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.

24

Publications

2.7K

Citations

85

Authors

38

Institutions

Publications per year

2017–2026

5

Variants

Spread-skill Correlation

Authors

85

  1. TN
    T. N. Palmer

    European Centre for Medium-Range Weather Forecasts, United Kingdom

    3 publications · 365 citations

    3

    h-index

  2. JS
    Jeffrey S. Whitaker

    NOAA Earth System Research Laboratory, United States

    3 publications · 264 citations

    3

    h-index

  3. TH
    Teddy Holt

    United States Naval Research Laboratory, United States

    2 publications · 42 citations

    2

    h-index

  4. AE
    Adrian E. Raftery

    University of Washington, United States

    2 publications · 1.3K citations

    2

    h-index

  5. CH
    Craig H. Bishop

    United States Naval Research Laboratory, United States

    2 publications · 42 citations

    2

    h-index

1–5 of 85

Venues

  1. Monthly Weather Review

    16 publications · 2.4K citations

    14

    h-index

  2. Weather and Forecasting

    2 publications · 107 citations

    2

    h-index

  3. Tropical Cyclone Research and Review

    1 publications · 25 citations

    1

    h-index

  4. 1

    h-index

  5. Tellus A Dynamic Meteorology and Oceanography

    1 publications · 22 citations

    1

    h-index

1–5