Cloud Microphysical Feedbacks

Cloud Microphysical Feedbacks is a dynamic atmospheric process that represents the bidirectional interactions between cloud droplet growth mechanisms and macroscopic cloud properties, wherein changes in microphysical characteristics such as droplet concentration and size distribution exert feedback effects on cloud development, precipitation formation, and radiative properties.

98

Publications

7.4K

Citations

365

Authors

167

Institutions

Publications per year

2017–2026

38

Authors

365

  1. MD
    Mark D. Zelinka

    Lawrence Livermore National Laboratory, United States

    10 publications · 1.6K citations

    10

    h-index

  2. SA
    Stephen A. Klein

    Lawrence Livermore National Laboratory, United States

    7 publications · 1.6K citations

    7

    h-index

  3. AD
    Anthony D. Del Genio

    Goddard Institute for Space Studies, United States

    6 publications · 400 citations

    6

    h-index

  4. CS
    Christopher S. Bretherton

    University of Washington, United States

    6 publications · 555 citations

    6

    h-index

  5. FB
    Florent Brient

    Centre National de la Recherche Scientifique, France

    5 publications · 710 citations

    5

    h-index

1–5 of 365

Venues

  1. Journal of Climate

    17 publications · 1.3K citations

    15

    h-index

  2. Geophysical Research Letters

    9 publications · 645 citations

    9

    h-index

  3. Journal of Advances in Modeling Earth Systems

    JAMES · 8 publications · 836 citations

    8

    h-index

  4. Climate Dynamics

    7 publications · 159 citations

    7

    h-index

  5. Atmospheric chemistry and physics

    7 publications · 260 citations

    6

    h-index

1–5