Land Surface Parameterization
Land Surface Parameterization is a computational modeling framework that represents sub-grid-scale physical processes and interactions between the land surface and the atmosphere through empirically derived or simplified mathematical relationships, distinguishing it from explicit numerical resolution of those processes.
1.4K
Publications
149.4K
Citations
4.1K
Authors
1K
Institutions
Publications per year
2017–2026
401
1.4K
The Global Land Data Assimilation System
Matthew Rodell, Paul R. Houser, U. Jambor et al. · Bulletin of the American Meteorological Society · 2004 · 5.7K citations · Full text
Michael Ek, Kenneth E. Mitchell, Ying Lin et al. · Journal of Geophysical Research Atmospheres · 2003 · 3.3K citations · Full text
Guo‐Yue Niu, Zong‐Liang Yang, Kenneth E. Mitchell et al. · Journal of Geophysical Research Atmospheres · 2011 · 3.1K citations · Full text
1–5 of 1.4K
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NSF National Center for Atmospheric Research, United States
30 publications · 13.3K citations
27
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26
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1–5 of 4.1K
1K
Goddard Space Flight Center
Greenbelt, United States
57 h-index
257 publications
70K citations

Chinese Academy of Sciences
Beijing, China
50 h-index
362 publications
26.4K citations

Centre National de la Recherche Scientifique
Paris, France
50 h-index
401 publications
49.3K citations

NSF National Center for Atmospheric Research
Boulder, United States
47 h-index
180 publications
84.2K citations
University of Arizona
Tucson, United States
43 h-index
149 publications
26.7K citations
Météo-France
Toulouse, France
38 h-index
159 publications
22.6K citations
University of Maryland, College Park
College Park, United States
36 h-index
85 publications
48.8K citations

European Centre for Medium-Range Weather Forecasts
Reading, United Kingdom
35 h-index
151 publications
77.3K citations
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110 publications · 10.6K citations
51
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JGR · 89 publications · 16K citations
50
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59 publications · 12.5K citations
45
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72 publications · 8.5K citations
42
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58 publications · 4.2K citations
35
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1–5