Lagrangian Cloud Modeling

Lagrangian Cloud Modeling is a computational approach in atmospheric science that simulates cloud processes by tracking individual fluid parcels or particles as they move through space and time, distinguishing itself from Eulerian methods through its focus on the trajectories and evolving microphysical properties of discrete air masses within warm rain formation.

57

Publications

3.4K

Citations

193

Authors

121

Institutions

Publications per year

2017–2026

28

Authors

193

  1. FH
    Fabian Hoffmann

    University of Colorado Boulder, United States

    12 publications · 1K citations

    12

    h-index

  2. SR
    Siegfried Raasch

    Leibniz University Hannover, Germany

    7 publications · 852 citations

    7

    h-index

  3. YN
    Yign Noh

    Yonsei University, South Korea

    4 publications · 217 citations

    4

    h-index

  4. HP
    Hanna Pawłowska

    Institute of Geophysics Polish Academy of Sciences, Poland

    4 publications · 727 citations

    4

    h-index

  5. SU
    Simon Unterstraßer

    Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Germany

    4 publications · 122 citations

    4

    h-index

1–5 of 193

Venues

  1. Journal of the Atmospheric Sciences

    15 publications · 707 citations

    14

    h-index

  2. Geoscientific model development

    6 publications · 735 citations

    6

    h-index

  3. Atmospheric chemistry and physics

    6 publications · 135 citations

    6

    h-index

  4. Monthly Weather Review

    2 publications · 82 citations

    2

    h-index

  5. Atmosphere

    2 publications · 55 citations

    2

    h-index

1–5