Quantitative Precipitation Estimation

Quantitative Precipitation Estimation is a methodological framework in meteorology that enables the derivation of precise rainfall rates or accumulations from remote sensing observations, particularly radar reflectivity data, by establishing empirically or physically based relationships between radar observables and ground-truth precipitation measurements.

787

Publications

41.2K

Citations

2.3K

Authors

729

Institutions

Publications per year

2017–2026

322

Authors

2.3K

  1. JJ
    Jonathan J. Gourley

    NOAA National Severe Storms Laboratory, United States

    24 publications · 1.6K citations

    21

    h-index

  2. JZ
    Jian Zhang

    Chinese Academy of Sciences, China

    24 publications · 1.9K citations

    20

    h-index

  3. YH
    Yang Hong

    University of Oklahoma, United States

    23 publications · 1.6K citations

    20

    h-index

  4. PK
    Pierre‐Emmanuel Kirstetter

    NOAA National Severe Storms Laboratory, United States

    24 publications · 1.1K citations

    19

    h-index

  5. KW
    Kenneth W. Howard

    NOAA National Severe Storms Laboratory, United States

    21 publications · 2.3K citations

    19

    h-index

1–5 of 2.3K

Venues

  1. Journal of Hydrology

    63 publications · 5.2K citations

    37

    h-index

  2. Journal of Hydrometeorology

    86 publications · 4.1K citations

    36

    h-index

  3. Weather and Forecasting

    37 publications · 2.4K citations

    27

    h-index

  4. Remote Sensing

    43 publications · 1.8K citations

    25

    h-index

  5. Bulletin of the American Meteorological Society

    BAMS · 25 publications · 4.7K citations

    22

    h-index

1–5