Severe Thunderstorm Detection

Severe Thunderstorm Detection is a meteorological monitoring methodology that identifies convective storms exhibiting one or more predefined criteria for severity—such as large hail, damaging winds, or tornadoes—using geostationary satellite observations combined with ancillary data to support early warning and nowcasting applications.

88

Publications

4.7K

Citations

333

Authors

96

Institutions

Publications per year

2017–2026

22

Authors

333

  1. RA
    Rodger A. Brown

    NOAA National Severe Storms Laboratory, United States

    5 publications · 112 citations

    5

    h-index

  2. KW
    Kevin W. Thomas

    University of Oklahoma, United States

    4 publications · 703 citations

    4

    h-index

  3. DW
    Donald W. Burgess

    NOAA National Severe Storms Laboratory, United States

    4 publications · 268 citations

    4

    h-index

  4. AW
    Arthur Witt

    NOAA National Severe Storms Laboratory, United States

    4 publications · 758 citations

    4

    h-index

  5. JT
    J. T. Johnson

    NOAA National Severe Storms Laboratory, United States

    4 publications · 648 citations

    4

    h-index

1–5 of 333

Venues

  1. Weather and Forecasting

    24 publications · 1.4K citations

    19

    h-index

  2. Bulletin of the American Meteorological Society

    BAMS · 11 publications · 762 citations

    10

    h-index

  3. Monthly Weather Review

    5 publications · 283 citations

    5

    h-index

  4. Meteorological Applications

    4 publications · 96 citations

    4

    h-index

  5. Atmospheric Research

    4 publications · 500 citations

    4

    h-index

1–5