Spread-skill Relationship
The Spread-Skill Relationship is a metric in ensemble forecasting that quantifies the correlation between the ensemble spread (representing forecast uncertainty) and the corresponding forecast skill (measuring the accuracy of the ensemble mean), thereby assessing the reliability of the ensemble in representing predictive uncertainty.
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2.7K
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85
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2017–2026
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Spread-skill Correlation
Parents
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Impact of Ensemble Size on Ensemble Prediction
Roberto Buizza, T. N. Palmer · Monthly Weather Review · 1998 · 206 citations
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European Centre for Medium-Range Weather Forecasts, United Kingdom
3 publications · 365 citations
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NOAA Earth System Research Laboratory, United States
3 publications · 264 citations
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NSF National Center for Atmospheric Research
Boulder, United States
4 h-index
5 publications
517 citations
NOAA Earth System Research Laboratory
Boulder, United States
4 h-index
17 publications
1.3K citations

United States Naval Research Laboratory
Washington, United States
3 h-index
12 publications
232 citations

European Centre for Medium-Range Weather Forecasts
Reading, United Kingdom
3 h-index
7 publications
817 citations
National Centre for Atmospheric Science
Leeds, United Kingdom
2 h-index
3 publications
199 citations
Met Office
Exeter, United Kingdom
2 h-index
3 publications
83 citations
University of Reading
Reading, United Kingdom
2 h-index
5 publications
133 citations
University of Colorado Boulder
Boulder, United States
2 h-index
4 publications
277 citations
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16 publications · 2.4K citations
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2 publications · 107 citations
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1 publications · 29 citations
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1 publications · 22 citations
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