Synoptic-scale Prediction

Synoptic-Scale Prediction is a meteorological forecasting approach that belongs to the class of medium-range atmospheric prediction methods, distinguished by its focus on identifying and projecting the evolution of large-scale weather systems—such as high- and low-pressure systems and frontal zones—over spatial scales of approximately 1,000 to 10,000 kilometers and time horizons of 3 to 10 days.

103

Publications

4.6K

Citations

315

Authors

123

Institutions

Publications per year

2017–2026

19

Authors

315

  1. AE
    Andrew E. Mercer

    Mississippi State University, United States

    3 publications · 136 citations

    3

    h-index

  2. CA
    Charles A. Doswell

    NOAA National Severe Storms Laboratory, United States

    3 publications · 185 citations

    3

    h-index

  3. ZM
    Zhiyong Meng

    Peking University, China

    3 publications · 106 citations

    3

    h-index

  4. JM
    John M. Bane

    University of North Carolina at Chapel Hill, United States

    3 publications · 170 citations

    3

    h-index

  5. EG
    Eduardo García‐Ortega

    Universidad de León, Spain

    2 publications · 91 citations

    2

    h-index

1–5 of 315

Venues

  1. Monthly Weather Review

    18 publications · 779 citations

    15

    h-index

  2. Weather and Forecasting

    9 publications · 434 citations

    9

    h-index

  3. 7

    h-index

  4. Journal of Geophysical Research Atmospheres

    JGR · 7 publications · 299 citations

    7

    h-index

  5. Bulletin of the American Meteorological Society

    BAMS · 7 publications · 413 citations

    7

    h-index

1–5