Extreme Event Verification

Extreme Event Verification is a specialized method within forecast verification that evaluates the accuracy and reliability of predictions for rare and high-impact meteorological phenomena by distinguishing performance on events that exceed predefined thresholds of severity or rarity.

10

Publications

674

Citations

37

Authors

36

Institutions

Publications per year

2017–2026

4

Authors

37

  1. PN
    Philippe Naveau

    Laboratoire des Sciences du Climat et de l'Environnement, France

    2 publications · 34 citations

    2

    h-index

  2. SG
    Shang Gao

    University of Oklahoma, United States

    1 publications · 58 citations

    1

    h-index

  3. PK
    Pierre‐Emmanuel Kirstetter

    NOAA National Severe Storms Laboratory, United States

    1 publications · 58 citations

    1

    h-index

  4. ZL
    Zhi Li

    University of Oklahoma, United States

    1 publications · 58 citations

    1

    h-index

  5. YW
    Yixin Wen

    University of Oklahoma, United States

    1 publications · 58 citations

    1

    h-index

1–5 of 37

Venues

  1. Weather and Forecasting

    2 publications · 107 citations

    2

    h-index

  2. Journal of Hydrology

    1 publications · 58 citations

    1

    h-index

  3. International Journal of Forecasting

    1 publications · 19 citations

    1

    h-index

  4. Journal of Applied Meteorology and Climatology

    JAMC · 1 publications · 10 citations

    1

    h-index

  5. Russian Meteorology and Hydrology

    1 publications · 15 citations

    1

    h-index

1–5