Cloud Microphysical Parameterization

Cloud Microphysical Parameterization is a computational framework within atmospheric models that represents the net effects of subgrid-scale cloud microphysical processes, such as nucleation, condensation, collision-coalescence, and ice formation, by prescribing their statistical relationships and phase-dependent evolution in mixed-phase clouds.

876

Publications

77.6K

Citations

2.1K

Authors

533

Institutions

Publications per year

2017–2026

211

Authors

2.1K

  1. HM
    Hugh Morrison

    NSF National Center for Atmospheric Research, United States

    49 publications · 9.3K citations

    35

    h-index

  2. SJ
    S. J. Ghan

    Pacific Northwest National Laboratory, United States

    23 publications · 2.5K citations

    23

    h-index

  3. AG
    Andrew Gettelman

    NSF National Center for Atmospheric Research, United States

    28 publications · 4K citations

    22

    h-index

  4. WW
    Wojciech W. Grabowski

    NSF National Center for Atmospheric Research, United States

    20 publications · 3.1K citations

    20

    h-index

  5. GM
    Greg M. McFarquhar

    University of Illinois Urbana-Champaign, United States

    20 publications · 1.9K citations

    19

    h-index

1–5 of 2.1K

Venues

  1. Journal of the Atmospheric Sciences

    143 publications · 13.5K citations

    61

    h-index

  2. Journal of Geophysical Research Atmospheres

    JGR · 68 publications · 7.9K citations

    43

    h-index

  3. Atmospheric chemistry and physics

    73 publications · 3.8K citations

    35

    h-index

  4. Journal of Geophysical Research Atmospheres

    JGR · 49 publications · 2.4K citations

    31

    h-index

  5. Monthly Weather Review

    52 publications · 10.6K citations

    31

    h-index

1–5