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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, (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,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  15. Chen, B. and D. Wu, 2022: “Arctic sea fog detection using CALIOP and MODIS”, Journal of Atmospheric and Environmental Optics, 17, 267-278, (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,
  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,
  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,
  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
  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,
  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,
  22. Choudhury, G. and M. Tesche, 2022: “Estimating cloud condensation nuclei concentrations from CALIPSO lidar measurements”, Atmos. Meas. Tech., 15, 639-654,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  53. Ito, M. and H. Masunaga, 2022: “Process-Level Assessment of the Iris Effect Over Tropical Oceans”, Geophys. Res. Lett., 49, e2022GL097997,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  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,
  72. Liu, Q., 2022: “Understanding climate feedbacks with idealized models”, Ph.D. Thesis, Department of Mathematics, University of Exeter, 190 pp. [see].
  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,
  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,
  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,
  76. Ma, P.-L., B. E. Harrop, V. E. Larson, R. Neale, A. Gettelman, H. Morrison, H. Wang, K. Zhang, S. A. Klein, M. D. Zelinka, Y. Zhang, Y. Qian, J.-H. Yoon, C. R. Jones, M. Huang, S.-L. Tai, B. Singh, P. A. Bogenschutz, X. Zheng, W. Lin, J. Quaas, H. Chepfer, M. A. Brunke, X. Zeng, J. Mülmenstädt, S. Hagos, Z. Zhang, H. Song, X. Liu, H. Wan, J. Wang, Q. Tang, P. M. Caldwell, J. Fan, L. K. Berg, J. D. Fast, M. A. Taylor, J.-C. Golaz, S. Xie, P. J. Rasch and L. R. Leung, 2022: “Better calibration of cloud parameterizations and subgrid effects increases the fidelity of the E3SM Atmosphere Model version 1”, Geosci. Model Dev., 15, 2881-2916,
  77. Maloney, C., B. Toon, C. Bardeen, P. Yu, K. Froyd, J. Kay and S. Woods, 2022: “The balance between heterogeneous and homogeneous nucleation of ice clouds using CAM5/CARMA”, J. Geophys. Res. Atmos., 127, e2021JD035540,
  78. Mao, F., X. Luo, J. Song, Z. Liang, W. Gong and W. Chen, 2022: “Simulation and retrieval for spaceborne aerosol and cloud high spectral resolution lidar of China”, Sci. China Earth Sci., 65, 570-583,
  79. Marey, H. S., J. R. Drummond, D. B. A. Jones, H. Worden, M. N. Deeter, J. Gille and D. Mao, 2022: “Analysis of improvements in MOPITT observational coverage over Canada”, Atmos. Meas. Tech., 15, 701-719,
  80. Marjani, S., M. Tesche, P. Bräuer, O. Sourdeval and J. Quaas, 2022: “Satellite Observations of the Impact of Individual Aircraft on Ice Crystal Number in Thin Cirrus Clouds”, Geophys. Res. Lett., 49, e2021GL096173,
  81. Martinsson, B. G., J. Friberg, O. S. Sandvik and M. K. Sporre, 2022: “Five-satellite-sensor study of the rapid decline of wildfire smoke in the stratosphere”, Atmos. Chem. Phys., 22, 3967-3984,
  82. Mereuţ&acaron;, A., N. Ajtai, A. T. Radovici, N. Papagiannopoulos, L. T. Deaconu, C. Botezan, H. I. Ștef&acaron;nie, D. Nicolae and A. Ozunu, 2022: “A novel method of identifying and analysing oil smoke plumes based on synergic satellite data”, Atmos. Chem. Phys., 22, 5071-5098, ttps://
  83. Miller, S. D., Y.-J. Noh, L. D. Grasso, C. J. Seaman, A. Ignatov, A. K. Heidinger, S. Nam, W. E. Line and B. Petrenko, 2022: “A Physical Basis for the Overstatement of Low Clouds at Night by Conventional Satellite Infrared-Based Imaging Radiometer Bi-Spectral Techniques”, Earth and Space Sciences, 9, e2021EA002137,
  84. Miyamoto, A., H. Nakamura, T. Miyasaka, Y. Kosaka, B. Taguchi and K. Nishii, 2022: “Maintenance mechanisms of the wintertime subtropical high over the South Indian Ocean”, J. Climate, 35, 2989-3005,
  85. Musial, J. P. and J. S. Bojanowski, 2022: “Comparison of the Novel Probabilistic Self-Optimizing Vectorized Earth Observation Retrieval Classifier with Common Machine Learning Algorithms”, Remote Sens., 14, 378,
  86. Nguyen, L. S. P., J. H.-W. Chang, S. M. Griffith, T. T. Hien, S. S.-K. Kong, H. N. Le, H.-Y. Huang, G.-R. Sheu and N.-H. Lin, 2022: “Trans-boundary air pollution in a Southeast Asian megacity: Case studies of the synoptic meteorological mechanisms and impacts on air quality”, Atmos. Pollut. Res., 13, 101366,
  87. Nugent, J. M., S. M. Turbeville, C. S. Bretherton, P. N. Blossey and T. P. Ackerman, 2022: “Tropical Cirrus in Global Storm-Resolving Models. Part I: Role of Deep Convection”, Earth and Space Science, 9, e2021EA001965,
  88. Osborne, M. J., J. de Leeuw, C. Witham, A. Schmidt, F. Beckett, N. Kristiansen, J. Buxmann, C. Saint, E. J. Welton, J. Fochesatto, A. R. Gomes, U. Bundke, A. Petzold, F. Marenco and J. Haywood, 2022: “The 2019 Raikoke volcanic eruption part 2: Particle phase dispersion and concurrent wildfire smoke emissions”, Atmos. Chem. Phys., 22, 2975-2997,
  89. Pan, H., J. Huang, K. R. Kumar, L. An and J. Zhang, 2022: “The CALIPSO retrieved spatiotemporal and vertical distributions of AOD and extinction coefficient for different aerosol types during 2007-2019: A recent perspective over global and regional scales”, Atmos. Environ., 274, 118986,
  90. Pandey, C. P. and P. S. Negi, 2022: “Characteristics of equivalent black carbon aerosols over Doon Valley in NW Indian Himalaya during COVID-19 lockdown 2020”, Environ. Monit. Assess., 194, 229,
  91. Pauli, E., J. Cermak and A. J. Teuling, 2022: “Enhanced Nighttime Fog and Low Stratus Occurrence Over the Landes Forest, France”, Geophys. Res. Lett., 49, e2021GL097058,
  92. Pouyaei, A., Y. Choi, J. Jung, S. Mousavinezhad, M. Momeni and C. H. Song, 2022: “Investigating the long-range transport of particulate matter in East Asia: Introducing a new Lagrangian diagnostic tool”, Atmos. Environ., 278, 119096,
  93. Prasad, P., G. Basha and M. V. Ratnam, 2022: “Is the atmospheric boundary layer altitude or the strong thermal inversions that control the vertical extent of aerosols?”, Sci. Total Environ., 802, 149758,
  94. Prijith, S. S. and M. V. R. Sesha Sai, 2022: “Enhancement in free-tropospheric aerosol loading over India”, Atmos. Environ., 276, 119035,
  95. Puķīte, J., C. Borger, S. Dörner, M. Gu and T. Wagner, 2022: “OClO as observed by TROPOMI: a comparison with meteorological parameters and PSC observations”, Atmos. Chem. Phys., 22, 245-272,
  96. Qin, K., Q. He, Y. Zhang, J. B. Cohen, P. Tiwari and S. Lolli, 2022: “Aloft Transport of Haze Aerosols to Xuzhou, Eastern China: Optical Properties, Sources, Type, and Components”, Remote Sens., 14, 1589,
  97. Qor-el-aine, A., A. Béres and G. Géczi, 2022: “Dust storm simulation over the Sahara Desert (Moroccan and Mauritanian regions) using HYSPLIT”, Atmos. Sci. Lett., 23, e1076,
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Published in 2021
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  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,
  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,
  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,
  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,
  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,
  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].
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  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,
  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,
  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,
  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,
  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,
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  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,
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  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,
  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].
  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,
  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,
  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,
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  347. Yang, S., Z. Wang, X. Huang, W. Wang, L. Sheng and Y. Zhou, 2021: “Meteorological feedback and eco-environmental impact of Asian dust: A simulation study”, Atmos. Environ., 253, 118350,
  348. Yang, X., J. Ge, X. Hu, M. Wang and Z. Han, 2021: “Cloud-Top Height Comparison from Multi-Satellite Sensors and Ground-Based Cloud Radar over SACOL Site”, Remote Sens., 13, 2715,
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  350. Yang, X., C. Zhao, Y. Yang, X. Yan and H. Fan, 2021: “Statistical aerosol properties associated with fire events from 2002 to 2019 and a case analysis in 2019 over Australia”, Atmos. Chem. Phys., 21, 3833-3853,
  351. Yang, Y., A. Anderson, D. Kiv, J. Germann, M. Fuchs, S. Palm and T. Wang, 2021: “Study of Antarctic blowing snow storms using MODIS and CALIOP observations with a machine learning model”, Earth and Space Science, 8, e2020EA001310,
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  356. Yin, X., S. Kang, B. de Foy, D. Rupakheti, M. Rupakheti, Z. Cong, X. Wan, G. Zhang and Q. Zhang, 2021: “Impacts of Indian summer monsoon and stratospheric intrusion on air pollutants in the inland Tibetan Plateau”, Geosci. Front., 12, 101255,
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  368. Zeng, X., J. Gong, X. Li and D. L. Wu, 2021: “Modeling the Radiative Effect on Microphysics in Cirrus Clouds against Satellite Observations”, J. Geophys. Res. Atmos., 126, e2020JD033923,
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  371. Zhang, J., Z. Sheng, Y. He, X. Zuo, B. Jin and M. He, 2021: “Analysis of the Impact of the 2019-20 Australian Bushfire Season on the Atmospheric Environment”, Front. Earth Sci., 9, 566891,
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Published in 2020
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Published in 2019
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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,
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  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,
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  318. Xie, X., 2 X. Zhang, Y. Wang, R. Lyu, G. Zhou, T. Cheng, Y. Liu, Y. Peng, Q. He, W. Gao, X. Li and Q. Zhang, 019: “Effects of Shipping-originated Aerosols on Physical Cloud Properties over Marine Areas near East China”, Aerosol Air. Qual. Res., 19, 1471-1482,
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  336. Yu, P., O. B. Toon, C. G. Bardeen, Y. Zhu, K. H. Rosenlof, R. W. Portmann, T. D. Thornberry, R.-S. Gao, S. M. Davis, E. T. Wolf, J. de Gouw, D. A. Peterson, M. D. Fromm and A. Robock, 2019: “Black carbon lofts wildfire smoke high into the stratosphere to form a persistent plume”, Science, 365, 587-590,
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  347. Zhang, C., X. Sun, R. Zhang, S. Zhao, W. Lu, Y. Liu and Z. Fan, 2019: “Impact of solar background radiation on the accuracy of wind observations of spaceborne Doppler wind lidars based on their orbits and optical parameters”, Opt. Express, 27, A936-A952,
  348. Zhang, G. J., X. Song and Y. Wang, 2019: “The double ITCZ syndrome in GCMs: A coupled feedback problem among convection, clouds, atmospheric and ocean circulations”, Atmos. Res., 229, 255-268,
  349. Zhang, J., S. L. Jaker, J. S. Reid, S. D. Miller, J. Solbrig and T. D. Toth, 2019: “Characterization and application of artificial light sources for nighttime aerosol optical depth retrievals using the VIIRS Day/Night Band”, Atmos. Meas. Tech., 12, 3209-3222,
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Published in 2018
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  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,
  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,
  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,
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  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,
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  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,
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  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,
  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,
  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,
  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,
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  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,
  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,
  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,
  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,
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  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,
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  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,
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  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,
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  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,
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