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

Authors

401

  1. TG
    Tilmann Gneiting

    University of Washington, United States

    7 publications · 8.5K citations

    7

    h-index

  2. FA
    François Anctil

    Université Laval, Canada

    5 publications · 246 citations

    5

    h-index

  3. GC
    G. Candille

    Centre National de la Recherche Scientifique, France

    4 publications · 561 citations

    4

    h-index

  4. ML
    Martin Leutbecher

    European Centre for Medium-Range Weather Forecasts, United Kingdom

    4 publications · 348 citations

    4

    h-index

  5. TM
    Thomas M. Hamill

    NOAA Earth System Research Laboratory, United States

    4 publications · 428 citations

    4

    h-index

1–5 of 401

Venues

  1. Monthly Weather Review

    20 publications · 2.4K citations

    18

    h-index

  2. 14

    h-index

  3. Hydrology and earth system sciences

    11 publications · 519 citations

    11

    h-index

  4. Weather and Forecasting

    6 publications · 1.8K citations

    6

    h-index

  5. IEEE Transactions on Sustainable Energy

    TSTE · 6 publications · 321 citations

    6

    h-index

1–5