Cloud Microphysical Retrievals
Cloud Microphysical Retrievals is a methodological framework in atmospheric remote sensing that infers the physical characteristics of cloud particles—such as size, phase, concentration, and shape—from measured radiative signals, distinguished by its reliance on the inversion of observed optical and multispectral data to derive microscale properties of clouds.
564
Publications
42.6K
Citations
1.7K
Authors
433
Institutions
Publications per year
2017–2026
115
Parents
564
Michael D. King, Yoram J. Kaufman, W. Paul Menzel et al. · IEEE Transactions on Geoscience and Remote Sensing · 1992 · 1.1K citations
Claudia J. Stubenrauch, William B. Rossow, Stefan Kinne et al. · Bulletin of the American Meteorological Society · 2013 · 709 citations · Full text
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NSF National Center for Atmospheric Research, United States
20 publications · 2.4K citations
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433

Langley Research Center
Hampton, United States
42 h-index
164 publications
27.9K citations
Goddard Space Flight Center
Greenbelt, United States
38 h-index
151 publications
16.8K citations
University of Wisconsin–Madison
Madison, United States
28 h-index
107 publications
19.9K citations
University of Utah
Salt Lake City, United States
27 h-index
63 publications
4.8K citations
University of Maryland, Baltimore County
Baltimore, United States
26 h-index
48 publications
5.7K citations

NSF National Center for Atmospheric Research
Boulder, United States
25 h-index
46 publications
5.4K citations
Science Systems and Applications (United States)
Lanham, United States
24 h-index
71 publications
13.1K citations

Centre National de la Recherche Scientifique
Paris, France
24 h-index
116 publications
9.6K citations
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JGR · 83 publications · 7.6K citations
46
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45 publications · 2.8K citations
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JAMC · 39 publications · 2.5K citations
26
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30 publications · 3.2K citations
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JGR · 35 publications · 1.5K citations
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