Cloud Optical Parameterization

Cloud Optical Parameterization is a computational method that systematically represents the radiative properties of clouds in atmospheric models by relating microphysical characteristics to optical variables such as optical thickness, single-scattering albedo, and asymmetry factor.

121

Publications

7.4K

Citations

365

Authors

165

Institutions

Publications per year

2017–2026

17

Authors

365

  1. PY
    Ping Yang

    Texas A&M University, United States

    5 publications · 277 citations

    5

    h-index

  2. SC
    S. C. Ou

    University of California, Los Angeles, United States

    3 publications · 87 citations

    3

    h-index

  3. MC
    Ming‐Dah Chou

    Goddard Space Flight Center, United States

    3 publications · 495 citations

    3

    h-index

  4. AJ
    Andrew J. Heymsfield

    NSF National Center for Atmospheric Research, United States

    3 publications · 218 citations

    3

    h-index

  5. JL
    Jiangnan Li

    University of Victoria, Canada

    3 publications · 120 citations

    3

    h-index

1–5 of 365

Venues

  1. Journal of Geophysical Research Atmospheres

    JGR · 18 publications · 1.3K citations

    17

    h-index

  2. Journal of the Atmospheric Sciences

    14 publications · 1.4K citations

    14

    h-index

  3. Journal of Climate

    10 publications · 974 citations

    10

    h-index

  4. Journal of Quantitative Spectroscopy and Radiative Transfer

    JQSRT · 7 publications · 227 citations

    7

    h-index

  5. Monthly Weather Review

    6 publications · 331 citations

    6

    h-index

1–5