Cloud Radiative Forcing Parameterization

Cloud Radiative Forcing Parameterization is a computational method in climate modeling that quantifies the radiative impact of clouds by estimating the difference between all-sky and clear-sky radiative fluxes through simplified physical or empirical representations, distinguishing it from other cloud parameterizations by its specific focus on radiative effects rather than cloud microphysics or macrophysics.

206

Publications

19.3K

Citations

694

Authors

215

Institutions

Publications per year

2017–2026

41

Variants

Cloud Radiative Forcing Parametrization

Authors

694

  1. KS
    K. S. Carslaw

    University of Leeds, United Kingdom

    7 publications · 344 citations

    7

    h-index

  2. SX
    Shaocheng Xie

    Lawrence Livermore National Laboratory, United States

    6 publications · 736 citations

    6

    h-index

  3. UL
    Ulrike Lohmann

    ETH Zurich, Switzerland

    6 publications · 1.1K citations

    6

    h-index

  4. AG
    Andrew Gettelman

    NSF National Center for Atmospheric Research, United States

    6 publications · 1.1K citations

    6

    h-index

  5. MZ
    Minghua Zhang

    University of California, Davis, United States

    6 publications · 1.6K citations

    6

    h-index

1–5 of 694

Venues

  1. Journal of Climate

    36 publications · 6K citations

    30

    h-index

  2. Journal of Geophysical Research Atmospheres

    JGR · 28 publications · 3.3K citations

    23

    h-index

  3. Atmospheric chemistry and physics

    21 publications · 1.4K citations

    20

    h-index

  4. Geophysical Research Letters

    15 publications · 826 citations

    15

    h-index

  5. Journal of Geophysical Research Atmospheres

    JGR · 10 publications · 415 citations

    10

    h-index

1–5