Multi-radar Data Fusion

Multi-Radar Data Fusion is a computational framework that integrates volumetric weather observations from multiple Doppler radar systems into a unified, high-resolution atmospheric state estimate by resolving spatial and temporal discrepancies across overlapping coverage domains.

52

Publications

2.9K

Citations

206

Authors

84

Institutions

Publications per year

2017–2026

21

Authors

206

  1. JZ
    Jian Zhang

    Chinese Academy of Sciences, China

    2 publications · 841 citations

    2

    h-index

  2. ZP
    Zdravko Popovic

    University of Belgrade, Serbia

    2 publications · 55 citations

    2

    h-index

  3. AE
    Anthony E. Reinhart

    Cooperative Institute for Mesoscale Meteorological Studies, United States

    2 publications · 61 citations

    2

    h-index

  4. TM
    Travis M. Smith

    University of Oklahoma, United States

    2 publications · 155 citations

    2

    h-index

  5. KW
    Kenneth W. Howard

    NOAA National Severe Storms Laboratory, United States

    2 publications · 841 citations

    2

    h-index

1–5 of 206

Venues

  1. IEEE Sensors Journal

    3 publications · 76 citations

    3

    h-index

  2. Remote Sensing

    2 publications · 157 citations

    2

    h-index

  3. Advances in Space Research

    2 publications · 75 citations

    2

    h-index

  4. Journal of Atmospheric and Oceanic Technology

    2 publications · 209 citations

    2

    h-index

  5. Weather and Forecasting

    2 publications · 186 citations

    2

    h-index

1–5