Hail Severity Modeling

Hail Severity Modeling is a predictive analytics framework that quantifies the potential damage intensity of hail events within a given geographical area, distinguishing itself from related atmospheric models by specifically focusing on the estimation of hailstone size, kinetic energy, and associated insurance loss metrics for risk assessment and underwriting applications.

15

Publications

1K

Citations

59

Authors

31

Institutions

Publications per year

2017–2026

10

Authors

59

  1. JL
    José Luis Sánchez

    Universidad de León, Spain

    2 publications · 77 citations

    2

    h-index

  2. KW
    Kevin W. Thomas

    University of Oklahoma, United States

    2 publications · 342 citations

    2

    h-index

  3. CR
    Cameron R. Homeyer

    University of Oklahoma, United States

    2 publications · 100 citations

    2

    h-index

  4. JT
    John T. Allen

    Central Michigan University, United States

    2 publications · 205 citations

    2

    h-index

  5. AM
    Andrés Merino

    Universidad de León, Spain

    1 publications · 28 citations

    1

    h-index

1–5 of 59

Venues

  1. Monthly Weather Review

    2 publications · 66 citations

    2

    h-index

  2. Atmospheric Research

    2 publications · 77 citations

    2

    h-index

  3. Natural hazards and earth system sciences

    2 publications · 53 citations

    2

    h-index

  4. Meteorological Applications

    1 publications · 42 citations

    1

    h-index

  5. E-Journal of Severe Storms Meteorology

    EJSSM · 1 publications · 157 citations

    1

    h-index

1–5