Ensemble Model Output Statistics
Ensemble Model Output Statistics is a statistical post-processing method that corrects biases and refines probabilistic forecasts by calibrating the ensemble of numerical weather prediction models through a regression-based relationship between historical ensemble outputs and corresponding observations.
153
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11K
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530
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278
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2017–2026
55
Variants
Emos
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Thordis L. Thorarinsdottir, Tilmann Gneiting · Journal of the Royal Statistical Society Series A (Statistics in Society) · 2009 · 271 citations · Full text
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Cooperative Institute for Research in Environmental Sciences, United States
4 publications · 230 citations
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Heidelberg Institute for Theoretical Studies
Heidelberg, Germany
13 h-index
13 publications
740 citations
Karlsruhe Institute of Technology
Karlsruhe, Germany
11 h-index
28 publications
1.6K citations

NSF National Center for Atmospheric Research
Boulder, United States
9 h-index
31 publications
2.8K citations
Heidelberg University
Heidelberg, Germany
9 h-index
13 publications
1.5K citations

European Centre for Medium-Range Weather Forecasts
Reading, United Kingdom
8 h-index
19 publications
1.4K citations

University of Debrecen
Debrecen, Hungary
7 h-index
11 publications
456 citations

University of Pretoria
Pretoria, South Africa
6 h-index
8 publications
246 citations
NOAA Earth System Research Laboratory
Boulder, United States
6 h-index
12 publications
1.4K citations
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16 publications · 2.8K citations
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15 publications · 896 citations
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9 publications · 756 citations
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