Stochastic Cloud Parameterization

Stochastic Cloud Parameterization is a cloud parameterization approach in atmospheric modeling that introduces probabilistic representations of subgrid-scale cloud processes to account for uncertainties and variability inherent in deterministic approximations.

29

Publications

2.6K

Citations

75

Authors

47

Institutions

Publications per year

2017–2026

7

Authors

75

  1. BK
    Boualem Khouider

    University of Victoria, Canada

    5 publications · 204 citations

    5

    h-index

  2. AJ
    Andrew J. Majda

    Courant Institute of Mathematical Sciences, United States

    4 publications · 188 citations

    4

    h-index

  3. AS
    Axel Seifert

    Deutscher Wetterdienst, Germany

    3 publications · 167 citations

    3

    h-index

  4. JG
    Jean‐Yves Grandpeix

    Laboratoire de Météorologie Dynamique, France

    2 publications · 92 citations

    2

    h-index

  5. FC
    Fleur Couvreux

    Météo-France, France

    2 publications · 92 citations

    2

    h-index

1–5 of 75

Venues

  1. Journal of the Atmospheric Sciences

    11 publications · 663 citations

    11

    h-index

  2. Journal of Advances in Modeling Earth Systems

    JAMES · 6 publications · 174 citations

    6

    h-index

  3. 3

    h-index

  4. Atmospheric Research

    1 publications · 23 citations

    1

    h-index

  5. IEEE Transactions on Antennas and Propagation

    1 publications · 41 citations

    1

    h-index

1–5