Multi-sensor Nowcasting

Multi-Sensor Nowcasting is a hydrologic nowcasting framework that integrates real-time observations from multiple heterogeneous sensors—such as weather radar, satellite, and ground-based precipitation gauges—to improve the accuracy and spatiotemporal resolution of short-term hydrological predictions through synergistic data fusion and error compensation.

4

Publications

97

Citations

17

Authors

7

Institutions

Publications per year

2017–2026

2

Authors

17

  1. AG
    Alan Gerard

    NOAA National Severe Storms Laboratory, United States

    1 publications · 22 citations

    1

    h-index

  2. TA
    Thomas Auligné

    NSF National Center for Atmospheric Research, United States

    1 publications · 17 citations

    1

    h-index

  3. HK
    H. Klein Baltink

    Royal Netherlands Meteorological Institute, Netherlands

    1 publications · 31 citations

    1

    h-index

  4. SM
    Siamak Mehrkanoon

    KU Leuven, Belgium

    1 publications · 27 citations

    1

    h-index

  5. KW
    Kenneth W. Howard

    NOAA National Severe Storms Laboratory, United States

    1 publications · 22 citations

    1

    h-index

1–5 of 17

Venues

  1. Procedia Computer Science

    1 publications · 27 citations

    1

    h-index

  2. Journal of Applied Meteorology

    1 publications · 31 citations

    1

    h-index

  3. Bulletin of the American Meteorological Society

    BAMS · 1 publications · 22 citations

    1

    h-index

  4. Open MIND

    Repository · 1 publications · 17 citations

    1

    h-index

1–4