Statistical Surge Analysis

Statistical Surge Analysis is a methodological framework within storm surge research that employs statistical techniques to model, predict, or assess surge characteristics by analyzing historical data, observational records, or simulated outputs, distinguishing itself from deterministic approaches through its reliance on probabilistic inference and empirical distributions.

15

Publications

686

Citations

47

Authors

37

Institutions

Publications per year

2017–2026

6

Authors

47

  1. KE
    Kerry Emanuel

    Massachusetts Institute of Technology, United States

    1 publications · 339 citations

    1

    h-index

  2. WC
    Won Chang

    University of Cincinnati, United States

    1 publications · 27 citations

    1

    h-index

  3. BC
    Baiyu Chen

    University of California, Berkeley, United States

    1 publications · 17 citations

    1

    h-index

  4. WN
    W Neugebauer

    General Electric (United States), United States

    1 publications · 10 citations

    1

    h-index

  5. GL
    Guilin Liu

    Ocean University of China, China

    1 publications · 17 citations

    1

    h-index

1–5 of 47

Venues

  1. Journal of Geophysical Research Atmospheres

    JGR · 2 publications · 391 citations

    2

    h-index

  2. Journal of Applied Meteorology and Climatology

    JAMC · 1 publications · 17 citations

    1

    h-index

  3. The Annals of Applied Statistics

    AOAS · 1 publications · 27 citations

    1

    h-index

  4. Natural hazards and earth system sciences

    1 publications · 71 citations

    1

    h-index

  5. 1

    h-index

1–5