Probabilistic Weather Forecasting

Probabilistic Weather Forecasting is a forecasting methodology within meteorological science that, as a distinct approach under weather prediction, provides quantitative estimates of the likelihood of specific weather outcomes by characterizing uncertainty through probability distributions rather than deterministic single-value predictions.

403

Publications

28.6K

Citations

1.1K

Authors

413

Institutions

Publications per year

2017–2026

146

Authors

1.1K

  1. AH
    Allan H. Murphy

    Oregon State University, United States

    18 publications · 1.5K citations

    15

    h-index

  2. TG
    Tilmann Gneiting

    University of Washington, United States

    14 publications · 5.4K citations

    13

    h-index

  3. AE
    Adrian E. Raftery

    University of Washington, United States

    11 publications · 4.9K citations

    11

    h-index

  4. RL
    Robert L. Winkler

    Duke University, United States

    9 publications · 1.2K citations

    9

    h-index

  5. DS
    Daniel S. Wilks

    Cornell University, United States

    8 publications · 287 citations

    8

    h-index

1–5 of 1.1K

Venues

  1. Weather and Forecasting

    44 publications · 2.8K citations

    29

    h-index

  2. Monthly Weather Review

    42 publications · 5.2K citations

    27

    h-index

  3. Bulletin of the American Meteorological Society

    BAMS · 20 publications · 1.6K citations

    16

    h-index

  4. Meteorological Applications

    15 publications · 841 citations

    14

    h-index

  5. 11

    h-index

1–5