Cloud Chemical Modeling

Cloud Chemical Modeling is a computational framework that belongs to the class of atmospheric chemical models, specifically designed to simulate and predict the multiphase chemical processes occurring within cloud systems by integrating cloud microphysics with aqueous-phase reaction mechanisms.

190

Publications

11K

Citations

625

Authors

230

Institutions

Publications per year

2017–2026

42

Authors

625

  1. MC
    M. C. Barth

    NSF National Center for Atmospheric Research, United States

    14 publications · 493 citations

    12

    h-index

  2. NC
    Nadine Chaumerliac

    Laboratoire de Météorologie Physique, France

    9 publications · 370 citations

    9

    h-index

  3. ML
    Maud Leriche

    Centre National de la Recherche Scientifique, France

    8 publications · 415 citations

    8

    h-index

  4. LD
    Laurent Deguillaume

    Centre National de la Recherche Scientifique, France

    7 publications · 280 citations

    7

    h-index

  5. VW
    Valentine Wakelam

    Centre National de la Recherche Scientifique, France

    6 publications · 383 citations

    6

    h-index

1–5 of 625

Venues

  1. Journal of Geophysical Research Atmospheres

    JGR · 37 publications · 3.5K citations

    30

    h-index

  2. Atmospheric chemistry and physics

    14 publications · 688 citations

    13

    h-index

  3. Atmospheric Environment

    14 publications · 884 citations

    13

    h-index

  4. The Astrophysical Journal

    ApJ · 11 publications · 467 citations

    11

    h-index

  5. Geoscientific model development

    9 publications · 569 citations

    9

    h-index

1–5