Spectral Bin Microphysics

Spectral Bin Microphysics is a cloud microphysical modeling framework that resolves the evolution of cloud droplet size distributions by explicitly representing droplet number concentrations within discrete size bins, distinguishing it from bulk microphysics schemes through its detailed, size-resolved treatment of droplet growth processes.

71

Publications

7.8K

Citations

193

Authors

85

Institutions

Publications per year

2017–2026

29

Authors

193

  1. JF
    Jiwen Fan

    Pacific Northwest National Laboratory, United States

    13 publications · 1.2K citations

    13

    h-index

  2. BL
    Barry Lynn

    Hebrew University of Jerusalem, Israel

    10 publications · 782 citations

    10

    h-index

  3. JS
    Jacob Shpund

    Hebrew University of Jerusalem, Israel

    9 publications · 291 citations

    9

    h-index

  4. WT
    Wei‐Kuo Tao

    Goddard Space Flight Center, United States

    8 publications · 747 citations

    8

    h-index

  5. MP
    Mark Pinsky

    Hebrew University of Jerusalem, Israel

    7 publications · 228 citations

    7

    h-index

1–5 of 193

Venues

  1. Journal of the Atmospheric Sciences

    22 publications · 1.1K citations

    19

    h-index

  2. Journal of Geophysical Research Atmospheres

    JGR · 11 publications · 1.3K citations

    11

    h-index

  3. Journal of Geophysical Research Atmospheres

    JGR · 9 publications · 411 citations

    9

    h-index

  4. Atmospheric chemistry and physics

    8 publications · 355 citations

    7

    h-index

  5. Journal of Applied Meteorology and Climatology

    JAMC · 4 publications · 325 citations

    4

    h-index

1–5