Extreme Event Detection

Extreme Event Detection is a methodological framework within climate and meteorological sciences that identifies rare and impactful atmospheric or climatic occurrences by distinguishing anomalous patterns in geophysical data from background variability according to statistically or physically justified thresholds.

170

Publications

13K

Citations

784

Authors

395

Institutions

Publications per year

2017–2026

81

Authors

784

  1. MD
    Miguel D. Mahecha

    Max Planck Institute for Biogeochemistry, Germany

    4 publications · 346 citations

    4

    h-index

  2. MW
    Michael Wehner

    Lawrence Berkeley National Laboratory, United States

    4 publications · 920 citations

    4

    h-index

  3. GC
    Gabriele C. Hegerl

    University of Edinburgh, United Kingdom

    3 publications · 502 citations

    3

    h-index

  4. RV
    Robert Vautard

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

    3 publications · 760 citations

    3

    h-index

  5. JZ
    Jakob Zscheischler

    Helmholtz Centre for Environmental Research, Germany

    3 publications · 910 citations

    3

    h-index

1–5 of 784

Venues

  1. Journal of Climate

    6 publications · 862 citations

    6

    h-index

  2. Bulletin of the American Meteorological Society

    BAMS · 4 publications · 1.5K citations

    4

    h-index

  3. Geophysical Research Letters

    4 publications · 260 citations

    4

    h-index

  4. Chaos Solitons & Fractals

    3 publications · 38 citations

    3

    h-index

  5. Atmospheric Research

    3 publications · 120 citations

    3

    h-index

1–5