Mesoscale Forecasting

Mesoscale Forecasting is a specialized branch of weather forecasting that focuses on predicting atmospheric phenomena within the mesoscale range—typically spanning horizontal scales of 2 to 2,000 kilometers—distinguished by its emphasis on high-resolution numerical models and the explicit simulation of convective and orographic processes that govern short-term, location-specific weather events.

2.4K

Publications

158.9K

Citations

6.2K

Authors

1.3K

Institutions

Publications per year

2017–2026

540

Authors

6.2K

  1. MX
    Ming Xue

    University of Oklahoma, United States

    28 publications · 1.9K citations

    25

    h-index

  2. DJ
    David J. Stensrud

    NOAA National Severe Storms Laboratory, United States

    33 publications · 2.1K citations

    25

    h-index

  3. CF
    Clifford F. Mass

    University of Washington, United States

    24 publications · 2.4K citations

    20

    h-index

  4. FZ
    Fuqing Zhang

    Pennsylvania State University, United States

    21 publications · 2.6K citations

    20

    h-index

  5. JS
    John S. Kain

    NOAA National Severe Storms Laboratory, United States

    20 publications · 1.7K citations

    19

    h-index

1–5 of 6.2K

Venues

  1. Monthly Weather Review

    366 publications · 31.2K citations

    85

    h-index

  2. Weather and Forecasting

    272 publications · 17.1K citations

    68

    h-index

  3. 54

    h-index

  4. Bulletin of the American Meteorological Society

    BAMS · 101 publications · 7.7K citations

    50

    h-index

  5. Tellus A Dynamic Meteorology and Oceanography

    57 publications · 4K citations

    29

    h-index

1–5