Hail Forecasting

Hail Forecasting is a meteorological prediction methodology that specifically identifies the likelihood, timing, and characteristics of hail formation within convective storms, distinguished from broader severe weather forecasting by its focus on the microphysical and dynamical processes governing hailstone development and fallout.

86

Publications

5.3K

Citations

258

Authors

99

Institutions

Publications per year

2017–2026

39

Authors

258

  1. MX
    Ming Xue

    University of Oklahoma, United States

    10 publications · 517 citations

    10

    h-index

  2. MK
    Michael Kunz

    Karlsruhe Institute of Technology, Germany

    7 publications · 716 citations

    7

    h-index

  3. DJ
    David John Gagne

    NSF National Center for Atmospheric Research, United States

    5 publications · 929 citations

    5

    h-index

  4. NS
    Nathan Snook

    University of Oklahoma, United States

    5 publications · 209 citations

    5

    h-index

  5. YJ
    Youngsun Jung

    University of Oklahoma, United States

    5 publications · 236 citations

    5

    h-index

1–5 of 258

Venues

  1. Weather and Forecasting

    24 publications · 1.7K citations

    20

    h-index

  2. Atmospheric Research

    10 publications · 694 citations

    10

    h-index

  3. Monthly Weather Review

    8 publications · 483 citations

    8

    h-index

  4. Bulletin of the American Meteorological Society

    BAMS · 6 publications · 658 citations

    6

    h-index

  5. Geophysical Research Letters

    5 publications · 270 citations

    5

    h-index

1–5