Cloud Turbulence Parameterization

Cloud Turbulence Parameterization is a computational modeling framework within atmospheric physics that represents the statistical effects of subgrid-scale turbulent processes on cloud microphysics and dynamics in numerical weather and climate models where explicit resolution is unfeasible.

62

Publications

7.4K

Citations

274

Authors

111

Institutions

Publications per year

2017–2026

17

Authors

274

  1. VE
    Vincent E. Larson

    University of Wisconsin–Milwaukee, United States

    10 publications · 1.8K citations

    10

    h-index

  2. PB
    Peter Bogenschutz

    Lawrence Livermore National Laboratory, United States

    5 publications · 801 citations

    5

    h-index

  3. JG
    Jean‐Christophe Golaz

    Lawrence Livermore National Laboratory, United States

    5 publications · 1.3K citations

    5

    h-index

  4. DP
    D. P. Schanen

    University of Wisconsin–Milwaukee, United States

    4 publications · 509 citations

    4

    h-index

  5. MW
    Minghuai Wang

    Nanjing University, China

    3 publications · 198 citations

    3

    h-index

1–5 of 274

Venues

  1. Journal of the Atmospheric Sciences

    17 publications · 3.3K citations

    15

    h-index

  2. Monthly Weather Review

    7 publications · 1.2K citations

    7

    h-index

  3. Journal of Advances in Modeling Earth Systems

    JAMES · 6 publications · 542 citations

    6

    h-index

  4. Journal of Climate

    5 publications · 485 citations

    5

    h-index

  5. Journal of Geophysical Research Atmospheres

    JGR · 5 publications · 176 citations

    5

    h-index

1–5