Extreme Weather Analytics

Extreme Weather Analytics is a subfield of Climate Informatics that specifically involves the development and application of computational methods, models, and frameworks to detect, predict, and analyze rare and high-impact meteorological events, distinguishing it from broader climate analysis through its focus on the statistical extremes and anomalous patterns in weather data.

36

Publications

2.4K

Citations

156

Authors

91

Institutions

Publications per year

2017–2026

23

Authors

156

  1. TK
    Thorsten Kurth

    Lawrence Berkeley National Laboratory, United States

    3 publications · 177 citations

    3

    h-index

  2. EG
    Eric Gilleland

    NSF National Center for Atmospheric Research, United States

    3 publications · 67 citations

    3

    h-index

  3. WB
    W. Bhimji

    Lawrence Berkeley National Laboratory, United States

    2 publications · 81 citations

    2

    h-index

  4. DP
    Dalibor Petković

    University of Nis, Serbia

    2 publications · 263 citations

    2

    h-index

  5. ME
    Mikhail E. Smorkalov

    Intel (India), India

    2 publications · 81 citations

    2

    h-index

1–5 of 156

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 32 citations

    2

    h-index

  2. Environmental Modelling & Software

    2 publications · 101 citations

    2

    h-index

  3. Geoscientific model development

    2 publications · 132 citations

    2

    h-index

  4. Advances in Water Resources

    1 publications · 62 citations

    1

    h-index

  5. Procedia Computer Science

    1 publications · 65 citations

    1

    h-index

1–5