Precipitation Verification

Precipitation Verification is a systematic methodology within forecast verification that specifically evaluates the accuracy of predicted precipitation events by quantifying the spatial, temporal, and intensity-based correspondence between forecasted and observed precipitation patterns.

315

Publications

19.7K

Citations

1.1K

Authors

394

Institutions

Publications per year

2017–2026

105

Authors

1.1K

  1. EE
    Elizabeth E. Ebert

    Bureau of Meteorology, Australia

    9 publications · 1.2K citations

    9

    h-index

  2. EG
    Eric Gilleland

    NSF National Center for Atmospheric Research, United States

    6 publications · 311 citations

    6

    h-index

  3. BG
    Barbara G. Brown

    NSF National Center for Atmospheric Research, United States

    6 publications · 1.1K citations

    6

    h-index

  4. NR
    Nigel Roberts

    Met Office, United Kingdom

    6 publications · 2K citations

    6

    h-index

  5. BA
    Brian A. Colle

    Stony Brook University, United States

    5 publications · 1.3K citations

    5

    h-index

1–5 of 1.1K

Venues

  1. Weather and Forecasting

    56 publications · 3.6K citations

    34

    h-index

  2. Journal of Hydrology

    29 publications · 1.8K citations

    24

    h-index

  3. Monthly Weather Review

    23 publications · 3.1K citations

    17

    h-index

  4. Atmospheric Research

    15 publications · 1.1K citations

    14

    h-index

  5. Climate Dynamics

    13 publications · 972 citations

    13

    h-index

1–5