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CALIPSO PUBLICATIONS






Last Updated: October 7, 2020

The CALIPSO project is indebted to the staff of
the Floyd L. Thompson Technical Library. Their
expertise and diligence has been invaluable
in compiling this bibliography.
Publications Using CALIPSO Data
    Year       Publication Count  
in press 28
2020 244
2019 366
2018 341
2017 285
2016 265
2015 257
2014 251
2013 232
2012 214
2011 194
2010 166
2009 117
2008 66
2007 21
Total 3,047

Publications Using CALIPSO Data


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. 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.
     
  5. 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.
     
  6. 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.
     
  7. 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.
     
  8. 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.
     
  9. 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.
     
  10. 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.
     
  11. 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.
     
  12. 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.
     
  13. 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.
     
  14. 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.
     
  15. 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.
     
  16. 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.
     
  17. 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.
     
  18. 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.
     
  19. 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.
     
  20. 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.
     
  21. 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].
     
  22. 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.
     
  23. 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.
     
  24. 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.
     
  25. 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.
     
  26. 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.
     
  27. 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.
     
  28. 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].
     
  29. 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.
     
  30. 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.
     
  31. 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.
     
  32. 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.
     
  33. 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.
     
  34. 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.
     
  35. 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.
     
  36. 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.
     
  37. 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.
     
  38. 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.
     
  39. 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.
     
  40. 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.
     
  41. 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.
     
  42. 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.
     
  43. 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.
     
  44. 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.
     
  45. 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.
     
  46. Filioglou, M., 2020: “Atmospheric profiling using the lidar technique”, Ph.D. Thesis, Finnish Meteorological Institute, 86 pp. [see http://hdl.handle.net/10138/316033].
     
  47. 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.
     
  48. 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.
     
  49. 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.
     
  50. 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.
     
  51. 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.
     
  52. 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.
     
  53. 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.
     
  54. 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.
     
  55. 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.
     
  56. 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.
     
  57. 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.
     
  58. 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.
     
  59. 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.
     
  60. 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.
     
  61. 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].
     
  62. 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.
     
  63. 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.
     
  64. 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.
     
  65. 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.
     
  66. 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.
     
  67. 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.
     
  68. 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.
     
  69. 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.
     
  70. 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.
     
  71. 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.
     
  72. 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.
     
  73. 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.
     
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  234. 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.
     
  235. 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.
     
  236. 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.
     
  237. 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.
     
  238. 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.
     
  239. 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.
     
  240. 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.
     
  241. 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.
     
  242. 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.
     
  243. 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.
     
  244. 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.
     
  245. 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.
     
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  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].
     
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  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.
     
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  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.
     
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  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.
     
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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.
     
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  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].
     
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  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.
     
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  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.
     
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  212. 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.
     
  213. 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.
     
  214. 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.
     
  215. 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.
     
  216. 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.
     
  217. 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.
     
  218. 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.
     
  219. 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.
     
  220. 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.
     
  221. 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.
     
  222. 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].
     
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  224. 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.
     
  225. 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.
     
  226. 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.
     
  227. 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.
     
  228. 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.
     
  229. 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.
     
  230. 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.
     
  231. 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.
     
  232. 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].
     
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  234. 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].
     
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  236. 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.
     
  237. 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.
     
  238. 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.
     
  239. 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/].
     
  240. 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.
     
  241. 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.
     
  242. 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.
     
  243. 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.
     
  244. 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.
     
  245. 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.
     
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  247. 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.
     
  248. 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.
     
  249. 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].
     
  250. 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.
     
  251. 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.
     
  252. 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.
     
  253. 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.
     
  254. 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.
     
  255. 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.
     
  256. 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.
     
  257. 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.
     
  258. 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.
     
  259. 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.
     
  260. 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.
     
  261. 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.
     
  262. 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.
     
  263. 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].
     
  264. 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).
     
  265. 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.
     
  266. 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.
     
  267. 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.
     
  268. 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].
     
  269. 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.
     
  270. 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.
     
  271. 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.
     
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  273. 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.
     
  274. 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.
     
  275. 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.
     
  276. 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).
     
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  278. 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.
     
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  280. 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.
     
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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.
     
  5. Ancellet, G., J. Pelon, J. Totems, P. Chazette, A. Bazureau, M. Sicard, T. Di Iorio, F. Dulac and M. Mallet, 2016: “Long range transport and mixing of aerosol sources during the 2013 North American biomass burning episode: analysis of multiple lidar observations in the Western Mediterranean basin”, Atmos. Chem. Phys., 16, 4725-4742, https://doi.org/10.5194/acp-16-4725-2016.
     
  6. Atwell, A. C., 2016: “Analysis of the evolution of the Nabro eruption stratospheric aerosol using CALIPSO and a HYSPLIT trajectory model”, M.S. Thesis, Department of Atmospheric and Planetary Sciences, Hampton University, 77 pp. [see http://gradworks.umi.com/10/25/10254830.html].
     
  7. Barker, H. W., J. N. S. Cole, J. Li and K. von Salzen, 2016: “A parametrization of 3-D subgrid-scale clouds for conventional GCMs: Assessment using A-Train satellite data and solar radiative transfer characteristics”, J. Adv. Model. Earth Syst., 8, 566-597, https://doi.org/10.1002/2015MS000601.
     
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