Storm-scale Modeling

Storm-Scale Modeling is a mesoscale forecasting approach that specifically resolves individual convective storms and their internal dynamics at high spatial and temporal resolution, distinguishing it from coarser-scale models that parameterize convection.

318

Publications

23.8K

Citations

1K

Authors

315

Institutions

Publications per year

2017–2026

77

Authors

1K

  1. MX
    Ming Xue

    University of Oklahoma, United States

    14 publications · 689 citations

    14

    h-index

  2. DZ
    Da‐Lin Zhang

    University of Maryland, College Park, United States

    11 publications · 986 citations

    11

    h-index

  3. FK
    Fanyou Kong

    University of Oklahoma, United States

    11 publications · 513 citations

    11

    h-index

  4. LJ
    Louis J. Wicker

    NOAA National Severe Storms Laboratory, United States

    10 publications · 688 citations

    10

    h-index

  5. SG
    Sundararaman Gopalakrishnan

    University of Miami, United States

    8 publications · 255 citations

    8

    h-index

1–5 of 1K

Venues

  1. Monthly Weather Review

    74 publications · 8.9K citations

    42

    h-index

  2. Weather and Forecasting

    20 publications · 1.1K citations

    17

    h-index

  3. Journal of the Atmospheric Sciences

    21 publications · 1.1K citations

    17

    h-index

  4. Atmospheric Research

    16 publications · 734 citations

    14

    h-index

  5. Bulletin of the American Meteorological Society

    BAMS · 12 publications · 1.5K citations

    12

    h-index

1–5