Continuous Ranked Probability Score
The Continuous Ranked Probability Score is a probabilistic forecasting evaluation metric that quantifies the integral squared difference between the cumulative distribution function of a forecasted continuous variable and the empirical cumulative distribution function of the observed outcome, serving to assess the sharpness and calibration of ensemble-based uncertainty predictions.
149
Publications
18.4K
Citations
401
Authors
213
Institutions
Publications per year
2017–2026
87
149
1–5 of 149
401
7
h-index
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4
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European Centre for Medium-Range Weather Forecasts, United Kingdom
4 publications · 348 citations
4
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4
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1–5 of 401
213

European Centre for Medium-Range Weather Forecasts
Reading, United Kingdom
11 h-index
24 publications
2.5K citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
11 publications
1K citations

University of Exeter
Exeter, United Kingdom
6 h-index
7 publications
447 citations
Heidelberg Institute for Theoretical Studies
Heidelberg, Germany
6 h-index
9 publications
1.1K citations
Karlsruhe Institute of Technology
Karlsruhe, Germany
5 h-index
8 publications
743 citations
University of Zurich
Zurich, Switzerland
5 h-index
6 publications
831 citations
Joint Research Centre
Ispra, Italy
4 h-index
7 publications
608 citations

Université Laval
Québec, Canada
4 h-index
9 publications
437 citations
1–8 of 213
20 publications · 2.4K citations
18
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14 publications · 1.4K citations
14
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11 publications · 519 citations
11
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6 publications · 1.8K citations
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TSTE · 6 publications · 321 citations
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