Cloud Amount Prediction
Cloud Amount Prediction is a computational forecasting task in meteorology that estimates the fractional coverage of clouds in a given sky region over a specific time horizon, distinguishing it from related atmospheric predictions by focusing exclusively on the spatial extent and temporal dynamics of cloudiness.
99
Publications
9.4K
Citations
314
Authors
131
Institutions
Publications per year
2017–2026
8
Parents
99
1–5 of 99
314
3
h-index
3
h-index
3
h-index
3
h-index
3
h-index
1–5 of 314
131
Met Office
Exeter, United Kingdom
8 h-index
22 publications
2.6K citations

European Centre for Medium-Range Weather Forecasts
Reading, United Kingdom
7 h-index
8 publications
1.7K citations

NSF National Center for Atmospheric Research
Boulder, United States
6 h-index
9 publications
1.3K citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
20 publications
1K citations
NOAA National Weather Service
Silver Spring, United States
4 h-index
12 publications
2.5K citations
NOAA National Environmental Satellite Data and Information Service
Silver Spring, United States
3 h-index
5 publications
160 citations
University of Reading
Reading, United Kingdom
3 h-index
6 publications
329 citations

Scripps Institution of Oceanography
La Jolla, United States
3 h-index
6 publications
600 citations
1–8 of 131
13 publications · 2.6K citations
13
h-index
JGR · 10 publications · 754 citations
10
h-index
9 publications · 1.3K citations
9
h-index
9 publications · 400 citations
9
h-index
6 publications · 679 citations
6
h-index
1–5