Cloud Cover Data Assimilation
Cloud Cover Data Assimilation is a systematic methodology within atmospheric data integration that specifically incorporates observational cloud cover measurements into numerical weather prediction models to improve the accuracy of cloud field initialization and forecasting.
109
Publications
5.5K
Citations
369
Authors
125
Institutions
Publications per year
2017–2026
34
Parents
109
1–5 of 109
369
European Centre for Medium-Range Weather Forecasts, United Kingdom
6 publications · 183 citations
6
h-index
European Centre for Medium-Range Weather Forecasts, United Kingdom
6 publications · 644 citations
6
h-index
European Centre for Medium-Range Weather Forecasts, United Kingdom
5 publications · 589 citations
5
h-index
European Centre for Medium-Range Weather Forecasts, United Kingdom
5 publications · 517 citations
5
h-index
4
h-index
1–5 of 369
125

European Centre for Medium-Range Weather Forecasts
Reading, United Kingdom
19 h-index
64 publications
5K citations
Met Office
Exeter, United Kingdom
13 h-index
20 publications
2K citations

NSF National Center for Atmospheric Research
Boulder, United States
9 h-index
19 publications
799 citations
Colorado State University
Fort Collins, United States
9 h-index
19 publications
658 citations
Météo-France
Toulouse, France
7 h-index
24 publications
1.2K citations

Centre National de la Recherche Scientifique
Paris, France
7 h-index
26 publications
1.1K citations

China Meteorological Administration
Beijing, China
6 h-index
18 publications
707 citations
University of Oklahoma
Norman, United States
6 h-index
15 publications
493 citations
1–8 of 125
28 publications · 1.7K citations
21
h-index
21 publications · 1.1K citations
16
h-index
4 publications · 161 citations
4
h-index
JGR · 4 publications · 102 citations
4
h-index
4 publications · 131 citations
4
h-index
1–5