Hydrometeor Type Retrieval

Hydrometeor Type Retrieval is a methodological framework in atmospheric science that identifies and classifies hydrometeor species from remote sensing observations by distinguishing their microphysical and electromagnetic scattering properties.

37

Publications

2.3K

Citations

151

Authors

72

Institutions

Publications per year

2017–2026

13

Authors

151

  1. DS
    Dušan S. Zrnić

    NOAA National Severe Storms Laboratory, United States

    4 publications · 776 citations

    4

    h-index

  2. AV
    Alexander V. Ryzhkov

    Cooperative Institute for Mesoscale Meteorological Studies, United States

    3 publications · 565 citations

    3

    h-index

  3. YC
    Yaodeng Chen

    Nanjing University of Information Science and Technology, China

    2 publications · 58 citations

    2

    h-index

  4. SY
    Sergey Y. Matrosov

    Cooperative Institute for Research in Environmental Sciences, United States

    2 publications · 90 citations

    2

    h-index

  5. AB
    Alexis Berne

    École Polytechnique Fédérale de Lausanne, Switzerland

    2 publications · 76 citations

    2

    h-index

1–5 of 151

Venues

  1. Journal of Applied Meteorology

    4 publications · 724 citations

    4

    h-index

  2. Atmospheric Research

    3 publications · 57 citations

    3

    h-index

  3. Monthly Weather Review

    3 publications · 154 citations

    3

    h-index

  4. Remote Sensing

    2 publications · 52 citations

    2

    h-index

  5. 2

    h-index

1–5