Probabilistic Weather Forecasting
Probabilistic Weather Forecasting is a forecasting methodology within meteorological science that, as a distinct approach under weather prediction, provides quantitative estimates of the likelihood of specific weather outcomes by characterizing uncertainty through probability distributions rather than deterministic single-value predictions.
403
Publications
28.6K
Citations
1.1K
Authors
413
Institutions
Publications per year
2017–2026
146
403
Using Bayesian Model Averaging to Calibrate Forecast Ensembles
Adrian E. Raftery, Tilmann Gneiting, Fadoua Balabdaoui et al. · Monthly Weather Review · 2005 · 2K citations · Full text
The THORPEX Interactive Grand Global Ensemble
Philippe Bougeault, Zoltán Tóth, Craig H. Bishop et al. · Bulletin of the American Meteorological Society · 2010 · 479 citations · Full text
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413

European Centre for Medium-Range Weather Forecasts
Reading, United Kingdom
19 h-index
33 publications
3.7K citations
University of Oklahoma
Norman, United States
16 h-index
60 publications
3.1K citations

NSF National Center for Atmospheric Research
Boulder, United States
16 h-index
35 publications
6.1K citations
University of Washington
Seattle, United States
15 h-index
43 publications
15K citations
Met Office
Exeter, United Kingdom
14 h-index
65 publications
4.6K citations
NOAA National Weather Service
Silver Spring, United States
12 h-index
25 publications
1.7K citations
NOAA National Severe Storms Laboratory
Norman, United States
11 h-index
40 publications
2.1K citations

Cooperative Institute for Mesoscale Meteorological Studies
Norman, United States
10 h-index
34 publications
1.7K citations
1–8 of 413
44 publications · 2.8K citations
29
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42 publications · 5.2K citations
27
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BAMS · 20 publications · 1.6K citations
16
h-index
15 publications · 841 citations
14
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10 publications · 865 citations
11
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