Deep Convection Parameterization

Deep Convection Parameterization is a physical parameterization method that represents the collective effects of deep convective cloud systems on resolved-scale atmospheric variables in numerical climate and weather prediction models by approximating subgrid-scale vertical transports of heat, moisture, and momentum.

268

Publications

29.4K

Citations

805

Authors

268

Institutions

Publications per year

2017–2026

78

Authors

805

  1. GJ
    Guang J. Zhang

    Scripps Institution of Oceanography, United States

    9 publications · 348 citations

    10

    h-index

  2. JD
    J. David Neelin

    University of California, Los Angeles, United States

    8 publications · 777 citations

    9

    h-index

  3. LJ
    Leo J. Donner

    NOAA Geophysical Fluid Dynamics Laboratory, United States

    7 publications · 3.8K citations

    7

    h-index

  4. CS
    Christopher S. Bretherton

    University of Washington, United States

    7 publications · 891 citations

    7

    h-index

  5. RN
    Richard Neale

    NSF National Center for Atmospheric Research, United States

    6 publications · 5.2K citations

    6

    h-index

1–5 of 805

Venues

  1. Journal of the Atmospheric Sciences

    34 publications · 3.9K citations

    29

    h-index

  2. Monthly Weather Review

    29 publications · 4.3K citations

    23

    h-index

  3. Journal of Climate

    24 publications · 7.9K citations

    19

    h-index

  4. Journal of Geophysical Research Atmospheres

    JGR · 18 publications · 849 citations

    18

    h-index

  5. Journal of Advances in Modeling Earth Systems

    JAMES · 20 publications · 1.3K citations

    18

    h-index

1–5