Cloud Dynamics Retrieval

Cloud Dynamics Retrieval is a methodological framework in cloud remote sensing that enables the systematic inference of temporal and spatial variations in cloud motion, vertical development, and internal circulatory patterns from remotely sensed observations by uniquely integrating multi-temporal imagery, physical cloud models, and motion tracking algorithms.

12

Publications

470

Citations

53

Authors

32

Institutions

Publications per year

2017–2026

5

Publications

12

1–5 of 12

Authors

53

  1. DC
    Daniele Casella

    Institute of Atmospheric Sciences and Climate, Italy

    3 publications · 94 citations

    3

    h-index

  2. PS
    Paolo Sanò

    Institute of Atmospheric Sciences and Climate, Italy

    3 publications · 94 citations

    3

    h-index

  3. GJ
    Gregory J. Tripoli

    University of Wisconsin–Madison, United States

    3 publications · 94 citations

    3

    h-index

  4. AM
    Amita Mehta

    University of Maryland, Baltimore County, United States

    2 publications · 60 citations

    2

    h-index

  5. GP
    Giulia Panegrossi

    Institute of Atmospheric Sciences and Climate, Italy

    2 publications · 60 citations

    2

    h-index

1–5 of 53

Venues

  1. 3

    h-index

  2. Remote Sensing of Environment

    2 publications · 109 citations

    2

    h-index

  3. Geophysical Research Letters

    1 publications · 43 citations

    1

    h-index

  4. Natural hazards and earth system sciences

    1 publications · 15 citations

    1

    h-index

  5. Solar Energy

    1 publications · 52 citations

    1

    h-index

1–5