Satellite-based Forecasting
Satellite-Based Forecasting is a forecasting methodology that utilizes orbital satellite data and remote sensing technologies as the primary input for analyzing and predicting atmospheric phenomena, distinguishing itself from other methods by its reliance on space-based observational platforms to monitor dynamic weather systems across scales.
333
Publications
16K
Citations
1.4K
Authors
482
Institutions
Publications per year
2017–2026
152
333
Theoretical Skill of Monte Carlo Forecasts
C. E. Leith · Monthly Weather Review · 1974 · 810 citations · Full text
Timothy L. Olander, Christopher S. Velden · Weather and Forecasting · 2007 · 301 citations
1–5 of 333
1.4K
NOAA Atlantic Oceanographic and Meteorological Laboratories, United States
7 publications · 238 citations
7
h-index
5
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5
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5
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4
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1–5 of 1.4K
482
Goddard Space Flight Center
Greenbelt, United States
16 h-index
59 publications
5.3K citations

Chinese Academy of Sciences
Beijing, China
14 h-index
32 publications
1.4K citations
University of Maryland, College Park
College Park, United States
13 h-index
21 publications
790 citations
National Oceanic and Atmospheric Administration
Washington, United States
13 h-index
31 publications
1.7K citations
NOAA National Environmental Satellite Data and Information Service
Silver Spring, United States
12 h-index
30 publications
1.8K citations
University of Wisconsin–Madison
Madison, United States
12 h-index
41 publications
1.9K citations

European Centre for Medium-Range Weather Forecasts
Reading, United Kingdom
12 h-index
69 publications
9.6K citations

China Meteorological Administration
Beijing, China
11 h-index
32 publications
2.7K citations
1–8 of 482
22 publications · 1.7K citations
18
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21 publications · 820 citations
17
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13 publications · 1.4K citations
14
h-index
12 publications · 1.1K citations
12
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BAMS · 13 publications · 1.2K citations
12
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1–5