi.org/10.1007/s12040-019-1246-y.
     
  91. Gomis-Cebolla, J., 2019: “Land surface temperature and evapotranspiration estimation in the Amazon evergreen forests using remote sensing data”, Ph.D. Thesis, Departament de Física de la Terra i Termodinàmica, University of Valencia, 304 pp. [see https://hdl.handle.net/10550/72479].
     
  92. Gonzalez-Alonso, L., M. Val Martin and R. A. Kahn, 2019: “Biomass burning smoke heights over the Amazon observed from space”, Atmos. Chem. Phys., 19, 1685-1702, https://doi.org/10.5194/acp-19-1685-2019.
     
  93. Granados-Muñoz, M. J., M. Sicard, N. Papagiannopoulos, R. Barragán, J. A. Bravo-Aranda and D. Nicolae, 2019: “Two-dimensional mineral dust radiative effect calculations from CALIPSO observations over Europe”, Atmos. Chem. Phys., 19, 13157-13173, https://doi.org/10.5194/acp-19-13157-2019.
     
  94. Gristey, J. J., J. C. Chiu, R. J. Gurney, K. P. Shine, S. Havemann, J.-C. Thelen and P. G. Hill, 2019: “Short-wave spectral radiative signatures and their physical controls”, J. Climate, 32, 4805-4828, https://doi.org/10.1175/JCLI-D-18-0815.1.
     
  95. Gruber, S., 2019: “Contrails and Climate Engineering - Process Studies on Natural and Artificial High-Level Clouds and Their Impact on the Radiative Fluxes”, Ph.D. Thesis, Department of Physics, Karlsruhe Institute of Technology, 251 pp. [see https://d-nb.info/1177147173/34].
     
  96. Gruber, S., U. Blahak, F. Haenel, C. Kottmeier, T. Leisner, H. Muskatel, T. Storelvmo and B. Vogel, 2019: “A Process Study on Thinning of Arctic Winter Cirrus Clouds With High-Resolution ICON-ART Simulations”, J. Geophys. Res. Atmos., 124, 5860-5888, https://doi.org/10.1029/2018JD029815.
     
  97. Guedes, A. G., 2019: “Characterization of Saharan dust aerosol transport over Natal-RN through the lidar depolarization technique”, Ph.D. Thesis, Center for Exact and Earth Sciences, Federal University of Rio Grande do Norte, Natal, 164 pp. [in Portuguese; see https://repositorio.ufrn.br/jspui/handle/123456789/27386].
     
  98. Guo, J., H. Xu, L. Liu, D. Chen, Y. Peng, S. H.-L. Yim, Y. Yang, J. Li, C. Zhao and P. Zhai, 2019: “The trend reversal of dust aerosol over East Asia and the North Pacific Ocean attributed to large-scale meteorology, deposition and soil moisture”, J. Geophys. Res. Atmos., 124, 10450-10466, https://doi.org/10.1029/2019JD030654.
     
  99. Guo, P., S. Yu, L. Wang, P. Li, Z. Li, K. Mehmood, X. Chen, W. Liu, Y. Zhu, X. Yu, K. Alapaty, E. Lichtfouse, D. Rosenfeld and J. H. Seinfeld, 2019: “High-altitude and long-range transport of aerosols causing regional severe haze during extreme dust storms explains why afforestation does not prevent storms”, Environ. Chem. Lett., 17, 1333-1340, https://doi.org/10.1007/s10311-019-00858-0.
     
  100. Guo, Z., M. Wang, V. E. Larson and T. Zhou, 2019: “A cloud-top radiative cooling model coupled with CLUBB in the Community Atmosphere Model: Description and Simulation of low clouds”, JAMES, 11, 979-997, https://doi.org/10.1029/2018MS001505.
     
  101. Gutleben, M., S. Groß, M. Wirth, C., Emde and B. Mayer, 2019: “Impacts of Water Vapor on Saharan Air Layer Radiative Heating”, Geophys. Res. Lett., 46, 14854-14862, https://doi.org/10.1029/2019GL085344.
     
  102. Haggerty, J., E. Defer, A. de Laat, K. Bedka, J. Moisselin, R. Potts, J. Delanoë, F. Parol, A. Grandin, and S. DiVito, 2019: “Detecting Clouds Associated with Jet Engine Ice Crystal Icing”, B. Am. Meteorol. Soc., 100, 31-40, https://doi.org/10.1175/BAMS-D-17-0252.1.
     
  103. Han, B., Y. T. Morton, E. Gunawan and D. Xu, 2019: “Planetary Boundary Layer Height Detection Using Mountaintop-Based GNSS Radio Occultation Signal Amplitude”, IEEE Trans. Geosci. Remote Sens., 57, 4332-4348, https://doi.org/10.1109/TGRS.2018.2890676.
     
  104. Hang, Y., T. S. L’Ecuyer, D. S. Henderson, A. V. Matus and Z. Wang, 2019: “Reassessing the Effect of Cloud Type on Earth’s Energy Balance in the Age of Active Spaceborne Observations. Part II: Atmospheric Heating”, J. Climate, 32, 6219-6236, https://doi.org/10.1175/JCLI-D-18-0754.1.
     
  105. He, M., Y. Hu, N. Chen, D. Wang, J. Huang and K. Stamnes, 2019: “High cloud coverage over melted areas dominates the impact of clouds on the albedo feedback in the Arctic”, Sci. Rep., 9, 9529, https://doi.org/10.1038/s41598-019-44155-w.
     
  106. He, Q., X. Zheng, J. Li, W. Gao, Y. Wang, T. Cheng, J. Pu, J. Liu and C. Li, 2019: “The role of ASM on the formation and properties of cirrus clouds over the Tibetan Plateau”, Tellus B, 71, 1-14, https://doi.org/10.1080/16000889.2019.1577070.
     
  107. Hedelt, P., D. S. Efremenko, D. G. Loyola, R. Spurr, and L. Clarisse, 2109: “Sulfur dioxide layer height retrieval from Sentinel-5 Precursor/TROPOMI using FP_ILM”, Atmos. Meas. Tech., 12, 5503-5517, https://doi.org/10.5194/amt-12-5503-2019.
     
  108. Heidinger, A. K., N. Bearson, M. J. Foster, Y. Li, S. Wanzong, S. Ackerman, R. E. Holz, S. Platnick and K. Meyer, 2019: “Using Sounder Data to Improve Cirrus Cloud Height Estimation from Satellite Imagers”, J. Atmos. Oceanic Technol., 36, 1331-1342, https://doi.org/10.1175/JTECH-D-18-0079.1.
     
  109. Hoshyaripour, G. A., V. Bachmann, J. FÖrstner, A. Steiner, H. Vogel, F. Wagner, C. Walter and B. Vogel, 2019: “Effects of Particle Nonsphericity on Dust Optical Properties in a Forecast System: Implications for Model-Observation Comparison”, J. Geophys. Res. Atmos., 124, 7164-7178, https://doi.org/10.1029/2018JD030228.
     
  110. Hourdin, F., A. Jam, C. Rio, F. Couvreux, I. Sandu, M.-P. Lefebvre, F. Brient and A. Idelkadi, 2019: “Unified Parameterization of Convective Boundary Layer Transport and Clouds with the Thermal Plume Model”, JAMES, 11, 2910-2933, https://doi.org/10.1029/2019MS001666.
     
  111. Hu, L., Z. Sun, D. Deng and G. Roff, 2019: “Evaluation of Summer Monsoon Clouds over the Tibetan Plateau Simulated in the ACCESS Model Using Satellite Products”, Adv. Atmos. Sci., 36, 326-338, https://doi.org/10.1007/s00376-018-7301-9.
     
  112. Hu, Q., P. Goloub, I. Veselovskii, J.-A. Bravo-Aranda, I. Popovici, T. Podvin, M. Haeffelin, A. Lopatin, C. Pietras, X. Huang, B. Torres, and C. Chen, 2019: “Long-range-transported Canadian smoke plumes in the lower stratosphere over northern France”, Atmos. Chem. Phys., 19, 1173-1193, https://doi.org/10.5194/acp-19-1173-2019.
     
  113. Huang, C.-C., S.-H. Chen, Y.-C. Lin, K. Earl, T. Matsui, H.-H. Lee, I-C. Tsai, J.-P. Chen and C.-T. Cheng, 2019: “Impacts of Dust-Radiation versus Dust-Cloud Interactions on the Development of a Modeled Mesoscale Convective System over North Africa”, Mon. Wea. Rev., 147, 3301-3326, https://doi.org/10.1175/MWR-D-18-0459.1.
     
  114. Huang, Y., S. Siems, M. Manton, A. Protat, L. Majewski and H. Nguyen, 2019: “Evaluating Himawari-8 Cloud Products Using Shipborne and CALIPSO Observations: Cloud-top Height and Cloud-top Temperature”, J. Atmos. Oceanic Technol., 36, 2327-2347, https://doi.org/10.1175/JTECH-D-18-0231.1.
     
  115. Hutchison, K. and B. D. Iisager, 2019: “Creating Truth Data to Quantify the Accuracy of Cloud Forecasts from Numerical Weather Prediction and Climate Models”, Atmosphere, 10, 177, https://doi.org/10.3390/atmos10040177.
     
  116. Iwasaki, S., T. Seguchi, H. Okamoto, K. Sato, S. Katagiri, M. Fujiwara, T. Shibata, K. Tsuboki, T. Ono and T. Sugidachi, 2019: “Large-and-Sparse-particle Clouds (LSC): Clouds which are subvisible for space-borne lidar and observable for space-borne cloud radar”, Polar Sci., 21, 117-123, https://doi.org/10.1016/j.polar.2019.05.003.
     
  117. Izeboud, M., 2019: “Cloud Radiative Impact on Antarctic Ice Shelves”, M.S. Thesis, Delft University of Technology, 80 pp. [see http://resolver.tudelft.nl/uuid:6b613527-92bc-4b17-aa37-82b2d25800f9].
     
  118. Jain, C. D., B. L. Madhavan and M. V. Ratnam, 2019: “Source apportionment of rainwater chemical composition to investigate the transport of lower atmospheric pollutants to the UTLS region”, Environ. Pollut., 248, 166-174, https://doi.org/10.1016/j.envpol.2019.02.007.
     
  119. Jary, 2019: “Study on the Source, Transport and Radiation Effect of Aerosols over the Tibetan Plateau”, Ph.D. Thesis, Lanzhou University [in Chinese; see http://cdmd.cnki.com.cn/Article/CDMD-10730-1019873310.htm].
     
  120. Ji, S. and C. Nianwen, 2019: “Accurate inversion of tropospheric aerosol extinction coefficient profile by Mie-Raman lidar”, Optik, 184, 153-164, https://doi.org/10.1016/j.ijleo.2018.12.151.
     
  121. Jia, R., Y. Liu, C. Wu, Q. Zhu and B. Wang, 2019: “Three-dimensional Distribution and Transport Process of Dust Aerosols over China from 2007 to 2017”, Journal of Desert Research, 39, 108-117 [in Chinese; see http://www.desert.ac.cn/CN/Y2019/V39/I6/108].
     
  122. Jia, R., M. Luo, Y. Liu, Q. Zhu, S. Hua, C. Wu and T. Shao, 2019: “Anthropogenic Aerosol Pollution over the Eastern Slope of the Tibetan Plateau”, Adv. Atmos. Sci., 36, 847-862, https://doi.org/10.1007/s00376-019-8212-0.
     
  123. Jiskoot, H., T. Harvey and T. R. Nielsen, 2019: “MODIS-Derived Arctic Melt Season Fog and Low Stratus over East Greenland Glaciers and the Ice Sheet”, Can. J. Remote Sens., https://doi.org/10.1080/07038992.2019.1635878.
     
  124. Johansson, E., 2019: “Improving the understanding of cloud radiative heating”, Ph.D. Thesis, Department of Meteorology, Stockholm University, 36 pp. [see http://www.diva-portal.org/smash/record.jsf?pid=diva2%3A1363038].
     
  125. Johansson, E., A. Devasthale, A. M. L. Ekman, M. TjernstrÖm and T. L’Ecuyer, 2019: “How does cloud overlap affect the radiative heating in the tropical upper troposphere/lower stratosphere?”, Geophys. Res. Lett., 46, 5623-5631, https://doi.org/10.1029/2019GL082602.
     
  126. Johansson, S., 2019: “Analysis of the unusually cold Arctic winter 2015/16 lowermost stratosphere by airborne and satellite observations and atmospheric models”, Ph.D. Thesis, Faculty of Physics, Karlsruhe Institute of Technology (KIT), 136 pp. [see https://d-nb.info/1178528138/34].
     
  127. Johansson, S., M. L. Santee, J.-U. Grooß, M. HÖpfner, M. Braun, F. Friedl-Vallon, F. Khosrawi, O. Kirner, E. Kretschmer, H. Oelhaf, J. Orphal, B.-M. Sinnhuber, I. Tritscher, J. Ungermann, K. A. Walker and W. Woiwode, 2019: “Unusual chlorine partitioning in the 2015/16 Arctic winter lowermost stratosphere: Observations and simulations”, Atmos. Chem. Phys., 19, 8311-8338, https://doi.org/10.5194/acp-19-8311-2019.
     
  128. Juliano, T. W., Z. J. Lebo, G. Thompson and D. A. Rahn, 2019: “A New Perspective on Coastally Trapped Disturbances Using Data from the Satellite Era”, B. Am. Meteorol. Soc., 631-651, https://doi.org/10.1175/BAMS-D-18-0002.1.
     
  129. Jung, J., A. H. Souri, D. C. Wong, S. Lee, W. Jeon, J. Kim and Y. Choi, 2019: “The impact of the direct effect of aerosols on meteorology and air quality using aerosol optical depth assimilation during the KORUS-AQ campaign”, J. Geophys. Res. Atmos., 124, 8303-8319, https://doi.org/10.1029/2019JD030641.
     
  130. Kacenelenbogen, M., M. Vaughan, J. Redemann, S. Young, Z. Liu, Y. Hu, A. Omar, S. LeBlanc, Y. Shinozuka, J. Livingston, Q. Zhang and K. Powell, 2019: “Estimations of Global Shortwave Direct Aerosol Radiative Effects Above Opaque Water Clouds Using a Combination of A-Train Satellite Sensors”, Atmos. Chem. Phys., 19, 4933-4962, https://doi.org/10.5194/acp-19-4933-2019.
     
  131. Kablick, G. P. III, 2019: “The Pyroconvective Pathway for Stratospheric Water Vapor and Aerosol”, Ph.D. Thesis, Atmospheric and Oceanic Sciences, University of Maryland, 141 pp. [see https://doi.org/10.13016/9wle-ns3c].
     
  132. Kahnert, M. and R. Scheirer, 2019: “Multiple scattering by aerosols as seen from CALIPSO - a Monte-Carlo modelling study”, Opt. Express, 27, 33683-33699, https://doi.org/10.1364/OE.27.033683.
     
  133. Kar, J., K.-P. Lee, M. A. Vaughan, J. L. Tackett, C. R. Trepte, D. M. Winker, P. L. Lucker and B. J. Getzewich, 2019: “CALIPSO Level 3 Stratospheric Aerosol Product: Version 1.00 Algorithm Description and Initial Assessment”, Atmos. Meas. Tech., 12, 6173-6191, https://doi.org/10.5194/amt-12-6173-2019.
     
  134. Karami, S., N. H. Hamzeh, F. Noori and A. Ranjbar, 2019: “Investigation of dust storms in Ilam and the performance analysis of simulation of 6 numerical prediction models at a severe dust storm in west of Iran”, Journal of Air Pollution and Health, 4, 133-146, https://doi.org/10.18502/japh.v4i2.1237.
     
  135. Kaskaoutis, D. G., A. Rashki, U. C. Dumka, A. Mofidi, H. D. Kambezidis, B. E. Psiloglou, D. Karagiannis, K. Petrinoli and A. Gavriil, 2019: “Atmospheric dynamics associated with exceptionally dusty conditions over the eastern Mediterranean and Greece in March 2018”, Atmos. Res., 218, 269-284, https://doi.org/10.1016/j.atmosres.2018.12.009.
     
  136. Kato, S., F. G. Rose, S. H. Ham, D. A. Rutan, A. Radkevich, T. E. Caldwell, S. Sun-Mack, W. F. Miller and Y. Chen, 2019: “Radiative Heating Rates Computed with Clouds Derived from Satellite-based Passive and Active Sensors and their Effects on Generation of Available Potential Energy”, J. Geophys. Res. Atmos., 124, 1720-1740, https://doi.org/10.1029/2018JD028878.
     
  137. Keita, S. A., E. Girard, J.-C. Raut, J. Pelon, J.-P. Blanchet, O. Lemoine and T. Onishi, 2019: “Simulating Arctic Ice Clouds during Spring Using an Advanced Ice Cloud Microphysics in the WRF Model”, Atmosphere, 10, 433, https://doi.org/10.3390/atmos10080433.
     
  138. Kganyago, M. and L. Shikwambana, 2019: “Assessing Spatio-Temporal Variability of Wildfires and their Impact on Sub-Saharan Ecosystems and Air Quality Using Multisource Remotely Sensed Data and Trend Analysis”, Sustainability, 11, 6811, https://doi.org/10.3390/su11236811.
     
  139. Khanal, S., 2019: “Evaluation and Improvement of the MODIS Liquid Water Path Retrievals Using A-train Satellite and Ground-based Remote Sensing Measurements and Radiative Transfer Modelling”, University of Wyoming, ISBN:9781085598262 [see https://ui.adsabs.harvard.edu/abs/2019PhDT........52K/abstract].
     
  140. Kikuchi M. and K. Suzuki, 2019: “Characterizing Vertical Particle Structure of Precipitating Cloud System from Multi-platform Measurements of A-Train Constellation”, Geophys. Res. Lett., 46, 1040-1048, https://doi.org/10.1029/2018GL081244.
     
  141. Kim, D., M. Chin, H. Yu, X. Pan, H. Bian, Q. Tan, R. A. Kahn, K. Tsigaridis, S. E. Bauer, T. Takemura, L. Pozzoli, N. Bellouin and M. Schulz, 2019: Asian and trans-Pacific Dust: “A multi-model and multi-remote sensing observation analysis”, J. Geophys. Res. Atmos., 124, 13534-13559, https://doi.org/10.1029/2019JD030822.
     
  142. Kim, H.-S., B. A. Baum and Y.-S. Choi, 2019: “Use of spectral cloud emissivities and their related uncertaintiesto infer ice cloud boundaries: Methodology and assessment using CALIPSO cloud products”, Atmos. Meas. Tech., 12, 5039-5054, https://doi.org/10.5194/amt-12-5039-2019.
     
  143. Kinne, S., 2019: “The MACv2 aerosol climatology”, Tellus B, 71, 1-21, https://doi.org/10.1080/16000889.2019.1623639.
     
  144. Kloss, C., G. Berthet, P. Sellitto, F. Ploeger, S. Bucci, S. Khaykin, F. Jégou, G. Taha, L. W. Thomason, B. Barret, E. Le Flochmoen, M. von Hobe, A. Bossolasco, N. Bègue and B. Legras, 2019: “Transport of the 2017 Canadian wildfire plume to the tropics via the Asian monsoon circulation”, Atmos. Chem. Phys., 19, 13547-13567, https://doi.org/10.5194/acp-19-13547-2019.
     
  145. Korras-Carraca, M. B., V. Pappas, N. Hatzianastassiou, I. Vardavas and C. Matsoukas, 2019: “Global vertically resolved aerosol direct radiation effect from three years of CALIOP data using the FORTH radiation transfer model”, Atmos. Res., 224, 138-156, https://doi.org/10.1016/j.atmosres.2019.03.024.
     
  146. Kramer, R. J., A. V. Matus, B. J. Soden and T. S. L’Ecuyer, 2019: “Observation-based radiative kernels from CloudSat/CALIPSO”, J. Geophys. Res. Atmos., 124, 5431-5444, https://doi.org/10.1029/2018JD029021.
     
  147. Kretzschmar, J., M. Salzmann, J. Mülmenstädt and J. Quaas, 2019: “Arctic clouds in ECHAM6 and their sensitivity to cloud microphysics and surface fluxes”, Atmos. Chem. Phys., 19, 10571-10589, https://doi.org/10.5194/acp-19-10571-2019.
     
  148. Kukulies, J., D. Chen and M. Wang, 2019: “Temporal and spatial variations of convection and precipitation over the Tibetan Plateau based on recent satellite observations. Part I: Cloud climatology derived from CloudSat and CALIPSO”, Int. J. Climatol., 39, 5396-5412, https://doi.org/10.1002/joc.6162.
     
  149. Kumar, A., N. Singh and A. Singh, 2019: “Observations on the distribution of clouds over northern India using joint CloudSat and CALIPSO measurements”, Remote Sens. Lett., 10, 590-597, https://doi.org/10.1080/2150704X.2019.1587198.
     
  150. Kumar, K. N., D. V. Phanikumar, S. Sharma, G. Basha, M. Naja, T. B. M. J. Ouarda, M. V. Ratnam, K. K. Kumar, 2019: “Influence of tropical-extratropical interactions on the dynamics of extreme rainfall event: A case study from Indian region”, Dynam. Atmos. Oceans, 85, 28-40, https://doi.org/10.1016/j.dynatmoce.2018.12.002.
     
  151. Lakshmi, N. B., S. S. Babu and V. S. Nair, 2019: “Recent Regime Shifts in Mineral Dust Trends Over South Asia From Long-Term CALIPSO Observations”, IEEE Trans. Geosci. Remote Sens., 57, 4485-4489, https://doi.org/10.1109/TGRS.2019.2891338.
     
  152. L’Ecuyer, T. S., Y. Hang, A. V. Matus and Z. Wang, 2019: “Reassessing the effect of cloud type on Earth’s energy balance in the age of active spaceborne observations. Part I: Top-of-atmosphere and surface”, J. Climate, 32, 6197-6217, https://doi.org/10.1175/JCLI-D-18-0753.1.
     
  153. Lee, K.-O., T. Dauhut, J.-P. Chaboureau, S. Khaykin, M. Krämer, and C. Rolf, 2019: “Convective hydration in the tropical tropopause layer during the StratoClim aircraft campaign: Pathway of an observed hydration patch”, Atmos. Chem. Phys., 19, 11803-11820, https://doi.org/10.5194/acp-19-11803-2019.
     
  154. Lee, L., J. Zhang, J. S. Reid, and J. E. Yorks, 2019: “Investigation of CATS aerosol products and application toward global diurnal variation of aerosols”, Atmos. Chem. Phys., 19, 12687-12707, https://doi.org/10.5194/acp-19-12687-2019.
     
  155. Lee, W.-L., J.-L. F. Li, K.-M. Xu, E. Suhas, J. H. Jiang, Y.-H. Wang, G. Stephens, E. Fetzer, and J.-Y. Yu, 2019: “Relating Precipitating Ice Radiative Effects to Surface Energy Balance and Temperature Biases over the Tibetan Plateau in Winter”, J. Geophys. Res. Atmos., 124, 12455-12467, https://doi.org/10.1029/2018JD030204.
     
  156. LeGrand, S. L., C. Polashenski, T. W. Letcher, G. A. Creighton, S. E. Peckham, and J. D. Cetola, 2019: “The AFWA dust emission scheme for the GOCART aerosol model in WRF-Chem v3.8.1”, Geosci. Model Dev., 12, 131-166, https://doi.org/10.5194/gmd-12-131-2019.
     
  157. Lei, L., 2019: “Planetary Boundary Layer Height and Ozone Measurement Techniques”, Ph.D. Thesis, Department of Atmospheric Sciences, Hampton University [see https://search.proquest.com/openview/59d8ad68c6e1ced1d4883329ae2ec7aa/1].
     
  158. Li, C., J. Ma, P. Yang and Z. Li, 2019: “Detection of cloud cover using dynamic thresholds and radiative transfer models from the Polarization Satellite Image”, JQSRT, 222-223, 196-214, https://doi.org/10.1016/j.jqsrt.2018.10.026.
     
  159. Li, S., L. Zhang, K. Cai, W. Ge and X. Zhang, 2019: “Comparisons of the vertical distributions of aerosols in the CALIPSO and GEOS-Chem datasets in China”, Atmos. Environ. X, 3, 100036, https://doi.org/10.1016/j.aeaoa.2019.100036.
     
  160. Li, W., E. Ali, I. A. El-Magd, M. M. Mourad and H. El-Askary, 2019: “Studying the Impact on Urban Health over the Greater Delta Region in Egypt Due to Aerosol Variability Using Optical Characteristics from Satellite Observations and Ground-Based AERONET Measurements”, Remote Sens., 11, 1998, https://doi.org/10.3390/rs11171998.
     
  161. Li, W., L. Dong and S. Khan, 2019: “Environmental Study on Contribution Rates of Aerosol Scale Height and Humidity in PM2.5 Inversion Based on Calipso Data”, Ekoloji, 28, 1185-1197 [see http://www.ekolojidergisi.com/article/environmental-study-on-contribution-rates-of-aerosol-scale-height-and-humidity-in-pm25-inversion-5739].
     
  162. Li, W., W. Wang, Y. Zhou, Y. Ma, D. Zhang and L. Sheng, 2019: “Occurrence and Reverse Transport of Severe Dust Storms Associated with Synoptic Weather in East Asia”, Atmosphere, 10, 4, https://doi.org/10.3390/atmos10010004.
     
  163. Lima, C. B., S. S. Prijith, M. V. R. Sesha Sai, P. V. N. Rao, K. Niranjan, M. V. Ramana, 2019: “Retrieval and Validation of Cloud Top Temperature from the Geostationary Satellite INSAT-3D”, Remote Sens., 11, 2811, https://doi.org/10.3390/rs11232811.
     
  164. Listowski, C., J. Delanoë, A. Kirchgaessner, T. Lachlan-Cope and J. King, 2019: “Antarctic clouds, supercooled liquid water and mixed phase, investigated with DARDAR: geographical and seasonal variations”, Atmos. Chem. Phys., 19, 6771-6808, https://doi.org/10.5194/acp-19-6771-2019.
     
  165. Liu, C., L. Yang, H. Che, X. Xia, H. Zhao, H. Wang, K. Gui, Y. Zheng, T. Sun, X. Li, Z. Sheng, H. Wang, X. Lu and X. Zhang, 2019: “Aerosol Optical Properties over an Urban Site in Central China Determined Using Ground-based Sun Photometer Measurements”, Aerosol Air. Qual. Res., 19, 620-638, https://doi.org/10.4209/aaqr.2018.05.0185.
     
  166. Liu, D., S. Chen, C. Cheng, H. W. Barker, C. Dong, J. Ke, S. Wang and Z. Zheng, 2019: “Analysis of Global Three-Dimensional Aerosol Structure with Spectral Radiance Matching”, Atmos. Meas. Tech., 12, 6541-6556, https://doi.org/10.5194/amt-12-6541-2019.
     
  167. Liu, D., T. Zhao, R. Boiyo, S. Chen, Z. Lu, Y. Wu and Y. Zhao, 2019: “Vertical Structures of Dust Aerosols over East Asia Based on CALIPSO Retrievals”, Remote Sens., 11, 701, https://doi.org/10.3390/rs11060701.
     
  168. Liu, D., Z. Zheng, W. Chen, Z. Wang, W. Li, J. Ke, Y. Zhang, S. Chen, C. Cheng and S. Wang, 2019: “Performance estimation of space-borne high-spectral-resolution lidar for cloud and aerosol optical properties at 532 nm”, Opt. Express, 27, A481-A494, https://doi.org/10.1364/OE.27.00A481.
     
  169. Liu, H., Y. Chen, S. Zhang, J. Ding, X. Deng and X. Liu, 2019: “Spatial and Temporal Characteristics of Cirrus Clouds over the Tibetan Plateau Based on CALIPSO and AIRS Observations”, Advances in Meteorology, 2019, 6989648, https://doi.org/10.1155/2019/6989648.
     
  170. Liu, M., J. Lin, K. F. Boersma, G. Pinardi, Y. Wang, J. Chimot, T. Wagner, P. Xie, H. Eskes, M. Van Roozendael, F. Hendrick, P. Wang, and Y. Yan, 2019: “Improved aerosol correction for OMI tropospheric NO2 retrieval over East Asia: constraint from CALIOP aerosol vertical profile”, Atmos. Meas. Tech., 12, 1-21, https://doi.org/10.5194/amt-12-1-2019.
     
  171. Liu, Y., S. Hua, R. Jia and J. Huang, 2019: “Effect of Aerosols on the Ice Cloud Properties over the Tibetan Plateau”, J. Geophys. Res. Atmos., 124, 9594-9608, https://doi.org/10.1029/2019JD030463.
     
  172. Liu, Y., P. K. E. Pellikka, H. Li and X. Fang, 2019: “Detection of the dispersion and residence of volcanic SO2 and sulfate aerosol from Nabro in 2011”, Atmos. Environ., 197, 36-44, https://doi.org/10.1016/j.atmosenv.2018.10.022.
     
  173. Liu, Y. Q. Zhu, J. Huang, S. Hua and R. Jia, 2019: “Impact of dust-polluted convective clouds over the Tibetan Plateau on downstream precipitation”, Atmos. Environ., 209, 67-77, https://doi.org/10.1016/j.atmosenv.2019.04.001.
     
  174. Liu, Y., Q. Zhu, R. Wang, K. Xia and P. Cha, 2019: “Distribution, source and transport of the aerosols over Central Asia”, Atmos. Environ., 210, 120-131, https://doi.org/10.1016/j.atmosenv.2019.04.052.
     
  175. Liu, Z., J. Kar, S. Zeng, J. Tackett, M. Vaughan, M. Avery, J. Pelon, B. Getzewich, K.-P. Lee, B. Magill, A. Omar, P. Lucker, C. Trepte and D. Winker, 2019: “Discriminating Between Clouds and Aerosols in the CALIOP Version 4.1 Data Products”, Atmos. Meas. Tech., 12, 703-734, https://doi.org/10.5194/amt-12-703-2019.
     
  176. Loeb, N. G., H. Wang, F. G. Rose, S. Kato, W. L. Smith, Jr. and S. Sun-Mack, 2019: “Decomposing Shortwave Top-of-Atmosphere and Surface Radiative Flux Variations in Terms of Surface and Atmospheric Contributions”, J. Climate, 32, 5003-5019, https://doi.org/10.1175/JCLI-D-18-0826.1.
     
  177. Lopes, F. J. S., J. J. Silva, J. C. Antuña Marrero, G. Taha and E. Landulfo, 2019: “Synergetic Aerosol Layer Observation After the 2015 Calbuco Volcanic Eruption Event”, Remote Sens., 11, 195, https://doi.org/10.3390/rs11020195.
     
  178. Ma, S., X. Zhang, C. Gao, D. Q. Tong, A. Xiu, G. Wu, X. Cao, L. Huang, H. Zhao, S. Zhang, S. Ibarra-Espinosa, X. Wang, X. Li and M. Dan, 2019: “Multi-model simulations of springtime dust storms in East Asia: Implications of an evaluation of four commonly used air quality models (CMAQv5.2.1, CAMxv6.50, CHIMEREv2017r4, and WRF-Chem v3.9.1)”, Geosci. Model Dev., 12, 4603-4625, https://doi.org/10.5194/gmd-12-4603-2019.
     
  179. Ma, S., X. Zhang, C. Gao, Q. Tong, A. Xiu, H. Zhao and S. Zhang, 2019: “Simulating Performance of CHIMERE on a Late Autumnal Dust Storm over Northern China”, Sustainability, 11, 1074, https://doi.org/10.3390/su11041074.
     
  180. Madenach, N., C. Carbajal Henken, R. Preusker, O. Sourdeval and J. Fischer, 2019: “Analysis and quantification of ENSO-linked changes in the tropical Atlantic cloud vertical distribution using 14 years of MODIS observations”, Atmos. Chem. Phys., 19, 13535-13546, https://doi.org/10.5194/acp-19-13535-2019.
     
  181. Magalhães Neto, N. d., H. Evangelista, T. Condom, A. Rabatel and P. Ginot, 2019: “Amazonian Biomass Burning Enhances Tropical Andean Glaciers Melting”, Sci. Rep., 9, 16914, https://doi.org/10.1038/s41598-019-53284-1.
     
  182. Mahapatra, P. S., S. P. Puppala, B. Adhikary, K. L. Shrestha, D. P. Dawadi, S. P. Paudel and A. K. Panday, 2019: “Air quality trends of the Kathmandu Valley: A satellite, observation and modeling perspective”, Atmos. Environ., 201, 334-347, https://doi.org/10.1016/j.atmosenv.2018.12.043.
     
  183. Maloney, C., 2019: “Improved Ice Cloud Representation in the Community Aerosol and Radiation Model for Atmospheres (CARMA) Cirrus Cloud Model in CESM1” , Ph.D. Thesis, Department of Atmospheric and Oceanic Sciences, University of Colorado [ProQuest Number 27662724, see https://search.proquest.com/openview/ce2aefeb71b319c6a55cfe0928aad7d8/1?pq-origsite=gscholar&cbl=18750&diss=y].
     
  184. Maloney, C., C. Bardeen, O. B. Toon, E. Jensen, S. Woods, T. Thornberrry, L. Pfister, G. Diskin and T. P. Bui, 2019: “An evaluation of the representation of Tropical Tropopause cirrus in the CESM/CARMA model using satellite and aircraft observations”, J. Geophys. Res. Atmos., 124, 8659-8687, https://doi.org/10.1029/2018JD029720.
     
  185. Mancera Guevara, D. R., 2019: “Analysis of Aerosol Vertical Concentrations Based on Satellite and Model Data”, Ph.D. Thesis, Faculty of Mathematics and Natural Sciences, Universität Oldenburg, 217 pp. [see https://oops.uni-oldenburg.de/id/eprint/4199].
     
  186. Manoj, M. R., S. K. Satheesh, K. K. Moorthy, M. M. Gogoi, and S. S. Babu, 2019: “Decreasing Trend in Black Carbon Aerosols over the Indian Region”, Geophys. Res. Lett., 46, 2903-2910, https://doi.org/10.1029/2018GL081666.
     
  187. Marinou, E., M. Tesche, A. Nenes, A. Ansmann, J. Schrod, D. Mamali, A. Tsekeri, M. Pikridas, H. Baars, R. Engelmann, K.-A. Voudouri, S. Solomos, J. Sciare, S. Groß and V. Amiridis, 2019: “Retrieval of ice-nucleating particle concentrations from lidar observations and comparison with UAV in situ measurements”, Atmos. Chem. Phys., 19, 11315-11342, https://doi.org/10.5194/acp-19-11315-2019.
     
  188. Matus, A. V., T. S. L’Ecuyer and D. S. Henderson, 2019: “New estimates of aerosol direct radiative effects and forcing from A-Train satellite observations”, Geophys. Res. Lett., 46, 8338-8346, https://doi.org/10.1029/2019GL083656.
     
  189. Mehra, M., A. K. Panday, S. P. Puppala, V. Sapkota, B. Adhikary, C. P.Pokharel and K. Ram, 2019: “Impact of local and regional emission sources on air quality in foothills of the Himalaya during spring 2016: An observation, satellite and modeling perspective”, Atmos. Environ., 216, 116897, https://doi.org/10.1016/j.atmosenv.2019.116897.
     
  190. Mehta, M., N. Singh and R. Solanki, 2019: “Changing aerosol loadings over Central Himalayan region (2007-2016) - A satellite perspective”, Atmos. Environ., 207, 117-128, https://doi.org/10.1016/j.atmosenv.2019.03.024.
     
  191. Mei, L., V. Rozanov, H. Jethva, K. G. Meyer, L. Lelli, M. Vountas and J. P. Burrows, 2019: “Extending XBAER Algorithm to Aerosol and Cloud Condition”, IEEE Trans. Geosci. Remote Sens., 10, 8262-8275, https://doi.org/10.1109/TGRS.2019.2919910.
     
  192. Meng, L., X. Yang, T. Zhao, Q. He, H. Lu, A. Mamtimin, W. Huo, F. Yang and C. Liu, 2019: “Modeling study on three-dimensional distribution of dust aerosols during a dust storm over the Tarim Basin, Northwest China”, Atmos. Res., 218, 285-295, https://doi.org/10.1016/j.atmosres.2018.12.006.
     
  193. Mehta, M., N. Singh and R. Solanki, 2019: “Changing aerosol loadings over Central Himalayan region (2007-2016) - A satellite perspective”, Atmos. Environ., 207, 117-128, https://doi.org/10.1016/j.atmosenv.2019.03.024.
     
  194. Miao, H., X. Wang, Y. Liu and G. Wu, 2019: “An evaluation of cloud vertical structure in three reanalyses against CloudSat/cloud-aerosol lidar and infrared pathfinder satellite observations”, Atmos. Sci. Lett., 20, e906, https://doi.org/10.1002/asl.906.
     
  195. Michibata, T., K. Suzuki, M. Sekiguchi and T. Takemura, 2019: “Prognostic precipitation in the MIROC6-SPRINTARS GCM: Description and evaluation against satellite observations”, JAMES, 11, 839-860, https://doi.org/10.1029/2018MS001596.
     
  196. Miller, R. M., 2019: “Supermicron-size aerosol particles originating from biomass burning in south-central Africa”, M.S. Thesis, Department of Atmospheric Sciences, University of Illinois at Urbana-Champaign, 35 pp. [see http://hdl.handle.net/2142/105697].
     
  197. Miller, S. D., L. Grasso, Q. Bian, S. Kreidenweis, J. Dostalek, J. Solbrig, J. Bukowski, S. C. van den Heever, Y. Wang, X. Xu, J. Wang, A. Walker, T.-C. Wu, M. Zupanski, C. Chiu and J. Reid, 2019: “A Tale of Two Dust Storms: Analysis of a Complex Dust Event in the Middle East”, Atmos. Meas. Tech., 12, 5101-5118, https://doi.org/10.5194/amt-12-5101-2019.
     
  198. Morrison, A. L., J. E. Kay, W. R. Frey, H. Chepfer and R. Guzman, 2019: “Cloud Response to Arctic Sea Ice Loss and Implications for Future Feedbacks in the CESM1 Climate Model”, J. Geophys. Res. Atmos., 124, 1003-1020, https://doi.org/10.1029/2018JD029142.
     
  199. Morrison, A. L., 2019: “Engaging in Climate Change: Arctic Cloud-Sea Ice Feedbacks in Observations, Climate Models, and the Classroom”, Ph.D. Thesis, Department of Atmospheric and Oceanic Sciences, University of Colorado, 144 pp. [see https://drive.google.com/file/d/1fUS_D2RQrv3nDFC7zJ_t73AtbVKgTLNR/view].
     
  200. Nabavi, S. O., L. Haimberger and E. Abbasi, 2019: “Assessing PM2.5 concentrations in Tehran, Iran, from space using MAIAC, deep blue, and dark target AOD and machine learning algorithms”, Atmos. Pollut. Res., 10, 889-903, https://doi.org/10.1016/j.apr.2018.12.017.
     
  201. Nakoudi, K., E. Giannakaki, A. Dandou, M. Tombrou and M. Komppula, 2019: “Planetary boundary layer height by means of lidar and numerical simulations over New Delhi, India”, Atmos. Meas. Tech., 12, 2595-2610, https://doi.org/10.5194/amt-12-2595-2019.
     
  202. Naud, C. M., J. F. Booth., J. Jeyaratnam, L. J. Donner, C. J. Seman, M. Zhao, H. Guo and Y. Ming, 2019: “Extratropical Cyclone Clouds in the GFDL climate model: diagnosing biases and the associated causes”, J. Climate, 32, 6685-6701, https://doi.org/10.1175/JCLI-D-19-0421.1.
     
  203. Neubauer, D., S. Ferrachat, C. Siegenthaler-Le Drian, P. Stier, D. G. Partridge, I. Tegen, I. Bey, T. Stanelle, H. Kokkola, and U. Lohmann, 2019: “The global aerosol-climate model ECHAM6.3-HAM2.3 - Part 2: Cloud evaluation, aerosol radiative forcing and climate sensitivity”, Geosci. Model Dev. Discuss., 12, 3609-3639, https://doi.org/10.5194/gmd-12-3609-2019.
     
  204. Nguyen, H. D., M. Riley, J. Leys and D. Salter, 2019: “Dust Storm Event of February 2019 in Central and East Coast of Australia and Evidence of Long-Range Transport to New Zealand and Antarctica”, Atmosphere, 10, 653, https://doi.org/10.3390/atmos10110653.
     
  205. Niu, H., S. Kang, W. Gao, Y. Wang and R. Paudyal, 2019: “Vertical distribution of the Asian tropopause aerosols detected by CALIPSO”, Environ. Pollut., 253, 207-220, https://doi.org/10.1016/j.envpol.2019.06.111.
     
  206. Njeri, J. K., 2019: “Synoptic-scale dynamics and modeling of extreme precipitation events in Kenya”, Ph.D. Thesis, Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, 158 pp. [see https://publikationen.bibliothek.kit.edu/1000096478].
     
  207. Noh, Y.-J., S. D. Miller, A. K. Heidinger, G. Mace, A. Protat and S. P. Alexander, 2019: “Satellite-based detection of daytime supercooled liquid-topped mixed-phase clouds over the Southern Ocean using the Advanced Himawari Imager”, J. Geophys. Res. Atmos., 124, 2677-2701, https://doi.org/10.1029/2018JD029524.
     
  208. Oelhaf, H., B.-M. Sinnhuber, W. Woiwode, H. Bönisch, H. Bozem, A. Engel, A. Fix, F. Friedl-Vallon, J.-U. Grooß, P. Hoor, S. Johansson, T. Jurkat-Witschas, S. Kaufmann, M. Krämer, J. Krause, E. Kretschmer, D. Lörks, A. Marsing, J. Orphal, K. Pfeilsticker, M. Pitts, L. Poole, P. Preusse, M. Rapp, M. Riese, C. Rolf, J. Ungermann, C. Voigt, C. M. Volk, M. Wirth, A. Zahn and H. Ziereis, 2019: “POLSTRACC: Airborne Experiment for Studying the Polar Stratosphere in a Changing Climate with the High Altitude and Long Range Research Aircraft (HALO)”, B. Am. Meteorol. Soc., 100, 2634-2664, https://doi.org/10.1175/BAMS-D-18-0181.1.
     
  209. Ogunjobi, K. O. and P. O. Awoleye, 2019: “Intercomparison and Validation of Satellite and Ground-Based Aerosol Optical Depth (AOD) Retrievals over Six AERONET Sites in West Africa”, Aerosol Sci. Eng., 3, 32-47, https://doi.org/10.1007/s41810-019-00040-7.
     
  210. Oh, S. M., R. Borde, M. Carranza and I.-C. Shin, 2019: “Development and Intercomparison Study of an Atmospheric Motion Vector Retrieval Algorithm for GEO-KOMPSAT-2A”, Remote Sens., 11, 2054, https://doi.org/10.3390/rs11172054.
     
  211. Ortiz-Amezcua, P., 2019: “Atmospheric profiling based on aerosol and Doppler lidar” Ph.D. Thesis, Department of Physics and Space Sciences, Universidad de Granada, 298 pp. [see http://hdl.handle.net/10481/57771].
     
  212. Özdemir, E. T., 2019: “Investigations of a Southerly Non-Convective High Wind Event in Turkey and Effects on PM10 Values: A Case Study on April 18, 2012”, Pure Appl. Geophys., 176, 4599-4622, https://doi.org/10.1007/s00024-019-02240-1.
     
  213. Painemal, D., M. Clayton, R. Ferrare, S. Burton, D. Josset and M. Vaughan, 2019: “Novel aerosol extinction coefficients and lidar ratios over the ocean from CALIPSO-CloudSat: evaluation and global statistics”, Aerosol Sci. Eng., 12, 2201-2217, https://doi.org/10.5194/amt-12-2201-2019.
     
  214. Palm, S., Y. Yang and V. Kayetha, 2019: “New Perspectives on Blowing Snow in Antarctica and Implications for Ice Sheet Mass Balance”, in Antarctica: A Key To Global Change, Kanao, Toyokuni, and Yamamoto, Eds., IntechOpen, ISBN 978-1-78985-816-7, https://doi.org/10.5772/intechopen.81319.
     
  215. Pan, B., Z. Yao, M. Wang, H. Pan, L. Bu, K. R. Kumar, H. Gao and X. Huang, 2019: “Evaluation and utilization of CloudSat and CALIPSO data to analyze the impact of dust aerosol on the microphysical properties of cirrus over the Tibetan Plateau”, Adv. Space Res., 63, 2-15, https://doi.org/10.1016/j.asr.2018.07.004.
     
  216. Pan, H., M. Wang, K. R. Kumar, H. Lu, A. Mamtimin, W. Huo, X. Yang, F. Yang and C. Zhou, 2019: “Seasonal and vertical distributions of aerosol type extinction coefficients with an emphasis on the impact of dust aerosol on the microphysical properties of Cirrus over the Taklimakan Desert in Northwest China”, Atmos. Environ., 203, 216-227, https://doi.org/10.1016/j.atmosenv.2019.02.004.
     
  217. Pan, Z., F. Mao, X. Lu, W. Gong, H. Shen and Q. Mao, 2019: “Enhancement of vertical cloud-induced radiative heating in East Asian monsoon circulation derived from CloudSat-CALIPSO observations”, Int. J. Remote Sens., 41, 595-614, https://doi.org/10.1080/01431161.2019.1646935.
     
  218. Pani, S. K., C.-F. Ou-Yang, S.-H. Wang, J. A. Ogren, P. J. Sheridan, G.-R. Sheu and N.-H. Lin, 2019: “Relationship between long-range transported atmospheric black carbon and carbon monoxide at a high-altitude background station in East Asia”, Atmos. Environ., 210, 86-99, https://doi.org/10.1016/j.atmosenv.2019.04.053.
     
  219. Paszkuta, M., T. Zapadka and A. Krezel, 2019: “Assessment of cloudiness for use in environmental marine research”, Int J Climatol., 40, 9439-9459, https://doi.org/10.1080/01431161.2019.1633697.
     
  220. Parajuli, S. P., G. L. Stenchikov, A. Ukhov and H. Kim, 2019: “Dust emission modeling using a new high-resolution dust source function in WRF-Chem with implications for air quality”, J. Geophys. Res. Atmos., 124, 10109-10133, https://doi.org/10.1029/2019JD030248.
     
  221. Park, S., S.-W. Kim, N.-H. Lin, S. K. Pani, P. J. Sheridan and E. Andrews, 2019: “Variability of Aerosol Optical Properties Observed at a Polluted Marine (Gosan, Korea) and a High-altitude Mountain (Lulin, Taiwan) Site in the Asian Continental Outflow”, Aerosol Air. Qual. Res., 19, 1272-1283, https://doi.org/10.4209/aaqr.2018.11.0416.
     
  222. Patel, P. N., R. Gautam, T. Michibata and H. Gadhavi, 2019: “Strengthened Indian summer monsoon precipitation susceptibility linked to dust-induced ice cloud modification”, Geophys. Res. Lett., 46, 8431-8441, https://doi.org/10.1029/2018GL081634.
     
  223. Pauly, R. M., J. E. Yorks, D. L. Hlavka, M. J. McGill, V. Amiridis, S. P. Palm, S. D. Rodier, M. A. Vaughan, P. A. Selmer, A. W. Kupchock, H. Baars and A. Gialitaki, 2019: “Cloud Aerosol Transport System (CATS) 1064 nm Calibration and Validation”, Atmos. Meas. Tech., 12, 6241-6258, https://doi.org/10.5194/amt-12-6241-2019.
     
  224. Pi, W.-X., M. Huang, F.-R. Zhu, Y. He, N. Xie, Y. Zhang, Q.-H. Chen and H.-Y. Jia, 2019: “Extinction coefficients of surface atmospheric aerosol above LHAASO”, Chinese Phys. C, 43, 085001, https://doi.org/10.1088/1674-1137/43/8/085001.
     
  225. Po-Chedley, S., M. D. Zelinka, N. Jeevanjee, T. J. Thorsen and B. D. Santer, 2019: “Climatology explains intermodel spread in tropical upper tropospheric cloud and relative humidity response to greenhouse warming”, Geophys. Res. Lett., 46, 13399-13409, https://doi.org/10.1029/2019GL084786.
     
  226. Pokharel, M., J. Guang, B. Liu, S. Kang, Y. Ma, B. N. Holben, X. Xia, J. Xin, K. Ram, D. Rupakheti, X. Wan, G. Wu, H. Bhattarai, C. Zhao and Z. Cong, 2019: “Aerosol properties over Tibetan Plateau from a decade of AERONET measurements: baseline, types, and influencing factors”, J. Geophys. Res. Atmos., 124, 13357-13374, https://doi.org/10.1029/2019JD031293.
     
  227. Prasad, P., M. R. Raman, M. V. Ratnam, V. Ravikiran, B. L. Madhavan and S. V. B Rao, 2019: “Nocturnal, seasonal and intra-annual variability of tropospheric aerosols observed using ground-based and space-borne lidars over a tropical location of India”, Atmos. Environ., 213, 185-198, https://doi.org/10.1016/j.atmosenv.2019.06.008.
     
  228. Prata, F. and M. Lynch, 2019: “Passive Earth Observations of Volcanic Clouds in the Atmosphere”, Atmosphere, 10, 199, https://doi.org/10.3390/atmos10040199.
     
  229. Purbantoro, B., J. Aminuddin, N. Manago, K. Toyoshima, N. Lagrosas, J. T. S. Sumantyo and H. Kuze, 2019: “Comparison of Aqua/Terra MODIS and Himawari-8 Satellite Data on Cloud Mask and Cloud Type Classification Using Split Window Algorithm”, Remote Sens., 11, 2944, https://doi.org/10.3390/rs11242944.
     
  230. Qin, Y., A. D. Steven, T. Schroeder, T. R. McVicar, J. Huang, M. Cope and S. Zhou, 2019: “Cloud Cover in the Australian Region: Development and Validation of a Cloud Masking, Classification and Optical Depth Retrieval Algorithm for the Advanced Himawari Imager”, Front. Environ. Sci., 7, https://doi.org/10.3389/fenvs.2019.00020.
     
  231. Rai, M., P. S. Mahapatra, C. Gul, R. B. Kayastha, A. K. Panday and S. P. Puppala, 2019: “Aerosol Radiative Forcing Estimation over a Remote High-altitude Location (~4900 masl) near Yala Glacier, Nepal”, Aerosol Air. Qual. Res., 19, 1872-1891, https://doi.org/10.4209/aaqr.2018.09.0342.
     
  232. Rashki, A., D. G. Kaskaoutis, A. Mofidi, F. Minvielle, I. Chiapello, M. Legrand, U. C. Dumka and P. Francois, 2019: “Effects of Monsoon, Shamal and Levar winds on dust accumulation over the Arabian Sea during summer - The July 2016 case”, Aeolian Res., 36, 27-44, https://doi.org/10.1016/j.aeolia.2018.11.002.
     
  233. Ray, D., A. Ghosh, A. Chatterjee, S. K. Ghosh and S. Raha, 2019: “Size-specific PAHs and Associated Health Risks over a Tropical Urban Metropolis: Role of Long-range Transport and Meteorology”, Aerosol Air. Qual. Res., 19, 2446-2463, https://doi.org/10.4209/aaqr.2019.06.0312.
     
  234. Reddy, K. R. O., X. Zhang and L. Bi, 2019: “Seasonal aerosol variations over a coastal city, Zhoushan, China from CALIPSO observations”, Atmos. Res., 218, 117-128, https://doi.org/10.1016/j.atmosres.2018.11.011.
     
  235. Ren, T., A D. Rapp, J. R. Mecikalski and J. Apke, 2019: “Lightning and Associated Convection Features in the Presence of Absorbing Aerosols Over Northern Alabama”, J. Geophys. Res. Atmos., 124, 13375-13396, https://doi.org/10.1029/2019JD031544.
     
  236. Richardson, M., J. Leinonen, H. Q. Cronk, J. McDuffie, M. D. Lebsock and G. L. Stephens, 2019: “Liquid marine cloud geometric thickness retrieved from OCO-2’s oxygen A-band spectrometer”, Atmos. Meas. Tech., 12, 1717-1737, https://doi.org/10.5194/amt-12-1717-2019.
     
  237. Rieger, L. A., D. J. Zawada, A. E. Bourassa and D. A. Degenstein, 2019: “A Multiwavelength Retrieval Approach for Improved OSIRIS Aerosol Extinction Retrievals”, J. Geophys. Res. Atmos., 124, 7286-7307, https://doi.org/10.1029/2018JD029897.
     
  238. Rupakheti, D., S. Kang, M. Rupakheti, Z. Cong, A. K.Panday and B. N.Holben, 2019: “Identification of absorbing aerosol types at a site in the northern edge of Indo-Gangetic Plain and a polluted valley in the foothills of the central Himalayas”, Atmos. Res., 223, 15-23, https://doi.org/10.1016/j.atmosres.2019.03.003.
     
  239. Saito, M., P. Yang, Y. Hu, X. Liu, N. Loeb, W. L. Smith Jr. and P. Minnis, 2019: “An efficient method for microphysical property retrievals in vertically inhomogeneous marine water clouds using MODIS-CloudSat measurements”, J. Geophys. Res. Atmos., 124, 2174-2193, https://doi.org/10.1029/2018JD029659.
     
  240. Sandvik, O. S., J. Friberg, B. G. Martinsson, P. F. J. van Velthoven, M. Hermann and A. Zahn, 2019: “Intercomparison of in-situ aircraft and satellite aerosol measurements in the stratosphere”, Sci. Rep., 9, 15576, https://doi.org/10.1038/s41598-019-52089-6.
     
  241. Santek, D. R. Dworak, S. Nebuda, S. Wanzong, R. Borde, I. Genkova, J. García-Pereda, R. Galante Negri, M. Carranza, K. Nonaka, K. Shimoji, S. M. Oh, B.-I. Lee, S.-R. Chung, J. Daniels, W. Bresky, 2019: “2018 Atmospheric Motion Vector (AMV) Intercomparison Study”, Remote Sens., 11, 2240, https://doi.org/10.3390/rs11192240.
     
  242. Santra, S., S. Verma, K. Fujita, I. Chakraborty, O. Boucher, T. Takemura, J. F. Burkhart, F. Matt and M. Sharma, 2019: “Simulations of black carbon (BC) aerosol impact over Hindu-Kush Himalayan sites: validation, sources, and implications on glacier runoff”, Atmos. Chem. Phys., 19, 2441-2460, https://doi.org/10.5194/acp-19-2441-2019.
     
  243. Sato, K., H. Okamoto and H. Ishimoto, 2019: “Modeling the depolarization of space-borne lidar signals”, Opt. Express, 27, A117-A132, https://doi.org/10.1364/OE.27.00A117.
     
  244. Sauter, K., T. S. L’Ecuyer, S. C. van den Heever, C. H. Twohy, A. Heidinger, S. Wanzong and N. Wood, 2019: “The Observed Influence of Tropical Convection on the Saharan Dust Layer”, J. Geophys. Res. Atmos., 124, 10896-10912, https://doi.org/10.1029/2019JD031365.
     
  245. Šavli, M., J. de Kloe, G.-J. Marseille, M. Rennie, N. Žagar and N. Wedi, 2019: “The prospects for increasing the horizontal resolution of the Aeolus horizontal line-of-sight wind profiles”, Q. J. Roy. Meteorol. Soc., 145, 3499-3515, https://doi.org/10.1002/qj.3634.
     
  246. Schoeberl, M. R., E. J. Jensen, L. Pfister, R. Ueyama, T. Wang, H. Selkirk, T. Thornberry, A. E. Dessler and M. Avery, 2019: “Water Vapor, Clouds, and Saturation in the Tropical Tropopause Layer”, J. Geophys. Res. Atmos., 124, 3984-4003, https://doi.org/10.1029/2018JD029849.
     
  247. Shahid, M. Z., I. Shahid, F. Chishtie and M. I. Shahzad, 2019: “Analysis of a dense haze event over North-eastern Pakistan using WRF-Chem model and remote sensing”, J. Atmos. Sol.-Terr. Phy., 182, 229-241, https://doi.org/10.1016/j.jastp.2018.12.007.
     
  248. Shaik, D. S., Y. Kant, D. Mitra, A. Singh, H. C. Chandola, M. Sateesh, S. S. Babu and P. Chauhan, 2019: “Impact of biomass burning on regional aerosol optical properties: A case study over northern India”, J. Environ. Manage., 244, 328-343, https://doi.org/10.1016/j.jenvman.2019.04.025.
     
  249. Shen, J. and N. Cao, 2019: “Characteristics of Aerosol Vertical Distribution over the Yangtze River Delta Region of China in 2018”, Environm. Sci., 40, 4743-4754, https://doi.org/10.13227/j.hjkx.201903187 (in Chinese).
     
  250. Shi, Y. and X. Liu, 2019: “Dust Radiative Effects on Climate by Glaciating Mixed-Phase Clouds”, Geophys. Res. Lett., 46, 6128-6137, https://doi.org/10.1029/2019GL082504.
     
  251. Shi, Z., X. Xie, X. Li, L. Yang, X. Xie, J. Lei, Y. Sha and X. Liu, 2019: “Snow-darkening versus direct radiative effects of mineral dust aerosol on the Indian summer monsoon onset: role of temperature change over dust sources”, Atmos. Chem. Phys., 19, 1605-1622, https://doi.org/10.5194/acp-19-1605-2019.
     
  252. Shikwambana, L., 2019: “Long-term observation of global black carbon, organic carbon and smoke using CALIPSO and MERRA-2 data”, Remote Sens. Lett., 10, 373-380, https://doi.org/10.1080/2150704X.2018.1557789.
     
  253. Shikwambana, L., X. Ncipha, O. E. Malahlela, N. Mbatha and V. Sivakumar, 2019: “Characterisation of aerosol constituents from wildfires using satellites and model data: a case study in Knysna, South Africa”, Int. J. Remote Sens., 40, 4743-4761, https://doi.org/10.1080/01431161.2019.1573338.
     
  254. Shikwambana, L. and V. Sivakumar, 2019: “Investigation of various aerosols over different locations in South Africa using satellite, model simulation and LIDAR”, Meteorol. Appl., 26, 275-287, https://doi.org/10.1002/met.1761.
     
  255. Shou, Y.-X., F. Lu, H. Liu, P. Cui, S. Shou and J. Liu, 2019: “Satellite-based Observational Study of the Tibetan Plateau Vortex: Features of Deep Convective Cloud Tops”, Adv. Atmos. Sci., 36, 189-205, https://doi.org/10.1007/s00376-018-8049-y.
     
  256. Si, Y., S. Li, L. Chen, C. Yu, H. Wang and Y. Wang, 2019: “Impact of precursor gases and meteorological variables on satellite-estimated near-surface sulfate and nitrate concentrations over the North China Plain”, Atmos. Environ., 199, 345-356, https://doi.org/10.1016/j.atmosenv.2018.11.030.
     
  257. Sicard, M., M. J. Granados-Muñoz, L. Alados-Arboledas, R. Barragána, A. E. Bedoya-Velásquez J. A. Benavent-Oltra, D. Bortoli, A. Comerón, C. Córdoba-Jabonero, M. J. Costa, A. del águila, A. J. Fernández, J. L. Guerrero-Rascado, O. Jorbah, F. Molero, C. Muñoz-Porcar, P. Ortiz-Amezcua, N. Papagiannopoulos, M. Potes, M. Pujadas, F. Rocadenbosch, A. Rodríguez-Gómez, R. Román, R. Salgado, V. Salgueiro, Y. Solak, M. Yela, 2019: “Ground/space, passive/active remote sensing observations coupled with particle dispersion modelling to understand the inter-continental transport of wildfire smoke plumes”, Remote Sens. Environ., 232, 111294, https://doi.org/10.1016/j.rse.2019.111294.
     
  258. Silber, I., A. M. Fridlind, J. Verlinde, A. S. Ackerman, Y.-S. Chen, D. H. Bromwich, S.-H. Wang, M. Cadeddu and E. W. Eloranta, 2019: “Persistent Supercooled Drizzle at Temperatures below -25°C Observed at McMurdo Station, Antarctica”, J. Geophys. Res. Atmos., 124, 10878-10895, https://doi.org/10.1029/2019JD030882.
     
  259. Singh, A., K. S. Mahata, M. Rupakheti, W. Junkermann, A. K. Panday and M. G. Lawrence, 2019: “An overview of airborne measurement in Nepal - Part 1: Vertical profile of aerosol size, number, spectral absorption, and meteorology”, Atmos. Chem. Phys., 19, 245-258, https://doi.org/10.5194/acp-19-245-2019.
     
  260. Sledd, A. and T. L’Ecuyer, 2019: “How Much Do Clouds Mask the Impacts of Arctic Sea Ice and Snow Cover Variations? Different Perspectives from Observations and Reanalyses”, Atmosphere, 10, 12, https://doi.org/10.3390/atmos10010012.
     
  261. Smalley, M., K. Suselj, M. Lebsock and J. Teixeira, 2019: “A novel framework for evaluating and improving parameterized subtropical marine boundary layer cloudiness”, Mon. Wea. Rev., 147, 3241-3260, https://doi.org/10.1175/MWR-D-18-0394.1.
     
  262. Snels, M., A. Scoccione, L. Di Liberto, F. Colao, M. Pitts, L. Poole, T. Deshler, F. Cairo, C. Cagnazzo and F. Fierli, 2019: “Comparison of Antarctic polar stratospheric cloud observations by ground-based and spaceborne lidars and relevance for Chemistry Climate Models”, Atmos. Chem. Phys., 19, 955-972, https://doi.org/10.5194/acp-19-955-2019.
     
  263. Sokolik, I. N., A. J. Soja, P. J. DeMott and D. Winker, 2019: “Progress and challenges in quantifying wildfire smoke emissions, their properties, transport and atmospheric impacts”, J. Geophys. Res. Atmos., 124, 13005-13025, https://doi.org/10.1029/2018JD029878.
     
  264. Solomos, S., A. Gialitaki, E. Marinou, E. Proestakis, V. Amiridis, H. Baars, M. Komppula and A. Ansmann, 2019: “Modeling and remote sensing of an indirect Pyro-Cb formation and biomass transport from Portugal wildfires towards Europe”, Atmos. Environ., 206, 303-315, https://doi.org/10.1016/j.atmosenv.2019.03.009.
     
  265. Someya, Y., R. Imasu and K. Shiomi, 2019: “Dust Aerosol Detection by the Modified CO2 Slicing Method”, Sensors, 19, 1615, https://doi.org/10.3390/s19071615.
     
  266. Song, Q., 2019: “Cloud Characteristics Analysis of Qilian Mountain and Central Gansu Based on Satellite Remote Sensing”, M.S. Thesis, Lanzhou University [in Chinese; see http://cdmd.cnki.com.cn/Article/CDMD-10730-1019874220.htm].
     
  267. Soupiona, O., S. Samaras, P. Ortiz-Amezcua, C. BÖckmann, A. Papayannis, G. A. Moreira, J. A. Benavent-Oltra, J. L. Guerrero-Rascado, A. E. Bedoya-Velásquez, F. J. Olmo, R. Román, P. Kokkalis, M. Mylonaki, L. Alados-Arboledas, C. A. Papanikolaou and R. Foskinis, 2019: “Retrieval of optical and microphysical properties of transported Saharan dust over Athens and Granada based on multi-wavelength Raman lidar measurements: Study of the mixing processes”, Atmos. Environ., 214, 116824, https://doi.org/10.1016/j.atmosenv.2019.116824.
     
  268. Snels, M., A. Scoccione, L. Di Liberto, F. Colao, M. Pitts, L. Poole, T. Deshler, F. Cairo, C. Cagnazzo and F. Fierli, 2019: “Comparison of Antarctic polar stratospheric cloud observations by ground-based and spaceborne lidars and relevance for Chemistry Climate Models”, Atmos. Chem. Phys., 19, 955-972, https://doi.org/10.5194/acp-19-955-2019.
     
  269. Srivastava, P., S. Dey, A. K. Srivastava, S. Singh and S. Tiwari, 2019: “Suppression of aerosol-induced atmospheric warming by clouds in the Indo-Gangetic Basin, northern India”, Theor. Appl. Climatol., https://doi.org/10.1007/s00704-019-02768-1.
     
  270. Stanfield, R. E., H. Su, J, H. Jiang, S. R. Freitas, A. M. Molod, Z. J. Luo, L. Huang and M. Luo, 2019: “Convective entrainment rates estimated from Aura CO and CloudSat/CALIPSO observations and comparison with GEOS-5”, J. Geophys. Res. Atmos., 124, 9796-9807, https://doi.org/10.1029/2019JD030846.
     
  271. Stephens, G. L., M. A. Smalley and M. D. Lebsock, 2019: “The Cloudy Nature of Tropical Rains”, J. Geophys. Res. Atmos., 124, 171-188, https://doi.org/10.1029/2018JD029394.
     
  272. Sugimoto, N., Y. Jin, A. Shimizu, T. Nishizawa and K. Yumimoto, 2019: “Transport of Mineral Dust from Africa and Middle East to East Asia Observed with the Lidar Network (AD-Net)”, SOLA, 15, 257-261, https://doi.org/10.2151/sola.2019-046.
     
  273. Sun, G., Y. Li and J. Lu, 2019: “Cloud vertical structures associated with northward advance of the East Asian summer monsoon”, Atmos. Res., 215, 317-325, https://doi.org/10.1016/j.atmosres.2018.09.013.
     
  274. 265. Sun, L., 2019: “Cloud Impact Parameters Derived from A-Train Satellite, ERA-Interim, MERRA-2 and Their Relationship to the Environment”, M.S. Thesis, Department of Atmospheric Sciences, Texas A & M University, 57 pp. [see http://hdl.handle.net/1969.1/184402].
     
  275. Sun, T., H. Che, B. Qi, Y. Wang, Y. Dong, X. Xia, H. Wang, K. Gui, Y. Zheng, H. Zhao, Q. Ma, R. Du and X. Zhang, 2019: “Characterization of vertical distribution and radiative forcing of ambient aerosol over the Yangtze River Delta during 2013-2015”, Sci. Total Environ., 650, 1846-1857, https://doi.org/10.1016/j.scitotenv.2018.09.262.
     
  276. 267. Suzuki, Y. J. and M. Iguchi, 2019: “Determination of the mass eruption rate for the 2014 Mount Kelud eruption using three-dimensional numerical simulations of volcanic plumes”, J. Volcanol. Geoth. Res., 382, 42-49, https://doi.org/10.1016/j.jvolgeores.2017.06.011.
     
  277. Tan, I., L. Oreopoulos and N. Cho, 2019: “The Role of Thermodynamic Phase Shifts in Cloud Optical Depth Variations with Temperature”, Geophys. Res. Lett., 46, 4502-4511, https://doi.org/10.1029/2018GL081590.
     
  278. Tan, S., X. Zhang and G. Shi, 2019: “MODIS Cloud Detection Evaluation Using CALIOP over Polluted Eastern China”, Atmosphere, 10, 333, https://doi.org/10.3390/atmos10060333.
     
  279. Tan, Z.-H., S. Ma, D. Han, D. Gao and W. Yan, 2019: “Estimation of cloud base height for FY-4A satellite based on random forest algorithm”, J. Infrared Millim. W., 38, https://doi.org/10.11972/j.issn.1001-9014.2019.03.020.
     
  280. Tan, Z., S. Ma, X. Zhao, W. Yan and W. Lu, 2019: “Evaluation of Cloud Top Height Retrievals from China’s Next-Generation Geostationary Meteorological Satellite FY-4A”, J. Meteor. Res., 33, 553-562, https://doi.org/10.1007/s13351-019-8123-0.
     
  281. Tang, D., D. Liu, Y. Tang, B. C. Seyler, X. Deng and Y. Zhan, 2019: “Comparison of GOCI and Himawari-8 aerosol optical depth for deriving full-coverage hourly PM2.5 across the Yangtze River Delta”, Atmos. Environ., 217, 116973, https://doi.org/10.1016/j.atmosenv.2019.116973.
     
  282. Tang, Q., Klein, S. Xie, W. Lin, J.-C. Golaz, E. L. Roesler, M. A. Taylor, P. J. S. A. C. Bader, L. K. Berg, P. Caldwell, S. E. Giangrande, R. B. Neale, Y. Qian, L. D. Riihimaki, C. S. Zender, Y. Zhang and X. Zheng, 2019: “Regionally refined test bed in E3SM atmosphere model version 1 (EAMv1) and applications for high-resolution modeling”, Geosci. Model Dev., 12, 2679-2706, https://doi.org/10.5194/gmd-12-2679-2019.
     
  283. Tang, Z., X. Xu, X. Yang, H. Wu and L. Xie, 2019: “Study on aerosol three-dimensional distribution characteristics in East China based on satellite data”, China Environmental Science, 39, 3624-3634 [in Chinese; see http://www.cnki.com.cn/Article/CJFDTotal-ZGHJ201909005.htm].
     
  284. Taylor, I. A., E. Carboni, L. J. Ventress, T. A. Mather, and R. G. Grainger, 2019: “An adaptation of the CO2 slicing technique for the Infrared Atmospheric Sounding Interferometer to obtain the height of tropospheric volcanic ash clouds”, Atmos. Meas. Tech., 12, 3853-3883, https://doi.org/10.5194/amt-12-3853-2019.
     
  285. Taylor, P. C., R. C. Boeke, Y. Li, and D. W. J. Thompson, 2019: “Arctic cloud annual cycle biases in climate models”, Atmos. Chem. Phys., 19, 8759-8782, https://doi.org/10.5194/acp-19-8759-2019.
     
  286. Tchaikovsky, A. P., A. I. Brill, A. S. Fedorenko, V. A. Caves, S. V. Denisov, V. P. Dick, F. P. Osipenko, N. S. Metelskaya, Y. S. Balin, G. P. Kokhanenko, I. E. Penner, S. V. Samoilova, M. G. Klemasheva, S. V. Nasonov, G. S. Zhamsuev, A. S. Zaiakhanov, V. V. Tsydypov, A. Batbold, D. Azzayaa, E. Enhbat, D. Ouunchimeg, N. S. An, F. S. Than, N. W. Hiep, D. Tuan and B. Chen, 2019: “Synergy of Terrestrial and Satellite Remote Optical Measurements for the Study of Atmospheric Aerosol”, J. Appl. Spectrosc., 86, 986-993, https://doi.org/10.1007/s10812-020-00945-z.
     
  287. Thomas, M. A., A. Devasthale, M. Tjenström and A. M. L. Ekman, 2019: “The relation between aerosol vertical distribution and temperature inversions in the Arctic in winter and spring”, Geophys. Res. Lett., 46, 2836-2845, https://doi.org/10.1029/2018GL081624.
     
  288. Tian, Y., X. Pan, J. Yan, Q. Lin, Y. Sun, M. Li, C. Xie, I. Uno, H. Liu, Z. Wang, P. Fu and Z. Wang, 2019: “Size Distribution and Depolarization Properties of Aerosol Particles over the Northwest Pacific and Arctic Ocean from Shipborne Measurements during an R/V Xuelong Cruise”, Environ. Sci. Technol., 53, 7984-7995, https://doi.org/10.1021/acs.est.9b00245.
     
  289. Tiwari, S., A. Kumar, V. Pratap and A. K. Singh, 2019: “Assessment of two intense dust storm characteristics over Indo-Gangetic basin and their radiative impacts: A case study”, Atmos. Res., 228, 23-40, https://doi.org/10.1016/j.atmosres.2019.05.011.
     
  290. Toll, V., M. Christensen, J. Quaas and N. Bellouin, 2019: “Weak average liquid-cloud-water response to anthropogenic aerosols”, Nature, 572, 51-55, https://doi.org/10.1038/s41586-019-1423-9.
     
  291. Tomii, Y., 2019: “A More Realistic Cirrus Cloud Climate Intervention Experiment”, M.S. Thesis, Department of Atmospheric Sciences, University of Nevada, Reno, 82 pp. [see http://hdl.handle.net/11714/6667].
     
  292. Toth, T. D., J. Zhang, J. S. Reid and M. A. Vaughan, 2019: “A bulk-mass-modeling-based method for retrieving Particulate Matter Pollution using CALIOP observations”, Atmos. Meas. Tech., 12, 1739-1754, https://doi.org/10.5194/amt-12-1739-2019.
     
  293. Tramutoli, V., F. Marchese, A. Falconieri, C. Filizzola, N. Genzano, K. Hattori, M. Lisi, J.-Y. Liu D. Ouzounov, M. Parrot, N. Pergola and S. Pulinets, 2019: “Tropospheric and Ionospheric Anomalies Induced by Volcanic and Saharan Dust Events as Part of Geosphere Interaction Phenomena”, Geosciences, 9, 177, https://doi.org/10.3390/geosciences9040177.
     
  294. Trepte, Q. Z., P. Minnis, S. Sun-Mack, C. R. Yost, Y. Chen, Z. Jin, F.-L. Chang, W. L. Smith Jr., K. M. Bedka and T. L. Chee, 2019: “Global cloud detection for CERES Edition 4 using Terra and Aqua MODIS data”, IEEE Trans. Geosci. Remote Sens., 57, 9410-9449, https://doi.org/10.1109/TGRS.2019.2926620.
     
  295. Tritscher, I., J.-U. Grooß, R. Spang, M. C. Pitts, L. R. Poole, R. Müller, and M. Riese, 2019: “Lagrangian simulation of ice particles and resulting dehydration in the polar winter stratosphere”, Atmos. Chem. Phys., 19, 543-563, https://doi.org/10.5194/acp-19-543-2019.
     
  296. Tsikerdekis, A., P. Zanis, A. K. Georgoulias, G. Alexandri, E. Katragkou, T. Karacostas and F. Solmon, 2019: “Direct and semi-direct radiative effect of North African dust in present and future regional climate simulations”, Clim. Dynam., 53, 4311-4336, https://doi.org/10.1007/s00382-019-04788-z.
     
  297. Varghese, M., T. V. Prabha, P. Murugavel, A. S. Anu, E. A. Resmi, G. Dinesh, Y. J. Rao, B. Nagare, P. D. Safai, S. Nair, K. Nandakumar, R. Vishnu and Y. B. Kumar, 2019: “Aerosol and cloud droplet characteristics over Ganges Valley during break phase of monsoon: A case study”, Atmos. Res., 220, 125-140, https://doi.org/10.1016/j.atmosres.2019.01.013.
     
  298. Varma, S., 2019: “Global and regional impacts of clouds on photolysis rates and atmospheric oxidants”, Ph.D. Thesis, Department of Physics, Imperial College London, 217 pp., https://doi.org/10.25560/76533.
     
  299. Vaughan, M., A. Garnier, D. Josset, M. Avery, K.-P. Lee, Z. Liu, W. Hunt, J. Pelon, Y. Hu, S. Burton, J. Hair, J. Tackett, B. Getzewich, J. Kar and S. Rodier, 2019: “CALIPSO Lidar Calibration at 1064 nm: Version 4 Algorithm”, Atmos. Meas. Tech., 12, 51-82, https://doi.org/10.5194/amt-12-51-2019.
     
  300. Vérèmes, H., C. Listowski, J. Delanoë, C. Barthe, P. Tulet, F. Bonnardot and D. Roy, 2019: “Spatial and seasonal variability of clouds over the South-West Indian Ocean based on the DARDAR mask product”, Q. J. Roy. Meteorol. Soc., 145, 3561-3576, https://doi.org/10.1002/qj.3640.
     
  301. Vial, J., R. Vogel, S. Bony, B. Stevens, D. M. Winker, X. Cai, C. Hohenegger, A. K. Naumann, and H. Brogniez, 2019: “A new look at the daily cycle of tradewind cumuli”, JAMES, 11, 3148-3166, https://doi.org/10.1029/2019MS001746.
     
  302. Voigt, A., N. Albern and G. Papavasileiou, 2019: “The atmospheric pathway of the cloud-radiative impact on the circulation response to global warming: important and uncertain”, J. Climate, 32, 3051-3067, https://doi.org/10.1175/JCLI-D-18-0810.1.
     
  303. Wang C., S. Platnick, T. Fauchez, K. Meyer, Z. Zhang, H. Iwabuchi and B. H. Kahn, 2019: “An assessment of the impacts of cloud vertical heterogeneity on global ice cloud data records from passive satellite retrievals”, J. Geophys. Res. Atmos., 124, 1578-1595, https://doi.org/10.1029/2018JD029681.
     
  304. Wang, J., C. Liu, B. Yao, M. Min, H. Letu, Y. Yin and Y. L. Yung, 2019: “A multilayer cloud detection algorithm for the Suomi-NPP Visible Infrared Imager Radiometer Suite (VIIRS)”, Remote Sens. Environ., 227, 1-11, https://doi.org/10.1016/j.rse.2019.02.024.
     
  305. Wang, L., Y. Zheng, C. Liu, Z. Niu, J. Xu, W. Chen and R. Jiang, 2019: “Combination of AIRS Dual CO2 Absorption Bands to Develop an Ice Clouds Detection Algorithm in Different Atmospheric Layers”, Remote Sens., 12, 6, https://doi.org/10.3390/rs12010006.
     
  306. Wang, T., D. L. Wu, J. Gong and V. Tsai, 2019: “Tropopause laminar cirrus and its role in the lower stratosphere total water budget”, J. Geophys. Res. Atmos., 124, 7034-7052, https://doi.org/10.1029/2018JD029845.
     
  307. Wang, W., C. S. Zender, D. van As and N. B. Miller, 2019: “Spatial Distribution of Melt Season Cloud Radiative Effects Over Greenland: Evaluating Satellite Observations, Reanalyses, and Model Simulations Against In Situ Measurements”, J. Geophys. Res. Atmos., 124, 57-71, https://doi.org/10.1029/2018JD028919.
     
  308. Wang, X., A. E. Dessler, M. R. Schoeberl, W. Yu and T. Wang, 2019: “Impact of convectively lofted ice on the seasonal cycle of tropical lower stratospheric water vapor”, Atmos. Chem. Phys., 19, 14621-14636, https://doi.org/10.5194/acp-19-14621-2019.
     
  309. Wang, Y.-T., Q.-C. Li, Z.-F. Zheng and Y.-J. Dou, 2019: “Research on the Pollution Characteristics and Causality of Haze-sand Air Pollution in Beijing in Spring”, Environm. Sci., 40, 2582-2594, https://doi.org/10.13227/j.hjkx.201809039.
     
  310. Wang, Y., Z. Wang, C. Yu, S. Zhu, L. Cheng, Y. Zhang and L. Chen, 2019: “Validation of OMI HCHO Products Using MAX-DOAS observations from 2010 to 2016 in Xianghe, Beijing: Investigation of the Effects of Aerosols on Satellite Products”, Remote Sens., 11, 203, https://doi.org/10.3390/rs11020203.
     
  311. Wang, Z., H. Letu, H. Shang, C. Zhao, J. Li and R. Ma, 2019: “A Supercooled Water Cloud Detection Algorithm Using Himawari-8 Satellite Measurements”, J. Geophys. Res. Atmos., 124, 2724-2738, https://doi.org/10.1029/2018JD029784.
     
  312. Ward, E., 2019: “Use of remote sensing and in situ observations of the atmosphere in chemical transport models”, Ph.D. Thesis, Department of Space, Earth and Environment, Chalmers University of Technology, 47 pp., ISBN 978-91-7905-133-4 [see https://research.chalmers.se/en/publication/510332].
     
  313. Wei, T., Z. Dong, S. Kang, C. Zong, M. Rostami and Y. Shao, 2019: “Atmospheric deposition and contamination of trace elements in snowpacks of mountain glaciers in the northeastern Tibetan Plateau”, Sci. Total Environ., 689, 754-764, https://doi.org/10.1016/j.scitotenv.2019.06.455.
     
  314. Weimer, M., 2019: “Towards Seamless Simulations of Polar Stratospheric Clouds and Ozone in the Polar Stratosphere with ICON-ART”, Ph.D. Thesis, Faculty of Physics, Karlsruher Instituts für Technologie, 165 pp., https://doi.org/10.5445/IR/1000100338.
     
  315. West, T. K., W. J. Steenburgh and G. G. Mace, 2019: “Characteristics of Sea-Effect Clouds and Precipitation over the Sea of Japan Region as Observed by A-Train Satellites”, J. Geophys. Res. Atmos., 124, 1322-1335, https://doi.org/10.1029/2018JD029586.
     
  316. Wu, M., X. Liu, K. Yang, T. Luo, Z. Wang, C. Wu, K. Zhang, H. Yu and A. Darmenov, 2019: “Modeling Dust in East Asia by CESM and Sources of Biases”, J. Geophys. Res. Atmos., 124, 8043-8064, https://doi.org/10.1029/2019JD030799.
     
  317. Wu, Y., K. Zhao, J. Huang, M. Arend, B. Gross and F. Moshary, 2019: “Observation of heat wave effects on the urban air quality and PBL in New York City area”, Atmos. Environ., 218, 117024, https://doi.org/10.1016/j.atmosenv.2019.117024.
     
  318. Xiao, Y.-F., J. Zhang and P. Qin, 2019: “An Algorithm for Daytime Sea Fog Detection over the Greenland Sea Based on MODIS and CALIOP Data”, J. Coastal Res., 90, 95-103, https://doi.org/10.2112/SI90-012.1.
     
  319. Xie, X., 2 X. Zhang, Y. Wang, R. Lyu, G. Zhou, T. Cheng, Y. Liu, Y. Peng, Q. He, W. Gao, X. Li and Q. Zhang, 019: “Effects of Shipping-originated Aerosols on Physical Cloud Properties over Marine Areas near East China”, Aerosol Air. Qual. Res., 19, 1471-1482, https://doi.org/10.4209/aaqr.2018.11.0415.
     
  320. Xie, Y., Y. Wang, W. Dong, J. S. Wright, L. Shen and Z. Zhao, 2019: “Evaluating the response of summertime surface sulfate to hydroclimate variations in the continental US: role of meteorological inputs in the GEOS‐Chem model”, J. Geophys. Res. Atmos., 124, 1662-1679, https://doi.org/10.1029/2018JD029693.
     
  321. Xu, F., J. Ma, S. Wu and Z. Li, 2019: “Identification of Smoke and Polluted Clouds Based on Polarized Satellite Images”, JQSRT, 224, 343-354, https://doi.org/10.1016/j.jqsrt.2018.11.019.
     
  322. Xu, J., F. Han, L. Mingzhu, Z. Zhang, D. Xiaohui and P. Wei, 2019: “On the opposite seasonality of MODIS AOD and surface PM2.5 over the Northern China plain”, Atmos. Environ., 215, 116909, https://doi.org/10.1016/j.atmosenv.2019.116909.
     
  323. Xu, J., J. Jia, F. Han, Z. Zhang, D. Xiaohui and P. Wei, 2019: “Trans-pacific aerosol vertical structure revealed by spaceborne lidar CALIOP”, Atmos. Environ., 201, 92-100, https://doi.org/10.1016/j.atmosenv.2018.12.035.
     
  324. Xu, J., D. Liu, Z. Wang, D. Wu, S. Yu and Y. Wang, 2019: “A Study of the Characteristics of Vertical Cloud Base Height Distribution over Eastern China”, Atmosphere, 10, 307, https://doi.org/10.3390/atmos10060307.
     
  325. Xu, X., J. Wang, Y. Wang, J. Zeng, O. Torres, J. S. Reid, S. D. Miller, J. V. Martins, and L. A. Remer, 2018: “Detecting layer height of smoke aerosols over vegetated land and water surfaces via oxygen absorption bands: Hourly results from EPIC/DSCOVR satellite in deep space”, Atmos. Meas. Tech., 12, 3269-3288, https://doi.org/10.5194/amt-12-3269-2019.
     
  326. Yan, Y. and Y. Liu, 2019: “Vertical Structures of Convective and Stratiform Clouds in Boreal Summer over the Tibetan Plateau and Its Neighboring Regions”, Adv. Atmos. Sci., 36, 1089-1102, https://doi.org/10.1007/s00376-019-8229-4.
     
  327. Yang, L., S. Mukherjee, G. Pandithurai, V. Waghmare and P. D. Safai, 2019: “Influence of dust and sea-salt sandwich effect on precipitation chemistry over the Western Ghats during summer monsoon”, Sci. Rep., 9, 19171, https://doi.org/10.1038/s41598-019-55245-0.
     
  328. Yang, Q., F. Zhang, H. Zhang, Z. Wang, J. Li, K. Wu, Y. Shi and Y. Peng, 2019: “Assessment of Two Two-stream Approximations in a Climate Model”, JQSRT, 225, 25-34, https://doi.org/10.1016/j.jqsrt.2018.12.016.
     
  329. Yang, W., 2019: “Non-adiabatic heating structure of tropical cloud system”, M.S. Thesis, Nanjing University [in Chinese; see http://cdmd.cnki.com.cn/Article/CDMD-10284-1019116628.htm].
     
  330. Yang, Y., X.-M. Hu, S. Gao and Y. Wang, 2019: “Sensitivity of WRF simulations with the YSU PBL scheme to the lowest model level height for a sea fog event over the Yellow Sea”, Atmos. Res., 215, 253-267, https://doi.org/10.1016/j.atmosres.2018.09.004.
     
  331. Yao, J., 2019: “Assessing sub-daily exposure to wildfire smoke and its public health effects in British Columbia”, Ph.D. Thesis, University of British Columbia, 140 pp. [see https://doi.org/10.14288/1.0383432].
     
  332. Yao, Z., J. Li, Z. Zhao, L. Zhu, J. Qi and H. Che, 2019: “Extracting Taklimakan Dust Parameters from AIRS with Artificial Neural Network Method”, Remote Sens., 11, 2931, https://doi.org/10.3390/rs11242931.
     
  333. Yi, L., K.-F. Li, X. Chen and K.-K. Tung, 2019: “Arctic Fog Detection Using Infrared Spectral Measurements”, J. Atmos. Oceanic Technol., 36, 1643-1656, https://doi.org/10.1175/JTECH-D-18-0100.1.
     
  334. Yi, M., 2019: “Differences in Cloud Vertical Structures between the Tibetan Plateau and Eastern China Plains during Rainy Season as Measured by CloudSat/CALIPSO”, Adv. Meteorol., 2019, 6292930, https://doi.org/10.1155/2019/6292930.
     
  335. Yoon, J.-E., J.-H. Lim, J.-M. Shim, J.-I. Kwon and I.-N. Kim. 2019: “Spring 2018 Asian Dust Events: Sources, Transportation, and Potential Biogeochemical Implications”, Atmosphere, 10, 276, https://doi.org/10.3390/atmos10050276.
     
  336. Yu, H., Q. Tan, M. Chin, L. A. Remer, R. A. Kahn, H. Bian, D. Kim, Z. Zhang, T. Yuan, A. H. Omar, D. M. Winker, R. Levy, O. Kalashnikova, L. Crepeau, V. Capelle and A. Chédin, 2019: “Estimates of African Dust Deposition Along the Trans-Atlantic Transit Using the Decade-long Record of Aerosol Measurements from CALIOP, MODIS, MISR, and IASI”, J. Geophys. Res. Atmos., 124, 7975-7996, https://doi.org/10.1029/2019JD030574.
     
  337. Yu, P., O. B. Toon, C. G. Bardeen, Y. Zhu, K. H. Rosenlof, R. W. Portmann, T. D. Thornberry, R.-S. Gao, S. M. Davis, E. T. Wolf, J. de Gouw, D. A. Peterson, M. D. Fromm and A. Robock, 2019: “Black carbon lofts wildfire smoke high into the stratosphere to form a persistent plume”, Science, 365, 587-590, https://doi.org/10.1126/science.aax1748.
     
  338. Yu, S. and D. Wu, 2019: “Methods of Ocean Subsurface Particulate Backscatter Coefficient Retrieval from CALIOP Measurements”, Journal of Atmospheric and Environmental Optics, 14, 367-373 (see http://www.opticsjournal.net/Articles/Abstract?aid=OJ191014000014Yu1x4A).
     
  339. Yu, Y., P. C. Taylor and M. Cai, 2019: “Seasonal variations of Arctic low-level clouds and its linkage to sea ice seasonal variations”, J. Geophys. Res. Atmos., 124, 12206-12226, https://doi.org/10.1029/2019JD031014.
     
  340. Yuan, C., 2019: “Study on the Relationship between the Formation Mechanism of Asian Tropospheric Aerosol Layer (ATAL) and the Asian Summer Monsoon”, Ph.D. Thesis, Nanjing University [in Chinese; see http://cdmd.cnki.com.cn/Article/CDMD-10284-1019091869.htm].
     
  341. Yuan, T., S. Chen, J. Huang, D. Wu, H. Lu, G. Zhang, X. Ma, Z. Chen, Y. Luo and X. Ma, 2019: “Influence of dynamic and thermal forcing on the meridional transport of Taklimakan Desert dust in spring and summer”, J. Climate, 32, 749-767, https://doi.org/10.1175/JCLI-D-18-0361.1.
     
  342. Yuan, T., S. Chen, J. Huang, X. Zhang, Y. Luo, X. Ma and G. Zhang, 2019: “Sensitivity of simulating a dust storm over Central Asia to different dust schemes using the WRF-Chem model”, Atmos. Environ., 207, 16-29, https://doi.org/10.1016/j.atmosenv.2019.03.014.
     
  343. Yumimoto, K., T. Y. Tanaka, M. Yoshida, M. Kikuchi, T. M. Nagao, H. Murakami and T. Maki, 2019: “Assimilation and Forecasting Experiment for Heavy Siberian Wildfire Smoke in May 2016 with Himawari-8 Aerosol Optical Thickness”, J. Meteorol. Soc. Jpn., 96B, 133-149, https://doi.org/10.2151/jmsj.2018-035.
     
  344. Zahedi Asl, S., A. Farid and Y.-S. Choi, 2019: “Assessment of CALIOP and MODIS aerosol products over Iran to explore air quality”, Theor. Appl. Climatol., 137, 117-131, https://doi.org/10.1007/s00704-018-2555-9.
     
  345. Zeb, B., 2019: “Characterization, Properties and Climatic Implications of Aerosols in Northern Pakistan”, Ph.D. Thesis, Department of Physics, University of Malakand, 141 pp. [see http://prr.hec.gov.pk/jspui/handle/123456789/10114].
     
  346. Zeb, B., K. Alam, A. Sorooshian, F. Chishtie, I. Ahmad and H. Bibi, 2019: “Temporal characteristics of aerosol optical properties over the glacier region of northern Pakistan”, J. Atmos. Sol.-Terr. Phy., 186, 35-46, https://doi.org/10.1016/j.jastp.2019.02.004.
     
  347. Zeng, S., M. Vaughan, Z. Liu, C. Trepte, J. Kar, A. Omar, D. Winker, P. Lucker, Y. Hu, B. Getzewich and M. Avery, 2019: “Application of High-Dimensional Fuzzy K-mean Cluster Analysis to CALIOP/CALIPSO Version 4.1 Feature Classifications”, Atmos. Meas. Tech., 12, 2261-2285, https://doi.org/10.5194/amt-12-2261-2019.
     
  348. Zhang, C., X. Sun, R. Zhang, S. Zhao, W. Lu, Y. Liu and Z. Fan, 2019: “Impact of solar background radiation on the accuracy of wind observations of spaceborne Doppler wind lidars based on their orbits and optical parameters”, Opt. Express, 27, A936-A952, https://doi.org/10.1364/OE.27.00A936.
     
  349. Zhang, G. J., X. Song and Y. Wang, 2019: “The double ITCZ syndrome in GCMs: A coupled feedback problem among convection, clouds, atmospheric and ocean circulations”, Atmos. Res., 229, 255-268, https://doi.org/10.1016/j.atmosres.2019.06.023.
     
  350. Zhang, J., S. L. Jaker, J. S. Reid, S. D. Miller, J. Solbrig, and T. D. Toth, 2019: “Characterization and application of artificial light sources for nighttime aerosol optical depth retrievals using the VIIRS Day/Night Band”, Atmos. Meas. Tech., 12, 3209-3222, https://doi.org/10.5194/amt-12-3209-2019.
     
  351. Zhang, J., X. Xia, X. Zong, X. Fan, H. Chen and J. Li, 2019: “Dust Properties and Radiative Impacts at a Suburban Site during 2004-2017 in the North China Plain”, Remote Sens., 11, 1842, https://doi.org/10.3390/rs11161842.
     
  352. Zhang, M., J. Liu, M. Bilal, C. Zhang, F. Zhao, X. Xie and K. M. Khedher, 2019: “Optical and Physical Characteristics of the Lowest Aerosol Layers over the Yellow River Basin”, Atmosphere, 10, 638, https://doi.org/10.3390/atmos10100638.
     
  353. Zhang, P. and D. Wu, 2019: “Daytime Sea Fog Detection Method Using Himawari-8 Data”, Journal of Atmospheric and Environmental Optics, 14, 211-220 [in Chinese; see http://www.opticsjournal.net/Articles/Abstract?aid=OJ190720000089FbIeLh].
     
  354. Zhang, W., 2019: “Development and Application of HECORA Cloud Inversion Algorithm Based on Hyperspectral Satellite Data”, M.S. Thesis, University of Science and Technology of China [in Chinese; see http://cdmd.cnki.com.cn/Article/CDMD-10358-1019132532.htm].
     
  355. Zhang, W., S. Deng, T. Luo, Y. Wu, N. Liu, X. Li, Y. Huang and W. Zhu, 2019: “New Global View of Above-Cloud Absorbing Aerosol Distribution Based on CALIPSO Measurements”, Remote Sens., 11, 2396, https://doi.org/10.3390/rs11202396.
     
  356. Zhang, X., S.-C. Tan, G.-Y. Shi and H. Wang, 2019: “Improvement of MODIS cloud mask over severe polluted eastern China”, Sci. Total Environ., 654, 345-355, https://doi.org/10.1016/j.scitotenv.2018.10.369.
     
  357. Zhang, Y., G. Luo and F. Yu, 2019: “Seasonal variations and long-term trend of dust particle number concentration over the Northeastern United States”, J. Geophys. Res. Atmos., 124, 13140-13155, https://doi.org/10.1029/2019JD031388.
     
  358. Zhang, Y., J. Wang and L. Bu, 2019: “Analysis of a Haze Event over Nanjing, China Based on Multi-Source Data”, Atmosphere, 10, 338, https://doi.org/10.3390/atmos10060338.
     
  359. Zhang, Y., S. Xie, W. Lin, S. A. Klein, M. Zelinka, P.-L. Ma, P. J. Rasch, Y. Qian, Q. Tang and H.-Y. Ma, 2019: “Evaluation of Clouds in Version 1 of the E3SM Atmosphere Model with Satellite Simulators”, JAMES, 11, 1253-1268, https://doi.org/10.1029/2018MS001562.
     
  360. Zhang, Y., C. Zhao, K. Zhang, J. Ke, H. Che, X. Shen, Z. Zheng and D. Liu, 2019: “Retrieving the microphysical properties of opaque liquid water clouds from CALIOP measurements”, Opt. Express, 27, 34126-34140, https://doi.org/10.1364/OE.27.034126.
     
  361. Zhang, Z., J. Huang, B. Chen, Y. Yi, J. Liu, J. Bi, T. Zhou, Z. Huang and S. Chen, 2019: “Three‐Year Continuous Observation of Pure and Polluted Dust Aerosols Over Northwest China Using the Ground‐Based Lidar and Sun Photometer Data”, J. Geophys. Res. Atmos., 124, 1118-1131, https://doi.org/10.1029/2018JD028957.
     
  362. Zhang, Z., Y. Ma, N. Xu, S. Li, J. Sun and X. H. Wang, 2019: “Theoretical background noise rate over water surface for a photon-counting lidar and its application in land and sea cover classification”, Opt. Express, 27, A1490-A1505, https://doi.org/10.1364/OE.27.0A1490.
     
  363. Zhang, Z., W. Zhou and L. Yang, 2019: “Analysis of dust wet deposition in the mid-latitudes of the Northern Hemisphere”, Air. Qual. Atmos. Health, 12, 217-227, https://doi.org/10.1007/s11869-018-0652-7.
     
  364. Zhao, B., Y. Wang, Y. Gu, K.-N. Liou, J. H. Jiang, J. Fan, X. Liu, L. Huang and Y. L. Yung, 2019: “Ice nucleation by aerosols from anthropogenic pollution”, Nat. Geosci., 12, 602-607, https://doi.org/10.1038/s41561-019-0389-4.
     
  365. Zhou, Y, Y. Zhang, X. Rong, J. Li, and R. Yi, 2019: “Performance of CAMS-CSM in Simulating Shortwave Cloud Radiative Effect over Global Stratus Cloud Regions: Baseline Evaluation and Sensitivity Test”, J. Meteor. Res., 33, 651-665, https://doi.org/10.1007/s13351-019-8206-y.
     
  366. Zhu, J., X. Xia, H. Che, J. Wang, Z. Cong, T. Zhao, S. Kang, X. Zhang, X. Yu, and Y. Zhang, 2019: “Spatiotemporal variation of aerosol and potential long-range transport impact over the Tibetan Plateau, China”, Atmos. Chem. Phys., 19, 14637-14656, https://doi.org/10.5194/acp-19-14637-2019.
     
  367. Zuev, V. V., V. V. Gerasimov, A. V. Nevzorov and E. S. Savelieva, 2019: “Lidar observations of pyrocumulonimbus smoke plumes in the UTLS over Tomsk (Western Siberia, Russia) from 2000 to 2017”, Atmos. Chem. Phys., 19, 3341-3356, https://doi.org/10.5194/acp-19-3341-2019.
     

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Published in 2018
  1. Adebiyi, A. A. and P. Zuidema, 2018: “Low cloud cover sensitivity to biomass-burning aerosols and meteorology over the southeast Atlantic”, J. Climate, 31, 4329-4346, https://doi.org/10.1175/JCLI-D-17-0406.1.
     
  2. Ahlgrimm, M., R. Forbes, R. J. Hogan and I. Sandu, 2018: “Understanding global model systematic shortwave radiation errors in subtropical marine boundary layer cloud regimes”, J. Adv. Model. Earth Syst., 10, 2042-2060, https://doi.org/10.1029/2018MS001346.
     
  3. Ahn, E., Y. Huang, S. T. Siems and M. J. Manton, 2018: “A comparison of cloud microphysical properties derived from MODIS and CALIPSO with in-situ measurements over the wintertime Southern Ocean”, J. Geophys. Res. Atmos., 123, 11,120-11,140, https://doi.org/10.1029/2018JD028535.
     
  4. Akinyoola, J. A., E. O. Eresanya, O. O. I. Orimoogunje and K. Oladosu, 2018: “Monitoring the spatio-temporal aerosol loading over Nigeria”, Model. Earth Syst. Environ., 4, 1365-1375, https://doi.org/10.1007/s40808-018-0485-2.
     
  5. Alamirew, N. K., M. C. Todd, C. L. Ryder, J. M. Marsham, and Y. Wang, 2018: “The summertime Saharan heat low: Sensitivity of the radiation budget and atmospheric heating to water vapor and dust aerosol”, Atmos. Chem. Phys., 18, 1241-1262, https://doi.org/10.5194/acp-18-1241-2018.
     
  6. Alexander, S. P. and A. Protat, 2018: “Cloud properties observed from the surface and by satellite at the northern edge of the Southern Ocean”, J. Geophys. Res. Atmos., 123, 443-456, https://doi.org/10.1002/2017JD026552.
     
  7. Alston, E. J. and I. N. Sokolik, 2018: “Assessment of Aerosol Radiative Forcing with 1-D Radiative Transfer Modeling in the U. S. South-East”, Atmosphere, 9, 271, https://doi.org/10.3390/atmos9070271.
     
  8. Anand, N., K. Sunilkumar, S. K. Satheesh and K. K. Moorthy, 2018: “Distinctive roles of elevated absorbing aerosol layers on Free-Space Optical Communication systems”, Appl. Opt., 57, 7152-7158, https://doi.org/10.1364/AO.57.007152.
     
  9. Arteaga, L., N. Haëntjens, Emmanuel Boss, K. S. Johnson and J. L. Sarmiento, 2018: “Assessment of Export Efficiency Equations in the Southern Ocean Applied to Satellite-Based Net Primary Production”, J. Geophys. Res. Atmos., 123, 2945-2964, https://doi.org/10.1002/2018JC013787.
     
  10. Bai, H., C. Gong, M. Wang, Z. Zhang, and T. L’Ecuyer 2018: “Estimating precipitation susceptibility in warm marine clouds using multi-sensor aerosol and cloud products from A-Train satellites”, Atmos. Chem. Phys., 18, 1763-1783, https://doi.org/10.5194/acp-18-1763-2018.
     
  11. Baker, K. R., M. C. Woody, L. Valin, J. Szykman, E. L. Yates, L. T. Iraci, H. D. Choi, A. J. Soja, S. N. Koplitz, L. Zhou, P. Campuzano-Jost, J. L. Jimenez and J. W. Hair, 2018: “Photochemical model evaluation of 2013 California wild fire air quality impacts using surface, aircraft, and satellite data”, Sci. Total Environ., 637-638, 1137-1149, https://doi.org/10.1016/j.scitotenv.2018.05.048.
     
  12. Balmes, K. A. and Q. Fu, 2018: “An Investigation of Optically Very Thin Ice Clouds from Ground-Based ARM Raman Lidars”, Atmosphere, 9, 445, https://doi.org/10.3390/atmos9110445.
     
  13. Balmes, K. A., 2018: “Differences in Ice Cloud Optical Depth from CALIPSO and Ground-Based Raman Lidar at the ARM SGP and TWP Sites”, M.S. Thesis, Department of Atmospheric Sciences, University of Washington [see https://digital.lib.washington.edu/researchworks/handle/1773/42191].
     
  14. Baylon, P., D. A. Jaffe, S. R. Hall, K. Ullmann, M. J. Alvarado, and B. L. Lefer, 2018: “Impact of biomass burning plumes on photolysis rates and ozone formation at the Mount Bachelor Observatory”, J. Geophys. Res. Atmos., 123, 2272-2284, https://doi.org/10.1002/2017JD027341.
     
  15. Bojanowski, J. S., R. Stöckli, A. Duguay-Tetzlaff, S. Finkensieper and R. Hollmann, 2018: “Performance Assessment of the COMET Cloud Fractional Cover Climatology across Meteosat Generations”, Remote Sens., 10, 804, https://doi.org/10.3390/rs10050804.
     
  16. Bourgeois, E., D. Bouniol, F. Couvreux, F. Guichard, J. Marsham, L. Garcia-Carreras, C. Birch, and D. Parker, 2018: “Characteristics of mid-level clouds over West Africa”, Q. J. Roy. Meteorol. Soc., 144, 426-442, https://doi.org/10.1002/qj.3215.
     
  17. Bourgeois, Q., A. M. L. Ekman, J.-B. Renard, R. Krejci, A. Devasthale, F. A.-M. Bender, I. Riipinen, G. Berthet, and J. L. Tackett, 2018: “How much of the global aerosol optical depth is found in the boundary layer and free troposphere?”, Atmos. Chem. Phys., 18, 7709-7720, https://doi.org/10.5194/acp-18-7709-2018.
     
  18. Brakhasi, F., A. Matkan, M. Hajeb and K. Khoshelham, 2018: “Atmospheric scene classification using CALIPSO spaceborne lidar measurements in the Middle East and North Africa (MENA), and India”, Int. J. Appl. Earth. Obs., 73, 721-735, https://doi.org/10.1016/j.jag.2018.07.017.
     
  19. Bran, S. H., S. Jose and R. Srivastava, 2018: “Investigation of optical and radiative properties of aerosols during an intense dust storm: A regional climate modeling approach”, J. Atmos. Sol.-Terr. Phy., 168, 21-31, https://doi.org/10.1016/j.jastp.2018.01.003.
     
  20. Brocchi, V., G. Krysztofiak, V. Catoire, J. Guth, V. Marécal, R. Zbinden, L. El Amraoui, F. Dulac and P. Ricaud, 2018: “Intercontinental transport of biomass burning pollutants over the Mediterranean Basin during the summer 2014 ChArMEx-GLAM airborne campaign”, Atmos. Chem. Phys., 18, 6887-6906, https://doi.org/10.5194/acp-18-6887-2018.
     
  21. Butt, F. M., M. I. Shahzad, S. Khalid, N. Iqbal, A. Rasheed and G. Raza, 2018: “Comparison of Aerosol Optical Depth Products from Multi-Satellites over Densely Populated Cities of Pakistan”, International Letters of Natural Sciences, 69, 12-24, https://doi.org/10.18052/www.scipress.com/ILNS.69.12.
     
  22. Caffrey, P. F., M. D. Fromm and G. P. Kablick, 2018: “WRF-Chem Simulation of an East Asian Dust-Infused Baroclinic Storm (DIBS)”, J. Geophys. Res. Atmos., 123, 6880-6895, https://doi.org/10.1029/2017JD027848.
     
  23. Campbell, J. R., D. A. Peterson, J. W. Marquis, G. J. Fochesatto, M. A. Vaughan, S. A. Stewart, J. L. Tackett, S. Lolli, J, R. Lewis, M. I. Oyola and E. J. Welton, 2018: “Unusually Deep Wintertime Cirrus Clouds Observed over the Alaskan Sub-Arctic”, B. Am. Meteorol. Soc., 99, 27-32, https://doi.org/10.1175/BAMS-D-17-0084.1.
     
  24. Cao, Y., W. Zhang and W. Wang, 2018: “Spatial-temporal characteristics of haze and vertical distribution of aerosols over the Yangtze River Delta of China”, J. Environ. Sci., 66, 12-19, https://doi.org/10.1016/j.jes.2017.05.039.
     
  25. Cermak, J., 2018: “Fog and Low Cloud Frequency and Properties from Active-Sensor Satellite Data”, Remote Sens., 10, 1209, https://doi.org/10.3390/rs10081209.
     
  26. Chazette, P., J.-C. Raut, and J. Totems, 2018: “Springtime aerosol load as observed from ground-based and airborne lidars over Northern Norway”, Atmos. Chem. Phys., 18, 13075-13095, https://doi.org/10.5194/acp-18-13075-2018.
     
  27. Chen, N., W. Li, C.s Gatebe, T. Tanikawa, M. Hori, R. Shimada, T. Aoki and K. Stamnes, 2018: “New neural network cloud mask algorithm based on radiative transfer simulations”, Remote Sens. Environ., 219, 62-71, https://doi.org/10.1016/j.rse.2018.09.029.
     
  28. Chen, S.-P., C.-H. Lu, J. McQueen and P. Lee, 2018: “Application of satellite observations in conjunction with aerosol reanalysis to characterize long-range transport of African and Asian dust on air quality in the contiguous U.S.”, Atmos. Environ., 187, 174-195, https://doi.org/10.1016/j.atmosenv.2018.05.038.
     
  29. Chen, W., S. Zhang, Q. Tong, X. Zhang, H. Zhao, S. Ma, A. Xiu and Y. He, 2018: “Regional Characteristics and Causes of Haze Events in Northeast China”, Chinese Geogr. Sci., https://doi.org/10.1007/s11769-018-0965-3.
     
  30. Chen, Y. and Y. Fu, 2018: “Tropical echo-top height for precipitating clouds observed by multiple active instruments aboard satellites”, Atmos. Res., 199, 54-61, https://doi.org/10.1016/j.atmosres.2017.08.008.
     
  31. Chepfer, H., V. Noel, M. Chiriaco, B. Wielicki, D. Winker, N. Loeb and R. Wood, 2018: “The potential of a multi-decades space-borne lidar record to constrain cloud feedbacks”, J. Geophys. Res. Atmos., 123, 5433-5454, https://doi.org/10.1002/2017JD027742.
     
  32. Chimot, J., J. P. Veefkind, T. Vlemmix, and P. F. Levelt, 2018: “Spatial distribution analysis of the OMI aerosol layer height: a pixel-by-pixel comparison to CALIOP observations”, Atmos. Meas. Tech., 11, 2257-2277, https://doi.org/10.5194/amt-11-2257-2018.
     
  33. Choi S., N. Theys, R. J. Salawitch, P. A. Wales, J. Joiner, T. P. Canty, K. Chance, R. M. Suleiman, S. P. Palm, R. I. Cullather, A. S. Darmenov, A. da Silva, T. P. Kurosu, F. Hendrick and M. Van Roozendael, 2018: “Link Between Arctic Tropospheric BrO Explosion Observed From Space and Sea-Salt Aerosols From Blowing Snow Investigated Using Ozone Monitoring Instrument BrO Data and GEOS-5 Data Assimilation System”, J. Geophys. Res. Atmos., 123, 6954-6983, https://doi.org/10.1029/2017JD026889.
     
  34. Chowdhury, S., S. Dey and K. R. Smith, 2018: “Ambient PM2.5 exposure and expected premature mortality to 2100 in India under climate change scenarios”, Nat. Commun., 9, 318, https://doi.org/10.1038/s41467-017-02755-y.
     
  35. Cohen, J. B., D. H. L. Ng, A. W. L. Lim and X. R. Chua, 2018: “Vertical distribution of aerosols over the Maritime Continent during El Niño”, Atmos. Chem. Phys., 18, 7095-7108, https://doi.org/10.5194/acp-18-7095-2018.
     
  36. Crowell, S. M. R., S. R. Kawa, E. V. Browell, D. M. Hammerling, B. Moore, B. K. Schaefer and S. C. Doney, 2018: “On the Ability of Space-Based Passive and Active Remote Sensing Observations of CO2 to Detect Flux Perturbations to the Carbon Cycle”, J. Geophys. Res. Atmos., 123, 1460-1477, https://doi.org/10.1002/2017JD027836.
     
  37. Crueger, T., M. A. Giorgetta, R. Brokopf, M. Esch, S. Fiedler , C. Hohenegger, L. Kornblueh, T. Mauritsen, C. Nam, A. K. Naumann, K. Peters, S. Rast, E. Roeckner, M. Sakradzija, H. Schmidt, J. Vial, R. Vogel and B. Stevens, 2018: “ICON-A: the atmospheric component of the ICON Earth System Model. Part II: Model evaluation”, JAMES, 10, 1638-1662, https://doi.org/10.1029/2017MS001233.
     
  38. Dai, G., S. Wu and X. Song, 2018: “Depolarization Ratio Profiles Calibration and Observations of Aerosol and Cloud in the Tibetan Plateau Based on Polarization Raman Lidar”, Remote Sensing, 10, 378, https://doi.org/10.3390/rs10030378.
     
  39. Das, S., 2018: “The Influence of Biomass Burning Aerosols on Stratocumulus Clouds Over the South-East Atlantic”, Ph.D. Thesis, Department of Earth, Atmospheric and Planetary Sciences, Purdue University [see https://docs.lib.purdue.edu/dissertations/AAI10748134/].
     
  40. de Bruine, M., M. Krol, T. van Noije, P. Le Sager and T. Röckmann, 2018: “The impact of precipitation evaporation on the atmospheric aerosol distribution in EC-Earth v3.2.0”, Geosci. Model Dev., 11, 1443-1465, https://doi.org/10.5194/gmd-11-1443-2018.
     
  41. de Leeuw, G., L. Sogacheva, E. Rodriguez, K. Kourtidis, A. K. Georgoulias, G. Alexandri, V. Amiridis, E. Proestakis, E. Marinou, Y. Xue and R. van der A, 2018: “Two decades of satellite observations of AOD over mainland China using ATSR-2, AATSR and MODIS/Terra: data set evaluation and large-scale patterns”, Atmos. Chem. Phys., 18, 1573-1592, https://doi.org/10.5194/acp-18-1573-2018.
     
  42. Delgadillo, R., K. J. Voss and P. Zuidema, 2018: “Characteristics of optically-thin coastal Florida cumuli derived from surface-based lidar measurements”, J. Geophys. Res. Atmos., 123, 10,591-10,605, https://doi.org/10.1029/2018JD028867.
     
  43. de Oliveira, N. P. M., 2018: “Evaluation of the Lidar Ratio products retrieved by CALIPSO Satellite using the Aerosol Optical Depth obtained by the AERONET sunphotometer from Petrolina/PE - Brazil”, Masters Thesis, Department of Climate Sciences, Federal University of Rio Grande do Norte, 76 pp. [see https://repositorio.ufrn.br/jspui/handle/123456789/25836?mode=full].
     
  44. Deng, M., G. G. Mace, Z. Wang, F. Li and Y. Luo, 2018: “Partitioning Ice Water Content from Retrievals and Its Application in Model Comparison”, J. Climate, 75, 1105-1120, https://doi.org/10.1175/JAS-D-17-0017.1.
     
  45. Di Biagio, C., J. Pelon, G. Ancellet, A. Bazureau, and V. Mariage, 2018: “Sources, load, vertical distribution, and fate of wintertime aerosols north of Svalbard from combined V4 CALIOP data, ground-based IAOOS lidar observations and trajectory analysis”, J. Geophys. Res. Atmos., 123, 1363-1383, https://doi.org/10.1002/2017JD027530.
     
  46. Dietlicher, R., 2018: “Ice clouds: from ice crystals to their response in a warming climate”, Ph.D. Thesis, Department of Environmental Systems Science, Institute of Atmospheric and Climate Science, ETH Zürich (Swiss Federal Institute of Technology, Zürich), 101 pp. [see https://doi.org/10.3929/ethz-b-000309518].
     
  47. Dolinar, E. K., 2018: “A Global Investigation Of Cloud-Radiative Properties Through An Integrative Analysis Of Observations And Model Simulations”, Ph.D. Thesis, Department of Atmospheric Sciences, University of North Dakota, 175 pp. [see https://commons.und.edu/theses/2200/].
     
  48. Domingos, J. M. R., 2018: “Geomagnetic and space weather variability modes in satellite data”, Ph.D. Thesis, Department of Physics, University of Coimbra, 150 pp. [see https://www.theses.fr/2018GREAU007].
     
  49. Dommo, A., N. Philippon, D. A. Vondou1, G. Sèze and R. Eastman, 2018: “The June-September low cloud cover in Western Central Africa: mean spatial distribution and diurnal evolution, and associated atmospheric dynamics”, J. Climate, 31, 9585-9603, https://doi.org/10.1175/JCLI-D-17-0082.1.
     
  50. Duc, H. N., L. T.-C. Chang, M. Azzi and N. Jiang, 2018: “Smoke aerosols dispersion and transport from the 2013 New South Wales (Australia) bushfires”, Environ. Monit. Assess., 190, 428, https://doi.org/10.1007/s10661-018-6810-4.
     
  51. Duncan, D. I. and P. Eriksson, 2018: “An update on global atmospheric ice estimates from satellite observations and reanalyses”, Atmos. Chem. Phys., 18, 11205-11219, https://doi.org/10.5194/acp-18-11205-2018.
     
  52. Eastman, R. and R. Wood, 2018: “The competing effects of stability and humidity on subtropical stratocumulus entrainment and cloud evolution from a Lagrangian perspective”, J. Atmos. Sci., 75, 2563-2578, https://doi.org/10.1175/JAS-D-18-0030.1.
     
  53. Fiddes, S. L., M. T. Woodhouse, Z. Nicholls, T. P. Lane and R. Schofield, 2018: “Cloud, precipitation and radiation responses to large perturbations in global dimethyl sulfide”, Atmos. Chem. Phys., 18, 10177-10198, https://doi.org/10.5194/acp-18-10177-2018.
     
  54. Filonchyk, M. and H. Yan, 2018: “The characteristics of air pollutants during different seasons in the urban area of Lanzhou, Northwest China”, Environ. Earth Sci., 77, 763, https://doi.org/10.1007/s12665-018-7925-1.
     
  55. Filonchyk, M., H. Yan and X. Li, 2018: “Temporal and spatial variation of particulate matter and its correlation with other criteria of air pollutants in Lanzhou, China, in spring-summer periods”, Atmos. Pollut. Res., 9, 1100-1110, https://doi.org/10.1016/j.apr.2018.04.011.
     
  56. Filonchyk, M., H. Yan, S. Yang and X. Lu, 2018: “Detection of Aerosol Pollution Sources during Sandstorms in Northwestern China Using Remote Sensed and Model Simulated Data”, Advances in Space Research, 61, 1035-1046, https://doi.org/10.1016/j.asr.2017.11.037.
     
  57. Flamant, C., A. Deroubaix, P. Chazette, J. Brito, M. Gaetani, P. Knippertz, A. H. Fink, G. de Coetlogon, L. Menut, A. Colomb, C. Denjean, R. Meynadier P. Rosenberg, R. Dupuy, A. Schwarzenboeck, and J. Totems, 2018: “Aerosol distribution in the northern Gulf of Guinea: local anthropogenic sources, long-range transport and the role of coastal shallow circulations”, Atmos. Chem. Phys., 18, 12363-12389, https://doi.org/10.5194/acp-18-12363-2018.
     
  58. Fontenot, A. T., H. M. El-Askary, M. J. Garay, J. R. Campbell and O. V. Kalashnikova, 2018: “Characterizing the Impact of Aerosols on Pre-Hurricane Sandy”, IEEE J. Sel. Top. Appl., 11, 1378-1386, https://doi.org/10.1109/JSTARS.2018.2813095.
     
  59. Frey, W. R., 2018: “The Influence of Southern Ocean Shortwave Cloud Feedbacks on the Coupled Climate System”, Ph.D. Thesis, Department of Atmospheric and Oceanic Sciences, University of Colorado at Boulder, 129 pp. [see https://scholar.colorado.edu/atoc_gradetds/76].
     
  60. Frey, W. R., A. L. Morrison, J. E. Kay, R. Guzman and H. Chepfer, 2018: “The combined influence of observed Southern Ocean clouds and sea ice on top-of-atmosphere albedo”, J. Geophys. Res. Atmos., 123, 4461-4475¸https://doi.org/10.1029/2018JD028505.
     
  61. Friberg, J., B. G. Martinsson, S. M. Andersson and O. S. Sandvik, 2018: “Volcanic impact on the climate - the stratospheric aerosol load in the period 2006-2015”, Atmos. Chem. Phys., 18, 11149-11169, https://doi.org/10.5194/acp-18-11149-2018.
     
  62. Fu, D., X. Xia, M. Duan, X. Zhang, X. Li, J. Wang and J. Liu, 2018: “Mapping nighttime PM2.5 from VIIRS DNB using a linear mixed-effect model”, Atmos. Environ., 178, 214-222, https://doi.org/10.1016/j.atmosenv.2018.02.001.
     
  63. Fu, Q., M. Smith and Q. Yang, 2018: “The Impact of Cloud Radiative Effects on the Tropical Tropopause Layer Temperatures”, Atmosphere, 9, 377, https://doi.org/10.3390/atmos9100377.
     
  64. Fuchs, J., 2018: “Locating and understanding aerosol-cloud interactions with satellite observations”, Ph.D. Thesis, Department of Geography, The Ruhr University Bochum, 188 pp. [see https://d-nb.info/1167505484/34].
     
  65. Fuchs, J., J. Cermak, and H. Andersen, 2018: “Building a cloud in the Southeast Atlantic: Understanding low-cloud controls based on satellite observations with machine learning”, Atmos. Chem. Phys., 18, 16537-16552, https://doi.org/10.5194/acp-18-16537-2018.
     
  66. Funatsu, B. M., J.-F. Rysman, C. Claud and J.-P. Chaboureau, 2018: “Deep convective clouds distribution over the Mediterranean region from AMSU-B/MHS observations”, Atmos. Res., 207, 122-135, https://doi.org/10.1016/j.atmosres.2018.03.003.
     
  67. Galytska, E., V. Danylevsky, R. Hommel, and J. P. Burrows, 2018: “Increased aerosol content in the atmosphere over Ukraine during summer 2010”, Atmos. Meas. Tech., 11, 2101-2118, https://doi.org/10.5194/amt-11-2101-2018.
     
  68. Garnier, A., T. Trémas, J. Pelon, K.-P. Lee, D. Nobileau, L. Gross-Colzy, N. Pascal, P. Ferrage and N. A. Scott, 2018: “CALIPSO IIR Version 2 Level 1b calibrated radiances: analysis and reduction of residual biases in the Northern Hemisphere”, Atmos. Meas. Tech., 11, 2485-2500, https://doi.org/10.5194/amt-11-2485-2018.
     
  69. Gasparini, B., A. Meyer, D. Neubauer, S. Münch and U. Lohmann, 2018: “Cirrus cloud properties as seen by the CALIPSO satellite and ECHAM-HAM global climate model”, J. Climate, 31, 1983-2003, https://doi.org/10.1175/JCLI-D-16-0608.1.
     
  70. Georgoulias, A. K., A. Tsikerdekis, V. Amiridis, E. Marinou, A. Benedetti, P. Zanis, G. Alexandri, L. Mona, K. A. Kourtidis and J. Lelieveld, 2018: “A 3-D evaluation of the MACC reanalysis dust product over Europe, Northern Africa and Middle East using CALIOP/CALIPSO dust satellite observations”, Atmos. Chem. Phys., 18, 8601-8620, https://doi.org/10.5194/acp-18-8601-2018.
     
  71. Getzewich, B. J., M. A. Vaughan, W. H. Hunt, M. A. Avery, K. A. Powell, J. L. Tackett, D. M. Winker, J. Kar, K.-P. Lee, and T. Toth, 2018: “CALIPSO Lidar Calibration at 532-nm: Version 4 Daytime Algorithm”, Atmos. Meas. Tech., 11, 6309-6326, https://doi.org/10.5194/amt-11-6309-2018.
     
  72. Gharibzadeh, M., K. Alam, Y. Abedini, A. A. Bidokhti, A. Masoumi and H. Bibi, 2018: “Characterization of aerosol optical properties using multiple clustering techniques over Zanjan, Iran, during 2010-2013”, Appl. Opt., 57, 2881-2889, https://doi.org/10.1364/AO.57.002881.
     
  73. Gilson, G. F., 2018: “Macrophysical Properties and a Climatology of Arctic Coastal Fog in East Greenland”, Ph.D. Thesis, Department of Geography, University of Lethbridge, 262 pp. [see https://www.uleth.ca/dspace/handle/10133/5038].
     
  74. Gilson, G. F., H. Jiskoot, J. J. Cassano and T. R. Nielsen, 2018: “Radiosonde‐derived temperature inversions and their association with fog over 37 melt seasons in East Greenland”, J. Geophys. Res. Atmos., 123, 9571-9588, https://doi.org/10.1029/2018JD028886.
     
  75. Gordon, H., P. R. Field, S. J. Abel, M. Dalvi, D. P. Grosvenor, A. A. Hill, B. T. Johnson, A. K. Miltenberger, M. Yoshioka and K. S. Carslaw, 2018: “Large simulated radiative effects of smoke in the south-east Atlantic”, Atmos. Chem. Phys., 18, 15261-15289, https://doi.org/10.5194/acp-18-15261-2018.
     
  76. Goren, T., D. Rosenfeld, O. Sourdeval and J. Quaas, 2018: “Satellite Observations of Precipitating Marine Stratocumulus Show Greater Cloud Fraction for Decoupled Clouds in Comparison to Coupled Clouds”, Geophys. Res. Lett., 45, 5126-5134, https://doi.org/10.1029/2018GL078122.
     
  77. Govardhan, G., 2018: “Simulations of Aerosol Species over the Indian Region: Evaluation and Improvements”, Ph.D. Thesis, Centre for Atmospheric and Oceanic Sciences, Indian Institute of Science [see http://etd.iisc.ac.in/handle/2005/4113].
     
  78. Greenwald, T. J., R. Bennartz, M. Lebsock and J. Teixeira, 2018: “An Uncertainty Dataset for Passive Microwave Satellite Observations of Warm Cloud Liquid Water Path”, J. Geophys. Res. Atmos., 123, 3668-3687, https://doi.org/10.1002/2017JD027638.
     
  79. Gristey, J. J., 2018: “Understanding the Earth’s Energy Flows from a Constellation of Satellites”, Ph.D. Thesis, Department of Meteorology, University of Reading, 147 pp. [see http://centaur.reading.ac.uk/83581/].
     
  80. Grooß, J.-U., R. Müller, R. Spang, I. Tritscher, T. Wegner, M. P. Chipperfield, W. Feng, D. E. Kinnison, and S. Madronich, 2018: “On the discrepancy of HCl processing in the core of the wintertime polar vortices”, Atmos. Chem. Phys., 18, 8647-8666, https://doi.org/10.5194/acp-18-8647-2018.
     
  81. Grosvenor, D. P., O. Sourdeval, P. Zuidema, A. Ackerman, M. D. Alexandrov, R. Bennartz, R. Boers, B. Cairns, J. C. Chiu, M. Christensen, H. Deneke, M. Diamond, G. Feingold, A. Fridlind, A. Hünerbein, C. Knist, P. Kollias, A. Marshak, D. McCoy, D. Merk, D. Painemal, J. Rausch, D. Rosenfeld, H. Russchenberg, P. Seifert, K. Sinclair, P. Stier, B. van Diedenhoven, M. Wendisch, F. Werner, R. Wood, Z. Zhang and J. Quaas, 2018: “Remote Sensing of Droplet Number Concentration in Warm Clouds: A Review of the Current State of Knowledge and Perspectives”, Rev. Geophys., 56, 409-453, https://doi.org/10.1029/2017RG000593.
     
  82. Gryspeerdt, E., O. Sourdeval, J. Quaas, J. Delanoë and P. Kühne, 2018: “Ice crystal number concentration estimates from lidar-radar satellite retrievals. Part 2: Controls on the ice crystal number concentration”, Atmos. Chem. Phys., 18, 14351-14370, https://doi.org/10.5194/acp-18-14351-2018.
     
  83. Gul, C., S. P. Puppala, S. Kang, B. Adhikary, Y. Zhang, S. Ali, Y. Li and X. Li, 2018: “Concentrations and source regions of light-absorbing particles in snow/ice in northern Pakistan and their impact on snow albedo”, Atmos. Chem. Phys., 18, 4981-5000, https://doi.org/10.5194/acp-18-4981-2018.
     
  84. Gullström, C., 2018: “Use of Satellite Data for Prediction of Weather Impact on EO-Systems”, M.S. Thesis, Department of Physics, Chemistry and Biology, Linköping University, 78 pp. [see http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-152284].
     
  85. Gumber, M., M. Mehta and M. Mittal, 2018: “Observation of Dust Loadings from Space-borne Measurements (2005-2016)”, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5, 523-525, https://doi.org/10.5194/isprs-archives-XLII-5-523-2018.
     
  86. Gupta, A. K., K. Rajeev, S. Sijikumar and A. K. M. Nair, 2018: “Enhanced daytime occurrence of clouds in the tropical upper troposphere over land and ocean”, Atmos. Res., 201, 133-143, https://doi.org/10.1016/j.atmosres.2017.10.018.
     
  87. Håkansson, N., C. Adok, A. Thoss, R. Scheirer and S. Hörnquist, 2018: “Neural network cloud top pressure and height for MODIS”, Atmos. Meas. Tech., 11, 3177-3196, https://doi.org/10.5194/amt-11-3177-2018.
     
  88. Hegarty, J. D., J. Lewis, E. L. McGrath-Spangler, J. Henderson, A. J. Scarino, P. DeCola, R. Ferrare, M. Hicks, R. Adams-Selin and E. Welton, 2018: “Analysis of the Planetary Boundary Layer Height during DISCOVER-AQ Baltimore - Washington, DC with Lidar and High-resolution WRF Modeling”, J. Appl. Meteor. Climatol., 57, 2679-2696, https://doi.org/10.1175/JAMC-D-18-0014.1.
     
  89. Hill, P., R. Allan, J. Chiu, A. Bodas-Salcedo, and P. Knippertz, 2018: “Quantifying the contribution of different cloud types to the radiation budget in southern West Africa”, J. Climate, 31, 5273-5291, https://doi.org/10.1175/JCLI-D-17-0586.1.
     
  90. Hoarau, T., C. Barthe, P. Tulet, M. Claeys, J.‐P. Pinty, O. Bousquet, J. Delanoë and B. Vié, 2018: “Impact of the Generation and Activation of Sea Salt Aerosols on the Evolution of Tropical Cyclone Dumile”, J. Geophys. Res. Atmos., 123, 8813-8831, https://doi.org/10.1029/2017JD028125.
     
  91. Höpfner, M., T. Deshler, M. Pitts, L. Poole, R. Spang, G. Stiller, and T. von Clarmann, 2018: “The MIPAS/Envisat climatology (2002-2012) of polar stratospheric cloud (PSC) volume density profiles”, Atmos. Meas. Tech., 11, 5901-5923, https://doi.org/10.5194/amt-11-5901-2018.
     
  92. Hostetler, C. A., M. J. Behrenfeld, Y. Hu, J. W. Hair and J. A. Schulien, 2018: “Spaceborne Lidar in the Study of Marine Systems”, Annu. Rev. Mar. Sci., 10, 121-147, https://doi.org/10.1146/annurev-marine-121916-063335.
     
  93. Huang, J., 2018: “Sea ice sources of sea salt aerosols in polar regions”, Ph.D. Thesis, Department of Atmospheric Sciences, University of Washington, 108 pp. [see http://hdl.handle.net/1773/43287].
     
  94. Huang, J., L. Jaeglé and V. Shah, 2018: “Using CALIOP to constrain blowing snow emissions of sea salt aerosols over Arctic and Antarctic sea ice”, Atmos. Chem. Phys., 18, 16253-16269, https://doi.org/10.5194/acp-18-16253-2018.
     
  95. Huang, Z., J.-B. Nee, C.-W. Chiang, S. Zhang, H. Jin, W. Wang and T. Zhou, 2018: “Real-Time Observations of Dust-Cloud Interactions Based on Polarization and Raman Lidar Measurements”, Remote Sens., 10, 1017, https://doi.org/10.3390/rs10071017.
     
  96. Huguenin, M., 2018: “Development and Validation of 3-D Cloud Fields Using Data Fusion and Machine Learning Techniques”, M.S. Thesis, Department of Aerospace Engineering, Georgia Institute of Technology, 103 pp. [see http://hdl.handle.net/1853/60824].
     
  97. Iguchi, T., T. Matsui, Z. Tao, D. Kim, C. Ichoku, L. Ellison and J. Wang, 2018: “NU-WRF aerosol transport simulation over West Africa: Effects of biomass burning on smoke aerosol distribution”, J. Appl. Meteor. Climatol., 57, 1551-1573, https://doi.org/10.1175/JAMC-D-17-0278.1.
     
  98. Irion, F. W., B. H. Kahn, M. M. Schreier, E. J. Fetzer, E. Fishbein, D. Fu, P. Kalmus, R. C. Wilson, S. Wong, and Q. Yue, 2018: “Single-footprint retrievals of temperature, water vapor and cloud properties from AIRS”, Atmos. Meas. Tech., 11, 971-995, https://doi.org/10.5194/amt-11-971-2018.
     
  99. Iwabuchi, H., N. S. Putri, M. Saito, Y. Tokoro, M. Sekiguchi, P. Yang and B. A. Baum, 2018: “Cloud property retrieval from multiband infrared measurements by Himawari-8”, J. Meteorol. Soc. Jpn., 96B, 27-42, https://doi.org/10.2151/jmsj.2018-001.
     
  100. Iyer, R., A. Chhabra, P. Chauhan, T. Turakhia, M. Porwal and D. Patel, 2018: “Spatial-Temporal Variability and Characterisation of Aerosols in Urban Air Quality of Ahmedabad, India, based on Field and Satellite Data”, Environmental Pollution and Protection, 3, 13-22, https://doi.org/10.22606/epp.2018.31002.
     
  101. Jensen, E. J., S. Woods, R. P. Lawson, T. V. Bui, L. Pfister, T. D. Thornberry, A. Rollins, J.-P. Vernier, L. L. Pan, S. Honomichl and O. B. Toon, 2018: “Ash particles detected in the tropical lower stratosphere”, Geophys. Res. Lett., 45, 11,483-11,489, https://doi.org/10.1029/2018GL079605.
     
  102. Jethva, H., D. Chand, O. Torres, P. Gupta, A. Lyapustin and F. Patadia, 2018: “Agricultural Burning and Air Quality over Northern India: A Synergistic Analysis using NASA’s A-train Satellite Data and Ground Measurements”, Aerosol Air. Qual. Res., 18, 1756-1773, https://doi.org/10.4209/aaqr.2017.12.0583.
     
  103. Jethva, H., O. Torres and C. Ahn, 2018: “A 12-Year Long Global Record of Optical Depth of Absorbing Aerosols above the Clouds Derived from OMI/OMACA Algorithm”, Atmos. Meas. Tech., 11, 5837-5864, https://doi.org/10.5194/amt-11-5837-2018.
     
  104. Jia, R., Y. Liu, S. Hua, Q. Zhu and T. Shao, 2018: “Estimation of the aerosol radiative effect over the Tibetan Plateau based on the latest CALIPSO product”, J. Meteor. Res., 32, 707-722, https://doi.org/10.1007/s13351-018-8060-3.
     
  105. Jiang, J. H., H. Su, L. Huang, Y. Wang, S. Massie, B. Zhao, A. Omar and Z. Wang, 2018: “Contrasting Effects on Deep Convective Clouds by Different Types of Aerosols”, Nat. Commun., 9, 3874, https://doi.org/10.1038/s41467-018-06280-4.
     
  106. Jin, Q., J. Wei, B. Pu, Z.-L. Yang, and S. P. Parajuli, 2018: “High summertime aerosol loadings over the Arabian Sea and their transport pathways”, J. Geophys. Res. Atmos., 123, 10,568-10,590, https://doi.org/10.1029/2018JD028588.
     
  107. Jolly, B., P. Kuma, A. McDonald and S. Parsons, 2018: “An analysis of the cloud environment over the Ross Sea and Ross Ice Shelf using CloudSat/CALIPSO satellite observations: the importance of synoptic forcing”, Atmos. Chem. Phys., 18, 9723-9739, https://doi.org/10.5194/acp-18-9723-2018.
     
  108. Josset, D., J. Pelon, N. Pascal, Y. Hu and W. Hou, 2018: “On the Use of CALIPSO Land Surface Returns to Retrieve Aerosol and Cloud Optical Depths”, IEEE Trans. Geosci. Remote Sens., 56, 3256-3264, https://doi.org/10.1109/TGRS.2018.2796850.
     
  109. Jury, M., 2018: “Characteristics of Ethiopia air chemistry and its meteorological context”, Earth Interact., 22, 1-22, https://doi.org/10.1175/EI-D-17-0009.1.
     
  110. Jury, M. R., 2018: “Climatic modulation of early summer dust emissions over West Africa”, Journal of Arid Environments, 152, 55-68, https://doi.org/10.1016/j.jaridenv.2018.01.019.
     
  111. Kabatas, B., R. B. Pierce, A. Unal, M. J. Rogal and A. Lenzen, 2018: “April 2008 Saharan dust event: Its contribution to PM10 concentrations over the Anatolian Peninsula and relation with synoptic conditions”, Sci. Total Environ., 633, 317-328, https://doi.org/10.1016/j.scitotenv.2018.03.150.
     
  112. Kablick, G. P., M. D. Fromm, S. D. Miller, P. Partain, D. Peterson, S. S. Lee, Y. Zhang, A. Lambert and Z. Li, 2018: “The Great Slave Lake pyroCb of 5 August 2014: observations, simulations, comparisons with regular convection, and impact on UTLS water vapor”, J. Geophys. Res. Atmos., 123, 12,332-12,352, https://doi.org/10.1029/2018JD028965.
     
  113. Kahn, B. H., H. Takahashi, G. L. Stephens, Q. Yue, J. Delanoë, G. Manipon, E. M. Manning and A. J. Heymsfield, 2018: “Ice cloud microphysical trends observed by the Atmospheric Infrared Sounder”, Atmos. Chem. Phys., 18, 10715-10739, https://doi.org/10.5194/acp-18-10715-2018.
     
  114. Kar, J., M. A. Vaughan, K. P. Lee, J. Tackett, M. Avery, A. Garnier, B. Getzewich, W. Hunt, D. Josset, Z. Liu, P. Lucker, B. Magill, A. Omar, J. Pelon, R. Rogers, T. D. Toth, C. Trepte, J-P. Vernier, D. Winker and S. Young, 2018: “CALIPSO Lidar Calibration at 532 nm: Version 4 Nighttime Algorithm”, Atmos. Meas. Tech., 11, 1459-1479, https://doi.org/10.5194/amt-11-1459-2018.
     
  115. Kar, J., M. Vaughan, J. Tackett, Z. Liu, A. Omar, S. Rodier, C. Trepte and P. Lucker, 2018: “Swelling of Transported Smoke from Savanna fires over the Southeast Atlantic Ocean”, Remote Sens. Environ., 211, 105-111, https://doi.org/10.1016/j.rse.2018.03.043.
     
  116. Karlsson, K.-G. and A. Devasthale, 2018: “Inter-Comparison and Evaluation of the Four Longest Satellite-Derived Cloud Climate Data Records: CLARA-A2, ESA Cloud CCI V3, ISCCP-HGM, and PATMOS-x”, Remote Sens., 10, 1567, https://doi.org/10.3390/rs10101567.
     
  117. Karlsson, K.-G. and N. Håkansson, 2018: “Characterization of AVHRR global cloud detection sensitivity based on CALIPSO-CALIOP cloud optical thickness information: demonstration of results based on the CM SAF CLARA-A2 climate data record”, Atmos. Meas. Tech., 11, 633-649, https://doi.org/10.5194/amt-11-633-2018.
     
  118. Kato, S., F. G. Rose, D. A. Rutan, T. J. Thorsen, N. G. Loeb, D. R. Doelling, X. Huang, W. L. Smith, W. Su and S. H. Ham, 2018: “Surface Irradiances of Edition 4.0 Clouds and the Earth’s Radiant Energy System (CERES) Energy Balanced and Filled (EBAF) Data Product”, J. Climate, 31, 4501-4527, https://doi.org/10.1175/JCLI-D-17-0523.1.
     
  119. Katz, S., Y. Yair, C. Price, R. Yaniv, I. Silber, B. Lynn and B. Ziv, 2018: “Electrical properties of the 8-12th September, 2015 massive dust outbreak over the Levant”, Atmos. Res., 201, 218-225, https://doi.org/10.1016/j.atmosres.2017.11.004.
     
  120. Ke, Z., 2018: “Wildfires in Earth System: Driver, Transport and Feedback”, Ph.D. Thesis, School of Earth and Atmospheric Sciences, Georgia Institute of Technology, 163 pp. [see http://hdl.handle.net/1853/61661].
     
  121. Kedia, S., R. Kumar, S. Islam, Y. Sathe and A. Kaginalkar, 2018: “Radiative impact of a heavy dust storm over India and surrounding oceanic regions”, Atmos. Environ., 185, 109-120, https://doi.org/10.1016/j.atmosenv.2018.05.005.
     
  122. Kremmling, B., 2018: “Investigation of photon path length distributions derived from oxygen A-band measurements of the GOSAT satellite instrument”, Ph.D. Thesis, Satellite Remote Sensing Group, Max Planck Institute for Chemistry, Mainz, 145 pp. [see http://dspace-dev.ub.uni-mainz.de/handle/20.500.12030/2850].
     
  123. Khanal, S. and Z. Wang, 2018: “Uncertainties in MODIS based cloud liquid water path retrievals at high latitudes due to mixed phase clouds and cloud top height inhomogeneity”, J. Geophys. Res. Atmos., 123, 11,154-11,172, https://doi.org/10.1029/2018JD028558.
     
  124. Khatri, P., H. Iwabuchi and M. Saito, 2018: “Vertical Profiles of Ice Cloud Microphysical Properties and Their Impacts on Cloud Retrieval Using Thermal Infrared Measurements”, J. Geophys. Res. Atmos., 123, 5301-5319, https://doi.org/10.1029/2017JD028165.
     
  125. Khaykin, S. M., S. Godin-Beekmann, A. Hauchecorne, J. Pelon, F. Ravetta and P. Keckhut, 2018: “Stratospheric smoke with unprecedentedly high backscatter observed by lidars above southern France”, Geophys. Res. Lett., 45, 1639-1646, https://doi.org/10.1002/2017GL076763.
     
  126. Khosrawi, F., O. Kirner, G. Stiller, M. Höpfner, M. L. Santee, S. Kellmann and P. Braesicke, 2018: “Comparison of ECHAM5/MESSy Atmospheric Chemistry (EMAC) simulations of the Arctic winter 2009/2010 and 2010/2011 with Envisat/MIPAS and Aura/MLS observations”, Atmos. Chem. Phys., 18, 8873-8892, https://doi.org/10.5194/acp-18-8873-2018.
     
  127. Kim, J., D. E. Waliser, G. V. Cesana, X. Jiang, T. L’Ecuyer and J. M. Neena, 2018: “Cloud and radiative heating profiles associated with the boreal summer intraseasonal oscillation”, Clim. Dynam., 50, 1485-1494, https://doi.org/10.1007/s00382-017-3700-3.
     
  128. Kim, M., J. Kim, O. Torres, C. Ahn, W. Kim, U. Jeong, S. Go, X. Liu, K. J. Moon and D.-R. Kim, 2018: “Optimal Estimation-Based Algorithm to Retrieve Aerosol Optical Properties for GEMS Measurements over Asia”, Remote Sens., 10, 162, https://doi.org/10.3390/rs10020162.
     
  129. Kim, M.-H., A. H. Omar, J. L. Tackett, M. A. Vaughan, D. M. Winker, C. R. Trepte, Y. Hu, Z. Liu, L. R. Poole, M. C. Pitts, J. Kar and B. E. Magill, 2018: “The CALIPSO Version 4 Automated Aerosol Classification and Lidar Ratio Selection Algorithm”, Atmos. Meas. Tech., 11, 6107-6135, https://doi.org/10.5194/amt-11-6107-2018.
     
  130. Konsta, D., I. Binietoglou, A. Gkikas, S. Solomos, E. Marinou, E. Proestakis, S. Basart, C. P. García-Pando, H. El-Askary and V. Amiridis, 2018: “Evaluation of the BSC-DREAM8b regional dust model using the 3D LIVAS-CALIPSO product”, Atmos. Environ., 195, 46-62, https://doi.org/10.1016/j.atmosenv.2018.09.047.
     
  131. Kotarba, A. Z., 2018: “Vertical profile of cloud amount over Poland: Variability and uncertainty based on CloudSat-CALIPSO observations”, Int. J. Climatol., 38, 4142-4154, https://doi.org/10.1002/joc.5558.
     
  132. Koshiro, T., M. Shiotani, H. Kawai and S. Yukimoto, 2018: “Evaluation of Relationships between Subtropical Marine Low Stratiform Cloudiness and Estimated Inversion Strength in CMIP5 Models Using the Satellite Simulator Package COSP”, SOLA, 14, 25-32, https://doi.org/10.2151/sola.2018-005.
     
  133. Kramer, R. J., 2018: “Radiative Transfer Diversity and its Influence on the Response of the Hydrological Cycle in Climate Models”, Ph.D. Thesis, Department of Meteorology and Physical Oceanography, University of Miami, 117 pp. [see https://scholarlyrepository.miami.edu/oa_dissertations/2206/].
     
  134. Kumar, A., N. Singh, Anshumali and R. Solanki, 2018: “Evaluation and utilization of MODIS and CALIPSO aerosol retrievals over a complex terrain in Himalaya”, Remote Sens. Environ., 206, 139-155, https://doi.org/10.1016/j.rse.2017.12.019.
     
  135. Kumar, A., W. Abouchami, S. J. G. Galer, S. P. Singh, K. W. Fomba, J. M. Prospero and M. O. Andreae, 2018: “Seasonal radiogenic isotopic variability of the African dust outflow to the tropical Atlantic Ocean and across to the Caribbean”, Earth Planet. Sc. Lett., 487, 94-105, https://doi.org/10.1016/j.epsl.2018.01.025.
     
  136. Kumar, D. B., S. Verma, O. Boucher and R. Wang, 2018: “Constrained simulation of aerosol species and sources during pre-monsoon season over the Indian subcontinent”, Atmos. Res., 214, 91-108, https://doi.org/10.1016/j.atmosres.2018.07.001.
     
  137. Kylling, A., S. Vandenbussche, V. Capelle, J. Cuesta, L. Klüser, L. Lelli, T. Popp, K. Stebel and P. Veefkind, 2018: “Comparison of dust layer heights from active and passive satellite sensors”, Atmos. Meas. Tech., 11, 2911-2936, https://doi.org/10.5194/amt-11-2911-2018.
     
  138. Lacour, A., H. Chepfer, N. B. Miller, M. D. Shupe, V. Noel, X. Fettweis, H. Gallee, J. E. Kay, R. Guzman and J. Cole, 2018: “How well are clouds simulated over Greenland in climate models? Consequences for the surface cloud radiative effect over the ice sheet”, J. Climate., 31, 9293-9312, https://doi.org/10.1175/JCLI-D-18-0023.1.
     
  139. Lambert, A. and M. L. Santee, 2018: “Accuracy and precision of lower stratospheric polar reanalysis temperatures evaluated from A-train CALIOP and MLS, COSMIC GPS RO, and the equilibrium thermodynamics of supercooled ternary solutions and ice clouds”, Atmos. Chem. Phys., 18, 1945-1975, https://doi.org/10.5194/acp-18-1945-2018.
     
  140. Lange, C. A., 2018: “Observability of Sudden Aerosol Injections by Ensemble-Based Four-Dimensional Assimilation of Remote Sensing Data”, Ph.D. Thesis, Faculty of Mathematics and Natural Sciences, Universität zu Köln, 138 pp. [see http://kups.ub.uni-koeln.de/id/eprint/9148].
     
  141. Larroza, E. G., P. Keckhut, J.-L. Baray, W. M. Nakaema, H. Vérèmes, E. Landulfo, D. Dionisi, S. Khaykin and F. Ravetta, 2018: “Long-Range Transport of Water Channelized through the Southern Subtropical Jet”, Atmosphere, 9, 374, https://doi.org/10.3390/atmos9100374.
     
  142. Lau, W. K. M., C. Yuan and Z. Li, 2018: “Origin, Maintenance and Variability of the Asian Tropopause Aerosol Layer (ATAL): The Roles of Monsoon Dynamics”, Scientific Reports, 8, 3960, https://doi.org/10.1038/s41598-018-22267-z.
     
  143. Lee H., S.-J. Jeong, O. V. Kalashnikova, M. G. Tosca, S.-W. Kim and J.-S. Kug, 2018: “Characterization of wildfire-induced aerosol emissions from the Maritime Continent peatland and Central African dry savannah with MISR and CALIPSO aerosol products”, J. Geophys. Res. Atmos., 123, 3116-3125, https://doi.org/10.1002/2017JD027415.
     
  144. Li, J. and H. W. Barker, 2018: “Computation of Domain-Average Radiative Flux Profiles Using Gaussian Quadrature”, Q. J. Roy. Meteorol. Soc., 144, 720-734, https://doi.org/10.1002/qj.3241.
     
  145. Li, J., B. Jian, J. Huang, Y. Hu, C. Zhao, K. Kawamoto, S. Liao and M. Wu: 2018: “Long-term variation of cloud droplet number concentrations from space-based lidar”, Remote Sens. Environ., 213, 144-161, https://doi.org/10.1016/j.rse.2018.05.011.
     
  146. Li, J., Q. Lv, B. Jian, M. Zhang, C. Zhao, Q. Fu, K. Kawamoto and H. Zhang, 2018: “The impact of atmospheric stability and wind shear on vertical cloud overlap over the Tibetan Plateau”, Atmos. Chem. Phys., 18, 7329-7343, https://doi.org/10.5194/acp-18-7329-2018.
     
  147. Li, J. F., S. Lee, H.-Y. Ma, G. Stephens, and B. Guan, 2018: “Assessment of the cloud liquid water from climate models and reanalysis using satellite observations”, Terr. Atmos. Ocean. Sci., 29, 653-678, https://doi.org/10.3319/TAO.2018.07.04.01.
     
  148. Li, L., 2018: “Examining the spatiotemporal variability and direct impacts of mineral dust in Central Asia using a coupled regional modeling system and satellite-based sensors’, Ph.D. Thesis, School of Earth and Atmospheric Sciences, Georgia Institute of Technology, 164 pp. [see http://hdl.handle.net/1853/60773].
     
  149. Li, L. and I. N. Sokolik, 2018: “Analysis of Dust Aerosol Retrievals Using Satellite Data in Central Asia”, Atmosphere, 9, 288, https://doi.org/10.3390/atmos9080288.
     
  150. Li, S., Y. Li, G. Sun and Z. Lu, 2018: “Macro- and Microphysical Characteristics of Precipitating and Non-Precipitating Stratocumulus Clouds over Eastern China”, Atmosphere, 9, 237, https://doi.org/10.3390/atmos9070237.
     
  151. Li, W., H. El-Askary, M. A. Qurban, E. Proestakis, M. Garay, O. Kalashnikova, V. Amidiris, A. Gkikas, E. Marinou, T. Piechota, K.P. Manikandan, 2018: “An Assessment of Atmospheric and Meteorological Factors Regulating Red Sea Phytoplankton Growth”, Remote Sens., 10, 673; https://doi.org/10.3390/rs10050673.
     
  152. Li, X., X. Zheng, D. Zhang, W. Zhang, F. Wang, Y. Deng and W. Zhu, 2018: “Clouds over East Asia Observed with Collocated CloudSat and CALIPSO Measurements: Occurrence and Macrophysical Properties”, Atmosphere, 9, 168; https://doi.org/10.3390/atmos9050168.
     
  153. Li, Y., Y. Xue, J. Guang, L. She, C. Fan and G. Chen, 2018: “Ground-Level PM2.5 Concentration Estimation from Satellite Data in the Beijing Area Using a Specific Particle Swarm Extinction Mass Conversion Algorithm”, Remote Sens., 10, 1906, https://doi.org/10.3390/rs10121906.
     
  154. Liang, J.: 2018: “The Impact of Saharan Dust on Atlantic Convective Systems: A Case Study”, Ph.D. Thesis, Graduate Program in Earth and Space Science, York University, 241 pp. [see http://hdl.handle.net/10315/35843].
     
  155. Lin, T., Y. Zheng, T. Li and L. Wang, 2018: “The Characteristics of Ice Cloud Properties Derived from Satellite Data in Northwest China”, Plateau Meteorology, 37, 1051-1060, https://doi.org/10.7522/j.issn.1000-0534.2017.00088 (in Chinese).
     
  156. Liu, B., Y. Ma, W. Gong, M. Zhan and J. Yang, 2018: “Study of continuous air pollution in winter over Wuhan based on ground-based and satellite observations”, Atmos. Pollut. Res., 9, 156-165, https://doi.org/10.1016/j.apr.2017.08.004.
     
  157. Liu, B., Y. Ma, W. Gong, M. Zhang, W. Wang and Y. Shi, 2018: “Comparison of AOD from CALIPSO, MODIS, and Sun Photometer under Different Conditions over Central China”, Scientific Reports, 8, 10066, https://doi.org/10.1038/s41598-018-28417-7.
     
  158. Liu, B., Y. Ma, J. Liu, W. Gong, W. Wang, and M. Zhang, 2018: “Graphics Algorithm for Deriving Atmospheric Boundary Layer Heights from CALIPSO Data”, Atmos. Meas. Tech., 11, 5075-5085, https://doi.org/10.5194/amt-11-5075-2018.
     
  159. Liu, C., X. Shen and W. Gao, 2018: “Intercomparison of CALIOP, MODIS, and AERONET aerosol optical depth over China during the past decade”, Int. J. Remote Sens., 39, 7251-7275, https://doi.org/10.1080/01431161.2018.1466070.
     
  160. Liu, D., Q. Liu, G. Liu, J. Wei, S. Deng, and Y. Fu, 2018: “Multiple factors explaining the deficiency of Cloud Profiling Radar on detecting oceanic warm clouds”, J. Geophys. Res. Atmos., 123, 8135-8158, https://doi.org/10.1029/2017JD028053.
     
  161. Liu, H., X. Liu and B. Dong, 2018: “Influence of Central Siberian snow‐albedo feedback on the spring East Asian dust cycle and connection with the preceding winter Arctic Oscillation”, J. Geophys. Res. Atmos., 123, 13,368-13,385, https://doi.org/10.1029/2018JD029385.
     
  162. Liu, Q., X. Ma, Y. Yu, Y. Qin, Y. Chen, Y. Kang, H. Zhang, T. Cheng, Y. Ling and Y. Tang, 2018: “Comparison of aerosol characteristics during haze periods over two urban agglomerations in China using CALIPSO observations”, Particuology, 33, 63-72, https://doi.org/10.1016/j.partic.2017.02.001.
     
  163. Lohmann, U., and D. Neubauer, 2018: “The importance of mixed-phase clouds for climate sensitivity in the global aerosol-climate model ECHAM6-HAM2”, Atmos. Chem. Phys., 18, 8807-8828, https://doi.org/10.5194/acp-18-8807-2018.
     
  164. Long, J., Y. Wang and S. Zhang, 2018: “Intercomparison of cloud amount datasets in the Kuroshio region over the East China Sea”, J. Meteorol. Soc. Jpn., 96, 127-145, https://doi.org/10.2151/jmsj.2018-018.
     
  165. Liu, Y., Y. Yan, J. Lu and X. Liu, 2018: “Review of current investigations of cloud, radiation and rainfall over the Tibetan Plateau with the CloudSat/CALIPSO dataset”, Chinese Journal of Atmospheric Sciences (in Chinese), 42, 847−858, https://doi.org/10.3878/j.issn.1006-9895.1805.17281.
     
  166. Loughman, R., P. K. Bhartia, Z. Chen, P. Xu, E. Nyaku, and G. Taha, 2018: “The Ozone Mapping and Profiler Suite (OMPS) Limb Profiler (LP) Version 1 Aerosol Extinction Retrieval Algorithm: Theoretical Basis”, Atmos. Meas. Tech., 11, 2633-2651, https://doi.org/10.5194/amt-11-2633-2018.
     
  167. Lu, X., Y. Hu, Y. Yang, M. Vaughan, Z. Liu, S. Rodier, W. Hunt, K. Powell, P. Lucker and C. Trepte, 2018: “Laser pulse bidirectional reflectance from CALIPSO mission”, Atmos. Meas. Tech., 11, 3281-3296, https://doi.org/10.5194/amt-11-3281-2018.
     
  168. Lu, X., F. Mao, Z. Pan, W. Gong, W. Wang, L. Tian and S. Fang, 2018: “Three-Dimensional Physical and Optical Characteristics of Aerosols over Central China from Long-Term CALIPSO and HYSPLIT Data”, Remote Sensing, 10, 314, https://doi.org/10.3390/rs10020314.
     
  169. Lu, Z., X. Liu, Z. Zhang, C. Zhao, K. Meyer, C. Rajapakshe, C. Wu, Z. Yang and J. E. Penner, 2018: “Biomass smoke from southern Africa can significantly enhance the brightness of stratocumulus over the southeastern Atlantic Ocean”, PNAS, 115, 2924-2929, https://doi.org/10.1073/pnas.1713703115.
     
  170. Luo, B., 2018: “Improving Satellite Retrieved Infrared Sea Surface Temperatures in Aerosol Contaminated Regions”, M.S. Thesis, Department of Meteorology and Physical Oceanography, University of Miami, 75 pp. [see https://scholarlyrepository.miami.edu/oa_theses/711].
     
  171. Luo, T., Z. Wang, X. B. Li, S. Deng, Y. Huang and Y. Wang, 2018: “Retrieving the Polar Mixed-phase Cloud Liquid Water Path by Combining CALIOP and IIR Measurements”, J. Geophys. Res. Atmos., 123, 1755-1770, https://doi.org/10.1002/2017JD027291.
     
  172. Ma, P.-L., P. J. Rasch, H. Chepfer, D. M. Winker and S. J. Ghan, 2018: “Observational constraint on cloud susceptibility weakened by aerosol retrieval limitations”, Nat. Commun., 9, 2640, https://doi.org/10.1038/s41467-018-05028-4.
     
  173. Mace, G. G. and A. Protat, 2018: “Clouds over the Southern Ocean as Observed from The RV Investigator during CAPRICORN. Part 1: Cloud Occurrence and Phase Partitioning”, J. Appl. Meteor. Climatol., 57, 1783-1803, https://doi.org/10.1175/JAMC-D-17-0194.1.
     
  174. Mallet, P.-É., O. Pujol, J. Brioude, S. Évan and A. D. Jensen, 2018: “Marine aerosol distribution and variability over the pristine Southern Indian Ocean”, Atmos. Environ., 182, 17-30, https://doi.org/10.1016/j.atmosenv.2018.03.016.
     
  175. Mao, F., Z. Pan, D. S. Henderson, W. Wang and W. Gong, 2018: “Vertically resolved physical and radiative response of ice clouds to aerosols during the Indian summer monsoon season”, Remote Sens. Environ., 216, 171-182, https://doi.org/10.1016/j.rse.2018.06.027.
     
  176. Marzano, F. S., S. Corradini, L. Mereu, A. Kylling, M. Montopoli, D. Cimini, L. Merucci and D. Stelitano, 2018: “Multisatellite Multisensor Observations of a Sub-Plinian Volcanic Eruption: The 2015 Calbuco Explosive Event in Chile”, IEEE Trans. Geosci. Remote Sens., 56, 2597-2612, https://doi.org/10.1109/TGRS.2017.2769003.
     
  177. Masunaga, H. and S. Bony, 2018: “Radiative Invigoration of Tropical Convection by Preceding Cirrus Clouds”, J. Atmos. Sci., 75, 1327-1342, https://doi.org/10.1175/JAS-D-17-0355.1.
     
  178. Mehta, M., N. Singh, Anshumali, 2018: “Global trends of columnar and vertically distributed properties of aerosols with emphasis on dust, polluted dust and smoke - inferences from 10-year long CALIOP observations”, Remote Sens. Environ., 208, 120-132, https://doi.org/10.1016/j.rse.2018.02.017.
     
  179. Mehta, M., N. Singh, Anshumali, M. Mittal, and M. Gumber, 2018: “On Vertical Distribution of Major Aerosol Types Over Different Parts of Asia”, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5, 553-555, https://doi.org/10.5194/isprs-archives-XLII-5-553-2018.
     
  180. Melo, A. K. d. S., 2018: “Analysis of the optical properties of the aerosols in the atmosphere on Natal/RN using data from the CALIPSO and DUSTER systems”, M.S. Thesis, Department of Atmospheric and Climate Sciences, Federal University of Rio Grande do Norte, Natal, 92 pp. [see https://repositorio.ufrn.br/jspui/handle/123456789/25547].
     
  181. Menut, L., C. Flamant, S. Turquety, A. Deroubaix, P. Chazette, and R. Meynadier, 2018: “Impact of biomass burning on pollutant surface concentrations in megacities of the Gulf of Guinea”, Atmos. Chem. Phys., 18, 2687-2707, https://doi.org/10.5194/acp-18-2687-2018.
     
  182. Mhawish, A., M. Kumar, A. K. Mishra, P. K. Srivastava and T. Banerjee, 2018: “Remote Sensing of Aerosols From Space - Retrieval of Properties and Applications”, in Remote Sensing of Aerosols, Clouds, and Precipitation, T. Islam, Y. Hu, A. A. Kokhanovsky and J. Wang, Eds., ISBN:978-0-12-810437-8, pp. 45-83, https://doi.org/10.1016/B978-0-12-810437-8.00005-0.
     
  183. Mioche, G. and O. Jourdan, 2018: “Spaceborne Remote Sensing and Airborne In Situ Observations of Arctic Mixed-Phase Clouds”, in Mixed-Phase Clouds: Observations and Modeling, C. Andronache, Ed., Elsevier, ISBN: 978-0-12-810549-8, pp. 121-150, https://doi.org/10.1016/B978-0-12-810549-8.00006-4.
     
  184. Mitchell, D. L., A. Garnier, J. Pelon and E. Erfani, 2018: “CALIPSO (IIR-CALIOP) Retrievals of Cirrus Cloud Ice Particle Concentrations”, Atmos. Chem. Phys., 18, 17325-17354, https://doi.org/10.5194/acp-18-17325-2018.
     
  185. Moran-Zuloaga, D., F. Ditas, D. Walter, J. Saturno, J. Brito, S. Carbone, X. Chi, I. Hrabe de Angelis, H. Baars, R. H. M. Godoi, B. Heese, B. A. Holanda, J. V. Lavric, S. T. Martin, J. Ming, M. L. Pöhlker, N. Ruckteschler, H. Su, Y. Wang, Q. Wang, Z. Wang, B. Weber, S. Wolff, P. Artaxo, U. Pöschl, M. O. Andreae, and C. Pöhlker, 2018: “Long-term study on coarse mode aerosols in the Amazon rain forest with the frequent intrusion of Saharan dust plumes”, Atmos. Chem. Phys., 18, 10055-10088, https://doi.org/10.5194/acp-18-10055-2018.
     
  186. Morrison, A. L., J. E. Kay, H. Chepfer, R. Guzman and V. Yettella, 2018: “Isolating the liquid cloud response to recent Arctic sea ice variability using spaceborne lidar observations”, J. Geophys. Res. Atmos., 123, 473-490, https://doi.org/10.1002/2017JD027248.
     
  187. Motty, G. S., M. Satyanarayana, G. S. Jayeshlal, V. Krishnakumar and V. P. M. Pillai, 2018: “Lidar observed structural characteristics of higher altitude cirrus clouds over a tropical site in Indian subcontinent region”, J. Atmos. Sol.-Terr. Phy., 179, 367-377, https://doi.org/10.1016/j.jastp.2018.08.013.
     
  188. Mülmenstädt, J., O. Sourdeval, D. S. Henderson, T. S. L’Ecuyer, C. Unglaub, L. Jungandreas, C. Böhm, L. M. Russell and J. Quaas, 2018: “Using CALIOP to estimate cloud-field base height and its uncertainty: the Cloud Base Altitude Spatial Extrapolator (CBASE) algorithm and dataset”, Earth Syst. Sci. Data, 10, 2279-2293, https://doi.org/10.5194/essd-10-2279-2018.
     
  189. Myers, T. A., C. R. Mechoso, G. V. Cesana, M. J. DeFlorio, and D. E. Waliser, 2018: “Cloud feedback key to marine heatwave off Baja California”, Geophys. Res. Lett., 45, 4345-4352, https://doi.org/10.1029/2018GL078242.
     
  190. Nabavi, S. O., 2018: “Characterization of Dust Storms in West Asia”, Ph.D. Thesis, Department of Meteorology and Geophysics, University of Vienna, 128 pp. [see https://othes.univie.ac.at/51384/].
     
  191. Nam, J., S.-W. Kim, R. J. Park, J.-S. Park and S. S. Park, 2018: “Changes in column aerosol optical depth and ground-level particulate matter concentration over East Asia”, Air. Qual. Atmos. Health, 11, 49-60, https://doi.org/10.1007/s11869-017-0517-5.
     
  192. Nan, Y. and Y. Wang, 2018: “De-coupling interannual variations of vertical dust extinction over the Taklimakan Desert during 2007-2016 using CALIOP”, Sci. Total Environ., 633, 608-617, https://doi.org/10.1016/j.scitotenv.2018.03.125.
     
  193. Nanda, S., M. de Graaf, M. Sneep, J. F. de Haan, P. Stammes, A. F. J. Sanders, O. Tuinder, J. P. Veefkind and P. F. Levelt, 2018: “Error sources in the retrieval of aerosol information over bright surfaces from satellite measurements in the oxygen A-band”, Atmos. Meas. Tech., 11, 161-175, https://doi.org/10.5194/amt-11-161-2018.
     
  194. Nanda, S., J. P. Veefkind, M. de Graaf, Sneep, P. Stammes, J. F. de Haan, A. F. J. Sanders, A. Apituley, O. Tuinder and P. F. Levelt, 2018: “A weighted least squares approach to retrieve aerosol layer height over bright surfaces applied to GOME-2 measurements of the oxygen A band for forest fire cases over Europe”, Atmos. Meas. Tech., 11, 3263-3280, https://doi.org/10.5194/amt-11-3263-2018.
     
  195. Neukerman, G., T. Harmel, M. Galí, N. Rudorff, J. Chowdhary, O. Dubovik, C. Hostetler, Y. Hu, C. Jamet, K. Knobelspiesse, Y. Lehahn, P. Litvinov, A. M. Sayer, B. Ward, E. Boss, I. Koren and L. A. Miller, 2018: “Harnessing remote sensing to address critical science questions on ocean-atmosphere interactions”, Elem. Sci. Anth., 6, 71, https://doi.org/10.1525/elementa.331.
     
  196. Ning, G., S. Wang, M. Ma, C. Ni, Z. Shang, J. Wang and J. Li, 2018: “Characteristics of air pollution in different zones of Sichuan Basin, China”, Sci. Total Environ., 612, 975-984, https://doi.org/10.1016/j.scitotenv.2017.08.205.
     
  197. Niu, H., S. Kang, H. Wang, R. Zhang, X. Lu, Y. Qian, S. Wang, R. Paudyal, X. Shi, and X. Yan, 2018: “Seasonal variation and light absorption property of carbonaceous aerosol in a typical glacier region of the southeastern Tibetan Plateau”, Atmos. Chem. Phys., 18, 6441-6460, https://doi.org/10.5194/acp-18-6441-2018.
     
  198. Nobakht, M., 2018: “Characterisation of dust sources in Central Asia using remote sensing”, Ph.D. Thesis, School of Archaeology, Geography and Environmental Science, University of Reading, 149 pp. [see http://centaur.reading.ac.uk/78205/].
     
  199. Noel, V., H. Chepfer, M. Chiriaco and J. Yorks, 2018: “The diurnal cycle of cloud profiles over land and ocean between 51° S and 51° N, seen by the CATS spaceborne lidar from the International Space Station”, Atmos. Chem. Phys., 18, 9457-9473, https://doi.org/10.5194/acp-18-9457-2018.
     
  200. Noh, Y.-J., and S. D. Miller, 2018: “Detection of Mixed-Phase Clouds From Shortwave and Thermal Infrared Satellite Observations”, in Mixed-Phase Clouds: Observations and Modeling, C. Andronache, Ed., Elsevier, ISBN: 978-0-12-810549-8, pp. 43-67, https://doi.org/10.1016/B978-0-12-810549-8.00003-9.
     
  201. O, K.-T., R. Wood and H.-H. Tseng, 2018: “Deeper, precipitating PBLs associated with optically thin veil clouds in the Sc-Cu transition”, Geophys. Res. Lett., 45, 5177-5184, https://doi.org/10.1029/2018GL077084.
     
  202. Oikawa, E., T. Nakajima and D. Winker, 2018: “An evaluation of the shortwave direct aerosol radiative forcing using CALIOP and MODIS observations”, J. Geophys. Res. Atmos., 123, 1211-1233, https://doi.org/10.1002/2017JD027247.
     
  203. Okamoto H. and K. Sato, 2018: “Cloud Remote Sensing by Active Sensors: New Perspectives from CloudSat, CALIPSO and EarthCARE”, in Remote Sensing of Clouds and Precipitation, C. Andronache, Ed., Springer Remote Sensing/Photogrammetry, Springer, Cham, ISBN: 978-3-319-72582-6, pp. 195-214, https://doi.org/10.1007/978-3-319-72583-3_8.
     
  204. Onyeuwaoma, N. D., T. C. Chineke, O. K. Nwofor, I. Crandell, O. O. Awe, A. Olasumbo, A. I. Opara, N. Pius, M. Tochukwu and N. Joy, 2018: “Characterization of aerosol loading in urban and suburban locations: Impact on atmospheric extinction”, Cogent Environmental Science, 4, 1480333, https://doi.org/10.1080/23311843.2018.1480333.
     
  205. Oozeer, M. Y., 2018: “On the occurrence and transport of biomass burning haze in south-southeast Asia using observation data and computational methods”, Ph.D. Thesis, Department of Civil Engineering, University of Nottingham Malaysia Campus [see http://eprints.nottingham.ac.uk/49090/].
     
  206. Palm, S. P., V. Kayetha and Y. Yang, 2018: “Toward a satellite-derived climatology of blowing snow over Antarctica”, J. Geophys. Res. Atmos., 123, 10,301-10,313, https://doi.org/10.1029/2018JD028632.
     
  207. Palm, S. P., Y. Yang, V. Kayetha and J. P. Nicolas, 2018: “Insight into the Thermodynamic Structure of Blowing Snow Layers in Antarctica from Dropsonde and CALIPSO Measurements”, J. Appl. Meteor. Climatol., 57, 2733-2748, https://doi.org/10.1175/JAMC-D-18-0082.1.
     
  208. Pan, Z., F. Mao, W. Wang, T. Logan and J. Hong, 2018: “Examining intrinsic aerosol-cloud interactions in South Asia through multiple satellite observations”, J. Geophys. Res. Atmos., 123, 11,210-11,224, https://doi.org/10.1029/2017JD028232.
     
  209. Pan, Z., F. Mao, W. Wang, B. Zhu, X. Lu and W. Gong, 2018: “Impacts of 3D Aerosol, Cloud, and Water Vapor Variations on the Recent Brightening during the South Asian Monsoon Season”, Remote Sens., 10, 651; https://doi.org/10.3390/rs10040651.
     
  210. Pande, P., S. Dey, S. Chowdhury, P. Choudhary, S. Ghosh, P. Srivastava and B. Sengupta, 2018: “Seasonal transition in PM10 exposure and associated all-cause mortality risks in India”, Environ. Sci. Technol., 52, 8756-8763, https://doi.org/10.1021/acs.est.8b00318.
     
  211. Pani, S., K., N.-H. Lin, S. Chantara, S.-H. Wang, C. Khamkaew, T. Prapamontol and S. Janjai, 2018: “Radiative response of biomass-burning aerosols over an urban atmosphere in northern peninsular Southeast Asia”, Sci. Total Environ., 633, 892-911, https://doi.org/10.1016/j.scitotenv.2018.03.204.
     
  212. Paz Martín, D., 2018: “Integration of atmospheric processes of different scales to improve the modeling of air quality associated with particulate material in urban environments”, Ph.D. Thesis, Department of Chemical, Industrial and Environmental Engineering, Polytechnic University of Madrid [see https://doi.org/10.20868/UPM.thesis.52307].
     
  213. Penner, J. E., C. Zhou, A. Garnier and D. L. Mitchell, 2018: “Anthropogenic Aerosol Indirect Effects in Cirrus Clouds”, J. Geophys. Res. Atmos., 123, 11,652-11,677, https://doi.org/10.1029/2018JD029204.
     
  214. Peterson, D. A., J. R. Campbell, E. J. Hyer, M. D. Fromm, G. P. Kablick III, J. H. Cossuth and M. T. DeLand, 2018: “Wildfire-driven thunderstorms cause a volcano-like stratospheric injection of smoke”, npj Climate and Atmospheric Science, 1, https://doi.org/10.1038/s41612-018-0039-3.
     
  215. Pfreundschuh, S., P. Eriksson, D. Duncan, B. Rydberg, N. Håkansson and A. Thoss, 2018: “A neural network approach to estimate a posteriori distributions of Bayesian retrieval problems”, Atmos. Meas. Tech., 11, 4627-4643, https://doi.org/10.5194/amt-11-4627-2018.
     
  216. Pitts, M. C., L. R. Poole and R. Gonzalez, 2018: “Polar stratospheric cloud climatology based on CALIPSO spaceborne lidar measurements from 2006-2017”, Atmos. Chem. Phys., 18, 10881-10913, https://doi.org/10.5194/acp-18-10881-2018.
     
  217. Prijith, S. S., P. V. N. Rao, M. Mohan, M. V. R. S. Sai and M. V. Ramana, 2018: “Trends of absorption, scattering and total aerosol optical depths over India and surrounding oceanic regions from satellite observations: role of local production, transport and atmospheric dynamics”, Environ. Sci. Pollut. R., https://doi.org/10.1007/s11356-018-2032-0.
     
  218. Priyadharshini, B., S. Verma, D. M. Giles and B. N. Holben, 2018: “Discerning the pre-monsoon urban atmosphere aerosol characteristic and its potential source type remotely sensed by AERONET over the Bengal Gangetic plain”, Environ. Sci. Pollut. R., 25, 22163-22179, https://doi.org/10.1007/s11356-018-2290-x.
     
  219. Proestakis, E., V. Amiridis, E. Marinou, A. K. Georgoulias, S. Solomos, S. Kazadzis, J. Chimot, H. Che, G. Alexandri, I. Binietoglou, K. A. Kourtidis, G. de Leeuw and R. J. van der A, 2018: “9-year spatial and temporal evolution of desert dust aerosols over South-East Asia as revealed by CALIOP”, Atmos. Chem. Phys., 18, 1337-1362, https://doi.org/10.5194/acp-18-1337-2018.
     
  220. Proestakis, E. S., 2018: “Remote Sensing from space for depicting the aerosol connection with atmospheric electricity”, Ph.D. Thesis, School of Natural Sciences, Department of Physics, University of Patras, 175 pp. [see http://hdl.handle.net/10442/hedi/43555].
     
  221. Pu, B. and P. Ginoux, 2018: “Climatic factors contributing to long-term variations in surface fine dust concentration in the United States”, Atmos. Chem. Phys., 18, 4201-4215, https://doi.org/10.5194/acp-18-4201-2018.
     
  222. Pu, B. and P. Ginoux, 2018: “How reliable are CMIP5 models in simulating dust optical depth?”, Atmos. Chem. Phys., 18, 12491-12510, https://doi.org/10.5194/acp-18-12491-2018.
     
  223. Purbantoro, B., J. Aminuddin, N. Manago, K. Toyoshima, N. Lagrosas, J. T. S. Sumantyo and H. Kuze, 2018: “Comparison of Cloud Type Classification with Split Window Algorithm Based on Different Infrared Band Combinations of Himawari-8 Satellite”, Advances in Remote Sensing, 7, 218-234, https://doi.org/10.4236/ars.2018.73015.
     
  224. Qin, Y. and Y. Lin, 2018: “Alleviated double ITCZ problem in NCAR CESM1: a new cloud scheme and the working mechanisms”, JAMES, 10, 2318-2332, https://doi.org/10.1029/2018MS001343.
     
  225. Qin, Y., Y. Lin, S. Xu, H.-Y. Ma and S. Xie, 2018: “A Diagnostic PDF Cloud Scheme to Improve Subtropical Low Clouds in NCAR Community Atmosphere Model (CAM5)”, JAMES, 10, 320-341, https://doi.org/10.1002/2017MS001095.
     
  226. Qiu, Y. and Z. Shu, 2018: “The effect of relative humidity on the tropospheric aerosol extinction coefficient with typical underlying surfaces based on CALIPSO data”, Int. J. Remote Sens., 39, 276-288, https://doi.org/10.1080/01431161.2017.1371860.
     
  227. Qiu, Y., L. Zhang and Y. Chen, 2018: “Statistical Comparison of Regional-Scale Tropospheric Aerosol Extinction Coefficient across China Based on CALIPSO Data”, Aerosol Air. Qual. Res., 18, 1351-1359, https://doi.org/10.4209/aaqr.2017.10.0385.
     
  228. Ratnam, M. V., P. Prasad, M. R. Raman, V. Ravikiran, S. V. B. Rao, B. V. K. Murthy and A. Jayaraman, 2018: “Role of dynamics on the formation and maintenance of the elevated aerosol layer during monsoon season over south-east peninsular India”, Atmos. Environ., 188, 43-49, https://doi.org/10.1016/j.atmosenv.2018.06.023.
     
  229. Reinares Martínez, I., and J. Chaboureau, 2018: “Precipitation and Mesoscale Convective Systems: Radiative Impact of Dust over Northern Africa”, Mon. Wea. Rev., 146, 3011-3029, https://doi.org/10.1175/MWR-D-18-0103.1.
     
  230. Renard, J.-B., F. Dulac, P. Durand, Q. Bourgeois, C. Denjean, D. Vignelles, B. Couté, M. Jeannot, N. Verdier and M. Mallet, 2018: “In situ measurements of desert dust particles above the western Mediterranean Sea with the balloon-borne Light Optical Aerosol Counter/sizer (LOAC) during the ChArMEx campaign of summer 2013”, Atmos. Chem. Phys., 18, 3677-3699, https://doi.org/10.5194/acp-18-3677-2018.
     
  231. Resquin, M. D., D. Santágata, L. Gallardo, D. Gómez, C. Rössler and L. Dawidowski, 2018: “Local and remote black carbon sources in the Metropolitan Area of Buenos Aires”, Atmos. Environ., 182, 105-114, https://doi.org/10.1016/j.atmosenv.2018.03.018.
     
  232. Ricaud, P., R. Zbinden, V. Catoire, V. Brocchi, F. Dulac, E. Hamonou, J. Canonici, L. El Amraoui, S. Massart, B. Piguet, U. Dayan, P. Nabat, J. Sciare, M. Ramonet, M. Delmotte, A. di Sarra, D. Sferlazzo, T. di Iorio, S. Piacentino, P. Cristofanelli, N. Mihalopoulos, G. Kouvarakis, M. Pikridas, C. Savvides, R. Mamouri, A. Nisantzi, D. Hadjimitsis, J. Attié, H. Ferré, Y. Kangah, N. Jaidan, J. Guth, P. Jacquet, S. Chevrier, C. Robert, A. Bourdon, J. Bourdinot, J. Etienne, K. Gisèle and T. Pierre, 2018: “The GLAM airborne campaign across the Mediterranean Basin”, B. Am. Meteorol. Soc., 99, 361-380, https://doi.org/10.1175/BAMS-D-16-0226.1.
     
  233. Richardson, M. and G. L. Stephens, 2018: “Information content of OCO-2 oxygen A-band channels for retrieving marine liquid cloud properties”, Atmos. Meas. Tech., 11, 1515-1528, https://doi.org/10.5194/amt-11-1515-2018.
     
  234. Ross, A. D., R. E. Holz, G. Quinn, J. S. Reid, P. Xian, F. J. Turk and D. J. Posselt, 2018: “Exploring the First Aerosol Indirect Effect over Southeast Asia Using a Ten-Year Collocated MODIS, CALIOP, and Model Dataset”, Atmos. Chem. Phys., 18, 12747-12764, https://doi.org/10.5194/acp-18-12747-2018.
     
  235. Sabbah, I., J.-F. Léon, M. Sorribas, B. Guinot, C. Córdoba-Jabonero, A. de Souza and F. Al Sharifi, 2018: “Dust and dust storms over Kuwait: Ground-based and satellite observations”, J. Atmos. Sol.-Terr. Phy., 179, 105-113, https://doi.org/10.1016/j.jastp.2018.06.006.
     
  236. Sack, A., 2018: “Study of the spatial differentiation of antiquities’ exposure to aerosols in Greece, using space-borne remote sensing”, M.S. Thesis, School of Humanities and Cultural Studies, Department of History, Archeology and Management of Cultural Goods, University of Peloponnese, 127 pp. [see http://amitos.library.uop.gr/xmlui/handle/123456789/4464].
     
  237. Sarkar, S., R. P. Singh, and A. Chauhan, 2018: “Crop Residue Burning in Northern India: Increasing Threat to Greater India”, J. Geophys. Res. Atmos., 123, 6920-6934, https://doi.org/10.1029/2018JD028428.
     
  238. Šavli, M., 2018: “Assimilation of spaceborne Doppler wind lidar observations in a mesoscale model”, Ph.D. Thesis, Department of Physics, University of Ljubljana, 173 pp. [see https://repozitorij.uni-lj.si/IzpisGradiva.php?id=104358&lang=eng].
     
  239. Sayer, A. M., N. C. Hsu, J. L. Woogyung, V. Kim, O. Dubovik, S. T. Dutcher, D. Huang, P. Litvinov, A. I. Lyapustin, J. L. Tackett and D. M. Winker, 2018: “Validation of SOAR VIIRS over-water aerosol retrievals, and context within the global satellite aerosol data record”, J. Geophys. Res. Atmos., 123, 13,496-13,526, https://doi.org/10.1029/2018JD029465.
     
  240. Scambos, T. A., G. G. Campbell, A. Pope, T. Haran, A. Muto, M. Lazzara, C. H. Reijmer and M. R. van den Broeke, 2018: “Ultralow surface temperatures in East Antarctica from satellite thermal infrared mapping: The coldest places on Earth”, Geophys. Res. Lett., 45, 6124-6133, https://doi.org/10.1029/2018GL078133.
     
  241. Schoeberl, M. R., E. J. Jensen, L. Pfister, R. Ueyama, M. Avery and A. E. Dessler, 2018: “Convective Hydration of the Upper Troposphere and Lower Stratosphere”, J. Geophys. Res. Atmos., 123, 4583-4593, https://doi.org/10.1029/2018JD028286.
     
  242. Sedlar, J., 2018: “Spring Arctic Atmospheric Preconditioning: Do Not Rule Out Shortwave Radiation Just Yet”, J. Climate, 31, 4225-4240, https://doi.org/10.1175/JCLI-D-17-0710.1.
     
  243. Seto, R., T. Koike and S. Kanae, 2018: “Representing cloud water content of extensive cloud systems over land using satellite‐based passive microwave observations with a coupled land and atmosphere assimilation method”, J. Geophys. Res. Atmos., 123, 12,829-12,856, https://doi.org/10.1029/2018JD028864.
     
  244. Shang, H., H. Letu, T. Y. Nakajima, Z. Wang, R. Ma, T. Wang, Y. Lei, D. Ji, S. Li and J. Shi, 2018: “Diurnal cycle and seasonal variation of cloud cover over the Tibetan Plateau as determined from Himawari-8 new-generation geostationary satellite data”, Scientific Reports, 8, 1105, https://doi.org/10.1038/s41598-018-19431-w.
     
  245. Shang, H., Letu, H., Peng, Z., and Wang, Z, 2018: “Development of a Daytime Cloud and Aerosol Loadings Detection Algorithm for HIMAWARI-8 Satellite Measurements Over Desert”, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W5, 61-66, https://doi.org/10.5194/isprs-archives-XLII-3-W5-61-2018.
     
  246. Shahzad, M. I., J. E. Nichol, J. R. Campbell and M. S. Wong, 2018: “Assessment of MODIS, OMI, MISR and CALIOP Aerosol Products for Estimating Surface Visual Range: A Mathematical Model for Hong Kong”, Remote Sens., 10, 1333, https://doi.org/10.3390/rs10091333.
     
  247. She, L., Y. Xue, J. Guang, Y. Che, C. Fan, Y. Li, and Y. Xie, 2018: “Towards a comprehensive view of dust events from multiple satellite and ground measurements: exemplified by the May 2017 East Asian dust storm”, Nat. Hazards Earth Syst. Sci., 18, 3187-3201, https://doi.org/10.5194/nhess-18-3187-2018.
     
  248. Shi, C.-H., S.-J. Chang, D. Guo, J.-J. Xu and C.-X. Zhang, 2018: “Exploring the relationship between the cloud-top and tropopause height in boreal summer over the Tibetan Plateau and its adjacent region”, Atmos. Oceanic Sci. Lett., 11, 173-179, https://doi.org/10.1080/16742834.2018.1438738.
     
  249. Shikwambana, L. and V. Sivakumar, 2018: “Global distribution of aerosol optical depth in 2015 using CALIPSO level 3 data”, J. Atmos. Sol.-Terr. Phy., 173, 150-159, https://doi.org/10.1016/j.jastp.2018.04.003.
     
  250. Shikwambana, L. and V. Sivakumar, 2018: “Long-range transport of volcanic aerosols over South Africa: a case study of the Calbuco volcanic eruption in Chile during April 2015”, S. Afr. Geogr. J., 100, 349-363, https://doi.org/10.1080/03736245.2018.1498383.
     
  251. Shin, D. and J.-H. Kim, 2018: “A New Application of Unsupervised Learning to Nighttime Sea Fog Detection”, Asia-Pac. J. Atmos. Sci., 54, 527-544, https://doi.org/10.1007/s13143-018-0050-y.
     
  252. Singh, N., T. Banerjee, M. P. Raju, K. Deboudt, M. Sorek-Hamer, R. S. Singh, and R. K. Mall, 2018: “Aerosol chemistry, transport, and climatic implications during extreme biomass burning emissions over the Indo-Gangetic Plain”, Atmos. Chem. Phys., 18, 14197-14215, https://doi.org/10.5194/acp-18-14197-2018.
     
  253. Singh, R. P., S. Kumar and A. K. Singh, 2018: “Elevated Black Carbon Concentrations and Atmospheric Pollution around Singrauli Coal-Fired Thermal Power Plants (India) Using Ground and Satellite Data”, Int. J. Env. Res. Pub. He., 15, 2472, https://doi.org/10.3390/ijerph15112472.
     
  254. Song, H., Z. Zhang, P.-L. Ma, S. J. Ghan and M. Wang, 2018: “An Evaluation of Marine Boundary Layer Cloud Property Simulations in the Community Atmosphere Model Using Satellite Observations: Conventional Subgrid Parameterization versus CLUBB”, J. Climate, 31, 2299-2320, https://doi.org/10.1175/JCLI-D-17-0277.1.
     
  255. Song, Q., Z. Zhang, H. Yu, S. Kato, P. Yang, Colarco, L. A. Remer and C. L. Ryder, 2018: “Net radiative effects of dust in the tropical North Atlantic based on integrated satellite observations and in situ measurements”, Atmos. Chem. Phys., 18, 11303-11322, https://doi.org/10.5194/acp-18-11303-2018.
     
  256. Sourdeval, O., E. Gryspeerdt, M. Krämer, T. Goren, J. Delanoë, A. Afchine, F. Hemmer and J. Quaas, 2018: “Ice crystal number concentration estimates from lidar-radar satellite remote sensing. Part 1: Method and evaluation”, Atmos. Chem. Phys., 18, 14327-14350, https://doi.org/10.5194/acp-18-14327-2018.
     
  257. Spang, R., L. Hoffmann, R. Müller, J.-U. Grooß, I. Tritscher, M. Höpfner, M. Pitts, A. Orr, and M. Riese, 2018: “A climatology of polar stratospheric cloud composition between 2002 and 2012 based on MIPAS/Envisat observations”, Atmos. Chem. Phys., 18, 5089-5113, https://doi.org/10.5194/acp-18-5089-2018.
     
  258. Srivastava, A. K., D. Kumara, A. Misra, V. P. Kanawade, V. Pathak, S. Tiwari and P.C.S. Devara, 2018: “Aerosol characteristics in the upper troposphere and lower stratosphere region during successive and contrasting Indian summer monsoon season”, Atmos. Environ., 173, 46-52, https://doi.org/10.1016/j.atmosenv.2017.11.004.
     
  259. Srivastava, P., S. Dey, A. K. Srivastava, S. Singh and S. Tiwari, 2018: “Most probable mixing state of aerosols in Delhi NCR, northern India”, Atmos. Res., 200, 88-96, https://doi.org/10.1016/j.atmosres.2017.09.018.
     
  260. Stengel, M., C. Schlundt, S. Stapelberg, O. Sus, S. Eliasson, U. Willén, and J. F. Meirink, 2018: “Comparing ERA-Interim clouds with satellite observations using a simplified satellite simulator”, Atmos. Chem. Phys., 18, 17601-17614, https://doi.org/10.5194/acp-18-17601-2018.
     
  261. Stephens, G., D. Winker, J. Pelon, C. Trepte, D. Vane, C. Yuhas, T. L’Ecuyer and M. Lebsock, 2018: “CloudSat and CALIPSO within the A-Train: Ten years of actively observing the Earth system”, B. Am. Meteorol. Soc., 99, 583-603, https://doi.org/10.1175/BAMS-D-16-0324.1.
     
  262. Strandgren, J., 2018: “The life cycle of anvil cirrus clouds from a combination of passive and active satellite remote sensing”, Ph.D. Thesis, Department of Physics, Ludwig-Maximilians-Universitauml;t, 134 pp. [see https://edoc.ub.uni-muenchen.de/22789/].
     
  263. Su, L. and J. C. H. Fung, 2018: “Investigating the role of dust in ice nucleation within clouds and further effects on the regional weather system over East Asia - Part 1: model development and validation”, Atmos. Chem. Phys., 18, 8707-8725, https://doi.org/10.5194/acp-18-8707-2018.
     
  264. Su, T., Z. Li and R. Kahn, 2018: “Relationships between the planetary boundary layer height and surface pollutants derived from lidar observations over China: regional pattern and influencing factors”, Atmos. Chem. Phys., 18, 15921-15935, https://doi.org/10.5194/acp-18-15921-2018.
     
  265. Sun, J., J. P. Veefkind, P. van Velthoven, and P. F. Levelt, 2018: “Quantifying the single scattering albedo for the January 2017 Chile wildfires from simulations of the OMI absorbing aerosol index”, Atmos. Meas. Tech., 11, 5261-5277, https://doi.org/10.5194/amt-11-5261-2018.
     
  266. Sun, T., H. Che, B. Qi, Y. Wang, Y. Dong, X. Xia, H. Wang, K. Gui, Y. Zheng, H. Zhao, Q. Ma, R. Du, and X. Zhang, 2018: “Aerosol optical characteristics and their vertical distributions under enhanced haze pollution events: effect of the regional transport of different aerosol types over eastern China”, Atmos. Chem. Phys., 18, 2949-2971, https://doi.org/10.5194/acp-18-2949-2018.
     
  267. Sus, O., M. Stengel, S. Stapelberg, G. McGarragh, C. Poulsen, A. C. Povey, C. Schlundt, G. Thomas, M. Christensen, S. Proud, M. Jerg R. Grainger, and R. Hollmann, 2017: “The Community Cloud retrieval for Climate (CC4CL). Part I: A framework applied to multiple satellite imaging sensors”, Atmos. Meas. Tech., 11, 3373-3396, https://doi.org/10.5194/amt-11-3373-2018.
     
  268. Tackett, J. L., D. M. Winker, B. J. Getzewich, M. A. Vaughan, S. A. Young and J. Kar, 2018: “CALIPSO lidar level 3 aerosol profile product: version 3 algorithm design”, Atmos. Meas. Tech., 11, 4129-4152, https://doi.org/10.5194/amt-11-4129-2018.
     
  269. Tan, I., T. Storelvmo and M. D. Zelinka, 2018: “The Climatic Impact of Thermodynamic Phase Partitioning in Mixed-Phase Clouds”, in Mixed-Phase Clouds: Observations and Modeling, C. Andronache, Ed., Elsevier, ISBN: 978-0-12-810549-8, pp. 237-264, https://doi.org/10.1016/B978-0-12-810549-8.00010-6.
     
  270. Tan, S.-C., X. Zhang, H. Wang, B. Chen, G.-Y. Shi and C. Shi, 2018: “Comparisons of cloud detection among four satellite sensors on severe haze days in eastern China”, Atmos. Oceanic Sci. Lett., 11, 86-93, https://doi.org/10.1080/16742834.2017.1381547.
     
  271. Tang, Q., Y. Hu, W. Li, J. Huang and K. Stamnes, 2018: “Optimizing cirrus optical depth retrievals over the ocean from collocated CALIPSO and AMSR-E observations”, Appl. Opt., 57, 7472-7481, https://doi.org/10.1364/AO.57.007472.
     
  272. Testorp, S., 2018: “Satellite Cloud Property Retrieval in the O2 A Band: Inclusion of Cloud Vertical Extinction Profiles”, Ph.D. Thesis, Department of Geosciences, Free University of Berlin, 141 pp. [see https://refubium.fu-berlin.de/handle/fub188/23346].
     
  273. Thölix, L., 2018: “Modelling of Arctic stratospheric ozone and water vapour and their changes”, Ph.D. Thesis, Department of Physics, University of Helsinki, 50 pp. [see http://hdl.handle.net/10138/257512].
     
  274. Thomason, L. W., N. Ernest, L. Millán, L. Rieger, A. Bourassa, J.-P. Vernier, G. Manney, B. Luo, F. Arfeuille and T. Peter, 2018: “A global, space-based stratospheric aerosol climatology: 1979 to 2016”, Earth Syst. Sci. Data, 10, 469-492, https://doi.org/10.5194/essd-10-469-2018.
     
  275. Thorsen, T. J., S. Kato, N. G. Loeb and F. G. Rose, 2018: “Observation-based decomposition of radiative perturbations and radiative kernels”, J. Climate, 31, 10039-10058, https://doi.org/10.1175/JCLI-D-18-0045.1.
     
  276. Toth, T. D., J. R. Campbell, J. S. Reid, J. L. Tackett, M. A. Vaughan, J. Zhang, and J. W. Marquis, 2017: “Minimum Aerosol Layer Detection Sensitivities and their Subsequent Impacts on Aerosol Optical Thickness Retrievals in CALIPSO Level 2 Data Products”, Atmos. Meas. Tech., 11, 499-514, https://doi.org/10.5194/amt-11-499-2018.
     
  277. Toth, T. D., 2018: “An Investigation of Particulate Matter Air Pollution Using CALIOP Observations”, Ph.D. Thesis, Department of Atmospheric Sciences, University of North Dakota, 181 pp.
     
  278. Ueyama, R., E. J. Jensen, and L. Pfister, 2018: “Convective influence on the humidity and clouds in the tropical tropopause layer during boreal summer”, J. Geophys. Res. Atmos., 123, 7576-7593, https://doi.org/10.1029/2018JD028674.
     
  279. Unglaub, C., 2018: “Cloud regime based analysis of adjustments to aerosol-cloud interactions using spaceborne measurements”, Ph.D. Thesis, Fakultät für Physik und Geowissenschaften, Leipziger Institut für Meteorologie, Universität Leipzig, 93 pp. [see https://nbn-resolving.org/urn:nbn:de:bsz:15-qucosa2-210735].
     
  280. Uzan, L., S. Egert and P. Alpert, 2018: “New insights into the vertical structure of the September 2015 dust storm employing eight ceilometers and auxiliary measurements over Israel”, Atmos. Chem. Phys., 18, 3203-3221, https://doi.org/10.5194/acp-18-3203-2018.
     
  281. Vaillant de Guélis, T., H. Chepfer, R. Guzman, M. Bonazzola, D. M. Winker and V. Noel, 2018: “Space lidar observations constrain longwave cloud feedback”, Sci. Rep., 8, 16570, https://doi.org/10.1038/s41598-018-34943-1.
     
  282. Vaishya, A., S. N. S. Babu, V. Jayachandran, M. M. Gogoi, N. B. Lakshmi, K. K. Moorthy, and S. K. Satheesh, 2018: “Large contrast in the vertical distribution of aerosol optical properties and radiative effects across the Indo-Gangetic Plain during SWAAMI-RAWEX campaign”, Atmos. Chem. Phys., 18, 17669-17685, https://doi.org/10.5194/acp-18-17669-2018.
     
  283. van Wessem, J. M., W. J. van de Berg, B. P. Y. Noël, E. van Meijgaard, G. Birnbaum, C. L. Jakobs, K. Krüger, J. T. M. Lenaerts, S. Lhermitte, S. R. M. Ligtenberg, B. Medley, C. H. Reijmer, K. van Tricht, L. D. Trusel, L. H. van Ulft, B. Wouters, J. Wuite, and M. R. van den Broeke, 2018: “Modelling the climate and surface mass balance of polar ice sheets using RACMO2, part 2: Antarctica (1979-2016)”, The Cryosphere, 12, 1479-1498, https://doi.org/10.5194/tc-12-1479-2018.
     
  284. Va´rnai, T. and A. Marshak, 2018: “Satellite Observations of Cloud-Related Variations in Aerosol Properties”, Atmosphere, 9, 430, https://doi.org/10.3390/atmos9110430.
     
  285. Vaughan, G., A. P. Draude, H. M. A. Ricketts, D. M. Schultz, M. Adam, J. Sugier, and D. P. Wareing, 2018: “Transport of Canadian forest fire smoke over the UK as observed by lidar”, Atmos. Chem. Phys., 18, 11375-11388, https://doi.org/10.5194/acp-18-11375-2018.
     
  286. Vernier, J., T. Fairlie, T. Deshler, M. Ratnam, H. Gadhavi, S. Kumar, M. Natarajan, A. Pandit, A. Raj, H. Kumar, A. Jayaraman, A. Singh, N. Rastogi, P. Sinha, S. Kumar, S. Tiwari, T. Wegner, N. Baker, D. Vignelles, G. Stenchikov, I. Shevchenko, J. Smith, K. Bedka, A. Kesarkar, V. Singh, J. Bhate, V. Ravikiran, M. Rao, R. Babu, A. Patel, H. Vernier, F. Wienhold, H. Liu, T. Knepp, L. Thomason, J. Crawford, L. Ziemba, J. Moore, S. Crumeyrolle, M. Williamson, G. Berthet, F. Jegou, and J. Renard, 2018: “BATAL: The Balloon measurement campaigns of the Asian Tropopause Aerosol Layer”, B. Am. Meteorol. Soc., 99, 955-973, https://doi.org/10.1175/BAMS-D-17-0014.1.
     
  287. Voigt, C., A. Dörnbrack, M. Wirth, S. M. Groß, M. C. Pitts, L. R. Poole, R. Baumann, B. Ehard, B.-M. Sinnhuber, W. Woiwode, and H. Oelhaf, 2018: “Widespread polar stratospheric ice clouds in the 2015/2016 Arctic winter - Implications for ice nucleation”, Atmos. Chem. Phys., 18, 15623-15641, https://doi.org/10.5194/acp-18-15623-2018.
     
  288. Wall, C. J. and D. L. Hartmann, 2018: “Balanced Cloud Radiative Effects Across a Range of Dynamical Conditions Over the Tropical West Pacific”, Geophys. Res. Lett., 45, 11,490-11,498, https://doi.org/10.1029/2018GL080046.
     
  289. Wan, J., J. Su, S. Liu and H. Sheng, 2018: “The Research on the Spectral Characteristics of Sea Fog Based on CALIOP and MODIS Data”, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 1667-1671, https://doi.org/10.5194/isprs-archives-XLII-3-1667-2018.
     
  290. Wang, F. and S. Yang, 2018: “Can CFMIP2 models reproduce the leading modes of cloud vertical structure in the CALIPSO-GOCCP observations?”, Theor. Appl. Climatol., 131, 1465-1477, https://doi.org/10.1007/s00704-017-2051-7.
     
  291. Wang, J., C. Liu, M. Min, X. Hu, Q. Lu and L. Husi, 2018: “Effects and Applications of Satellite Radiometer 2.25-μm Channel on Cloud Property Retrievals”, IEEE Trans. Geosci. Remote Sens., 56, 5207-5216, https://doi.org/10.1109/TGRS.2018.2812082.
     
  292. Wang, J., Y. Yue, Y. Wang, C. Ichoku, L. Ellison and J. Zeng, 2018: “Mitigating satellite-based fire sampling limitations in deriving biomass burning emission rates: Application to WRF-Chem model over the Northern Sub-saharan African Region”, J. Geophys. Res. Atmos., 123, 507-528, https://doi.org/10.1002/2017JD026840.
     
  293. Wang, S.-C., Y. Wang, M. Estes, R. Lei, R. Talbot, L. Zhu and P. Hou, 2018: “Transport of Central American fire emissions to the U.S. Gulf Coast: Climatological pathways and impacts on ozone and PM2.5”, J. Geophys. Res. Atmos., 123, 8344-8361, https://doi.org/10.1029/2018JD028684.
     
  294. Wang, T., J. Shi, Y. Yu, L. Husi, B. Gao, W. Zhou, D. Ji, T. Zhao, C. Xiong and L. Chen, 2018: “Cloudy-sky land surface longwave downward radiation (LWDR) estimation by integrating MODIS and AIRS/AMSU measurements”, Remote Sens. Environ., 205, 100-111, https://doi.org/10.1016/j.rse.2017.11.011.
     
  295. Wang, X., J. Liu, H. Che, F. Ji and J. Liu, 2018: “Spatial and temporal evolution of natural and anthropogenic dust events over northern China”, Scientific Reports, 8, 2141, https://doi.org/10.1038/s41598-018-20382-5.
     
  296. Wang, Y., D. Zhang, X. Liu and Z. Wang, 2018: “Distinct Contributions of Ice Nucleation, Large-Scale Environment, and Shallow Cumulus Detrainment to Cloud Phase Partitioning with NCAR CAM5”, J. Geophys. Res. Atmos., 123, 1132-1154, https://doi.org/10.1002/2017JD027213.
     
  297. Watson-Parris, D., N. Schutgens, D. Winker, S. P. Burton, R. A. Ferrare and P. Stier, 2018: “On the limits of CALIOP for constraining modelled free-tropospheric aerosol”, Geophys. Res. Lett., 45, 9260-9266, https://doi.org/10.1029/2018GL078195.
     
  298. Whiteman, D. N., D. Pérez-Ramírez, I. Veselovskii P. Colarco and V. Buchard, 2018: “Retrievals of aerosol microphysics from simulations of spaceborne multiwavelength lidar measurements”, JQSRT, 205, 27-39, https://doi.org/10.1016/j.jqsrt.2017.09.009.
     
  299. Woods, S., R. P. Lawson, E. Jensen, P. Bui, T. Thornberry, A. Rollins, L. Pfister and M. Avery, 2018: “Microphysical Properties of Tropical Tropopause Layer Cirrus”, J. Geophys. Res. Atmos., 123, 6053-6069, https://doi.org/10.1029/2017JD028068.
     
  300. Wu, D. L., T. Wang, T. Várnai, J. A. Limbacher, R. A. Kahn, G. Taha, J. N. Lee, J. Gong and T. Yuan, 2018: “MISR Radiance Anomalies Induced by Stratospheric Volcanic Aerosols”, Remote Sens., 10, 1875; https://doi.org/10.3390/rs10121875.
     
  301. Wu, Y., 2018: “Retrieval of Aerosol Optical Depth Over Land by Inverse Modeling of Multi-Source Satellite Data”, Ph.D. Thesis, Delft University of Technology, 111 pp., https://doi.org/10.4233/uuid:21d34d79-fc42-429d-860f-e6d17e0ca635.
     
  302. Wu, Y., A. Arapi, J. Huang, B. Gross and F. Moshary, 2018: “Intra-continental wildfire smoke transport and impact on local air quality observed by ground-based and satellite remote sensing in New York City”, Atmos. Environ., 187, 266-281, https://doi.org/10.1016/j.atmosenv.2018.06.006.
     
  303. Wu Y., Y. Han Y. and T. Wang, 2018: “Observations of Asian Dust and Agricultural Fire Smoke Episodes: Transport and Impacts on Regional Air Quality in Southeast China”, in Land-Atmospheric Research Applications in South and Southeast Asia, Vadrevu, K., T. Ohara and C. Justice, Eds., Springer Remote Sensing/Photogrammetry, Springer, Cham, pp. 83-104, https://doi.org/10.1007/978-3-319-67474-2_5.
     
  304. Xia, L., F. Zhao, L. Chen, R. Zhang, K. Mao, A. Kylling and Y. Ma, 2018: “Performance comparison of the MODIS and the VIIRS 1.38 μm cirrus cloud channels using libRadtran and CALIOP data”, Remote Sens. Environ., 206, 363-374, https://doi.org/10.1016/j.rse.2017.12.040.
     
  305. Xiao, Y., C. Binglong, M. Min, Z. Xingying, Y. Lilin, Z. Yiming, W. Lidong, W. Fu and D. Xiaobo, 2018: “Simulating return signals of a spaceborne high-spectral resolution lidar channel at 532 nm”, Opt. Commun., 417, 89-96, https://doi.org/10.1016/j.optcom.2018.02.046.
     
  306. Xu, C., J. Duan, Y. Wang, M. Li, T. Cheng, H. Wang, H. Zhu, X. Xie, Y. Liu, Y. Ling, X. Li, L. Kong, Q. He, H. Wang and R. Zhang, 2018: “Effects of Wintertime Polluted Aerosol on Clouds over the Yangtze River Delta: Case Study”, Aerosol Air. Qual. Res., 18, 1799-1816, https://doi.org/10.4209/aaqr.2017.09.0322.
     
  307. Xu, C., Y. Ma, K. Yang and C. You, 2018: “Tibetan Plateau impacts global dust transport in the upper troposphere”, J. Climate, 31, 4745-4756, https://doi.org/10.1175/JCLI-D-17-0313.1.
     
  308. Yamauchi, A., 2018: “A study of the vertical structures of ice and Kuroshio clouds using CloudSat/CALIPSO satellite data”, Ph.D. Thesis, Graduate School of Fisheries and Environmental Sciences, Nagasaki University, 105 pp. [see http://hdl.handle.net/10069/38473].
     
  309. Yamauchi, A., K. Kawamoto and H. Okamoto, 2018: “Differences in the fractions of ice clouds between eastern and western parts of Eurasian continent using CALIPSO in January 2007”, Atmos. Sci. Lett., 19, e807, https://doi.org/10.1002/asl.807.
     
  310. Yan, Y.-F., X.-C. Wang and Y.-M. Liu, 2018: “Cloud vertical structures associated with precipitation magnitudes over the Tibetan Plateau and its neighboring regions”, Atmos. Oceanic Sci. Lett., 11, 44-53, https://doi.org/10.1080/16742834.2018.1395680.
     
  311. Yang, P., S. Hioki, M. Saito, C.-P. Kuo, B. A. Baum and K.-N. Liou, 2018: “A Review of Ice Cloud Optical Property Models for Passive Satellite Remote Sensing”, Atmosphere, 9, 499, https://doi.org/10.3390/atmos9120499.
     
  312. Yang, X., J. Xu, F. Bi, Z. Zhang, Y. Chen, Y. He, F. Han, G. Zhi, S. Liu and F. Meng, 2018: “Aircraft measurement over the Gulf of Tonkin capturing aloft transport of biomass burning”, Atmos. Environ., 182, 41-50, https://doi.org/10.1016/j.atmosenv.2018.03.020.
     
  313. Yao, J., S. M. Raffuse, M. Brauer, G. J. Williamson, D. M. J. S. Bowman, F. H. Johnston and S. B. Henderson, 2018: “Predicting the minimum height of forest fire smoke within the atmosphere using machine learning and data from the CALIPSO satellite”, Remote Sens. Environ., 206, 98-106, https://doi.org/10.1016/j.rse.2017.12.027.
     
  314. Young, M. P., J. C. Chiu, C. J. Williams, T. H. Stein, M. Stengel, M. D. Fielding and E. Black, 2018: “Spatiotemporal variability of warm rain events over southern West Africa from geostationary satellite observations for climate monitoring and model evaluation”, Q. J. Roy. Meteorol. Soc., 144, 2311-2330, https://doi.org/10.1002/qj.3372.
     
  315. Young, S. A., M. A. Vaughan, J. L. Tackett, A, Garnier, J. B. Lambeth and K. A. Powell, 2018: “Extinction and Optical Depth Retrievals for CALIPSOrsquo;s Version 4 Data Release”, Atmos. Meas. Tech., 11, 5701-5727, https://doi.org/10.5194/amt-11-5701-2018.
     
  316. Yu, H., 2018: “The Relative Roles of Shallow and Deep Convection in the Variabilities of the Eastern Pacific ITCZ”, Ph.D. Thesis, Department of Marine and Atmospheric Science, Stony Brook University. [ProQuest Number: 13423743].
     
  317. Yu, L., Y. Fu. Y. Yang, R. Li, X. Qie and H. Cai, 2018: “Assessment of Longwave Radiative Effect of Nighttime Cirrus based on CloudSat and CALIPSO Measurements and Single-column Radiative Transfer Simulations”, JQSRT, 221, 87-97, https://doi.org/10.1016/j.jqsrt.2018.09.019.
     
  318. Yumimoto, K., T. Y. Tanaka, M. Yoshida, M. Kikuchi, T. M. Nagao, H. Murakami and T. Maki, 2018: “Assimilation and Forecasting Experiment for Heavy Siberian Wildfire Smoke in May 2016 with Himawari-8 Aerosol Optical Thickness”, J. Meteorol. Soc. Jpn., 96B, 133-149, https://doi.org/10.2151/jmsj.2018-035.
     
  319. Zafar, Q., S. Zafar and B. Holben, 2018: “Seasonal assessment and classification of aerosols transported to Lahore using AERONET and MODIS deep blue retrievals”, Int. J. Climatol., 38, 1022-1040, https://doi.org/10.1002/joc.5230.
     
  320. Zamora, L. M., R. A. Kahn, K. B. Huebert, A. Stohl, and S. Eckhardt, 2018: “A satellite-based estimate of combustion aerosol cloud microphysical effects over the Arctic Ocean”, Atmos. Chem. Phys., 18, 14949-14964, https://doi.org/10.5194/acp-18-14949-2018.
     
  321. Zelinka, M. D., K. M. Grise, S. A. Klein, C. Zhou, A. M. DeAngelis and M. W. Christensen, 2018: “Drivers of the Low Cloud Response to Poleward Jet Shifts in the North Pacific in Observations and Models”, J. Climate, 31, 7925-7947, https://doi.org/10.1175/JCLI-D-18-0114.1.
     
  322. Zhang, C., X. Sun, R. Zhang and Y. Liu, 2018: “Simulation and assessment of the solar background noise for spaceborne lidar”, Appl. Opt., 31, 9471-9479, https://doi.org/10.1364/AO.57.009471.
     
  323. Zhang, D., Z. Wang, P. Kollias, A. M. Vogelmann, K. Yang and T. Luo, 2018: “Ice particle production in mid-level stratiform mixed-phase clouds observed with collocated A-Train measurements”, Atmos. Chem. Phys., 18, 4317-4327, https://doi.org/10.5194/acp-18-4317-2018.
     
  324. Zhang, M., Y. Ma, L. Wang, W. Gong, B. Hu and Y. Shi, 2018: “Spatial-temporal characteristics of aerosol loading over the Yangtze River Basin during 2001-2015”, Int. J. Climatol., 38, 2138-2152, https://doi.org/10.1002/joc.5324.
     
  325. Zhang, M., L. Wang, M. Bilal, W. Gong, Z. Zhang and G. Guo, 2018: “The Characteristics of the Aerosol Optical Depth within the Lowest Aerosol Layer over the Tibetan Plateau from 2007 to 2014”, Remote Sens., 10, 696, https://doi.org/10.3390/rs10050696.
     
  326. Zhang, X.-X., B. Sharratt, L.-Y. Liu, Z.-F. Wang, X.-L. Pan, J.-Q. Lei, S.-X. Wu, S.-Y. Huang, Y.-H. Guo, J. Li, X. Tang, T. Yang, Y. Tian, X.-S. Chen, J.-Q. Hao, H.-T. Zheng, Y.-Y. Yang and Y.-L. Lyu, 2018: “East Asian dust storm in May 2017: observations, modelling, and its influence on the Asia-Pacific region”, Atmos. Chem. Phys., 18, 8353-8371, https://doi.org/10.5194/acp-18-8353-2018.
     
  327. Zhang, Y., S. Kang, G. Li, T. Gao, P. Chen, X. Li, Y. Liu, Z. Hu, S. Sun, J. Guo, K. Wang, X. Chen and M. Sillanpää, 2018: “Dissolved organic carbon in glaciers of the southeastern Tibetan Plateau: Insights into concentrations and possible sources”, PLOS ONE, 13, e0205414, https://doi.org/10.1371/journal.pone.0205414.
     
  328. Zhang, Z. Y., M. S. Wong and J. R. Campbell, 2018: “Conceptualizing How Severe Haze Events Are Impacting Long-Term Satellite-Based Trend Studies of Aerosol Optical Thickness over Asia”, in Land-Atmospheric Research Applications in South and Southeast Asia, Vadrevu, K., T. Ohara and C. Justice, Eds., Springer Remote Sensing/Photogrammetry, Springer, Cham, pp. 425-445, https://doi.org/10.1007/978-3-319-67474-2_20.
     
  329. Zhao, B., Y. Gu, K.-N. Liou, Y. Wang, X. Liu, L. Huang, J. H. Jiang and H. Su, 2018: “Type-dependent responses of ice cloud properties to aerosols from satellite retrievals”, Geophys. Res. Lett., 45, 3297-3306, https://doi.org/10.1002/2018GL077261.
     
  330. Zhao, B., J. H. Jiang, D. J. Diner, H. Su, Y. Gu, K.-N. Liou, Z. Jiang, L. Huang, Y. Takano, X. Fan and A. H. Omar, 2018: “Intra-annual variations of regional aerosol optical depth, vertical distribution, and particle types from multiple satellite and ground-based observational datasets”, Atmos. Chem. Phys., 18, 11247-11260, https://doi.org/10.5194/acp-18-11247-2018.
     
  331. Zhao, B., K.-N. Liou, Y. Gu, J. H. Jiang, Q. Li, R. Fu, L. Huang, X. Liu, X. Shi, H. Su, and C. He, 2018: “Impact of aerosols on ice crystal size”, Atmos. Chem. Phys., 18, 1065-1078, https://doi.org/10.5194/acp-18-1065-2018.
     
  332. Zheng, J., D. Liu, Z. Wang and Y. Wang, 2018: “Differences among Three Types of Tropical Deep Convective Clusters Observed from A-Train Satellites”, JQSRT, 217, 253-261, https://doi.org/10.1016/j.jqsrt.2018.05.006.
     
  333. Zheng, S. and R. P. Singh, 2018: “Aerosol and Meteorological Parameters Associated with the Intense Dust Event of 15 April 2015 over Beijing, China”, Remote Sens., 10, 957, https://doi.org/10.3390/rs10060957.
     
  334. Zhou, D., K. Ding, X. Huang, L. Liu, Q. Liu, Z. Xu, F. Jiang, C. Fu, and A. Ding, 2018: “Transport, mixing, and feedback of dust, biomass burning and anthropogenic pollutants in eastern Asia: A case study”, Atmos. Chem. Phys., 18, 16345-16361, https://doi.org/10.5194/acp-18-16345-2018.
     
  335. Zhou, S, S. Peng, M. Wang, A. Shen and Z. Liu, 2018: “The Characteristics and Contributing Factors of Air Pollution in Nanjing: A Case Study Based on an Unmanned Aerial Vehicle Experiment and Multiple Datasets”, Atmosphere, 9, 343, https://doi.org/10.3390/atmos9090343.
     
  336. Zhu, Q., Y. Liu, R. Jia, S. Hua, T. Shao and B. Wang, 2018: “A numerical simulation study on the impact of smoke aerosols from Russian forest fires on the air pollution over Asia”, Atmos. Environ., 182, 263-274, https://doi.org/10.1016/j.atmosenv.2018.03.052.
     
  337. Zhu, Y., O. B. Toon, D. Kinnison, V. L. Harvey, M. J. Mills, C. G. Bardeen, M. Pitts, N. Bègue, J.-B. Renard, G. Berthet and F. Jégou, 2018: “Stratospheric Aerosols, Polar Stratospheric Clouds, and Polar Ozone Depletion After the Mount Calbuco Eruption in 2015”, J. Geophys. Res. Atmos., 123, 12,308-12,331, https://doi.org/10.1029/2018JD028974.
     
  338. Zhu, Z., M. Zhang, Y. Huang, B. Zhu, G. Han, T. Zhang and B. Liu, 2018: “Characteristics of the planetary boundary layer above Wuhan, China based on CALIPSO”, Atmos. Res., 214, 204-212, https://doi.org/10.1016/j.atmosres.2018.07.024.
     
  339. Zhuang, B., T. Wang, J. Liu, H. Che, Y. Han, Y. Fu, S. Li, M. Xie, M. Li, P. Chen, H. Chen, X. Yang and J. Sun, 2018: “The optical properties, physical properties and direct radiative forcing of urban columnar aerosols in the Yangtze River Delta, China”, Atmos. Chem. Phys., 18, 1419-1436, https://doi.org/10.5194/acp-18-1419-2018.
     
  340. Zidikheri, M. J., C. Lucas and R. J. Potts, 2018: “Quantitative verification and calibration of volcanic ash ensemble forecasts using satellite data”, J. Geophys. Res. Atmos., 123, 4135-4156, https://doi.org/10.1002/2017JD027740.
     
  341. Zou, J., K. Qin, J. Xu, and X. Han, 2018: “Investigating Aloft Aerosols Over Central-eastern China Using CALIPSO Measurements”, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W5, 83-88, https://doi.org/10.5194/isprs-archives-XLII-3-W5-83-2018.
     

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Published in 2017
  1. Abdelkader, M., S. Metzger, B. Steil, K. Klingmüller, H. Tost, A. Pozzer, G. Stenchikov, L. Barrie and J. Lelieveld, 2017: “Sensitivity of transatlantic dust transport to chemical aging and related atmospheric processes”, Atmos. Chem. Phys., 17, 3799-3821, https://doi.org/10.5194/acp-17-3799-2017.
     
  2. Ai Y., J. Li, W. Shi, T.J. Schmit, C. Cao and W. Li, 2017: “Deep Convective Cloud Characterizations from both Broadband Imager and Hyperspectral Infrared Sounder Measurements”, J. Geophys. Res., 122, 1700-1712, https://doi.org/10.1002/2016JD025408.
     
  3. Alfaro-Contreras, R., J. Zhang, J. S. Reid and S. Christopher, 2017: “A study of 15-year aerosol optical thickness and direct shortwave aerosol radiative effect trends using MODIS, MISR, CALIOP and CERES”, Atmos. Chem. Phys., 17, 13849-13868, https://doi.org/10.5194/acp-17-13849-2017.
     
  4. Ahlgrimm, M. and R. M. Forbes, 2017: “Regime dependence of ice cloud heterogeneity - a convective life cycle effect?”, Q. J. Roy. Meteorol. Soc., 143, 3259-3268, https://doi.org/10.1002/qj.3178.
     
  5. Alkasem, A., F. Szczap, C. Cornet, V. Shcherbakov, Y. Gour, O. Jourdan, L. C. Labonnote and G. Mioche, 2017: “Effects of cirrus heterogeneity on lidar CALIOP/CALIPSO data”, JQSRT, 202, 38-49, https://doi.org/10.1016/j.jqsrt.2017.07.005.
     
  6. Amiri-Farahani, A., R. J. Allen, D. Neubauer and U. Lohmann, 2017: “Impact of Saharan dust on North Atlantic marine stratocumulus clouds: importance of the semidirect effect”, Atmos. Chem. Phys., 17, 6305-6322, https://doi.org/10.5194/acp-17-6305-2017.
     
  7. Anand, N., S. K. Satheesh and K. K. Moorthy, 2017: “Dependence of atmospheric refractive index structure parameter on the residence time and vertical distribution of aerosols”, 42, 2714-2717, https://doi.org/10.1364/OL.42.002714.
     
  8. Avery, M. A., S. M. Davis, K. H. Rosenlof, H. Ye and A. E. Dessler, 2017: “Large anomalies in lower stratospheric water vapour and ice during the 2015-2016 El Niño”, Nat. Geosci., 10, 405-409, https://doi.org/10.1038/NGEO2961.
     
  9. Bali, K., A. K. Mishra and S. Singh, 2017: “Impact of anomalous forest fire on aerosol radiative forcing and snow cover over Himalayan region”, Atmos. Environ., 150, 264-275, https://doi.org/10.1016/j.atmosenv.2016.11.061.
     
  10. Baltaci, H., 2017: “Spatial and Temporal Variation of the Extreme Saharan Dust Event over Turkey in March 2016”, Atmosphere, 8, 41, https://doi.org/10.3390/atmos8020041.
     
  11. Barragan, R. and 32 coauthors, 2017: “Spatio-temporal monitoring by ground-based and air- and space-borne lidars of a moderate Saharan dust event affecting southern Europe in June 2013 in the framework of the ADRIMED/ChArMEx campaign”, Air Qual. Atmos. Health, 10, 261-285, https://doi.org/10.1007/s11869-016-0447-7.
     
  12. Baylon, P., D. A. Jaffe, J. de Gouw and C. Warneke, 2017: “Influence of Long-Range Transport of Siberian Biomass Burning at the Mt. Bachelor Observatory during the Spring of 2015”, Aerosol and Air Quality Research, 11, 2751-2761, https://doi.org/10.4209/aaqr.2017.06.0213.
     
  13. Bègue, N., D. Vignelles, G. Berthet, T. Portafaix, G. Payen, F. Jégou, H. Benchérif, J. Jumelet, J.-P. Vernier, T. Lurton, J.-B. Renard, L. Clarisse, V. Duverger, F. Posny, J.-M. Metzger and S. Godin-Beekmann, 2017: “Long-range transport of stratospheric aerosols in Southern Hemisphere following the 2015 Calbuco eruption”, Atmos. Chem. Phys., 17, 15019-15036, https://doi.org/10.5194/acp-17-15019-2017.
     
  14. Behrenfeld, M. J., Y. Hu, R. T. O’Malley, E. S. Boss, C. A. Hostetler, D. A. Siegel, J. L. Sarmiento, J. Schulien, J. W. Hair, X. Lu, S. Rodier and A. J. Scarino, 2017: “Annual boom-bust cycles of polar phytoplankton biomass revealed by space-based lidar”, Nat. Geosci., 10, 118-122, https://doi.org/10.1038/ngeo2861.
     
  15. Benas, N., S. Finkensieper, M. Stengel, G.-J. van Zadelhoff, T. Hanschmann, R. Hollmann and J. F. Meirink, 2017: “The MSG-SEVIRI based cloud property data record CLAAS-2”, Earth Syst. Sci. Data, 9, 415-434, https://doi.org/10.5194/essd-9-415-2017.
     
  16. Bibi, S., 2017: “Monitoring and Measurement of Absorbing Aerosol and its Climatic Implications in Karachi, Pakistan”, Ph.D. Thesis, Department of Physics, University of Peshawar, 109 pp. [see http://prr.hec.gov.pk/jspui/handle/123456789/9526].
     
  17. Bibi, S., K. Alam, F. Chishtie and H. Bibi, 2017: “Characterization of absorbing aerosol types using ground and satellites based observations over an urban environment”, Atmos. Environ., 150, 126-135, https://doi.org/10.1016/j.atmosenv.2016.11.052.
     
  18. Bingen, C., C. E. Robert, K. Stebel, C. Brühl, J. Schallock, F. Vanhellemont, N. Mateshvili, M. Höpfner, T. Trickl, J. E. Barnes, J. Jumelet, J.-P. Vernier, T. Popp, G. de Leeuw and S. Pinnock, 2017: “Stratospheric aerosol data records for the climate change initiative: Development, validation and application to chemistry-climate modelling”, Remote Sens. Environ., 203, 296-321, https://doi.org/10.1016/j.rse.2017.06.002.
     
  19. Biondi, R., A. K. Steiner, G. Kirchengast, H. Brenot and T. Rieckh, 2017: “Supporting the detection and monitoring of volcanic clouds: a promising new application of Global Navigation Satellite System radio occultation”, Adv. Space Res., 60, 2707-2722, https://doi.org/10.1016/j.asr.2017.06.039.
     
  20. Bou Karam Francis, D., C. Flamant, J.-P. Chaboureau, J. Banks, J. Cuesta, H. Brindley and L. Oolman, 2017: “Dust emission and transport over Iraq associated with the summer Shamal winds”, Aeolian Research, 24, 15-31, https://doi.org/10.1016/j.aeolia.2016.11.001.
     
  21. Bourgeois, E., 2017: “Les nuages de mi-niveau en Afrique de l’Ouest: observation, caractérisation, modélisation”, Ph.D. Thesis, L’Université de Toulouse, 277 pp. [see http://oatao.univ-toulouse.fr/19450/].
     
  22. Buchard, V., C. A. Randles, A. M. da Silva, A. Darmenov, P. R. Colarco, R. Govindaraju, R. Ferrare, J. Hair, A. J. Beyersdorf, L. D. Ziembae and H. Yu, 2017: “The MERRA-2 Aerosol Reanalysis, 1980 Onward. Part II: Evaluation and Case Studies”, J. Climate, 30, 6851-6872, https://doi.org/10.1175/JCLI-D-16-0613.1.
     
  23. Buehl, J., S. Alexander, S. Crewell, A. Heymsfield, H. Kalesse, A. Khain, M. Maahn, K. Van-Tricht, and M. Wendisch, 2017: “Ice Formation and Evolution in Clouds and Precipitation: Measurement and Modeling Challenges - Chapter 10: Remote Sensing”, Meteor. Mon., 58, https://doi.org/10.1175/AMSMONOGRAPHS-D-16-0015.1.
     
  24. Cai, H., Y. Fu, Q. Chen, X. Feng, X. Tie, R. Tao and K. Xu, 2017: “The optical properties of a cirrus transition zone over China detected by CALIOP”, J. Meteor. Res., 31, 576-585, https://doi.org/10.1007/s13351-017-6044-3.
     
  25. Cai, H., X. Feng, Q. Chen, Y. Sun, Z. Wu and X. Tie, 2017: “Spatial and temporal features of the frequency of cloud occurrence over China based on CALIOP”, Advances in Meteorologoy, 2017, 4548357, https://doi.org/10.1155/2017/4548357.
     
  26. Cesana, G. and T. Storelvmo, 2017: “Improving Climate Projections by Understanding How Cloud Phase affects Radiation”, J. Geophys. Res. Atmos., 122, 4594-4599, https://doi.org/10.1002/2017JD026927.
     
  27. Chakraborty, R., S. Talukdar, U. Saha, S. Jana and A. Maitra, 2017: “Anomalies in relative humidity profile in the boundary layer during convective rain”, Atmos. Res., 191, 74-83¸ https://doi.org/10.1016/j.atmosres.2017.03.011.
     
  28. Chang, I. and S. A. Christopher, 2017: “The impact of seasonalities on direct radiative effects and radiative heating rates of absorbing aerosols above clouds”, Q. J. Roy. Meteorol. Soc., 143, 1395-1405, https://doi.org/10.1002/qj.3012.
     
  29. Chang, K.-W., T. S. L’Ecuyer, B. H. Kahn and V. Natraj, 2017: “Information content of visible and midinfrared radiances for retrieving tropical ice cloud properties”, J. Geophys. Res. Atmos., 122, 4944-4966, https://doi.org/10.1002/2016JD026357.
     
  30. Chazette, P. and P. Royer, 2017: “Springtime major pollution events by aerosol over Paris Area: from a case study to a multi-annual analysis”, J. Geophys. Res. Atmos., 122, 8101-8119, https://doi.org/10.1002/2017JD026713.
     
  31. Chazette, P., J. Totems and X. Shang, 2017: “Atmospheric aerosol variability above the Paris Area during the 2015 heat wave - Comparison with the 2003 and 2006 heat waves”, Atmos. Environ., 170, 216-233, https://doi.org/10.1016/j.atmosenv.2017.09.055.
     
  32. Chen, D., Z. Liu, C. Davis and Y. Gu, 2017: “Dust Radiative Effects on Atmospheric Thermodynamics and Tropical Cyclogenesis over the Atlantic Ocean Using WRF/Chem Coupled with an AOD Data Assimilation System”, Atmos. Chem. Phys., 17, 7917-7939, https://doi.org/10.5194/acp-17-7917-2017.
     
  33. Chen, S., J. Huang, L. Kang, H. Wang, X. Ma, Y. He, T. Yuan, B. Yang, Z. Huang and G. Zhang, 2017: “Emission, transport, and radiative effects of mineral dust from the Taklimakan and Gobi deserts: comparison of measurements and model results”, Atmos. Chem. Phys., 17, 2401-2421, https://doi.org/10.5194/acp-17-2401-2017.
     
  34. Chen, S. Y., J. P. Huang, Y. Qian, C. Zhao, L. Kang, B. Yang, Y. Wang, Y. Liu, T. Yuan, T. Wang, X. Ma and G. Zhang, 2017: “An overview of mineral dust modeling over East Asia”, J. Meteor. Res., 31, 633-653, https://doi.org/10.1007/s13351-017-6142-2.
     
  35. Chimot, J., J. P. Veefkind, T., Vlemmix, J. F. de Haan, V. Amiridis, E. Proestakis, E. Marinou and P. F. Levelt, 2017: “An exploratory study on the aerosol height retrieval from OMI measurements of the 477 nm O2-O2 spectral band using a neural network approach”, Atmos. Meas. Tech., 10, 783-809, https://doi.org/10.5194/amt-10-783-2017.
     
  36. Choi, Y.-S., W. M. Kim, S.-W. Yeh, H. Masunaga, M.-J. Kwon, H.-S. Jo and L. Huang, 2017: “Revisiting the Iris Effect of Tropical Cirrus Clouds with TRMM and A-train Satellite Data”, J. Geophys. Res. Atmos., 122, 5917-5931, https://doi.org/10.1002/2016JD025827.
     
  37. Chung, C.-Y., P. N. Francis, R. W. Saunders and J. Kim, 2017: “Comparison of SEVIRI-Derived Cloud Occurrence Frequency and Cloud-Top Height with A-Train Data”, Remote Sens., 9, 24, https://doi.org/10.3390/rs9010024.
     
  38. Córdoba-Jabonero, C., F. J. S. Lopes, E. Landulfo, E. Cuevas, H. Ochoa and M. Gil-Ojeda, 2017: “Diversity on subtropical and polar cirrus clouds properties as derived from both ground-based lidars and CALIPSO/CALIOP measurements”, Atmos. Res., 183, 151-165, https://doi.org/10.1016/j.atmosres.2016.08.015.
     
  39. Das, S., R. B. Golhait and K. N. Uma, 2017: “Clouds vertical properties over the northern hemisphere monsoon regions from CloudSat-CALIPSO measurements”, Atmos. Res., 183, 73-83, https://doi.org/10.1016/j.atmosres.2016.08.011.
     
  40. Das, S., H. Harshvardhan, H. Bian, M. Chin, G. Curci, A. P. Protonotariou, T. Mielonen, K. Zhang, H. Wang and X. Liu, 2017: “Biomass Burning Aerosol Transport and Vertical Distribution over the South African-Atlantic Region”, J. Geophys. Res. Atmos., 122, 6391-6415, https://doi.org/10.1002/2016JD026421.
     
  41. Deaconu, L. T., F. Waquet, D. Josset, N. Ferlay, F. Peers, F. Thieuleux, F. Ducos, N. Pascal, D. Tanré and P. Goloub, 2017: “Consistency of aerosols above clouds characterisation from A-Train active and passive measurements”, Atmos. Meas. Tech., 10, 3499-3523, https://doi.org/10.5194/amt-10-3499-2017.
     
  42. de Laat, A., E. Defer, J. Delanoë, F. Dezitter, A. Gounou, A. Grandin, A. Guignard, J. F. Meirink, J.-M. Moisselin and F. Parol, 2017: “Analysis of geostationary satellite derived cloud parameters associated with high ice water content environments”, Atmos. Meas. Tech., 10, 1359-1371, https://doi.org/10.5194/amt-10-1359-2017.
     
  43. Desmons, M., N. Ferlay, F. Parol, J. Riédi, and F. Thieuleux, 2017: “A global multilayer cloud identification with POLDER/PARASOL”, J. Appl. Meteor. Climatol., 56, 1121-1139, https://doi.org/10.1175/JAMC-D-16-0159.1.
     
  44. Diallo, M., F. Ploeger, P. Konopka, T. Birner, R. Müller, M. Riese, H. Garny, B. Legras, E. Ray, G. Berthet and F. Jegou, 2017: “Significant contributions of volcanic aerosols to decadal changes in the stratospheric circulation”, Geophys. Res. Lett., 44, 10,780-10,791, https://doi.org/10.1002/2017GL074662.
     
  45. Dieudonné, E., P. Chazette, F. Marnas, J. Totems and X. Shang, 2017: “Raman Lidar Observations of Aerosol Optical Properties in 11 Cities from France to Siberia”, Remote Sens., 9, 978, https://doi.org/10.3390/rs9100978.
     
  46. Ding, Y., 2017: “Satellite-based Cloud Remote Sensing: Fast Radiative Transfer Modeling and Inter-Comparison of Single-/Multi-Layer Cloud Retrievals with VIIRS”, Ph.D. Thesis, Department of Atmospheric Sciences, Texas A&M University, 104 pp. [see http://hdl.handle.net/1969.1/165868].
     
  47. Domingos, J., D. Jault, M. A. Pais and M. Mandea, 2017: “The South Atlantic Anomaly throughout the solar cycle”, Earth Planet. Sc. Lett., 473, 154-163, https://doi.org/10.1016/j.epsl.2017.06.004.
     
  48. Dong, Z., S. Kang, J. Guo, Q. Zhang, X. Wang and D. Qin, 2017: “Composition and mixing states of brown haze particle over the Himalayas along two transboundary south-north transects”, Atmos. Environ., 156, 24-35, https://doi.org/10.1016/j.atmosenv.2017.02.029.
     
  49. Dörnbrack, A., S. Gisinger, M. C. Pitts, L. R. Poole and M. Maturilli, 2017: “Multilevel Cloud Structures over Svalbard”, Mon. Wea. Rev., 145, 1149-1159, https://doi.org/10.1175/MWR-D-16-0214.1.
     
  50. Duan, Y. and A. P. Barros, 2017: “Understanding How Low-Level Clouds and Fog Modify the Diurnal Cycle of Orographic Precipitation Using In Situ and Satellite Observations”, Remote Sens., 9, 920, https://doi.org/10.3390/rs9090920.
     
  51. El-Askary, H., N. LaHaye, E. Linstead, W. A. Sprigg and M. Yacoub, 2017: “Remote sensing observation of annual dust cycles and possible causality of Kawasaki disease outbreaks in Japan”, Global Cardiology Science and Practice, 22, https://doi.org/10.21542/gcsp.2017.22.
     
  52. Esch, A.-K., 2017: “Detection of Cirrus Clouds in the Upper Troposphere and Lower Stratosphere Region with the Satellite Instrument CALIOP”, M.S. Thesis, Institute of Applied Geosciences, Darmstadt University of Technology, 101 pp.
     
  53. Escribano, J., 2017: “Inversion régionale des sources de poussières désertiques”, Ph.D. Thesis, Department of Environmental Engineering, Université Pierre et Marie Curie - Paris, 163 pp. [see https://tel.archives-ouvertes.fr/tel-01585908/].
     
  54. Fadnavis, S. G. Kalita, K. R. Kumar, B. Gasparini, and J.-L. F. Li, 2017: “Potential impact of carbonaceous aerosol on the upper troposphere and lower stratosphere (UTLS) and precipitation during Asian summer monsoon in a global model simulation”, Atmos. Chem. Phys., 17, 11637-11654, https://doi.org/10.5194/acp-17-11637-2017.
     
  55. Fatima, H., J. P. George, E. N. Rajagopal and S. Basu, 2017: “Seasonal Verification of Dust Forecast over the Indian Region”, Pure and Applied Geophysics, 174, 4225-4240, https://doi.org/10.1007/s00024-017-1629-4.
     
  56. Franch, B., E. F. Vermote, J.-C. Roger, E. Murphy, I. Becker-Reshef, C. Justice, M. Claverie, J. Nagol, I. Csiszar, D. Meyer, F. Baret, E. Masuoka, R. Wolfe and S. Devadiga, 2017: “A 30+ Year AVHRR Land Surface Reflectance Climate Data Record and Its Application to Wheat Yield Monitoring”, Remote Sensing, 9, 296, https://doi.org/10.3390/rs9030296.
     
  57. Fu, Y., Y. Chen, R. Li, F. Qin, T. Xian, L. Yu, A. Zhang, G. Liu and X. Zhang, 2017: “Lateral Boundary of Cirrus Cloud from CALIPSO Observations”, Scientific Reports, 7, 14221, https://doi.org/10.1038/s41598-017-14665-6.
     
  58. Fuchs J., J. Cermak, H. Andersen, R. Hollmann, and K. Schwarz, 2017: “On the Influence of Air-Mass Origin on Low-Cloud Properties in the South-East Atlantic”, J. Geophys. Res., 122, 11,076-11,091, https://doi.org/10.1002/2017JD027184.
     
  59. Garnier, A., N. A. Scott, J. Pelon, R. Armante, L. Crépeau, B. Six and N. Pascal, 2017: “Long term assessment of the CALIPSO Imaging Infrared Radiometer (IIR) calibration and stability through comparisons with MODIS/Aqua and SEVIRI/Meteosat”, Atmos. Meas. Tech., 10, 1403-1424, https://doi.org/10.5194/amt-10-1403-2017.
     
  60. Gao, M., P. E. Saide, J. Xin, Y. Wang, Z. Liu, Y. Wang, Z. Wang, M. Pagowski, S. K. Guttikunda and G. R. Carmichael, 2017: “Estimates of Health Impacts and Radiative Forcing in Winter Haze in Eastern China through Constraints of Surface PM2.5 Predictions”, Environ. Sci. Technol., 51, 2178-2185, https://doi.org/10.1021/acs.est.6b03745.
     
  61. Gasch, P., D. Rieger, C. Walter, P. Khain, Y. Levi, P. Knippertz and B. Vogel, 2017: “Revealing the meteorological drivers of the September 2015 severe dust event in the Eastern Mediterranean”, Atmos. Chem. Phys., 17, 13573-13604, https://doi.org/10.5194/acp-17-13573-2017.
     
  62. Gasteiger, J., S. Groß, B. Weinzierl, D. Sauer and V. Freudenthaler, 2016: “Particle settling and convective mixing in the Saharan Air Layer as seen from an integrated model, lidar, and in-situ perspective”, Atmos. Chem. Phys., 17, 297-311, https://doi.org/10.5194/acp-17-297-2017.
     
  63. Ge, C., J. Wang, J. S. Reid, D. Posselt, P. Xian and E. Hyer, 2017: “Mesoscale modelling of smoke transport from equatorial Southeast Asian Maritime Continent to the Philippines: first comparison of ensemble analysis with in situ observations”, J. Geophys. Res. Atmos., 122, 5380-5398, https://doi.org/10.1002/2016JD026241.
     
  64. Geisinger, A., A. Behrendt, V. Wulfmeyer, J. Strohbach, J. Förstner, and R. Potthast, 2017: “Development and application of a backscatter lidar forward operator for quantitative validation of aerosol dispersion models and future data assimilation”, Atmos. Meas. Tech., 10, 4705-4726, https://doi.org/10.5194/amt-10-4705-2017.
     
  65. Gharibzadeh, M., K. Alam, A. A. Bidokhti, Y. Abedini and A. Masoumi, 2017: “Radiative Effects and Optical Properties of Aerosol during Two Dust Events in 2013 over Zanjan, Iran”, Aerosol and Air Quality Research, 17, 888-898, https://doi.org/10.4209/aaqr.2016.04.0161.
     
  66. Gimmestad, G., H. Forrister, T. Grigas and C. O’Dowd, 2017: “Comparisons of aerosol backscatter using satellite and ground lidars: implications for calibrating and validating spaceborne lidar”, Scientific Reports, 7, 42337, https://doi.org/10.1038/srep42337.
     
  67. Gong, W., Y. Huang, T. Zhang, Z. Zhu, Y. Ji and H. Xiang, 2017: “Impact and Suggestion of Column-to-Surface Vertical Correction Scheme on the Relationship between Satellite AOD and Ground-Level PM2.5 in China”, Remote Sens., 9, 1038, https://doi.org/10.3390/rs9101038.
     
  68. Govardhan, G., S. K. Satheesh, R. Nanjundiah, K. K. Moorthy and S. S. Babu, 2017: “Possible climatic implications of high altitude emissions of black carbon”, Atmos. Chem. Phys., 17, 9623-9644, https://doi.org/10.5194/acp-17-9623-2017.
     
  69. Grigas, T., 2017: “Remote Sensing and In-Situ Characterisation of Atmospheric Aerosol Pollution”, Ph.D. Thesis, National University of Ireland Galway, School of Physics, 160 pp. [see http://hdl.handle.net/10379/6497].
     
  70. Guo, J., M. Lou, Y. Miao, Y. Wang, Z. Zeng, H. Liu, J. He, H. Xu, F. W., M. Min and P. Zhai, 2017: “Trans-Pacific transport of dust aerosols from East Asia: Insights gained from multiple observations and modeling”, Environ. Pollut., 230, 1030-1039, https://doi.org/10.1016/j.envpol.2017.07.062.
     
  71. Gupta, A. K., K. Rajeev and S. Sijikumar, 2017: “Day-night changes in the altitude distribution, physical properties and radiative impact of low-altitude clouds over the stratocumulus-dominated subtropical oceans”, J. Atmos. Sol.-Terr. Phy., 116, 118-126, https://doi.org/10.1016/j.jastp.2017.06.021.
     
  72. Guzman, R., H. Chepfer, V. Noel, T. V. de Guélis, J. E. Kay, P. Raberanto, G. Cesana, M. A. Vaughan and D. M. Winker, 2017: “Direct atmosphere opacity observations from CALIPSO provide new constraints on cloud-radiation interactions”, J. Geophys. Res. Atmos., 122, 1066-1085, https://doi.org/10.1002/2016JD025946.
     
  73. Haarig, H., A. Ansmann, D. Althausen, A. Klepel, S. Groß, V. Freudenthaler, C. Toledano, R.-E. Mamouri, D. A. Farrell, D. A. Prescod, E. Marinou, S. P. Burton, J. Gasteiger, R. Engelmann and H. Baars, 2017: “Triple-wavelength depolarization-ratio profiling of Saharan dust over Barbados during SALTRACE in 2013 and 2014”, Atmos. Chem. Phys., 17, 10767-10794, https://doi.org/10.5194/acp-17-10767-2017.
     
  74. Ham S.-H., S. Kato, F. G. Rose, D. Winker, T. L’Ecuyer, G. G. Mace, D. Painemal, S. Sun-Mack, Y. Chen and W. F. Miller, 2017: “Cloud Occurrences and Cloud Radiative Effects (CREs) from CERES-CALIPSO-CloudSat-MODIS (CCCM) and CloudSat Radar-Lidar (RL) Products”, J. Geophys. Res. Atmos., 122, 8852-8884, https://doi.org/10.1002/2017JD026725.
     
  75. Ham, S.-H., S. Kato and F. G. Rose, 2017: “Examining Impacts of Mass-Diameter (m-D) and Area-Diameter (A-D) Relationships of Ice Particles on Retrievals of Effective Radius and Ice Water Content from Radar and Lidar Measurements”, J. Geophys. Res. Atmos., 122, 3396-3420, https://doi.org/10.1002/2016JD025672.
     
  76. Han, B., H. Ding, Y. Ma and W. Gong, 2017: “Improving Retrieval Accuracy for Aerosol Optical Depth by Fusion of MODIS and CALIOP Data”, Tehnički vjesnik (Technical Gazette), 24, 791-800, https://doi.org/10.17559/TV-20160429044233.
     
  77. Hartmann, D. L. and S. E. Berry, 2017: “The Balanced Radiative Effect of Tropical Anvil Clouds”, J. Geophys. Res. Atmos., 122, 5003-5020, https://doi.org/10.1002/2017JD026460.
     
  78. Hazra, A., H. S. Chaudhari, S. K. Saha and S. Pokhrel, 2017: “Effect of cloud microphysics on Indian summer monsoon precipitating clouds: A coupled climate modeling study”, J. Geophys. Res. Atmos., 122, 3786-3805, https://doi.org/10.1002/2016JD026106.
     
  79. Hazra, A., H. S. Chaudhari, S. K. Saha, S. Pokhrel, S. and B. N. Goswami, 2017: “Progress towards achieving the challenge of Indian summer monsoon climate simulation in a coupled ocean-atmosphere model”, JAMES, 9, 2268-2290, https://doi.org/10.1002/2017MS000966.
     
  80. Heinze, R. and 60 coauthors, 2017: “Large-eddy simulations over Germany using ICON: a comprehensive evaluation”, Q. J. Roy. Meteorol. Soc., 143, 69-100, https://doi.org/10.1002/qj.2947.
     
  81. Heymsfield, A., M. Krämer, A. Luebke, P. Brown, D. Cziczo, C. Franklin, P. Lawson, U. Lohmann, G. McFarquhar, Z. Ulanowski and K. Van Tricht, 2017: “Ice Formation and Evolution in Clouds and Precipitation: Measurement and Modeling Challenges - Chapter 2: Cirrus Clouds”, Meteor. Mon., 58, https://doi.org/10.1175/AMSMONOGRAPHS-D-16-0010.1.
     
  82. Heymsfield, A., M. Krämer, N. B. Wood, A. Gettelman, P. R. Field and G. Liu, 2017: “Dependence of the Ice Water Content and Snowfall Rate on Temperature, Globally: Comparison of in Situ Observations, Satellite Active Remote Sensing Retrievals, and Global Climate Model Simulations”, J. Appl. Meteor. Climatol., 56, 189-215, https://doi.org/10.1175/JAMC-D-16-0230.1.
     
  83. Hillman B. R., R. T. Marchand, T. P. Ackerman, G. Mace and S. Benson, 2017: “Assessing the accuracy of MISR and MISR-simulated cloud top heights using CloudSat and CALIPSO-retrieved hydrometeor profiles”, J. Geophys. Res. Atmos., 122, 2878-2897, https://doi.org/10.1002/2016JD025510.
     
  84. Hoffmann, L., R. Spang, A. Orr, M. J. Alexander, L. A. Holt and O. Stein, 2017: “A decadal satellite record of gravity wave activity in the lower stratosphere to study polar stratospheric cloud formation”, Atmos. Chem. Phys., 17, 2901-2920, https://doi.org/10.5194/acp-17-2901-2017.
     
  85. Huang, J., Y. Li, C. Fu, F. Chen, Q. Fu, A. Dai, M. Shinoda, Z. Ma, W. Guo, Z. Li, L. Zhang, Y. Liu, H. Yu, Y. He, Y. Xie, X. Guan, M. Ji, L. Lin, S. Wang, H. Yan and G. Wang, 2017: “Dryland Climate Change: Recent Progress and Challenges”, Rev. Geophys., 55, 719-778, https://doi.org/10.1002/2016RG000550.
     
  86. Huang, Y., T. Chubb, D. Baumgardner, M. DeHoog, S. T. Siems and M. J. Manton, 2017: “Evidence for secondary ice production in Southern Ocean open cellular convection”, Q. J. Roy. Meteorol. Soc., 143, 1685-1703, https://doi.org/10.1002/qj.3041.
     
  87. Huang, Y., X. Dong, B. Xi, E. K. Dolinar, R. E. Stanfield and S. Qiu, 2017: “Quantifying the Uncertainties of Reanalyzed Arctic Cloud and Radiation Properties using Satellite-surface Observations”, J. Climate, 30, 8007-8029, https://doi.org/10.1175/JCLI-D-16-0722.1.
     
  88. Hüneke, T., 2017: “The scaling method applied to HALO measurements: Inferring absolute trace gas concentrations from airborne limb spectroscopy under all sky conditions”, Ph.D. Thesis, Faculty of Physics and Astronomy, Institute of Environmental Physics, Ruperto-Carola University, https://doi.org/10.11588/heidok.00022573, 182 pp. [see http://www.ub.uni-heidelberg.de/archiv/22573].
     
  89. Janicka, L., I. S. Stachlewska, I. Veselovskii and H. Baars, 2017: “Temporal variations in optical and microphysical properties of mineral dust and biomass burning aerosol derived from daytime Raman lidar observations over Warsaw, Poland”, Atmos. Environ., 169, 162-174, https://doi.org/10.1016/j.atmosenv.2017.09.022.
     
  90. Jiang J. H., Q. Yue, H. Su, S. C. Reising, P. P. Kangaslahti, W. R. Deal, E. T. Schlecht, L. Wu and K. F. Evans, 2017: “A Simulation of Ice Cloud Particle Size, Humidity and Temperature Measurements from the TWICE CubeSat”, Earth and Space Science, 4, 574-587, https://doi.org/10.1002/2017EA000296.
     
  91. Jiang, M., J. Feng, Z. Li, R. Sun, Y.-T. Hou, Y. Zhu, B. Wan, J. Guo, and M. Cribb, 2017: “Potential influences of neglecting aerosol effects on the NCEP GFS precipitation forecast”, Atmos. Chem. Phys., 17, 13967-13982, https://https://doi.org/10.5194/acp-17-13967-2017.
     
  92. Jing, Y., P. Zhang, L. Chen and N. Xu, 2017: “Integrated Analysis of Dust Transport and Budget in a Severe Asian Dust Event”, Aerosol Air. Qual. Res., 17, 2390-2400, https://doi.org/10.4209/aaqr.2017.05.0170.
     
  93. Johansson E., A. Devasthale, M. Tjernström, A. M. L. Ekman and T. L’Ecuyer, 2017: “Response of the lower troposphere to moisture intrusions into the Arctic”, Geophys. Res. Lett., 44, 2527-2536, https://doi.org/10.1002/2017GL072687.
     
  94. Jose, S., B. Gharai and P. V. N. Rao, 2017: “Cross-Sectional View of Atmospheric Aerosols over an Urban Location in Central India”, Aerosol and Air Quality Research, 17, 761-775, https://doi.org/10.4209/aaqr.2016.04.0154.
     
  95. Jury, M., 2017: “Statistics and meteorology of air pollution episodes over the South African Highveld based on satellite-model datasets”, J. Appl. Meteor. Climatol., 56, 1583-1594, https://doi.org/10.1175/JAMC-D-16-0354.1.
     
  96. Jury, M. R., 2017: “Caribbean Air Chemistry and Dispersion Conditions”, Atmosphere, 8, 151, https://doi.org/10.3390/atmos8080151.
     
  97. Kalluri, R. O. R., B. Gugamsetty, R. G. Kotalo, S. K. R. Nagireddy, C. R. Tandule, L. R. Thotli, N. H. Shaik, V. R. Maraka, R. R. Rajuru and S. B. S. Nair, 2017: “Seasonal variation of near surface black carbon and satellite derived vertical distribution of aerosols over a semi-arid station in India”, Atmos. Res., 184, 77-87, https://doi.org/10.1016/j.atmosres.2016.09.003.
     
  98. Kangueehi, K. I., 2017: ”Aerosol Trace Metal Concentration and Dissolution Characteristics from Known Dust Emitters in Southern Africa”, M.S. Thesis, Department of Earth Sciences, Stellenbosch University, 139 pp. [see http://hdl.handle.net/10019.1/102728].
     
  99. Karlsson, K.-G., K. Anttila, J. Trentmann, M. Stengel, J. F. Meirink, A. Devasthale, T. Hanschmann, S. Kothe, E. Jääskeläinen, J. Sedlar, N. Benas, G.-J. van Zadelhoff, C. Schlundt, D. Stein, S. Finkensieper, N. Håkansson and R. Hollmann, 2017: “CLARA-A2: the second edition of the CM SAF cloud and radiation data record from 34 years of global AVHRR data”, Atmos. Chem. Phys., 17, 5809-5828, https://doi.org/10.5194/acp-17-5809-2017.
     
  100. Kassianov, E., M. Pekour, C. Flynn, L. K. Berg, J. Beranek, A. Zelenyuk, C. Zhao, L. R. Leung, P. L. Ma, L. Riihimaki, J. D. Fast, J. Barnard, A. G. Hallar, I. B. McCubbin, E. W. Eloranta, A. McComiskey and P. J. Rasch, 2017: “Large Contribution of Coarse Mode to Aerosol Microphysical and Optical Properties: Evidence from Ground-based Observations of a Trans-Pacific Dust Outbreak at a High-Elevation North American Site”, J. Atmos. Sci., 74, 1431-1443, https://doi.org/10.1175/JAS-D-16-0256.1.
     
  101. Khaykin, S. M., S. Godin-Beekmann, P. Keckhut, A. Hauchecorne, J. Jumelet, J.-P. Vernier, A. Bourassa, D. A. Degenstein, L. A. Reiger, C. Bingen, F. Vanhellemont, C. Robert, M. DeLand and P. K. Bhartia, 2017: “Variability and evolution of mid-latitude stratospheric aerosol budget from 22 years of ground-based lidar and satellite observations”, Atmos. Chem. Phys., 17, 1829-1845, https://doi.org/10.5194/acp-17-1829-2017.
     
  102. Kikuchi M., H. Okamoto, K Sato, K. Suzuki, G. Cesana, Y. Hagihara, N. Takahashi, T. Hayasaka and R. Oki, 2017: “Development of Algorithm for Discriminating Hydrometeor Particle Types with a Synergistic Use of CloudSat and CALIPSO”, J. Geophys. Res. Atmos., 122, 11,022-11,044, https://doi.org/10.1002/2017JD027113.
     
  103. Kim, J., D. E. Waliser, G. V. Cesana, X. Jiang, T. L’Ecuyer and J. M. Neena, 2017: “Cloud and radiative heating profiles associated with the boreal summer intraseasonal oscillation”, Clim. Dynam., https://doi.org/10.1007/s00382-017-3700-3.
     
  104. Kim, H.-W., J.-M, Yeom, D. Shin, S. Choi, K.-S. Han and J.-L. Roujean, 2017: “An assessment of thin cloud detection by applying bidirectional reflectance distribution function model-based background surface reflectance using Geostationary Ocean Color Imager (GOCI): a case study for South Korea”, J. Geophys. Res. Atmos., 122, 8153-8172, https://doi.org/10.1002/2017JD026707.
     
  105. Kim, M.-H., A. H. Omar, M. A. Vaughan, D. M. Winker, C. R. Trepte, Y. Hu, Z. Liu and S.-W. Kim, 2017: “Quantifying the low bias of CALIPSO’s column aerosol optical depth due to undetected aerosol layers”, J. Geophys. Res. Atmos., 122, 1098-1113, https://doi.org/10.1002/2016JD025797.
     
  106. Kipling, Z., P. Stier, L. Labbouz and T. Wagner, 2017: “Dynamic subgrid heterogeneity of convective cloud in a global model: description and evaluation of the Convective Cloud Field Model (CCFM) in ECHAM6-HAM2”, Atmos. Chem. Phys., 17, 327-342, https://doi.org/10.5194/acp-17-327-2017.
     
  107. Kodera, K., N. Eguchi, H. Mukougawa, T. Nasuno and T. Hirooka, 2017: “Stratospheric tropical warming event and its impact on the polar and tropical troposphere”, Atmos. Chem. Phys., 17, 615-625, https://doi.org/10.5194/acp-17-615-2017.
     
  108. Korolev, A., G. McFarquhar, P. R. Field, C. Franklin, P. Lawson, Z. Wang, E. Williams, S. J. Abel, D. Axisa, S. Borrmann, J. Crosier, J. Fugal, M. Krämer, U. Lohmann, O. Schlenczek, M. Schnaiter and M. Wendisch, 2017: “Mixed-Phase Clouds: Progress and Challenges”, Meteor. Mon., 58, 5.1-5.50, https://doi.org/10.1175/AMSMONOGRAPHS-D-17-0001.1.
     
  109. Kosmopoulos, P. G., S. Kazadzis, M. Taylor, E. Athanasopoulou, O. Speyer, P. I. Raptis, E. Marinou, E. Proestakis, S. Solomos, E. Gerasopoulos, V. Amiridis, A. Bais and C. Kontoes, 2017: “Dust impact on surface solar irradiance assessed with model simulations, satellite observations and ground-based measurements”, Atmos. Meas. Tech., 10, 2435-2453, https://doi.org/10.5194/amt-10-2435-2017.
     
  110. Kostornaya, A. A., E. I. Saprykin, M. G. Zakhvatov and Y. V. Tokareva, 2017: “A Method of Cloud Detection from Satellite Data”, Russ. Meteorol. Hydrol., 42, 753-758, https://doi.org/10.3103/S1068373917120020.
     
  111. Kovilakam M., S. Mahajan, R Saravanan and P. Chang, 2017: “Climate impacts of CALIPSO-guided corrections to black carbon aerosol vertical distributions in a Global Climate Model”, Geophys. Res. Lett., 44, 10,549-10,559, https://doi.org/10.1002/2017GL074652.
     
  112. Kuo, C.-P., P. Yang, X. Huang, D. Feldman, M. Flanner, C. Kuo and E. J. Mlawer, 2017: “Impact of Multiple Scattering on Longwave Radiative Transfer Involving Clouds”, J. Adv. Model. Earth Syst., 9, 3082-3098, https://doi.org/10.1002/2017MS001117.
     
  113. Kumar, M., M. P. Raju, R. K. Singh, A. K. Singh, R. S. Singh and T. Banerjee, 2017: “Wintertime characteristics of aerosols over middle Indo-Gangetic Plain: Vertical profile, transport and radiative forcing”, Atmos. Res., 183, 268-282, https://doi.org/10.1016/j.atmosres.2016.09.012.
     
  114. Lacour, A., H. Chepfer, M. D. Shupe, N. B. Miller, V. Noel, J. Kay, D. D. Turner and R. Guzman, 2017: “Greenland clouds observed in CALIPSO-GOCCP: comparison with ground-based Summit observations”, J. Climate, 30, 6065-6083, https://doi.org/10.1175/JCLI-D-16-0552.1.
     
  115. Lakshmi, N. B., V. S. Nair, and S. Suresh Babu, 2017: “Vertical structure of aerosols and mineral dust over the Bay of Bengal from multi-satellite observations”, J. Geophys. Res. Atmos., 122, 12,845-12,861, https://doi.org/10.1002/2017JD027643.
     
  116. Lebsock, M. D., T. S. L’Ecuyer and R. Pincus, 2017: “An Observational View of Relationships Between Moisture Aggregation, Cloud, and Radiative Heating Profiles”, Surv. Geophys., https://doi.org/10.1007/s10712-017-9443-1.
     
  117. Lenaerts J.T.M., K. VanTricht, S. Lhermitte and T. L’Ecuyer, 2017: “Polar clouds and radiation in satellite observations, reanalyses, and climate models”, Geophys. Res. Lett., 44, 3355-3364, https://doi.org/10.1002/2016GL072242.
     
  118. Li, J., Q. Lv, M. Zhang, T. Wang, K. Kawamoto and S. Chen, 2017: “Effects of atmospheric dynamics and aerosols on the fraction of supercooled water clouds”, Atmos. Chem. Phys., 17, 1847-1863, https://doi.org/10.5194/acp-17-1847-2017.
     
  119. Li, J., W.-C. Wang, X. Dong and J. Mao, 2017: “Cloud-radiation-precipitation associations over the Asian monsoon region: an observational analysis”, Clim. Dynam., 49, 3237-3255, https://doi.org/10.1007/s00382-016-3509-5.
     
  120. Li, J. D., T. H. Wang, and A. Habib, 2017: “Observational characteristics of cloud radiative effects over three arid regions in the Northern Hemisphere”, J. Meteor. Res., 31, 654-664, https://doi.org/10.1007/s13351-017-6166-7.
     
  121. Li, J.-L. F., M. Richardson, Y. Hong, W.-L. Lee, Y.-H. Wang, J.-Y. Yu, E. Fetzer, G. Stephens and Y. Liu, 2017: “Improved simulation of Antarctic sea ice due to the radiative effects of falling snow”, Environ. Res. Lett., 12, 084010, https://doi.org/10.1088/1748-9326/aa7a17.
     
  122. Li, R., X, Dong, J. Guo, Y. Fu, C. Zhao, Y. Wang and Q. Min, 2017: “The implications of dust ice nuclei effect on cloud top temperature in a complex mesoscale convective system”, Scientific Reports, 7, 13826, https://doi.org/10.1038/s41598-017-12681-0.
     
  123. Li, Y. and M. Zhang, 2017: “The Role of Shallow Convection over the Tibetan Plateau”, J. Climate, 30, 5791-5803, https://doi.org/10.1175/JCLI-D-16-0599.1.
     
  124. Li, Y.-F. and W.-Z. Chen, 2017: “Correlation between aerosol optical depth and ocean primary productivity based on MODIS and CALIOP data”, China Environmental Science, 37, 76-86 [http://manu36.magtech.com.cn/Jweb_zghjkx/EN/abstract/abstract14932.shtml].
     
  125. Li, Z., K.-M. Xu and A. Cheng, 2017: “The response of simulated arctic mixed-phase stratocumulus to sea ice cover variability in the absence of large-scale advection”, J. Geophys. Res. Atmos., 122, 12,335-12,352, https://doi.org/10.1002/2017JD027086.
     
  126. Liang, Y., X. Sun, S. D Miller, H. Li, Y. Zhou, R. Zhang and S. Li, 2017: “Cloud base height estimation from ISCCP cloud-type classification applied to A-Train data”, Advances in Meteorology, 2017, 3231719, https://doi.org/10.1155/2017/3231719.
     
  127. Liu, Q., X. Ma, Y. Yu, Y. Qin, Y. Chen, Y. Kang, H. Zhang, T. Cheng, Y. Ling and Y. Tang, 2017: “Comparison of aerosol characteristics during haze periods over two urban agglomerations in China using CALIPSO observations”, Particuology, 33, 63-72, https://doi.org/10.1016/j.partic.2017.02.001.
     
  128. Liu, Y., G. de Leeuw, V.-M. Kerminen, J. Zhang, P. Zhou, W. Nie, X. Qi, J. Hong, Y. Wang, A. Ding, H. Guo, O. Krüger, M. Kulmala and T. Petäjä, 2017: “Analysis of aerosol effects on warm clouds over the Yangtze River Delta from multi-sensor satellite observations”, Atmos. Chem. Phys., 17, 5623-5641, https://doi.org/10.5194/acp-17-5623-2017.
     
  129. Liu, Y., M. D. Shupe, Z. Wang and G. Mace, 2017: “Cloud vertical distribution from combined surface and space radar-lidar observations at two Arctic atmospheric observatories”, Atmos. Chem. Phys., 17, 5973-5989, https://doi.org/10.5194/acp-17-5973-2017.
     
  130. Liu, Z., A. Mortier, Z. Li, W. Hou, P. Goloub, Y. Lv, X. Chen, D. Li, K. Li and Y. Xie, 2017: “Improving Daytime Planetary Boundary Layer Height Determination from CALIOP: Validation Based on Ground-Based Lidar Station”, Advances in Meteorology, 2017, 5759074, https://doi.org/10.1155/2017/5759074.
     
  131. Liu, Z. and A. Schweiger, 2017: “Synoptic conditions, clouds, and sea ice melt-onset in the Beaufort and Chukchi Seasonal Ice Zone”, J. Climate, 30, 6999-7016, https://doi.org/10.1175/JCLI-D-16-0887.1.
     
  132. Lolli, S., J. Campbell, J. Lewis, Y. Gu, J. Marquis, B. Chew, S. Liew, S. Salinas and E. Welton, 2017: “Daytime Top-of-the-Atmosphere Cirrus Cloud Radiative Forcing Properties at Singapore”, J. Appl. Meteor. Climatol., 56, 1249-1257, https://doi.org/10.1175/JAMC-D-16-0262.1.
     
  133. Lu, S., 2017: “Variational data assimilation of satellite observations to estimate volcanic ash emissions”, Ph.D. Thesis, Technical University of Delft, 123 pp., https://doi.org/10.4233/uuid:81eb2519-1125-469b-b3f4-4674ea495f65.
     
  134. Lu, X., Y. Hu, Z. Liu, S. Rodier, M. Vaughan, C. Trepte and J. Pelon, 2017: “Observations of Arctic snow and sea ice cover from CALIOP lidar measurements”, Remote Sens. Environ., 194, 248-263, https://doi.org/10.1016/j.rse.2017.03.046.
     
  135. Luo, Z. J., R. C., Anderson, W. B., Rossow and H. Takahashi, 2017: “Tropical cloud and precipitation regimes as seen from near-simultaneous TRMM, CloudSat, and CALIPSO observations and comparison with ISCCP”, J. Geophys. Res. Atmos., 122, 5988-6003, https://doi.org/10.1002/2017JD026569.
     
  136. Ma, S., W. Chen, S. Zhang, Q. Tong, Q. Bao and Z. Gao, 2017: “Characteristics and Cause Analysis of Heavy Haze in Changchun City in Northeast China”, Chinese Geogr. Sci., 27, 989-1002, https://doi.org/10.1007/s11769-017-0922-6.
     
  137. Mallet M., F. Solmon, L. Roblou, F. Peers, S. Turquety, F. Waquet, H. Jethva and O. Torres, 2017: “Simulation of optical properties, direct and indirect radiative effects of smoke aerosols over marine stratocumulus clouds during summer 2008 in California with the regional climate model RegCM”, J. Geophys. Res. Atmos., 122, 10,312-10,337, https://doi.org/10.1002/2017JD026905.
     
  138. Mamun, A. A., 2017: “Impact of Saharan Dust Aerosols on Radiation and Clouds Over the Tropical East Atlantic Ocean”, Ph.D. Thesis, Department of Physics and Astronomy, York University, 122 pp. [see http://hdl.handle.net/10315/34403].
     
  139. Marchese, F., F. Sannazzaro, A. Falconieri, C. Filizzola, N. Pergola and V. Tramutoli, 2017: “An Enhanced Satellite-Based Algorithm for Detecting and Tracking Dust Outbreaks by Means of SEVIRI Data”, Remote Sensing, 9, 537, https://doi.org/10.3390/rs9060537.
     
  140. Marinescu, P., S. van den Heever, S. Saleeby, S. Kreidenweis, and P. DeMott, 2017: “The Microphysical Roles of Lower versus Middle Tropospheric Aerosol Particles on Mature-Stage MCS Precipitation”, J. Atmos. Sci., 74, 3657-3678, https://doi.org/10.1175/JAS-D-16-0361.1.
     
  141. Marinou, E., V. Amiridis, I. Binietoglou, S. Solomos, E. Proestakis, D. Konsta, A. Tsikerdekis, N. Papagiannopoulos, G. Vlastou, P. Zanis, D. Balis, U. Wandinger and A. Ansmann, 2017: “3D evolution of Saharan dust transport towards Europe based on a 9-year EARLINET-optimized CALIPSO dataset”, Atmos. Chem. Phys., 17, 5893-5919, https://doi.org/10.5194/acp-17-5893-2017.
     
  142. Marinou, E. I., 2017: “Estimates of the vertical distribution of desert dust and condensation nuclei over the Mediterranean, with the synergistic use of active and passive remote sensing techniques”, Ph.D. Thesis, Aristotle University of Thessaloniki, [see http://hdl.handle.net/10442/hedi/42071].
     
  143. Marquis, J. W., A. S. Bogdanoff, J. R. Campbell, J. A. Cummings, D. L. Westphal, N. J. Smith and J. Zhang, 2017: “Estimating Infrared Radiometric Satellite Sea Surface Temperature Retrieval Cold Biases in the Tropics due to Unscreened Optically-Thin Cirrus Clouds”, J. Atmos. Oceanic Technol., 34, 355-373, https://doi.org/10.1175/JTECH-D-15-0226.1.
     
  144. Marter, R. E., 2017: “Passive Microwave Precipitation Detection Biases: Relationship to Cloud Properties”, M.S. Thesis, Department of Atmospheric Sciences, Texas A & M University, 70 pp. [see http://hdl.handle.net/1969.1/169552].
     
  145. Martinez, I. R., 2017: “The control mechanisms on precipitation over northern Africa during a dust outbreak”, Ph.D. Thesis, Laboratoire d'Aérologie, Université Toulouse Paul Sabatier, 142 pp. [see https://tel.archives-ouvertes.fr/tel-02016584/].
     
  146. Martinsson, B. G., J. Friberg, O. S. Sandvik, M. Hermann, P. F. J. van Velthoven, and A. Zahn, 2017: “Particulate sulfur in the upper troposphere and lowermost stratosphere - sources and climate forcing”, Atmos. Chem. Phys., 17, 10937-10953, https://doi.org/10.5194/acp-17-10937-2017.
     
  147. Matus A., and T. L’Ecuyer, 2017: “The role of cloud phase in Earth’s radiation budget”, J. Geophys. Res. Atmos., 122, 2559-2578, https://doi.org/10.1002/2016JD025951.
     
  148. Matus, A. V., 2017: “Aerosol Direct Radiative Effects and Heating in the New Era of Active Satellite Observations”, Ph.D. Thesis, Department of Atmospheric and Oceanic Sciences, University of Wisconsin, 184 pp. [see at http://sun.aos.wisc.edu/pdf/thesis_matus_phd.pdf].
     
  149. McIlhattan, E. A., T. S. L’Ecuyer and N. B. Miller, 2017: “Observational Evidence Linking Arctic Supercooled Liquid Cloud Biases in CESM to Snowfall Processes”, J. Climate, 30, 4477-4495, https://doi.org/10.1175/JCLI-D-16-0666.1.
     
  150. Mei, L., M. Vountas, L. Gómez-Chova, V. Rozanov, M. Jäger, W. Lotz, J. P. Burrows and R. Hollmann, 2016: “A cloud masking algorithm for the XBAER aerosol retrieval using MERIS data”, Remote Sens. Environ., 197, 141-160, https://doi.org/10.1016/j.rse.2016.11.016.
     
  151. Merchant, C. J., F. Paul, T. Popp, M. Ablain, S. Bontemps, P. Defourny, R. Hollmann, T. Lavergne, A. Laeng, G. de Leeuw, J. Mittaz, C. Poulsen, A. C. Povey, M. Reuter, S. Sathyendranath, S. Sandven, V. F. Sofeiva and W. Wagner, 2017: “Uncertainty information in climate data records from Earth observation”, Earth Syst. Sci. Data, 9, 511-527, https://doi.org/10.5194/essd-9-511-2017.
     
  152. Mehta, S. K., D. Ojha, S. Mehta, D. Anand, D. N. Rao, V. Annamalai, A. Ananthavel, and S. Ali, 2017: “Thermodynamic structure of the convective boundary layer (CBL) over the Indian monsoon region during CAIPEEX campaigns”, Ann. Geophys., 35, 1361-1379, https://doi.org/10.5194/angeo-35-1361-2017.
     
  153. Miller, S. D., R. L. Bankert, J. E. Solbrig, J. M. Forsythe and Y.-J. Noh, 2017: “A Dynamic Enhancement with Background Reduction Algorithm: Overview and Application to Satellite-Based Dust Storm Detection”, J. Geophys. Res. Atmos., 122, 12,938-12,959, https://doi.org/10.1002/2017JD027365.
     
  154. Mioche, G., O. Jourdan, J. Delanoë, C. Gourbeyre, G. Febvre, R. Dupuy, F. Szczap, A. Schwarzenboeck and J.-F. Gayet, 2017: “Vertical distribution of microphysical properties of Arctic springtime low-level mixed-phase clouds over the Greenland and Norwegian seas”, Atmos. Chem. Phys., 17, 12845-12869, https://doi.org/10.5194/acp-17-12845-2017.
     
  155. Mockford, T., 2017: “Sources, drivers and sedimentology of Icelandic dust events”, Ph.D. Thesis, Loughborough University, 257 pp. [see https://hdl.handle.net/2134/33344].
     
  156. Nabavi, S. O., L. Haimberger and C. Samimi, 2017: “Sensitivity of WRF-chem predictions to dust source function specification in West Asia”, Aeolian Research, 24, 115-131, https://doi.org/10.1016/j.aeolia.2016.12.005.
     
  157. Nam, J., S.-W. Kim, R. J. Park, J.-S. Park and S. S. Park, 2017: “Changes in column aerosol optical depth and ground-level particulate matter concentration over East Asia”, Air. Qual. Atmos. Health, https://doi.org/10.1007/s11869-017-0517-5.
     
  158. Naud C. M., D. J. Posselt and S. C. van den Heever, 2017: “Observed co-variations of aerosol optical depth and cloud cover in extratropical cyclones”, J. Geophys. Res. Atmos., 122, 10,338-10,356, https://doi.org/10.1002/2017JD027240.
     
  159. Nehrir, A. R., C. Kiemle, M. D. Lebsock, G. Kirchengast, S. A. Buehler, U. Löhnert, C.-L. Liu, P. C. Hargrave, M. Barrera-Verdejo and D. M. Winker, 2017: “Emerging Technologies and Synergies for Airborne and Space-Based Measurements of Water Vapor Profiles”, Surv. Geophys., https://doi.org/10.1007/s10712-017-9448-9.
     
  160. Nguyen, H., C. Franklin and A. Protat, 2017: “Understanding the ACCESS model errors over the Maritime Continent using CloudSat and CALIPSO simulators”, Q. J. Roy. Meteorol. Soc., 143, 3136-3152, https://doi.org/10.1002/qj.3168.
     
  161. Nicolas, J. P., A. M. Vogelmann, R. C. Scott, A. B. Wilson, M. P. Cadeddu, D. H. Bromwich, J. Verlinde, D. Lubin, L. M. Russell, C. Jenkinson, H. H. Powers, M. Ryczek, G. Stone and J. D. Wille, 2017: “January 2016 extensive summer melt in West Antarctica favoured by strong El Niño”, Nat. Commun., 8, 15799, https://doi.org/10.1038/ncomms15799.
     
  162. Nishi, N., A. Hamada and H. Hirose, 2017: “Improvement of Cirrus Cloud-Top Height Estimation Using Geostationary Satellite Split-Window Measurements Trained with CALIPSO Data”, SOLA, 13, 240-245, https://doi.org/10.2151/sola.2017-044.
     
  163. Noh, Y.-J., J. M. Forsythe, S. D. Miller, C. J. Seaman, Y. Li, A. K. Heidinger, D. T. Lindsey, M. A. Rogers and P. T. Partain, 2017: “Cloud Base Height Estimation from VIIRS. Part II: A Statistical Algorithm Based on A-Train Satellite Data”, J. Atmos. Oceanic Technol., 34, 585-598, https://doi.org/10.1175/JTECH-D-16-0110.1.
     
  164. Ocko, I. B. and P. A. Ginoux, 2017: “Comparing multiple model-derived aerosol optical properties to collocated ground-based and satellite measurements”, Atmos. Chem. Phys., 17, 4451-4475, https://doi.org/10.5194/acp-17-4451-2017.
     
  165. Oreopoulos L., N. Cho and D. Lee, 2017: “New Insights about Cloud Vertical Structure from CloudSat and CALIPSO observations”, J. Geophys. Res. Atmos., 122, 9280-9300, https://doi.org/10.1002/2017JD026629.
     
  166. Orr, A., C. Listowski, M. Couttet, E. Collier, W. Immerzeel, P. Deb and D. Bannister, 2017: “Sensitivity of simulated summer monsoonal precipitation in Langtang Valley, Himalaya to cloud microphysics schemes in WRF”, J. Geophys. Res. Atmos., 122, 6298-6318, https://doi.org/10.1002/2016JD025801.
     
  167. Ortiz-Amezcua, P., J. L. Guerrero-Rascado, M. J. Granados-Muñoz, J. A. Benavent-Oltra, C. Böckmann, S. Samaras, I. S. Stachlewska, L. Janicka, H. Baars, S. Bohlmann and L. Alados-Arboledas, 2017: “Microphysical characterization of long-range transported biomass burning particles from North America at three EARLINET stations”, Atmos. Chem. Phys., 17, 5931-5946, https://doi.org/10.5194/acp-17-5931-2017.
     
  168. Palm, S. P., V. Kayetha, Y. Yang and R. Pauly, 2017: “Blowing snow sublimation and transport over Antarctica from 11 years of CALIPSO observations”, The Cryosphere, 11, 2555-2569, https://doi.org/10.5194/tc-11-2555-2017.
     
  169. Pan, H., L. Bu, K. R. Kumar, H. Gao, X. Huang and W. Zhang, 2017: “A new retrieval method for the ice water content of cirrus using data from the CloudSat and CALIPSO”, J. Atmos. Sol.-Terr. Phy., 161, 134-142, https://doi.org/10.1016/j.jastp.2017.07.001.
     
  170. Pan, Z., F. Mao, W. Gong, Q. Min and W. Wang, 2017: “The warming of Tibetan Plateau enhanced by 3D variation of low-level clouds during daytime”, Remote Sens. Environ., 198, 363-368, https://doi.org/10.1016/j.rse.2017.06.024.
     
  171. Pandey, S. K., V. Vinoj, K. Landu and S. S. Babu, 2017: “Declining pre-monsoon dust loading over South Asia: Signature of a changing regional climate”, Scientific Reports, 7, 16062, https://doi.org/10.1038/s41598-017-16338-w.
     
  172. Patel, P. N., U. C. Dumka, K. N. Babu and A. K. Mathur, 2017: “Aerosol characterization and radiative properties over Kavaratti, a remote island in southern Arabian Sea from the period of observations”, Science of the Total Environment, 599-600, 165-180, https://doi.org/10.1016/j.scitotenv.2017.04.168.
     
  173. Pelon, J. D. Winker, G. Ancellet, M. Vaughan, D. Josset, A. Bazureau and N. Pascal, 2017: “Space observation of aerosols from satellite over China during pollution episodes : status and perspectives”, in Air Pollution in Eastern Asia: An Integrated Perspective, I. Bouarar, X. Wang and G. P. Brasseur, Eds., Springer-Verlag GmbH, ISBN 978-3319594880.
     
  174. Pérez-Ramírez, D., M. Andrade, T. Eck, A. Stein, N. O’Neill, H. Lyamani, S. Gassó, D. N. Whiteman, I. Veselovskii and F. Velarde, 2017: “Multi year aerosol characterization in the tropical Andes and in adjacent Amazonia using AERONET measurements”, Atmos. Environ., 166, 412-432, https://doi.org/10.1016/j.atmosenv.2017.07.037.
     
  175. Peris-Ferrús, C., J. L. Gómez-Amo, C. Marcos, M. D. Freile-Aranda, M. P. Utrillas and J. A. Martínez-Lozano, 2017: “Heating rate profiles and radiative forcing due to a dust storm in the Western Mediterranean using satellite observations”, Atmos. Environ., 160, 142-153, https://doi.org/10.1016/j.atmosenv.2017.04.023.
     
  176. Phanikumar, D. V., K. N. Kumar, S. Bhattacharjee, M. Naja, I. A. Girach, P. R. Nair and S. Kumari, 2017: “Unusual enhancement in tropospheric and surface ozone due to orography induced gravity waves”, Remote Sens. Environ., 199, 256-264, https://doi.org/10.1016/j.rse.2017.07.011.
     
  177. Platnick, S., K. G. Meyer, M. D. King, G. Wind, N. Amarasinghe, B. Marchant, G. T. Arnold, Z. Zhang, P. A. Hubanks, R. E. Holz, P. Yang, W. L. Ridgway and J. Riedi, 2017: “The MODIS Cloud Optical and Microphysical Products: Collection 6 Updates and Examples From Terra and Aqua”, IEEE Trans. Geosci. Remote Sens., 55, 502-525, https://doi.org/10.1109/TGRS.2016.2610522.
     
  178. Plokhenko, Y., W. P. Menzel, R. Knuteson and H. E. Revercomb, 2017: “Mathematical aspects in the meteorological interpretation of satellite hyperspectral infrared measurements part II: estimates of the cloud absorption vertical profile of Hurricane Ioke on 28 August 2006”, Int. J. Remote Sens., 38, 57-79, https://doi.org/10.1080/01431161.2017.1385106.
     
  179. Prata, A. T., S. A. Young, S. T. Siems, and M. J. Manton, 2017: “Lidar ratios of stratospheric volcanic ash and sulfate aerosols retrieved from CALIOP measurements”, Atmos. Chem. Phys., 17, 8599-8618, https://doi.org/10.5194/acp-17-8599-2017.
     
  180. Prata, F., M. Woodhouse, H. E. Huppert, A. Prata, T. Thordarson and S. Carn, 2017: “Atmospheric processes affecting the separation of volcanic ash and SO2 in volcanic eruptions: inferences from the May 2011 Grímsvötn eruption”, Atmos. Chem. Phys., 17, 10709-10732, https://doi.org/10.5194/acp-17-10709-2017.
     
  181. Putri, N. S., T. Hayasaka and K. D. Whitehall, 2017: “The Properties of Mesoscale Convective Systems in Indonesia Detected Using the Grab ’Em Tag ’Em Graph ’Em (GTG) Algorithm”, J. Meteorol. Soc. Jpn., 95, 391-409, https://doi.org/10.2151/jmsj.2017-026.
     
  182. Qiu, Y., J. Wang and K. Yang, 2017: “Statistical Comparison of Cloud and Aerosol Vertical Properties between Two Eastern China Regions Based on CloudSat/CALIPSO Data”, Advances in Meteorology, 2017, 5204537, https://doi.org/10.1155/2017/5204537.
     
  183. Rajapakshe, C., Z. Zhang, J. E. Yorks, H. Yu, Q. Tan, K. Meyer, S. Platnick, and D. M. Winker, 2017: “Seasonally Transported Aerosol Layers over Southeast Atlantic are Closer to Underlying Clouds than Previously Reported”, Geophys. Res. Lett., 44, https://doi.org/10.1002/2017GL073559.
     
  184. Ramaswamy, V., P. M. Muraleedharan and C. P. Babu, 2017: “Mid-troposphere transport of Middle-East dust over the Arabian Sea and its effect on rainwater composition and sensitive ecosystems over India”, Scientific Reports, 7, 13676, https://doi.org/10.1038/s41598-017-13652-1.
     
  185. Raut, J.-C., L. Marelle, J. D. Fast, J. L. Thomas, B. Weinzierl, K. S. Law, L. K. Berg, A. Roiger, R. C. Easter, K. Heimerl, T. Onishi, J. Delanoë and H. Schlager, 2017: “Cross-polar transport and scavenging of Siberian aerosols containing black carbon during the 2012 ACCESS summer campaign”, Atmos. Chem. Phys., 17, 10969-10995, https://doi.org/10.5194/acp-17-10969-2017.
     
  186. Reid, J. S., R. E. Kuehn, R. E. Holz, E. W. Eloranta, K. C. Kaku, S. Kuang, M. J. Newchurch, A. M. Thompson, C. R. Trepte, J. Zhang, S. A. Atwood, J. L. Hand, B. N. Holben, P. Minnis and D. J. Posselt, 2017: “Ground based high spectral resolution lidar observation of aerosol vertical distribution in the summertime Southeast United States”, J. Geophys. Res. Atmos., 122, 2970-3004, https://doi.org/10.1002/2016JD025798.
     
  187. Ricaud, P., E. Bazile, M. del Guasta, C. Lanconelli, P. Grigioni and A. Mahjoub, 2017: “Genesis of diamond dust, ice fog and thick cloud episodes observed and modelled above Dome C, Antarctica”, Atmos. Chem. Phys., 17, 5221-5237, https://doi.org/10.5194/acp-17-5221-2017.
     
  188. Richardson, M., J. McDuffie, G. L. Stephens, H. Q. Cronk and T. E. Taylor, 2017: “The OCO-2 Oxygen A-Band Response to Liquid Marine Cloud Properties from CALIPSO and MODIS”, J. Geophys. Res. Atmos., 122, 8255-8275, https://doi.org/10.1002/2017JD026561.
     
  189. Riuttanen, L., 2017: “Air Pollutants: Regional Transport, Properties and Effect on Upper Tropospheric Humidity”, Ph.D. Thesis, Division of Atmospheric Sciences, Department of Physics, University of Helsinki, 51 pp. [see http://urn.fi/URN:ISBN:978-952-7091-82-1].
     
  190. Romano, F., D. Cimini, S. T. Nilo, F. Di Paola, E. Ricciardelli, E. Ripepi and M. Viggiano, 2017: “The Role of Emissivity in the Detection of Arctic Night Clouds”, Remote Sensing, 9, 406, https://doi.org/10.3390/rs9050406.
     
  191. Ros A., S. Ackerman, and R.E. Holz, 2017: “Correlations of oriented ice and precipitation in marine midlatitude low clouds using collocated CloudSat, CALIOP, and MODIS observations”, J. Geophys. Res., 122, 8056-8070, https://doi.org/10.1002/2016JD026407.
     
  192. Roy, P., R. Biswasharma, A. Deshamukhya, S. Sharma and R. M. Gairola, 2017: “A study of the spatio-temporal variability of the properties of intense precipitation features over the South Asian region: an integrated multisensor approach”, Int. J. Climatol., 37, 624-639, https://doi.org/10.1002/joc.5027.
     
  193. Rysman, J.-F., C. Claud and J. Delanoë, 2017: “Monitoring Deep Convection and Convective Overshooting From 60° S to 60° N Using MHS: A Cloudsat/CALIPSO-Based Assessment”, IEEE Geosci. Remote Sens. Lett., 14, 159-163, https://doi.org/10.1109/LGRS.2016.2631725.
     
  194. Saito, M., H. Iwabuchi, P. Yang, G. Tang, M. D. King and M. Sekiguchi, 2017: “Ice particle morphology and microphysical properties of cirrus clouds inferred from combined CALIOP-IIR measurements”, J. Geophys. Res., 122, 4440-4462, https://doi.org/10.1002/2016JD026080.
     
  195. Sand, M., B. H. Samset, Y. Balkanski, S. Bauer, N. Bellouin, T. K. Berntsen, H. Bian, M. Chin, T. Diehl, R. Easter, S. J. Ghan, T. Iversen, A. Kirkevåg, J.-F. Lamarque, G. Lin, X. Liu, G. Luo, G. Myhre, T. van Noije, J. E. Penner, M. Schulz, Ø. Seland, R. B. Skeie, P. Stier, T. Takemura, K. Tsigaridis, F. Yu, K. Zhang and H. Zhang, 2017: “Aerosols at the Poles: An AeroCom Phase II multi-model evaluation”, Atmos. Chem. Phys., 17, 12197-12218, https://doi.org/10.5194/acp-17-12197-2017.
     
  196. Sauter K., and T. L’Ecuyer, 2017: “Observational Evidence for the Vertical Redistribution and Scavenging of Saharan Dust by Tropical Cyclones”, Geophys. Res. Lett., 44, 6421-6430, https://doi.org/10.1002/2017GL074166.
     
  197. Scott, R. C., D. Lubin, A. M. Vogelmann and S. Kato, 2017: “West Antarctic Ice Sheet Cloud Cover and Surface Radiation Budget from NASA A-Train Satellites”, J. Climate, 30, 6151-6170, https://doi.org/10.1175/JCLI-D-16-0644.1.
     
  198. Senghor, H., é. Machu, F. Hourdin and A. T. Gaye, 2017: “Seasonal cycle of desert aerosols in western Africa: analysis of the coastal transition with passive and active sensors”, Atmos. Chem. Phys., 17, 8395-8410, https://doi.org/10.5194/acp-17-8395-2017.
     
  199. Shang, H., L. Chen, H. Letu, M. Zhao, S. Li and S. Bao, 2017: “Development of a daytime cloud and haze detection algorithm for Himawari-8 satellite measurements over central and eastern China”, J. Geophys. Res. Atmos., 122, 3528-3543, https://doi.org/10.1002/2016JD025659.
     
  200. Shi, C., W. Cai and D. Guo, 2017: “Composition and Thermal Structure of the Upper Troposphere and Lower Stratosphere in a Penetrating Mesoscale Convective Complex Determined by Satellite Observations and Model Simulations”, Advances in Meteorology, 2017, 6404796, 9 pp., https://doi.org/10.1155/2017/6404796.
     
  201. Shikwambana, L. D., 2017: “Lidar and satellite observation of aerosals and clouds over South Africa”, Ph.D. Thesis, School of Chemistry and Physics, University of KwaZulu-Natal, 144 pp. [see http://ukzn-dspace.ukzn.ac.za/bitstream/handle/10413/17674/SHIKWAMBANA_LERATO_DAVID_2017.pdf?sequence=1&isAllowed=y].
     
  202. Shukla, B. P., C. M. Kishtawal and P. K. Pal, 2017: “Satellite-Based Nowcasting of Extreme Rainfall Events Over Western Himalayan Region”, IEEE J. Sel. Top. Appl., 10, 1681-1686, https://doi.org/10.1109/JSTARS.2017.2655105.
     
  203. Solomos, S., A. Ansmann, A., R.-E. Mamouri, I. Binietoglou, P. Patlakas, E. Marinou and V. Amiridis, 2017: “Remote sensing and modeling analysis of the extreme dust storm hitting Middle East and Eastern Mediterranean in September 2015”, Atmos. Chem. Phys., 17, 4063-4079, https://doi.org/10.5194/acp-17-4063-2017.
     
  204. Son, S., Y. Lim, C. Yoo, H. Hendon and J. Kim, 2017: “Stratospheric control of Madden Julian Oscillation”, J. Climate, 30, 1909-1922, https://doi.org/10.1175/JCLI-D-16-0620.1.
     
  205. Srivastava, P., 2017: “Modulation of aerosol radiative forcing over Delhi NCR by mixing state and particle morphology”, Ph.D. Thesis, Centre for Atmospheric Sciences, Indian Institute of Technology Delhi, 151 pp. [see http://eprint.iitd.ac.in/bitstream/2074/7251/1/TH-5174.pdf].
     
  206. Stein, T., C. Holloway, I. Tobin and S. Bony, 2017: “Observed relationships between cloud vertical structure and convective aggregation over tropical ocean”, J. Climate, 30, 2187-2207, https://doi.org/10.1175/JCLI-D-16-0125.1.
     
  207. Stengel, M., S. Stapelberg, O. Sus, C. Schlundt, C. Poulsen, G. Thomas, M. Christensen, C. C. Henken, R. Preusker, J. Fischer, A. Devasthale, U. Willén, K.-G. Karlsson, G. R. McGarragh, S. Proud, A. C. Povey, R. G. Grainger, J. F. Meirink, A. Feofilov, R. Bennartz, J. S. Bojanowski and R. Hollmann, 2017: “Cloud property datasets retrieved from AVHRR, MODIS, AATSR and MERIS in the framework of the Cloud_cci project”, Earth Syst. Sci. Data, 9, 881-904, https://doi.org/10.5194/essd-9-881-2017.
     
  208. Stone, K. A., S. Solomon, D. E. Kinnison, M. C. Pitts, L. R. Poole, M. J. Mills, A. Schmidt, R. R. Neely III, D. Ivy, M. J. Schwartz, J.-P. Vernier, B. J. Johnson, M. B. Tully, A. R. Klekociuk, G. König-Langlo and S. Hagi, 2017: “Observing the impact of Calbuco volcanic aerosols on South Polar ozone depletion in 2015”, J. Geophys. Res. Atmos, 122, 11,862-11,879, https://doi.org/10.1002/2017JD026987.
     
  209. Storelvmo, T., 2017: “Aerosol Effects on Climate via Mixed-Phase and Ice Clouds”, Annual Review of Earth and Planetary Sciences, 45, 199-222, https://doi.org/10.1146/annurev-earth-060115-012240.
     
  210. Strandgren, J., L. Bugliaro, F. Sehnke and L. Schröder, 2017: “Cirrus cloud retrieval with MSG/SEVIRI using artificial neural networks”, Atmos. Meas. Tech., 10, 3547-3573, https://doi.org/10.5194/amt-10-3547-2017.
     
  211. Strandgren, J., J. Fricker and L. Bugliaro, 2017: “Characterisation of the artificial neural network CiPS for cirrus cloud remote sensing with MSG/SEVIRI”, Atmos. Meas. Tech., 10, 4317-4339, https://doi.org/10.5194/amt-10-4317-2017.
     
  212. Stubenrauch, C. J., A. G. Feofilov, S. E. Protopapadaki, and R. Armante, 2017: “Cloud climatologies from the infrared sounders AIRS and IASI: strengths and applications”, Atmos. Chem. Phys., 17, 13625-13644, https://doi.org/10.5194/acp-17-13625-2017.
     
  213. Su, H., J. H. Jiang, J. D. Neelin, T. J. Shen, C. Zhai, Q. Yue, Z. Wang, L. Huang, Y.-S. Choi, G. L. Stephens and Y. L. Yung, 2017: “Tightening of tropical ascent and high clouds key to precipitation change in a warmer climate”, Nat. Commun., 8, 15771, https://doi.org/10.1038/ncomms15771.
     
  214. Su, T., J. Li, C. Li, P. Xiang, A. K.-H. Lau, J. Guo, D. Yang and Y. Miao, 2017: “An intercomparison of long-term planetary boundary layer heights retrieved from CALIPSO, ground-based lidar and radiosonde measurements over Hong Kong”, J. Geophys. Res. Atmos., 122, 3929-3943, https://doi.org/10.1002/2016JD025937.
     
  215. Su, W., N. G. Loeb, L. Liang, N. Liu and C. Liu, 2017: “The El Niño-Southern Oscillation effect on tropical outgoing longwave radiation: A daytime versus nighttime perspective”, J. Geophys. Res. Atmos., 122, 7820-7833, https://doi.org/10.1002/2017JD027002.
     
  216. Su, X., Q. Wang, Z. Li, M. Calvello, F. Esposito, G. Pavese, M. Lin, J. Cao, C. Zhou, D. Li and H. Xu, 2017: “Regional transport of anthropogenic pollution and dust aerosols in spring to Tianjin - A coastal megacity in China”, Sci. Total Environ., 584-585, 381-392, https://doi.org/10.1016/j.scitotenv.2017.01.016.
     
  217. Subrahmanyam, K. V. and K. K. Kumar, 2017: “CloudSat observations of multi layered clouds across the globe”, Clim. Dynam., 49, 327-341, https://doi.org/10.1007/s00382-016-3345-7.
     
  218. Sun, H., X. Liu and Z. Pan, 2017: “Direct radiative effects of dust aerosols emitted from the Tibetan Plateau on the East Asian summer monsoon - a regional climate model simulation”, Atmos. Chem. Phys., 17, 13731-13745, https://doi.org/10.5194/acp-17-13731-2017.
     
  219. Sunilkumar, S. V., M. Muhsin, M. Venkat Ratnam, K. Parameswaran, B. V. Krishna Murthy and M. Emmanuel, 2017: “Boundaries of tropical tropopause layer (TTL): A new perspective based on thermal and stability profiles”, J. Geophys. Res. Atmos., 122, 741-754, https://doi.org/10.1002/2016JD025217.
     
  220. Superczynski, S. D., S. Kondragunta and A. I. Lyapustin, 2017: “Evaluation of the Multi-Angle Implementation of Atmospheric Correction (MAIAC) Aerosol Algorithm through Intercomparison with VIIRS Aerosol Products and AERONET”, J. Geophys. Res. Atmos., 122, 3005-3022, https://doi.org/10.1002/2016JD025720.
     
  221. Tan, S.-C., J. Li, H. Che, B. Chen and H. Wang, 2017: “Transport of East Asian dust storms to the marginal seas of China and the southern North Pacific in spring 2010”, Atmos. Environ., 148, 316-328, https://doi.org/10.1016/j.atmosenv.2016.10.054.
     
  222. Tan, S.-C., X. Zhang, H. Wang, B. Chen, G.-Y. Shi and C. Shi, 2017: “Comparisons of cloud detection among four satellite sensors on severe haze days in eastern China”, Atmos. Oceanic Sci. Lett., https://doi.org/10.1080/16742834.2017.1381547.
     
  223. Taylor, S. A., 2017: “High time-resolution observations of convective cloud lifecycles”, M.S. Thesis, University of Oxford, 121 pp. [see https://ora.ox.ac.uk/objects/uuid:96a5d923-e5eb-4d81-a87c-d8718fb654b4].
     
  224. Tariq, S., 2017: “A Study on the Spatio-Temporal Distribution, Properties and Transport of Atmospheric Aerosols over the Pakistan using Remote Sensing”, Ph.D. Thesis, Department of Space Science, University of the Punjab, 75 pp. [see http://prr.hec.gov.pk/jspui/handle/123456789/9786].
     
  225. Taylor, S., P. Stier, B. White, S. Finkensieper and M. Stengel, 2017: “Evaluating the diurnal cycle in cloud top temperature from SEVIRI”, Atmos. Chem. Phys., 17, 7035-7053, https://doi.org/10.5194/acp-17-7035-2017.
     
  226. Thomas J. L., C. M. Polashenski, A. J. Soja, L. Marelle, K. Casey, H. D. Choi, J.-C. Raut, C. Wiedinmyer, L. K. Emmons, J. Fast, J. Pelon, K. S. Law, M. G. Flanner and J. E. Dibb, 2017: “Quantifying black carbon deposition over the Greenland ice sheet from forest fires in Canada”, Geophys. Res. Lett., 44, 7965-7974 , https://doi.org/10.1002/2017GL073701.
     
  227. Thompson, D. W. J., S. Bony and Y. Li, 2017: “Thermodynamic constraint on the depth of the global tropospheric circulation”, PNAS, 114, 8181-8186, https://doi.org/10.1073/pnas.1620493114.
     
  228. Thornton, J. A., K. S. Virts, R. H. Holzworth and T. P. Mitchell, 2017: “Lightning enhancement over major oceanic shipping lanes”, Geophys. Res. Lett., 44, 9102-9111, https://doi.org/10.1002/2017GL074982.
     
  229. Thorsen, T. J., R. A. Ferrare, C. A. Hostetler, M. A. Vaughan and Q. Fu, 2017: “The impact of lidar detection sensitivity on assessing aerosol direct radiative effects”, Geophys. Res. Lett., 44, 9059-9067, https://doi.org/10.1002/2017GL074521.
     
  230. Tian, P., X. Cao, L. Zhang, N. Sun, L. Sun, T. Logan, J. Shi, Y. Wang, Y. Ji, Y. Lin, Z. Huang, T. Zhou, Y. Shi and R. Zhang, 2017: “Aerosol vertical distribution and optical properties over China from long-term satellite and ground-based remote sensing”, Atmos. Chem. Phys., 17, 2509-2523, https://doi.org/10.5194/acp-17-2509-2017.
     
  231. Tosca, M. G., J. Campbell, M. Garay, S. Lolli, F. C. Seidel, J. Marquis and O. Kalashnikova, 2017: “Attributing Accelerated Summertime Warming in the Southeast United States to Recent Reductions in Aerosol Burden: Indications from Vertically-Resolved Observations”, Remote Sensing, 9, 674, https://doi.org/10.3390/rs9070674.
     
  232. Tsekeri, A., V. Amiridis, F. Marenco, A. Nenes, E. Marinou, S. Solomos, P. Rosenberg, J. Trembath, G. J. Nott, J. Allan, M. Le Breton, A. Bacak, H. Coe, C. Percival and N. Mihalopoulos, 2017: “Profiling aerosol optical, microphysical and hygroscopic properties in ambient conditions by combining in situ and remote sensing”, Atmos. Meas. Tech., 10, 83-107, https://doi.org/10.5194/amt-10-83-2017.
     
  233. Tsikerdekis, A. D., 2017: “Study of dust aerosol - climate interactions using a regional climate model”, Ph.D. Thesis, Department of Geology, Division of Meteorology and Climatology, Aristotle University Of Thessaloniki, 176 pp. [see http://hdl.handle.net/10442/hedi/41781].
     
  234. Tsikerdekis, A., P. Zanis, A. L. Steiner, F. Solmon, V. Amiridis, E. Marinou, E. Katragkou, T. Karacostas and G. Foret, 2017: “Impact of dust size parameterizations on aerosol burden and radiative forcing in RegCM4”, Atmos. Chem. Phys., 17, 769-791, https://doi.org/10.5194/acp-17-769-2017.
     
  235. Tseng, H.-H., 2017: “Tropical tropopause layer cirrus and its relation to tropopause”, M.S. Thesis, Department of Atmospheric Sciences, University of Washington [see http://hdl.handle.net/1773/39934].
     
  236. Tseng, H.-H. and Q. Fu, 2017: “Tropical tropopause layer cirrus and its relation to tropopause”, JQSRT, 188, 118-131, https://doi.org/10.1016/j.jqsrt.2016.05.029.
     
  237. Tseng, H.-H. and Q. Fu, 2017: “Temperature Control of the Variability of Tropical Tropopause Layer Cirrus Clouds”, J. Geophys. Res. Atmos., 122, 11,062-11,075, https://doi.org/10.1002/2017JD027093.
     
  238. Tsushima, Y., F. Brient, S. A. Klein, D. Konsta, C. C. Nam, X. Qu, K. D. Williams, S. C. Sherwood, K. Suzuki, and M. D. Zelinka, 2017: “The Cloud Feedback Model Intercomparison Project (CFMIP) Diagnostic Codes Catalogue - metrics, diagnostics and methodologies to evaluate, understand and improve the representation of clouds and cloud feedbacks in climate models”, Geosci. Model Dev., 10, 4285-4305, https://doi.org/10.5194/gmd-10-4285-2017.
     
  239. Twohy C. H., B. E. Anderson, R. A. Ferrare, K. E. Sauter, T. S. L’Ecuyer, S. C. van den Heever, A. J. Heymsfield, S. Ismail and G. S. Diskin, 2017: “Saharan Dust, Convective Lofting, Aerosol Enhancement Zones and Potential Impacts on Ice Nucleation in the Tropical Upper Troposphere”, J. Geophys. Res. Atmos., 122, 8833-8851, https://doi.org/10.1002/2017JD026933.
     
  240. Vaillant De Guélis, T., 2017: “Apport des observations par lidar spatial pour comprendre L’Effet radiatif des nuages dans l’infrarouge”, Ph.D. Thesis, Météorologie, Université Pierre et Marie Curie, 220 pp. [see https://tel.archives-ouvertes.fr/tel-01760630/].
     
  241. Vaillant de Guélis, T., H. Chepfer, V. Noel, R. Guzman, P. Dubuisson, D. M. Winker, and S. Kato, 2017: “The link between outgoing longwave radiation and the altitude at which a spaceborne lidar beam is fully attenuated”, Atmos. Meas. Tech., 10, 4659-4685, https://doi.org/10.5194/amt-10-4659-2017.
     
  242. Vaillant de Guélis, T., H. Chepfer, V. Noel, R. Guzman, D. M. Winker and R. Plougonven, 2017: “Using Space Lidar Observations to Decompose Longwave Cloud Radiative Effect Variations Over the Last Decade”, Geophys. Res. Lett., 44, 11,994-12,003, https://doi.org/10.1002/2017GL074628.
     
  243. Valenzuela, A., M. J. Costa, J. L. Guerrero-Rascado, D. Bortoli and F. J. Olmo, 2017: “Solar and thermal radiative effects during the 2011 extreme desert dust episode over Portugal”, Atmos. Environ., 148, 16-29, https://doi.org/10.1016/j.atmosenv.2016.10.037.
     
  244. Van Beusekom, A. E., G. González and M. A. Scholl, 2017: “Analyzing cloud base at local and regional scales to understand tropical montane cloud forest vulnerability to climate change”, Atmos. Chem. Phys., 17, 7245-7259, https://doi.org/10.5194/acp-17-7245-2017.
     
  245. Vira, J., E. Carboni, R. G. Grainger and M. Sofiev, 2017: “Variational assimilation of IASI SO2 plume height and total column retrievals in the 2010 eruption of Eyjafjallajökull using the SILAM v5.3 chemistry transport model”, Geosci. Model Dev., 10, 1985-2008, https://doi.org/10.5194/gmd-10-1985-2017.
     
  246. Wall, C. J., T. Kohyama and D. L. Hartmann, 2017: “Low-cloud, boundary layer, and sea ice interactions over the Southern Ocean during winter”, J. Climate, 30, 4857-4871, https://doi.org/10.1175/JCLI-D-16-0483.1.
     
  247. Wall, C., D. Hartmann, and P. Ma, 2017: “Instantaneous linkages between clouds and large-scale meteorology over the Southern Ocean in observations and a climate model”, J. Climate, 30, 9455-9474, https://doi.org/10.1175/JCLI-D-17-0156.1.
     
  248. Wang, F. and S. Yang, 2017: “Can CFMIP2 models reproduce the leading modes of cloud vertical structure in the CALIPSO-GOCCP observations?”, Theor. Appl. Climatol., https://doi.org/10.1007/s00704-017-2051-7.
     
  249. Wang, W., A. T. Evan, C. Lavaysse and C. Flamant, 2017: “The role the Saharan Heat Low plays in dust emission and transport during summertime in North Africa”, Aeolian Res., 28, 1-12, https://doi.org/10.1016/j.aeolia.2017.07.001.
     
  250. Wang, W., 2017: “The Role the Saharan Heat Low Plays in the Variability of Dust Emission and Transport in North Africa from Synoptic to Decadal Scales”, Ph.D. Thesis, Department of Earth Sciences, University of California, San Diego, 111 pp. [see https://escholarship.org/uc/item/1804r8jn.pdf].
     
  251. Wang, W., L. Sheng, X. Dong, W. Qu, J. Sun, H. Jin and T. Logan, 2017: “Dust aerosol impact on the retrieval of cloud top height from satellite observations of CALIPSO, CloudSat and MODIS”, JQSRT, 188, 132-141, https://doi.org/10.1016/j.jqsrt.2016.03.034.
     
  252. Webb, M. J., T. Andrews, A. Bodas-Salcedo, S. Bony, C. S. Bretherton, R. Chadwick, H. Chepfer, H. Douville, P. Good, J. E. Kay, S. A. Klein, R. Marchand, B. Medeiros, A. P. Siebesma, C. B. Skinner, B. Stevens, G. Tselioudis, Y. Tsushima and M. Watanabe, 2017: “The Cloud Feedback Model Intercomparison Project (CFMIP) contribution to CMIP6”, Geosci. Model Dev., 10, 359-384, https://doi.org/10.5194/gmd-10-359-2017.
     
  253. Williams, K. D. and A. Bodas-Salcedo, 2017: “A multi-diagnostic approach to cloud evaluation”, Geosci. Model Dev., 10, 2547-2566, https://doi.org/10.5194/gmd-10-2547-2017.
     
  254. Winker, D., H. Chepfer, V. Noel and X. Cai, 2017: “Observational Constraints on Cloud Feedbacks: The Role of Active Satellite Sensors”, Surv. Geophys., 38, 1483-1508, https://doi.org/10.1007/s10712-017-9452-0.
     
  255. Wong, M. S., K. Qin, H. Lian, J. R. Campbell, K. H. Lee and S. Sheng, 2017: “Continuous ground-based aerosol Lidar observation during seasonal pollution events at Wuxi, China”, Atmos. Environ., 154, 189-199, https://doi.org/10.1016/j.atmosenv.2017.01.051.
     
  256. Wu, L., H. Su, O. V. Kalashnikova, J. H. Jiang, C. Zhao, M. J. Garay, J. R. Campbell and N. Yu, 2017: “WRF-Chem simulation of aerosol seasonal variability in the San Joaquin Valley”, Atmos. Chem. Phys., 17, 7291-7309, https://doi.org/10.5194/acp-17-7291-2017.
     
  257. Wu, T., M, Fan, J. Tao, L. Su, P. Wang, D. Liu, M. Li, X. Han and L. Chen, 2017: “Aerosol Optical Properties over China from RAMS-CMAQ Model Compared with CALIOP Observations”, Atmosphere, 8, 201, https://doi.org/10.3390/atmos8100201.
     
  258. Wu, W., X. Liu, D. K. Zhou, A. M. Larar, Q. Yang, S. H. Kizer and Q. Liu, 2017: “The Application of PCRTM Physical Retrieval Methodology for IASI Cloudy Scene Analysis”, IEEE Trans. Geosci. Remote Sens., 55, 5042-5056, https://doi.org/10.1109/TGRS.2017.2702006.
     
  259. Wu, Y., M. de Graaf and K. Menenti, 2017: “The impact of aerosol vertical distribution on aerosol optical depth retrieval using CALIPSO and MODIS data: Case study over dust and smoke regions”, J. Geophys. Res. Atmos., 122, 8801-8815, https://doi.org/10.1002/2016JD026355.
     
  260. Wu, Y., Y. Han, A. Voulgarakis, T. Wang, M. Li, Y. Wang, M. Xie, B. Zhuang and S. Li, 2017: “An agricultural biomass burning episode in eastern China: Transport, optical properties, and impacts on regional air quality”, J. Geophys. Res. Atmos., 122, 2304-2324, https://doi.org/10.1002/2016JD025319.
     
  261. Xie, Y., W. Zhang and J. J. Qu, 2017: “Detection of Asian Dust Storm Using MODIS Measurements”, Remote Sens., 9, 869; https://doi.org/10.3390/rs9080869.
     
  262. Xu, H., J. Guo, Y. Wang., C. Zhao, Z. Zhang, M. Min, Y. Miao, H. Liu, J. He, S. Zhou and P. Zhai, 2017: “Warming effect of dust aerosols modulated by overlapping clouds below”, Atmos. Environ., 166, 393-402, https://doi.org/10.1016/j.atmosenv.2017.07.036.
     
  263. Xu, X., J. Wang, Y. Wang, J. Zeng, O. Torres, Y. Yang, A. Marshak, J. Reid and S. Miller, 2017: “Passive remote sensing of altitude and optical depth of dust plumes using the oxygen A and B bands: First results from EPIC/DSCOVR at Lagrange-1 point”, Geophys. Res. Lett., 44, 7544-7554, https://doi.org/10.1002/2017GL073939.
     
  264. Yamauchi, A., 2017: “A study of the vertical structures of ice and Kuroshio clouds using CloudSat/CALIPSO satellite data”, Ph.D. Thesis, Graduate School of Fisheries and Environmental Sciences, Nagasaki University, 105 pp. [see http://hdl.handle.net/10069/38473].
     
  265. Yamauchi, A., K. Kawamoto, H. Okamoto and K. Sato, 2017: “Differences in Cloud Characteristics Between Barents Sea and East Siberian Sea Using CALIPSO Data”, Journal of the Remote Sensing Society of Japan, 37, 434-441, https://doi.org/10.11440/rssj.37.434 (text in Japanese).
     
  266. Yang, Q., M. Wang, J. E. Overland, W. Wang and T. W. Collow, 2017: “Impact of Model Physics on Seasonal Forecasts of Surface Air Temperature in the Arctic”, Mon. Wea. Rev., 145, 773-782, https://doi.org/10.1175/MWR-D-16-0272.1.
     
  267. Yu, H., M. Zhang, W. Lin and X. Zhang, 2017: “Cloud transitions: comparison of temporal variation in the southeastern Pacific with the spatial variation in the northeastern Pacific at low latitudes”, Int. J. Climatol., 2923-2933, https://doi.org/10.1002/joc.4889.
     
  268. Zamora, L. M., R. A. Kahn, S. Eckhardt, A. McComiskey, P. Sawamura, R. Moore and A. Stohl, 2017: “Arctic aerosol net indirect effects on thin, mid-altitude, liquid-bearing clouds”, Atmos. Chem. Phys., 17, 7311-7332, https://doi.org/10.5194/acp-17-7311-2017.
     
  269. Zhan, Y., 2017: “The Darkening Arctic from Space: Quantification and Application”, Ph.D. Thesis, Department of Physics, University of Auckland, 143 pp. [see http://hdl.handle.net/2292/34605].
     
  270. Zhang, J., X. Xia and H. Chen, 2017: “A Comparison of Cloud Layers from Ground and Satellite Active Remote Sensing at the Southern Great Plains ARM Site”, Adv. Atmos Sci., 34, 347-359, https://doi.org/10.1007/s00376-016-6030-1.
     
  271. Zhang, L. and D. A. Jaffe, 2017: “Trends and sources of ozone and sub-micron aerosols at the Mt. Bachelor Observatory (MBO) during 2004-2015”, Atmos. Environ., 165, 143-154, https://doi.org/10.1016/j.atmosenv.2017.06.042.
     
  272. Zhang, Z., W. Zhou, M. Wenig and L. Yang, 2017: “Impact of long-range desert dust transport on hydrometeor formation over coastal East Asia”, Adv. Atmos. Sci., 34, 101, https://doi.org/10.1007/s00376-016-6157-0.
     
  273. Zhang, Z., W. Zhou, M. Wenig and L. Yang, 2017: “Impact of long-range desert dust transport on coastal East Asia: analysis of urban dust concentration and wet deposition with model simulation”, Air Quality, Atmosphere & Health, 10, 325-337, https://doi.org/10.1007/s11869-016-0440-1.
     
  274. Zhao, H., D. Hua, J. Mao and C. Zhou, 2017: “Investigate the relationship between multiwavelength lidar ratios and aerosol size distributions using aerodynamic particle sizer spectrometer”, JQSRT, 118, 12-19, https://doi.org/10.1016/j.jqsrt.2016.07.012.
     
  275. Zhao, X., Y. Lin, Y. Peng, B. Wang, H. Morrison and A. Gettelman, 2017: “A single ice approach using varying ice particle properties in global climate model microphysics”, JAMES, 9, 2138-2157, https://doi.org/10.1002/2017MS000952.
     
  276. Zheng, C., C. Zhao, Y. Zhu, Y. Wang, X. Shi, X. Wu, T. Chen, F. Wu and Y. Qiu, 2017: “Analysis of Influential Factors for the Relationship between PM2.5 and AOD in Beijing”, Atmos. Chem. Phys., 17, 13473-13489, https://doi.org/10.5194/acp-17-13473-2017.
     
  277. Zheng, Y., H. Che, L. Yang, J. Chen, Y. Wang, X, Xia, H. Zhao, H. Wang, D. Wang, K. Gui, L. An, T. Sun, J. Yu, X. Kuang, Z. Gui, T. Zhao and X. Zhang, 2017: “Comprehensive Analysis of the Optical and Radiative Properties of Aerosols during a Severe Haze Episode over the North China Plain in December 2016”, J. Meteor. Res., 31, 1045-1061, https://doi.org/10:1007/s13351-017-7073-7 (see http://www.cmsjournal.net:8080/Jweb_jmr/EN/abstract/abstract1793.shtml).
     
  278. Zhou, Y., X. Sun, C. Zhang, R. Zhang, Y. Li and H. Li, 2017: “3D aerosol climatology over East Asia derived from CALIOP observations”, Atmos. Environ., 152, 503-518, https://doi.org/10.1016/j.atmosenv.2017.01.013.
     
  279. Zhu, J., X. Xia, J. Wang, J. Zhang, C. Wiedinmyer, J. A. Fisher and C. Keller, 2017: “Impact of Southeast Asian smoke on aerosol properties in Southwest China: first comparison of model simulations with satellite and ground observations”, J. Geophys. Res. Atmos., 122, 3904-3919, https://doi.org/10.1002/2016JD025793.
     
  280. Zhu, L., J. Li, Y. Zhao, H. Gong and W. Li, 2017: “Retrieval of volcanic ash height from satellite-based infrared measurements”, J. Geophys. Res. Atmos., 122, 5364-5379, https://doi.org/10.1002/2016JD026263.
     
  281. Zhu, Y., O. B. Toon, M. C. Pitts, A. Lambert, C. Bardeen and D. E. Kinnison, 2017: “Comparing simulated PSC optical properties with CALIPSO observations during the 2010 Antarctic Winter”, J. Geophys. Res. Atmos., 122, 1175-1202, https://doi.org/10.1002/2016JD025191.
     
  282. Zhu Y., O. B. Toon, A. Lambert, D. E. Kinnison, C. Bardeen and M. C. Pitts, 2017: “Development of a Polar Stratospheric Cloud Model within the Community Earth System Model: Assessment of 2010 Antarctic Winter”, J. Geophys. Res. Atmos., 122, 10,418-10,438, https://doi.org/10.1002/2017JD027003.
     
  283. Zhuge, X.-Y., X. Zou and Y. Wang, 2017: “A Fast Cloud Detection Algorithm Applicable to Monitoring and Nowcasting of Daytime Cloud Systems”, IEEE Trans. Geosci. Remote Sens., 55, 6111-6119, https://doi.org/10.1109/TGRS.2017.2720664.
     
  284. Zidikheri, M. J., C. Lucas and R. J. Potts, 2017: “Estimation of optimal dispersion model source parameters using satellite detections of volcanic ash”, J. Geophys. Res. Atmos., 122, 8207-8232, https://doi.org/10.1002/2017JD026676.
     
  285. Zidikheri, M. J., C. Lucas and R. J. Potts, 2017: “Towards quantitative forecasts of volcanic ash dispersal: using satellite retrievals for optimal estimation of source terms”, J. Geophys. Res. Atmos., 122, 8187-8206, https://doi.org/10.1002/2017JD026679.
     
  286. Zou, X., 2017: “The Prominent West Antarctic Surface Melt Event of January 2016: Investigation of the Dominant Physical Mechanisms”, M.S. Thesis, Graduate Program in Atmospheric Sciences, Ohio State University, 135 pp. [see http://rave.ohiolink.edu/etdc/view?acc_num=osu1511894550435471].
     

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Published in 2016
  1. Adebiyi, A. A., 2016: “The Impact of Meteorology on Smoke and Low-level Clouds over the Southeast Atlantic”, Ph.D. Thesis, Department of Meteorology and Physical Oceanography, University of Miami, 200 pp. [see http://scholarlyrepository.miami.edu/oa_dissertations/1703/].
     
  2. Adebiyi, A. A. and P. Zuidema, 2016: “The Role of the Southern African Easterly Jet in Modifying the Southeast Atlantic Aerosol and Cloud Environments”, Q. J. Roy. Meteorol. Soc., 142, 1574-1589, https://doi.org/10.1002/qj.2765.
     
  3. Adok, C., 2016: “Retrieval of Cloud Top Pressure”, M.S. Thesis, Linköping University, Department of Computer and Information Science, 72 pp. [see http://www.uppsatser.se/uppsats/750bf8cda4/].
     
  4. Alfaro-Contreras, R., J. Zhang, J. R. Campbell and J. S. Reid, 2016: “Investigating the frequency and trends in global above-cloud aerosol characteristics with CALIOP and OMI”, Atmos. Chem. Phys., 16, 47-69, https://doi.org/10.5194/acp-16-47-2016