Radar-based Hydrometeor Classification

Radar-Based Hydrometeor Classification is a meteorological remote sensing methodology that identifies and categorizes atmospheric hydrometeors by analyzing polarimetric radar signatures, distinguished from other radar interpretation techniques through its specific reliance on dual-polarization variables to discriminate particle types such as rain, snow, hail, and graupel.

81

Publications

5.8K

Citations

252

Authors

118

Institutions

Publications per year

2017–2026

26

Authors

252

  1. AV
    Alexander V. Ryzhkov

    Cooperative Institute for Mesoscale Meteorological Studies, United States

    9 publications · 2.1K citations

    9

    h-index

  2. DS
    Dušan S. Zrnić

    NOAA National Severe Storms Laboratory, United States

    7 publications · 1.9K citations

    7

    h-index

  3. VC
    V. Chandrasekar

    Colorado State University, United States

    7 publications · 499 citations

    7

    h-index

  4. AB
    Alexis Berne

    École Polytechnique Fédérale de Lausanne, Switzerland

    5 publications · 358 citations

    5

    h-index

  5. GZ
    Guifu Zhang

    University of Oklahoma, United States

    4 publications · 186 citations

    4

    h-index

1–5 of 252

Venues

  1. Journal of Atmospheric and Oceanic Technology

    11 publications · 891 citations

    11

    h-index

  2. Journal of Applied Meteorology and Climatology

    JAMC · 9 publications · 412 citations

    9

    h-index

  3. Atmospheric measurement techniques

    8 publications · 393 citations

    8

    h-index

  4. 6

    h-index

  5. Weather and Forecasting

    4 publications · 648 citations

    4

    h-index

1–5