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CALIPSO PUBLICATIONS






Last Updated: May 19, 2022
Last Syntax Updated: June 24, 2022

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 19
2022 161
2021 385
2020 340
2019 366
2018 342
2017 295
2016 268
2015 263
2014 256
2013 252
2012 214
2011 194
2010 166
2009 117
2008 70
2007 21
Total 3,729

Publications Using CALIPSO Data


Published in 2022
  1. Alekseeva, M. N. and I. G. Yashchenko, 2022: “Satellite monitoring of environment conditions in the oil and gas complex impact zone of the Tomsk region”, Modern Problems of Remote Sensing of the Earth from Space, 19, 158-169, https://doi.org/10.21046/2070-7401-2022-19-1-158-169 (in Russian).
     
  2. An, L., Z. Yao, P. Zhang, S. Jia, J. Zhao, L. Gao and Z. Liu, 2022: “Regional characteristics and exploitation potential of atmospheric water resources in China”, Int. J. Climatol., 42, 3225-3245, https://doi.org/10.1002/joc.7575.
     
  3. Aswini, M. A., S. Tiwari, U. Singh, S. Kurian, A. Patel, S. S. Gunthe and A. Kumar, 2022: “Aeolian Dust and Sea Salt in Marine Aerosols over the Arabian Sea during the Southwest Monsoon: Sources and Spatial Variability”, ACS Earth Space Chem., 6, 1044-1058, https://doi.org/10.1021/acsearthspacechem.1c00400.
     
  4. Asutosh, A., V. Vinoj, N. Murukesh, R. Ramisetty and N. Mittal, 2022: “Investigation of June 2020 giant Saharan dust storm using remote sensing observations and model reanalysis”, Sci. Rep., 12, 6114, https://doi.org/10.1038/s41598-022-10017-1.
     
  5. Babu, S. R. and Y.-A. Liou, 2022: “Day-to-day variability of upper troposphere and lower stratosphere temperature in response to Taal volcanic eruption inferred from COSMIC-2 RO measurements”, J. Volcanol. Geoth. Res., 421, 107445, https://doi.org/10.1016/j.jvolgeores.2021.107445.
     
  6. Babu, S. R., L. S. P. Nguyena, G.-R. Sheu, S. M. Griffith, S. K. Pani, H.-Y. Huang, N.-H. Lin, 2022: “Long-range transport of La Soufrière volcanic plume to the western North Pacific: Influence on atmospheric mercury and aerosol properties”, Atmos. Environ., 268, 118806, https://doi.org/10.1016/j.atmosenv.2021.118806.
     
  7. Baladima, F., J. L. Thomas, D. Voisin, M. Dumont, C. Junquas, R. Kumar, C. Lavaysse, L. Marelle, M. Parrington and J. Flemming, 2022: “Modeling an extreme dust deposition event to the French alpine seasonal snowpack in April 2018: Meteorological context and predictions of dust deposition”, J. Geophys. Res. Atmos., 127, e2021JD035745, https://doi.org/10.1029/2021JD035745.
     
  8. Bugliaro, L., D. Piontek, S. Kox, M. Schmidl, B. Mayer, R. Müller, M. Vázquez-Navarro, D. M. Peters, R. G. Grainger, J. Gasteiger and J. Kar, 2022: “VADUGS: a neural network for the remote sensing of volcanic ash with MSG/SEVIRI trained with synthetic thermal satellite observations simulated with a radiative transfer model”, Nat. Hazards Earth Syst. Sci., 22, 1029-1054, https://doi.org/10.5194/nhess-22-1029-2022.
     
  9. Calì Quaglia, F., D. Meloni, G. Muscari, T. Di Iorio, V. Ciardini, G. Pace, S. Becagli, A. Di Bernardino, M. Cacciani, J. W. Hannigan, I. Ortega and A. G. di Sarra, 2022: “On the Radiative Impact of Biomass-Burning Aerosols in the Arctic: The August 2017 Case Study”, Remote Sens., 14, 313, https://doi.org/10.3390/rs14020313.
     
  10. Chand, K., J. C. Kuniyal, S. Kanga, R. P. Guleria, G. Meraj, P. Kumar, M. Farooq, S. K. Singh, M. S. Nathawat, N. Sahu and R. Kumar, 2022: “Aerosol Characteristics and Their Impact on the Himalayan Energy Budget”, Sustainability, 14, 179, https://doi.org/10.3390/su14010179.
     
  11. Chazette, P., A. Baron and C. Flamant, 2022: “Mesoscale spatio-temporal variability of airborne lidar-derived aerosol properties in the Barbados region during EUREC4A”, Atmos. Chem. Phys., 22, 1271-1292, https://doi.org/10.5194/acp-22-1271-2022.
     
  12. Chen, B., Z. Song, J. Huang, P. Zhang, X. Hu, X. Zhang, X. Guan, J. Ge and X. Zhou, 2022: “Estimation of Atmospheric PM10 Concentration in China Using an Interpretable Deep Learning Model and Top-of-the-Atmosphere Reflectance Data From China’s New Generation Geostationary Meteorological Satellite, FY-4A”, J. Geophys. Res. Atmos., 127, e2021JD036393, https://doi.org/10.1029/2021JD036393.
     
  13. Chen, B., Z. Song, F. Pan and Y. Huang, 2022: “Obtaining vertical distribution of PM2.5 from CALIOP data and machine learning algorithms”, Sci. Total Environ., 805, 150338, https://doi.org/10.1016/j.scitotenv.2021.150338.
     
  14. Chen, B., Z. Song, B. Shi and M. Li, 2022: “An interpretable deep forest model for estimating hourly PM10 concentration in China using Himawari-8 data”, Atmos. Environ., 268, 118827, https://doi.org/10.1016/j.atmosenv.2021.118827.
     
  15. Chen, B. and D. Wu, 2022: “Arctic sea fog detection using CALIOP and MODIS”, Journal of Atmospheric and Environmental Optics, 17, 267-278, http://gk.hfcas.ac.cn/EN/Y2022/V17/I2/267 (in Chinese).
     
  16. Chen, S., V. Natraj, Z.-C. Zeng and Y. L. Yung, 2022: “Machine learning-based aerosol characterization using OCO-2 O2 A-band observations”, JQSRT, 279, 108049, https://doi.org/10.1016/j.jqsrt.2021.108049.
     
  17. Chen, S., H. Bi, R. Zhang, Y. Wang, J. Guo, D. Zhao, Y. Chen, Y. Guan and Z. Xie, 2022: “Impact of dust-cloud-radiation interactions on surface albedo: a case study of ’Tiramisu’ snow in Urumqi, China”, Environ. Res. Lett., 17, 015001, https://doi.org/10.1088/1748-9326/ac3b18.
     
  18. Chen, X., T. Yang, H. Wang, F. Wang and Z. Wang, 2022: “Variations and drivers of aerosol vertical characterization after clean air policy in China based on 7-years consecutive observations”, J. Environ. Sci., 125, 499-512, https://doi.org/10.1016/j.jes.2022.02.036.
     
  19. Cheng, L., C. Xie, H. Yang, Z. Fang, M. Zhao, X. Deng, B. Wang and K. Xing, 2022: “Observation and Analysis of a Haze Pollution Event in Beijing by Spaceborne and Ground-based Lidars”, Acta Photonica Sinica, 51, 0301001 (in Chinese; see https://www.opticsjournal.net/Articles/OJ6be06db61f1d9c08/FullText).
     
  20. Cheremisin, A. A., V. N. Marichev, D. A. Bochkovskii, P. V. Novikov and I. I. Romanchenko, 2022: “Stratospheric Aerosol of Siberian Forest Fires According to Lidar Observations in Tomsk in August 2019”, Atmospheric and Oceanic Optics, 35, 57-64, https://doi.org/10.1134/S1024856022010043.
     
  21. Choi, Y.-J., H.-J. Ban, H.-J. Han and S. Hong, 2022: “A Maritime Cloud-Detection Method Using Visible and Near-Infrared Bands over the Yellow Sea and Bohai Sea”, Remote Sens., 14, 793, https://doi.org/10.3390/rs14030793.
     
  22. Choudhury, G. and M. Tesche, 2022: “Estimating cloud condensation nuclei concentrations from CALIPSO lidar measurements”, Atmos. Meas. Tech., 15, 639-654, https://doi.org/10.5194/amt-15-639-2022.
     
  23. Cui, Z., A. Blyth, Y. Huang, G. Lloyd, T. Choularton, K. Bower, P. Field, R. Hawker and L. Bennett, 2022: “Multi-thermals and high concentrations of secondary ice: a modelling study of convective clouds during the Ice in Clouds Experiment - Dust (ICE-D) campaign”, Atmos. Chem. Phys., 22, 1649-1667, https://doi.org/10.5194/acp-22-1649-2022.
     
  24. Dahal, S., D. Rupakheti, R. K. Sharma, B. K. Bhattarai and B. Adhikary, 2022: “Aerosols over the Foothills of the Eastern Himalayan Region during Post-monsoon and Winter Seasons”, Aerosol Air Qual. Res., 22, 210152, https://doi.org/10.4209/aaqr.210152.
     
  25. Dementeva, A., G. Zhamsueva, A. Zayakhanov and V. Tcydypov, 2022: “Interannual and Seasonal Variation of Optical and Microphysical Properties of Aerosol in the Baikal Region”, Atmosphere, 13, 211, https://doi.org/10.3390/atmos13020211.
     
  26. Dong, Q., Z. Huang, W. Li, Z. Li, X. Song, W. Liu, T. Wang, J. Bi and J. Shi, 2022: “Polarization Lidar Measurements of Dust Optical Properties at the Junction of the Taklimakan Desert-Tibetan Plateau”, Remote Sens., 14, 558, https://doi.org/10.3390/rs14030558.
     
  27. Dumka, U. C., P. G. Kosmopoulos, P. N. Patel and R. Sheoran, 2022: “Can Forest Fires Be an Important Factor in the Reduction in Solar Power Production in India?”, Remote Sens., 14, 549, https://doi.org/10.3390/rs14030549.
     
  28. Ehlers, F., T. Flament, A. Dabas, D. Trapon, A. Lacour, H. Baars and A. G. Straume-Lindner, 2022: “Optimization of Aeolus Optical Properties Products by Maximum-Likelihood Estimation”, Atmos. Meas. Tech., 15, 185-203, https://doi.org/10.5194/amt-15-185-2022.
     
  29. El Amraoui, L., M. Plu, V. Guidard, F. Cornut and M. Bacles, 2022: “A Pre-Operational System Based on the Assimilation of MODIS Aerosol Optical Depth in the MOCAGE Chemical Transport Model”, Remote Sens., 14, 1949, https://doi.org/10.3390/rs14081949.
     
  30. Engdahl, B. J. K., T. Carlsen, M. Køltzow and T. Storelvmo, 2022: “The ability of the ICE-T microphysics scheme in HARMONIE-AROME to predict aircraft icing”, Wea. Forecasting, 37, 205-217, https://doi.org/10.1175/WAF-D-21-0104.1.
     
  31. Escribano, J., E. Di Tomaso, O. Jorba, M. Klose, M. Gonçalves Ageitos, F. Macchia, V. Amiridis, H. Baars, E. Marinou, E. Proestakis, C. Urbanneck, D. Althausen, J. Bühl, R.-E. Mamouri and C. Pérez García-Pando, 2022: “Assimilating spaceborne lidar dust extinction improves dust forecasts”, Atmos. Chem. Phys., 22, 535-560, https://doi.org/10.5194/acp-22-535-2022.
     
  32. Feofilov, A., H. Chepfer, V. Noel, R. Guzman, C. Gindre, P.-L. Ma and M. Chiriaco, 2022: “Comparison of scattering ratio profiles retrieved from ALADIN/Aeolus and CALIOP/CALIPSO observations and preliminary estimates of cloud fraction profiles”, Atmos. Meas. Tech., 15, 1055-1074, https://doi.org/10.5194/amt-15-1055-2022.
     
  33. Filonchyk, M., 2022: “Characteristics of the severe March 2021 Gobi Desert dust storm and its impact on air pollution in China”, Chemosphere, 287, 132219, https://doi.org/10.1016/j.chemosphere.2021.132219.
     
  34. Filonchyk, M. and M. Peterson, 2022: “Development, progression, and impact on urban air quality of the dust storm in Asia in March 15-18, 2021”, Urban Climate, 41, 101080, https://doi.org/10.1016/j.uclim.2021.101080.
     
  35. Filonchyk, M., M. P. Peterson and D. Sun, 2022: “Deterioration of air quality associated with the 2020 US wildfires”, Sci. Total Environ., 826, 154103, https://doi.org/10.1016/j.scitotenv.2022.154103.
     
  36. Fountoulakis, I., K. Papachristopoulou, E. Proestakis, V. Amiridis, C. Kontoes and S. Kazadzis, 2022: “Effect of Aerosol Vertical Distribution on the Modeling of Solar Radiation”, Remote Sens., 14, 1143, https://doi.org/10.3390/rs14051143.
     
  37. Francis, D., R. Fonseca, N. Nelli, D. Bozkurt, G. Picard and B. Guan, 2022: “Atmospheric rivers drive exceptional Saharan dust transport towards Europe”, Atmos. Res., 266, 105959, https://doi.org/10.1016/j.atmosres.2021.105959.
     
  38. Groot Zwaaftink, C. D., W. Aas, S. Eckhardt, N. Evangeliou, P. Hamer, M. Johnsrud, A. Kylling, S. M. Platt, K. Stebel, H. Uggerud and K. E. Yttri, 2022: “What caused a record high PM10 episode in northern Europe in October 2020?”, Atmos. Chem. Phys., 22, 3789-3810, https://doi.org/10.5194/acp-22-3789-2022.
     
  39. Gumber, S. and S. Ghosh, 2022: “Quick Predictions of Onset Times and Rain Amounts from Monsoon Showers over Urban Built Environments”, Atmosphere, 13, 370, https://doi.org/10.3390/atmos13030370.
     
  40. Gumber, S., S. Ghosh, S. Bera and T. V. Prabhakaran, 2022: “On the importance of non-ideal sulphate processing of multi-component aerosol haze over urban areas”, Meteorol. Atmos. Phys., 134, 37, https://doi.org/10.1007/s00703-022-00877-7.
     
  41. Guo, Z., T. Zhou, M. Wang, B. Yang and B. Wu, 2022: “The role of Tibetan summer low clouds in the simulation of the East Asian summer monsoon rain belt”, Int. J. Climatol., 42, 3025-3037, https://doi.org/10.1002/joc.7405.
     
  42. Gupta, G., M. V. Ratnam, B. L. Madhavan and C. S. Narayanamurthy, 2022: “Long-term trends in Aerosol Optical Depth obtained across the globe using multi-satellite measurements”, Atmos. Environ., 273, 118953, https://doi.org/10.1016/j.atmosenv.2022.118953.
     
  43. Han, X., B. Zhao, Y. Lin, Q. Chen, H. Shi, Z. Jiang, X. Fan, J. Wang, K.-N. Liou and Y. Gu, 2022: “Type-Dependent Impact of Aerosols on Precipitation associated with Deep Convective Cloud over East Asia”, J. Geophys. Res. Atmos., 127, e2021JD036127, https://doi.org/10.1029/2021JD036127.
     
  44. Han, Y., T. Wang, R. Tan, J. Tang, C. Wang, S. He, Y. Dong, Z. Huang and J. Bi, 2022: “CALIOP-Based Quantification of Central Asian Dust Transport”, Remote Sens., 14, 1416, https://doi.org/10.3390/rs14061416.
     
  45. Han, Y., T. Wang, J. Tang, C. Wang, B. Jian, Z. Huang and J. Huang, 2022: “New insights into the Asian dust cycle derived from CALIPSO lidar measurements”, Remote Sens. Environ., 272, 112906, https://doi.org/10.1016/j.rse.2022.112906.
     
  46. Haynes, J. M., Y.-J. Noh, S. D. Miller, K. D. Haynes, I. Ebert-Uphoff and A. Heidinger, 2022: “Low Cloud Detection in Multilayer Scenes using Satellite Imagery with Machine Learning Methods”, J. Atmos. Oceanic Technol., 39, 319-334, https://doi.org/10.1175/JTECH-D-21-0084.1.
     
  47. Höjgård-Olsen, E., H. Chepfer and H. Brogniez, 2022: “Satellite Observed Sensitivity of Tropical Clouds and Moisture to Sea Surface Temperature on Various Time and Space Scales. Part I: Focus on High Level Cloud Situations over Ocean”, J. Geophys. Res. Atmos., 127, e2021JD035438, https://doi.org/10.1029/2021JD035438.
     
  48. Höjgård-Olsen, E., H. Chepfer and H. Brogniez, 2022: “Satellite Observed Sensitivity of Tropical Clouds and Moisture to Sea Surface Temperature on Various Time and Space Scales. Part II: Focus on Marine Low Level Clouds”, J. Geophys. Res. Atmos., 127, e2021JD035402, https://doi.org/10.1029/2021JD035402.
     
  49. Hong Y. and L. Di Girolamo, 2022: “An overview of aerosol properties in clear and cloudy sky based on CALIPSO observations”, Earth and Space Science, 9, e2022EA002287, https://doi.org/10.1029/2022EA002287.
     
  50. Hu, Q., P. Goloub, I. Veselovskii and T. Podvin, 2022: “The characterization of long-range transported North American biomass burning plumes: what can a multi-wavelength Mie-Raman-polarization-fluorescence lidar provide?”, Atmos. Chem. Phys., 22, 5399-5414, https://doi.org/10.5194/acp-22-5399-2022.
     
  51. Ilić, L., A. Jovanović, M. Kuzmanoski, L. Lazić, F. Madonna, M. Rosoldi, M. Mytilinaios, E. Marinou and S. Ničković, 2022: “Mineralogy Sensitive Immersion Freezing Parameterization in DREAM”, J. Geophys. Res. Atmos., 127, e2021JD035093, https://doi.org/10.1029/2021JD035093.
     
  52. Ishimoto, H., M. Hayashi and Y. Mano, 2022: “Ash particle refractive index model for simulating the brightness temperature spectrum of volcanic ash clouds from satellite infrared sounder measurements”, Atmos. Meas. Tech., 15, 435-458, https://doi.org/10.5194/amt-15-435-2022.
     
  53. Ito, M. and H. Masunaga, 2022: “Process-Level Assessment of the Iris Effect Over Tropical Oceans”, Geophys. Res. Lett., 49, e2022GL097997, https://doi.org/10.1029/2022GL097997.
     
  54. Jing, F. and R. P. Singh, 2022: “Chapter 26 - The optical and microwave characteristics of dust storms over the Indo-Gangetic Plains”, in Asian Atmospheric Pollution, R. P. Singh, Ed., Elsevier, pp. 505-520, ISBN 9780128166932, https://doi.org/10.1016/B978-0-12-816693-2.00010-X.
     
  55. Kalesse-Los, H., W. Schimmel, E. Luke and P. Seifert, 2022: “Evaluating cloud liquid detection against Cloudnet using cloud radar Doppler spectra in a pre-trained artificial neural network”, Atmos. Meas. Tech., 15, 279-295, https://doi.org/10.5194/amt-15-279-2022.
     
  56. Kant, Y., P. Chauhan, A. Natwariya and D. Mitra, 2022: “Long term influence of groundwater preservation policy on stubble burning and air pollution over North-West India”, Sci. Rep., 12, 2090, https://doi.org/10.1038/s41598-022-06043-8.
     
  57. Khaykin, S., E. Moyer, M. Krämer, B. Clouser, S. Bucci, B. Legras, A. Lykov, A. Afchine, F. Cairo, I. Formanyuk, V. Mitev, R. Matthey, C. Rolf, C. Singer, N. Spelten, V. Volkov, V. Yushkov, and F. Stroh, 2022: “Persistence of moist plumes from overshooting convection in the Asian monsoon anticyclone”, Atmos. Chem. Phys., 22, 3169-3189, https://doi.org/10.5194/acp-22-3169-2022.
     
  58. Khanal, S., R. P. Pokhrel, B. Pokharel, S. Becker, B. Giri, L. Adhikari and M. D. LaPlante, 2022: “An episode of transboundary air pollution in the central Himalayas during agricultural residue burning season in North India”, Atmos. Pollut. Res., 13, 101270, https://doi.org/10.1016/j.apr.2021.101270.
     
  59. Kong, S. S.-K., S. K. Pani, S. M. Griffith, C.-F. Ou-Yang, S. R. Babu, M.-T. Chuang, M. C. G. Ooi, W.-S. Huang, G.-R. Sheu and N.-H. Lin, 2022: “Distinct transport mechanisms of East Asian dust and the impact on downwind marine and atmospheric environments”, Sci. Total Environ., 827, 154255, https://doi.org/10.1016/j.scitotenv.2022.154255.
     
  60. Koukouli, M.-E., K. Michailidis, P. Hedelt, I. A. Taylor, A. Inness, L. Clarisse, D. Balis, D. Efremenko, D. Loyola, R. G. Grainger and C. Retscher, 2021: “Volcanic SO2 Layer Height by TROPOMI/S5P; evaluation against IASI/MetOp and CALIOP/CALIPSO observations”, Atmos. Chem. Phys., 22, 5665-5683, https://doi.org/10.5194/acp-22-5665-2022.
     
  61. Lakshmi, N. B., E. A. Resmi and D. Padmalal, 2022: “Assessment of PM2.5 using satellite lidar observations: Effect of bio-mass burning emissions over India”, Sci. Total Environ., 833, 155215, https://doi.org/10.1016/j.scitotenv.2022.155215.
     
  62. Lawand, D., S. Bhakare, S. Fadnavis, R. L. Bhawar, P. R. C. Rahul, P. K. Pallath and S. Lolli, 2022: “Variability of Aerosols and Clouds Over North Indian and Myanmar During the COVID-19 Lockdown Period”, Front. Environ. Sci., 10, 838778, https://doi.org/10.3389/fenvs.2022.838778.
     
  63. Li, J., W.-L. Lee, K.-M. Xu, J. H. Jiang, Y.-H. Wang, E. Fetzer, G. Stephens, J.-Y. Yu and Y. Liu, 2022: “Observational evaluation of global climate model simulations of arctic sea ice and adjacent land pertaining to the radiative effects of frozen hydrometeors”, Environ. Res. Commun., 4, 025008, https://doi.org/10.1088/2515-7620/ac556b.
     
  64. Li, L., H. Che, X. Zhang, C. Chen, X. Chen, K. Gui, Y. Liang, F. Wang, Y. Derimian, D. Fuertes, O. Dubovik, Y. Zheng, L. Zhang, B. Guo, Y. Wang and X. Zhang, 2022: “A satellite-measured view of aerosol component content and optical property in a haze-polluted case over North China Plain”, Atmos. Res., 266, 105958, https://doi.org/10.1016/j.atmosres.2021.105958.
     
  65. Li, M., L. Bi, W. Lin, F. Weng, S. He and X. Zhang, 2022: “The Inhomogeneity Effect of Sea Salt Aerosols on the TOA Polarized Radiance at the Scattering Angles Ranging From 170° to 175°”, IEEE Trans. Geosci. Remote Sens., 60, 4102912, https://doi.org/10.1109/TGRS.2021.3099026.
     
  66. Li, W., F. Zhang, H. Lin, X. Chen, J. Li and W. Han, 2022: “Cloud detection and classification algorithms for Himawari-8 imager measurements based on deep learning”, IEEE Trans. Geosci. Remote Sens., 60, 4107117, https://doi.org/10.1109/TGRS.2022.3153129.
     
  67. Liang, P., B. Chen, X. Yang, Q. Liu, A. Li, L. Mackenzie and D. Zhang, 2022: “Revealing the dust transport processes of the 2021 mega dust storm event in northern China”, Sci. Bull., 67, 21-24, https://doi.org/10.1016/j.scib.2021.08.014.
     
  68. Lima, C. B., S. V. S. Sai Krishna, S. Verma, S. S. Prijith and M. V. Ramana, 2022: “Satellite-derived aerosol-cloud relationships under anthropogenic polluted conditions of Arabian Sea”, IEEE Trans. Geosci. Remote Sens., 60, 4105607, https://doi.org/10.1109/TGRS.2021.3137089.
     
  69. Lin, H., Z. Li, J. Li, F. Zhang, M. Min and W. P. Menzel, 2022: “Estimate of daytime single-layer cloud base height from advanced baseline imager measurements”, Remote Sens. Environ., 274, 112970, https://doi.org/10.1016/j.rse.2022.112970.
     
  70. Lin, Y., P. Tian, C. Tang, S. Pang and L. Zhang, 2022: “Combining CALIPSO and AERONET data to classify aerosols globally”, IEEE Trans. Geosci. Remote Sens., 60, 4105812, https://doi.org/10.1109/TGRS.2021.3138085.
     
  71. Liu, D., L. Wang, Y. Sun and S. Lian, 2022: “MRS-STFF: Evaluation of biomass energy combustion and associated pollutants”, Hum. Ecol. Risk Assess., 28, 222-242, https://doi.org/10.1080/10807039.2022.2038081.
     
  72. Liu, Q., 2022: “Understanding climate feedbacks with idealized models”, Ph.D. Thesis, Department of Mathematics, University of Exeter, 190 pp. [see http://hdl.handle.net/10871/128290].
     
  73. Lopes, F. J. d. S., S. A. Carvalho, F. Catalani, J. J. da Silva, R. M. de Almeida, F. d. J. Ribeiro, C. E. Fellows, E. Landulfo, C. R. Menegatti and C. J. T. Peixoto, 2022: “First Lidar Campaign in the Industrial Sites of Volta Redonda-RJ and Lorena-SP, Brazil”, Remote Sens., 14, 1675, https://doi.org/10.3390/rs14071675.
     
  74. Lu, H., M. Xie, X. Liu, B. Liu, C. Liu, X. Zhao, Q. Du, Z. Wu, Y. Gao and L. Xu, 2022: “Spatial-temporal characteristics of particulate matters and different formation mechanisms of four typical haze cases in a mountain city”, Atmos. Environ., 269, 118868, https://doi.org/10.1016/j.atmosenv.2021.118868.
     
  75. Lu, W., S. Yang, W. Zhu, X. Li, S. Cui, T. Luo, L. Han and J. Shi, 2022: “Evaluation of high cloud product of ECMWF over South China Sea using CALIOP”, Earth and Space Science, 9, e2021EA002113, https://doi.org/10.1029/2021EA002113.
     
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  153. Zhang, Z., B. Su, Y. Chen, J. Lan, M. Bilal, M. Pan, S. Ilyas and K. M. Khedher, 2022: “Study on Vertically Distributed Aerosol Optical Characteristics over Saudi Arabia Using CALIPSO Satellite Data”, Applied Sciences, 12, 603, https://doi.org/10.3390/app12020603.
     
  154. Zhao, Y., Y. Wang, C. Liang, J. Wang, J. Fang and M. Zhou, 2022: “Study of Mixed Pollution of Haze and Dust in Jinan Based on LiDAR”, Photonics, 9, 144, https://doi.org/10.3390/photonics9030144.
     
  155. Zheng, J., Z. Zhang, A. Garnier, H. Yu, Q. Song, C. Wang, P. Dubuisson and C. Di Biagio, 2022: “The thermal infrared optical depth of mineral dust retrieved from integrated CALIOP and IIR observations”, Remote Sens. Environ., 270, 112841, https://doi.org/10.1016/j.rse.2021.112841.
     
  156. Zheng, X., Y. Yang, Y. Yuan, Y. Cao and J. Gao, 2022: “Comparison of Macro- and Microphysical Properties in Precipitating and Non-Precipitating Clouds over Central-Eastern China during Warm Season”, Remote Sens., 14, 152, https://doi.org/10.3390/rs14010152.
     
  157. Zhou, C., Y. Liu, Q. Zhu, Q. He, T. Zhao, F. Yang, W. Huo, X. Yang and A. Mamtimin, 2022: “In situ observation of warm atmospheric layer and the heat contribution of suspended dust over the Tarim Basin”, Atmos. Chem. Phys., 22, 5195-5207, https://doi.org/10.5194/acp-22-5195-2022.
     
  158. Zhou, G., J. Wang, Y. Yan, X. Hu, H. Letu, B.-J. Sohn, Y. L. Yung and C. Liu, 2022: “Detecting supercooled water clouds using passive radiometer measurements”, Geophys. Res. Lett., 49, e2021GL096111, https://doi.org/10.1029/2021GL096111.
     
  159. Zhu, J., B. L. Otto-Bliesner, E. C. Brady, A. Gettelman, J. T. Bacmeister, R. B. Neale, C. J. Poulsen, J. K. Shaw, Z. S. McGraw and J. E. Kay, 2022: “LGM paleoclimate constraints inform cloud parameterizations and equilibrium climate sensitivity in CESM2”, JAMES, 14, e2021MS002776, https://doi.org/10.1029/2021MS002776.
     
  160. Zhu, J., J. E. Penner, A. Garnier, O. Boucher, M. Gao, L. Song, J. Deng, C. Liu and P. Fu, 2022: “Decreased aviation leads to increased ice crystal number and a positive radiative effect in cirrus clouds”, AGU Advances, 3, e2021AV000546, https://doi.org/10.1029/2021AV000546.
     
  161. Zipfel, L., H. Andersen and J. Cermak, 2022: “Machine-Learning Based Analysis of Liquid Water Path Adjustments to Aerosol Perturbations in Marine Boundary Layer Clouds Using Satellite Observations”, Atmosphere, 13, 586, https://doi.org/10.3390/atmos13040586.
     

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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. Ajoku, O. F., A. J. Miller and J. R. Norris, 2021: “Impacts of aerosols produced by biomass burning on the stratocumulus-to-cumulus transition in the equatorial Atlantic”, Atmos. Sci. Lett., 22, e1025, https://doi.org/10.1002/asl.1025.
     
  3. Albern, N. B. S., 2021: “The radiative impact of clouds on the response of the midlatitude circulation to global warming”, Ph.D. Thesis, Faculty of Physics, Karlsruhe Institute of Technology, 148 pp. [see https://publikationen.bibliothek.kit.edu/1000129873].
     
  4. Aldhaif, A. M., D. H. Lopez, H. Dadashazar, D. Painemal, A. J. Peters and A. Sorooshian, 2021: “An Aerosol Climatology and Implications for Clouds at a Remote Marine Site: Case Study over Bermuda”, J. Geophys. Res. Atmos., 126, e2020JD034038, https://doi.org/10.1029/2020JD034038.
     
  5. 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.
     
  6. Alekseeva, M. N. and I. G. Yashchenko, 2021: “Risk of Environmental Impact When Flaring Associated Petroleum Gas”, Optics of the Atmosphere and Ocean, 34, 466-470, https://doi.org/10.15372/AOO20210614 (in Russian).
    Alekseeva, M. N. and I. G. Yashchenko, 2021: “The Risk of an Environmental Impact from Flaring Associated Petroleum Gas”, Atmospheric and Oceanic Optics, 34, 428-432, https://doi.org/10.1134/S102485602105002X.
     
  7. Alexandri, G., A. K. Georgoulias and D. Balis, 2021: “Effect of Aerosols, Tropospheric NO2 and Clouds on Surface Solar Radiation over the Eastern Mediterranean (Greece)”, Remote Sens., 13, 2587, https://doi.org/10.3390/rs13132587.
     
  8. Ali, G., Y. Bao, B. Asmerom, W. Ullah, S. Ullah and M. Arshad, 2021: “Assessment of the simulated aerosol optical properties and regional meteorology using WRF-Chem model”, Arab. J. Geosci., 14, 1871, https://doi.org/10.1007/s12517-021-08238-1.
     
  9. Ananthavel, A., S. K. Mehta, T. V. R. Reddy, S. Ali and D. N. Rao, 2021: “Vertical distributions and columnar properties of the aerosols during different seasons over Kattankulathur (12.82°N, 80.04°E): A semi-urban tropical coastal station”, Atmos. Environ., 256, 118457, https://doi.org/10.1016/j.atmosenv.2021.118457.
     
  10. Andreev, A. I. and Y. A. Shamilova, 2021: “Cloud Detection from the Himawari-8 Satellite Data Using a Convolutional Neural Network”, Izv. Atmos. Ocean Phy., 57, 1162-1170, https://doi.org/10.1134/S0001433821090401.
     
  11. Ansmann. A., K. Ohneiser, A. Chudnovsky, H. Baars and R. Engelmann, 2021: “CALIPSO Aerosol-Typing Scheme Misclassified Stratospheric Fire Smoke: Case Study From the 2019 Siberian Wildfire Season”, Front. Environ. Sci., 9:769852, https://doi.org/10.3389/fenvs.2021.769852.
     
  12. Ansmann, A., K. Ohneiser, R.-E. Mamouri, D, A. Knopf, I. Veselovskii, H. Baars, R. Engelmann, A. Foth, C. Jimenez, P. Seifert and B. Barja, 2021: “Tropospheric and stratospheric wildfire smoke profiling with lidar: Mass, surface area, CCN and INP retrieval”, Atmos. Chem. Phys., 21, 9779-9807, https://doi.org/10.5194/acp-21-9779-2021.
     
  13. 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.
     
  14. Aravindhavel, A., S. K. Mehta, S. Ali, T. V. R. Reddy, V. Annamali and D. N. Rao, 2021: “Micro Pulse Lidar measurements in coincidence with CALIPSO overpasses: Comparison of tropospheric aerosols over Kattankulathur (12.82°N, 80.04°E)”, Atmos. Pollut. Res., 12, 101082, https://doi.org/10.1016/j.apr.2021.101082.
     
  15. 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.
     
  16. Bai, J., A. Heikkilä and X. Zong, 2021: “Long-Term Variations of Global Solar Radiation and Atmospheric Constituents at Sodankylä in the Arctic”, Atmosphere, 12, 749, https://doi.org/10.3390/atmos12060749.
     
  17. Balmes, K. A., 2021: “The Aerosol Direct Radiative Effect at the ARM SGP and TWP Sites”, Ph.D. Thesis, Department of Atmospheric Sciences, University of Washington, 127+ pp. [see http://hdl.handle.net/1773/47327].
     
  18. Balmes, K. A., Q. Fu and T. J. Thorsen, 2021: “The diurnal variation of the aerosol optical depth at the ARM SGP site”, Earth and Space Science, 8, e2021EA001852, https://doi.org/10.1029/2021EA001852.
     
  19. 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.
     
  20. Baró Pérez, A., A. Devasthale, F. Bender and A. M. L. Ekman, 2021: “Impact of smoke and non-smoke aerosols on radiation and low-level clouds over the southeast Atlantic from co-located satellite observations”, Atmos. Chem. Phys., 21, 6053-6077, https://doi.org/10.5194/acp-21-6053-2021.
     
  21. Basha, G., M. V. Ratnam, J. H. Jiang, P. Kishore and S. R. Babu, 2021: “Influence of Indian Summer Monsoon on Tropopause, Trace Gases and Aerosols in Asian Summer Monsoon Anticyclone Observed by COSMIC, MLS and CALIPSO”, Remote Sens., 13, 3486, https://doi.org/10.3390/rs13173486.
     
  22. Bayat, F. and H. R. Khalesifard, 2021: “Characterization of released dust over open waters in the south of the Iran Plateau based on satellite and ground-based measurements”, Atmos. Pollut. Res., 12, 101208, https://doi.org/10.1016/j.apr.2021.101208.
     
  23. Bègue, N, H. Bencherif, F. Jégou, H. Vérèmes, S. Khaykin, G. Krysztofiak, T. Portafaix, V. Duflot, A. Baron, G. Berthet, C. Kloss, G. Payen, P. Keckhut, P.-F. Coheur, C. Clerbaux, D. Smale, J. Robinson, R. Querel and P. Smale, 2021: “Transport and Variability of Tropospheric Ozone over Oceania and Southern Pacific during the 2019-20 Australian Bushfires”, Remote Sensing, 13, 3092, https://doi.org/10.3390/rs13163092.
     
  24. Berndt, E. B., N. J. Elmer, R. A. Junod, K. K. Fuell, S. S. Harkema, A. Burke and C. Feemster, 2021: “A Machine Learning Approach to Objective Identification of Dust in Satellite Imagery”, Earth and Space Science, 8, e2021EA001788, https://doi.org/10.1029/2021EA001788.
     
  25. Bhatta, S., 2021: “High-Altitude Cloud/Aerosol Detection from SAGE III-ISS and Comparison with OMPS/CALIPSO”, Ph.D. Thesis, Department of Atmospheric Sciences, Hampton University [see https://www.proquest.com/openview/7426e8cc4a42abd0dd3548730058e454].
     
  26. Bhawar, R. L., S. Fadnavis, V. Kumar, P. R. C. Rahul, T. Sinha and S. Lolli, 2021: “Radiative Impacts of Aerosols During COVID-19 Lockdown Period Over the Indian Region”, Front. Environ. Sci., 9, 746090, https://doi.org/10.3389/fenvs.2021.746090.
     
  27. 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.
     
  28. Bisson, K., E. Boss, P. J. Werdell, A. Ibrahim, R. Frouin and M. J. Behrenfeld, 2021: “Seasonal bias in global ocean color observations”, Appl. Opt., 60, 6978-6988, https://doi.org/10.1364/AO.426137.
     
  29. Blanchard, Y., J. Pelon, C. J. Cox, J Delanoë, E. W. Eloranta and T. Uttal, 2021: “Comparison of TOA and BOA LW Radiation Fluxes Inferred From Ground-Based Sensors, A-Train Satellite Observations and ERA Reanalyzes at the High Arctic Station Eureka Over the 2002-2020 Period”, J. Geophys. Res. Atmos., 126, e2020JD033615, https://doi.org/10.1029/2020JD033615.
     
  30. Bogenschutz, P. A., T. Yamaguchi and H.-H. Lee, 2021: “The Energy Exascale Earth System Model Simulations with High Vertical Resolution in the Lower Troposphere”, JAMES, 13, e2020MS002239, https://doi.org/10.1029/2020MS002239.
     
  31. 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.
     
  32. Boudala, F. S. and J. A. Milbrandt, 2021: “Evaluations of the Climatologies of Three Latest Cloud Satellite Products Based on Passive Sensors (ISCCP-H, Two CERES) against the CALIPSO-GOCCP”, Remote Sens., 13, 5150, https://doi.org/10.3390/rs13245150.
     
  33. Bouzid, M. Y., 2021: “Scientific contribution to the study and development of an instrument dedicated to the observation of the Arctic atmosphere in the far infrared”, Ph.D. Thesis, Department of Environmental Sciences, University of Quebec at Montreal, 321 pp. [see https://archipel.uqam.ca/14767/].
     
  34. Brakhasi, F., M. Hajeb, T. Mielonen, A. Matkan and J. Verbesselt, 2021: “Investigating aerosol vertical distribution using CALIPSO time series over the Middle East and North Africa (MENA), Europe, and India: A BFAST-based gradual and abrupt change detection”, Remote Sens. Environ., 264, 112619, https://doi.org/10.1016/j.rse.2021.112619.
     
  35. Breen, K. H., D. Barahona, T. Yuan, H. Bian and S. C. James, 2021: “Effect of volcanic emissions on clouds during the 2008 and 2018 Kilauea degassing events”, Atmos. Chem. Phys., 21, 7749-7771, https://doi.org/10.5194/acp-21-7749-2021.
     
  36. Brodowsky, C. V., T. Sukhodolov, A. Feinberg, M. Höpfner, T. Peter, A. Stenke and E. Rozanov, 2021: “Modeling the Sulfate Aerosol Evolution after Recent Moderate Volcanic Activity, 2008-2012”, J. Geophys. Res. Atmos., 126, e2021JD035472, https://doi.org/10.1029/2021JD035472.
     
  37. Brunner, C., B. T. Brem, M. Collaud Coen, F. Conen, M. Hervo, S. Henne, M. Steinbacher, M. Gysel-Beer and Z. A. Kanji, 2021: “The contribution of Saharan dust to the ice nucleating particle concentrations at the High Altitude Station Jungfraujoch (3580 m a.s.l.), Switzerland”, Atmos. Chem. Phys., 21, 18029-18053, https://doi.org/10.5194/acp-21-18029-2021.
     
  38. 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.
     
  39. 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.
     
  40. 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.
     
  41. Cesana, G. V., A. S. Ackerman, A. M. Fridlind, I. Silber and M. Kelley, 2021: “Snow reconciles observed and simulated phase partitioning and increases cloud feedback”, Geophys. Res. Lett., 48, e2021GL094876, https://doi.org/10.1029/2021GL094876.
     
  42. 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.
     
  43. Chand, B., J. C. Kuniyal, P. K. Thakur, M. K. V. Jishtu, D. K. Tripathi and A. Deep, 2021: “Assessment of Ambient Air Quality and its Sources Around Hydropower Projects Using Hysplit Model and Air Quality Index in Alaknanda Basin, Garhwal Himalaya, India”, Poll. Res., 40, 961-968 [see http://www.envirobiotechjournals.com/article_abstract.php?aid=11715&iid=336&jid=4].
     
  44. Chang, C.-W., W.-T. Chen and Y.-C. Chen, 2021: “Susceptibility of East Asian Marine Warm Clouds to Aerosols in Winter and Spring from Co-Located A-Train Satellite Observations”, Remote Sens., 13, 5179, https://doi.org/10.3390/rs13245179.
     
  45. Chen, B., Y. Huang, J. Huang, L. Dong, X. Guan, J. Ge and Z. Hu, 2021: “Using Lidar and Historical Similar Meteorological Fields to Evaluate the Impact of Anthropogenic Control on Dust Weather During COVID-19”, Front. Environ. Sci., 9:806094, https://doi.org/10.3389/fenvs.2021.806094.
     
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  47. 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.
     
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  50. Cheng, Y., T. Dai, D. Goto, H. Murakami, M. Yoshida, G. Shi and T. Nakajima 2021: “Enhanced Simulation of an Asian Dust Storm by Assimilating GCOM-C Observations”, Remote Sens., 13, 3020, https://doi.org/10.3390/rs13153020.
     
  51. Cheremisin, A. A., V. N. Marichev, D. A. Bochkovsky, P. V. Novikov and I. I. Romanchenko, 2021: “Stratospheric Aerosol of Siberian Forest Fires According to Lidar Observations in Tomsk in August 2019”, Optics of the Atmosphere and Ocean, 34, 898-905, https://doi.org/10.15372/AOO20211110 (in Russian).
     
  52. Chhabra, A., T. Turakhia and P. Chauhan, 2021: “Impacts of a Mesoscale Dust Storm on Aerosols Characteristics, Optical and Radiative Properties Over a Semiarid Region, Western India”, J. Indian Soc. Remote Sens., 49, 2133-2141, https://doi.org/10.1007/s12524-021-01313-w.
     
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  60. Dadashazar, H., D. Painemal, M. Alipanah, M. Brunke, S. Chellappan, A. F. Corral, E. Crosbie, S. Kirschler, H. Liu, R. Moore, C. Robinson, A. J. Scarino, M. Shook, K. Sinclair, K. L. Thornhill, C. Voigt, H. Wang, E. Winstead, X. Zeng, L. Ziemba, P. Zuidema and A. Sorooshian, 2021: “Cloud drop number concentrations over the western North Atlantic Ocean: seasonal cycle, aerosol interrelationships, and other influential factors”, Atmos. Chem. Phys., 21, 10499-10526, https://doi.org/10.5194/acp-21-10499-2021.
     
  61. Das, S., P. R. Colarco, L. D. Oman, G. Taha and O. Torres, 2021: “The long-term transport and radiative impacts of the 2017 British Columbia pyrocumulonimbus smoke aerosols in the stratosphere”, Atmos. Chem. Phys., 21, 12069-12090, https://doi.org/10.5194/acp-21-12069-2021.
     
  62. Dasarathy, S., J. Kar, J. Tackett, S. Rodier, X. Lu, M. Vaughan, T. Toth, C. Trepte, and J. Bowman, 2021: “Multi-year Seasonal Trends in Sea Ice, Chlorophyll Concentration, and Marine Aerosol Optical Depth in the Bellingshausen Sea”, J. Geophys. Res. Atmos., 126, e2021JD034737, https://doi.org/10.1029/2021JD034737.
     
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  383. Zhou, M., J. Wang, X. Chen, X. Xu, P. R. Colarco, S. D. Miller, J. S. Reid, S. Kondragunta, D. M. Giles and B. Holben, 2021: “Nighttime smoke aerosol optical depth over U.S. rural areas: First retrieval from VIIRS moonlight observations”, Remote Sens. Environ., 267, 112717, https://doi.org/10.1016/j.rse.2021.112717.
     
  384. Zhou, H. J., X. Liu, Q. Liu, Y. Chen, P. Liu, G. Huang, W. Jiang, Q. He, X. Yi and M. Luo, 2021: “Vertical distribution and potential sources of polluted aerosols over the hinterland of the Taklimakan Desert”, Acta Scientiae Circumstantiae, 41, 3725-3734, https://doi.org/10.13671/j.hkjxxb.2021.0134.
     
  385. Zou, L., L. Hoffmann, S. Griessbach, R. Spang and L. Wang, 2021: “Empirical evidence for deep convection being a major source of stratospheric ice clouds over North America”, Atmos. Chem. Phys., 21, 10457-10475, https://doi.org/10.5194/acp-21-10457-2021.
     

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Published in 2020
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  16. 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.
     
  17. 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.
     
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  22. 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.
     
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  26. 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.
     
  27. 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.
     
  28. 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.
     
  29. 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.
     
  30. 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.
     
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  34. 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.
     
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  37. 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.
     
  38. 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.
     
  39. 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.
     
  40. 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.
     
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  43. 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.
     
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  45. 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.
     
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  48. 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.
     
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  50. 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.
     
  51. 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.
     
  52. 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.
     
  53. Douglas, A., 2020: “The effects of aerosol-cloud interactions on warm cloud properties”, Ph.D. Thesis, Department of Atmospheric and Oceanic Sciences, University of Wisconsin-Madison, 184 pp. [see http://digital.library.wisc.edu/1793/82381].
     
  54. 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.
     
  55. 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.
     
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  312. 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.
     
  313. 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.
     
  314. 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.
     
  315. 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.
     
  316. 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.
     
  317. 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.
     
  318. 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.
     
  319. 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.
     
  320. 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.
     
  321. 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.
     
  322. 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.
     
  323. 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.
     
  324. 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.
     
  325. 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.
     
  326. 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.
     
  327. 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.
     
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  329. 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.
     
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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.
     
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  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.
     
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  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.
     
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  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].
     
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  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.
     
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  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.
     
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  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.
     
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  360. 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.
     
  361. 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.
     
  362. 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.
     
  363. 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.
     
  364. 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.
     
  365. 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.
     
  366. 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. 3. Ahn, E., 2018: “Observations of Microphysical Properties of Wintertime Low-altitude Clouds over the Southern Ocean”, Ph.D. Thesis, Department of Earth, Atmosphere and Environment, Monash University, 155 pp. [see https://doi.org/10.4225/03/5b1f41f0438af].
     
  4. 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.
     
  5. 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.
     
  6. 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.
     
  7. 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.
     
  8. 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.
     
  9. 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.
     
  10. 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.
     
  11. 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.
     
  12. 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.
     
  13. 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.
     
  14. 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].
     
  15. 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.
     
  16. 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.
     
  17. 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.
     
  18. 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.
     
  19. 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.
     
  20. 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.
     
  21. 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.
     
  22. 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.
     
  23. 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.
     
  24. 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.
     
  25. 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.
     
  26. 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.
     
  27. 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.
     
  28. 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.
     
  29. 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.
     
  30. 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.
     
  31. 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.
     
  32. 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.
     
  33. 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.
     
  34. 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.
     
  35. 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.
     
  36. 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.
     
  37. 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.
     
  38. 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.
     
  39. 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.
     
  40. 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/].
     
  41. 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.
     
  42. 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.
     
  43. 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.
     
  44. 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].
     
  45. 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.
     
  46. 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.
     
  47. 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].
     
  48. 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/].
     
  49. 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].
     
  50. 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.
     
  51. 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.
     
  52. 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.
     
  53. 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.
     
  54. 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.
     
  55. 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.
     
  56. 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.
     
  57. 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.
     
  58. 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.
     
  59. 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.
     
  60. 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].
     
  61. 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.
     
  62. 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.
     
  63. 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.
     
  64. 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.
     
  65. 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].
     
  66. 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.
     
  67. 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.
     
  68. 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.
     
  69. 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.
     
  70. 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.
     
  71. 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.
     
  72. 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.
     
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