Meteorological Target Classification

Meteorological Target Classification is a radar signal processing technique that categorizes atmospheric scatterers by their physical structure and phase state—such as rain, snow, hail, or graupel—based on the analysis of dual-polarization radar variables to distinguish hydrometeor types from non-meteorological echoes and between different precipitation regimes.

16

Publications

1.3K

Citations

61

Authors

39

Institutions

Publications per year

2017–2026

4

Authors

61

  1. DS
    Dušan S. Zrnić

    NOAA National Severe Storms Laboratory, United States

    2 publications · 681 citations

    2

    h-index

  2. SR
    Sheela Ramanna

    University of Winnipeg, Canada

    1 publications · 37 citations

    1

    h-index

  3. GW
    Guang Wen

    University of Guelph, Canada

    1 publications · 18 citations

    1

    h-index

  4. BZ
    Bin Zhao

    Northwestern Polytechnical University, China

    1 publications · 46 citations

    1

    h-index

  5. MT
    Magomet T. Abshaev

    North-Caucasus Federal University, Russia

    1 publications · 10 citations

    1

    h-index

1–5 of 61

Venues

  1. Journal of Atmospheric and Oceanic Technology

    2 publications · 201 citations

    2

    h-index

  2. Remote Sensing

    1 publications · 18 citations

    1

    h-index

  3. Expert Systems with Applications

    1 publications · 22 citations

    1

    h-index

  4. 1

    h-index

  5. Chinese Journal of Atmospheric Sciences

    1 publications · 12 citations

    1

    h-index

1–5