Probabilistic Forecast Verification

Probabilistic Forecast Verification is a formal methodology within forecast verification that assesses the accuracy, reliability, and skill of probabilistic forecasts by evaluating the correspondence between predicted probability distributions and observed outcomes.

100

Publications

12.7K

Citations

322

Authors

145

Institutions

Publications per year

2017–2026

23

Variants

Probabilistic Verification

Authors

322

  1. AH
    Allan H. Murphy

    Oregon State University, United States

    9 publications · 1.6K citations

    9

    h-index

  2. SJ
    Simon J. Mason

    Columbia University, United States

    6 publications · 621 citations

    6

    h-index

  3. DB
    David B. Stephenson

    University of Exeter, United Kingdom

    4 publications · 429 citations

    4

    h-index

  4. IT
    Ian T. Jolliffe

    University of Aberdeen, United Kingdom

    4 publications · 139 citations

    4

    h-index

  5. FP
    Florian Pappenberger

    European Centre for Medium-Range Weather Forecasts, United Kingdom

    4 publications · 276 citations

    4

    h-index

1–5 of 322

Venues

  1. Weather and Forecasting

    24 publications · 1.4K citations

    19

    h-index

  2. Monthly Weather Review

    16 publications · 6.7K citations

    16

    h-index

  3. 10

    h-index

  4. Meteorological Applications

    5 publications · 565 citations

    5

    h-index

  5. Hydrology and earth system sciences

    4 publications · 613 citations

    4

    h-index

1–5