Cloud Dynamics Retrieval
Cloud Dynamics Retrieval is a methodological framework in cloud remote sensing that enables the systematic inference of temporal and spatial variations in cloud motion, vertical development, and internal circulatory patterns from remotely sensed observations by uniquely integrating multi-temporal imagery, physical cloud models, and motion tracking algorithms.
12
Publications
470
Citations
53
Authors
32
Institutions
Publications per year
2017–2026
5
Parents
12
Tobias Christoph Valentin Werner Riess, K. F. Boersma, Jasper van Vliet et al. · Atmospheric measurement techniques · 2022 · 58 citations · Full text
Daniele Casella, Giulia Panegrossi, Paolo Sanò et al. · IEEE Transactions on Geoscience and Remote Sensing · 2013 · 45 citations
1–5 of 12
53
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3
h-index
3
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2
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32
Center for Research on the Changing Earth System
Catonsville, United States
3 h-index
3 publications
94 citations
Institute of Atmospheric Sciences and Climate
Bologna, Italy
3 h-index
14 publications
447 citations
National Research Council
Rome, Italy
3 h-index
14 publications
447 citations
University of Wisconsin–Madison
Madison, United States
3 h-index
3 publications
94 citations
Earth System Science Interdisciplinary Center
College Park, United States
2 h-index
2 publications
64 citations

Stockholm University
Stockholm, Sweden
2 h-index
2 publications
60 citations

Beijing Normal University
Beijing, China
2 h-index
9 publications
521 citations
University of Maryland, Baltimore County
Baltimore, United States
2 h-index
2 publications
55 citations
1–8 of 32
3 publications · 98 citations
3
h-index
2 publications · 109 citations
2
h-index
1 publications · 43 citations
1
h-index
1 publications · 15 citations
1
h-index
1 publications · 52 citations
1
h-index
1–5