Extreme Event Analysis

Extreme Event Analysis is a methodological framework within environmental data analysis that identifies, characterizes, and models rare and high-impact environmental occurrences by statistically distinguishing them from normal variability based on threshold exceedance and temporal-spacial anomaly patterns.

294

Publications

24.6K

Citations

966

Authors

540

Institutions

Publications per year

2017–2026

135

Authors

966

  1. PA
    Peter A. Stott

    Met Office, United Kingdom

    7 publications · 1.2K citations

    7

    h-index

  2. SC
    Stephanie C. Herring

    NOAA National Centers for Environmental Information, United States

    5 publications · 1.1K citations

    5

    h-index

  3. JZ
    Jakob Zscheischler

    Helmholtz Centre for Environmental Research, Germany

    5 publications · 987 citations

    5

    h-index

  4. GJ
    Geert Jan van Oldenborgh

    Royal Netherlands Meteorological Institute, Netherlands

    5 publications · 589 citations

    5

    h-index

  5. SP
    Sjoukje Philip

    Royal Netherlands Meteorological Institute, Netherlands

    4 publications · 462 citations

    4

    h-index

1–5 of 966

Venues

  1. Natural hazards and earth system sciences

    9 publications · 459 citations

    9

    h-index

  2. Journal of Hydrology

    7 publications · 611 citations

    7

    h-index

  3. Geophysical Research Letters

    7 publications · 530 citations

    7

    h-index

  4. Environmetrics

    7 publications · 260 citations

    7

    h-index

  5. Bulletin of the American Meteorological Society

    BAMS · 7 publications · 2.7K citations

    7

    h-index

1–5