Rainfall Retrievals

Rainfall Retrievals is a methodological framework within remote sensing that distinguishes itself by inferring precipitation intensity and distribution from satellite or radar observations through the application of physical or empirical models calibrated to atmospheric and surface conditions.

1.2K

Publications

71.5K

Citations

3.1K

Authors

1K

Institutions

Publications per year

2017–2026

513

Variants

Precipitation Retrievals

Authors

3.1K

  1. CD
    Christian D. Kummerow

    Colorado State University, United States

    50 publications · 4.4K citations

    32

    h-index

  2. YH
    Yang Hong

    University of Oklahoma, United States

    26 publications · 4.2K citations

    26

    h-index

  3. RF
    Ralph Ferraro

    NOAA National Environmental Satellite Data and Information Service, United States

    25 publications · 2.6K citations

    20

    h-index

  4. EN
    Emmanouil N. Anagnostou

    University of Connecticut, United States

    20 publications · 1.5K citations

    19

    h-index

  5. SS
    Soroosh Sorooshian

    University of California, Irvine, United States

    19 publications · 2.6K citations

    19

    h-index

1–5 of 3.1K

Venues

  1. Journal of Hydrometeorology

    88 publications · 5.9K citations

    45

    h-index

  2. Remote Sensing

    119 publications · 6.3K citations

    45

    h-index

  3. Journal of Applied Meteorology

    52 publications · 5.4K citations

    35

    h-index

  4. Atmospheric Research

    51 publications · 3.5K citations

    34

    h-index

  5. Journal of Hydrology

    46 publications · 4K citations

    33

    h-index

1–5