Cloud Optical Property Parameterization

Cloud Optical Property Parameterization is a systematic method within atmospheric radiative transfer modeling that specifies the radiatively relevant characteristics of clouds—such as optical depth, single-scattering albedo, and asymmetry factor—as functions of cloud macrophysical and microphysical properties to enable their representation in climate and weather prediction models.

187

Publications

13.3K

Citations

558

Authors

204

Institutions

Publications per year

2017–2026

28

Authors

558

  1. PY
    Ping Yang

    Texas A&M University, United States

    11 publications · 856 citations

    11

    h-index

  2. AJ
    Anthony J. Baran

    Met Office, United Kingdom

    6 publications · 321 citations

    6

    h-index

  3. AJ
    Andrew J. Heymsfield

    NSF National Center for Atmospheric Research, United States

    5 publications · 315 citations

    5

    h-index

  4. SP
    Steven Platnick

    Goddard Space Flight Center, United States

    5 publications · 195 citations

    5

    h-index

  5. HW
    Howard W. Barker

    Environment and Climate Change Canada, Canada

    5 publications · 541 citations

    5

    h-index

1–5 of 558

Venues

  1. Journal of Geophysical Research Atmospheres

    JGR · 33 publications · 2.3K citations

    25

    h-index

  2. Journal of the Atmospheric Sciences

    23 publications · 2.6K citations

    20

    h-index

  3. Journal of Climate

    15 publications · 1.2K citations

    15

    h-index

  4. Atmospheric chemistry and physics

    8 publications · 372 citations

    8

    h-index

  5. 8

    h-index

1–5