Probabilistic Nowcasting

Probabilistic Nowcasting is a hydrologic nowcasting method that characterizes uncertainty in short-term predictions of hydrological states by generating multiple plausible future scenarios through probabilistic modeling, distinguishing it from deterministic approaches that yield single-point forecasts.

17

Publications

1.8K

Citations

105

Authors

31

Institutions

Publications per year

2017–2026

10

Authors

105

  1. AA
    Alberto Arribas

    Met Office, United Kingdom

    2 publications · 946 citations

    2

    h-index

  2. KK
    Kirstin Kober

    Ludwig-Maximilians-Universität München, Germany

    2 publications · 104 citations

    2

    h-index

  3. AS
    Alan Seed

    Bureau of Meteorology, Australia

    2 publications · 298 citations

    2

    h-index

  4. AA
    Andrés A. Pérez Hortal

    Federal Office of Meteorology and Climatology MeteoSwiss, Switzerland

    2 publications · 298 citations

    2

    h-index

  5. EC
    Ellen Clancy

    Google DeepMind (United Kingdom), United Kingdom

    2 publications · 946 citations

    2

    h-index

1–5 of 105

Venues

  1. Bulletin of the American Meteorological Society

    BAMS · 1 publications · 47 citations

    1

    h-index

  2. Weather and Forecasting

    1 publications · 43 citations

    1

    h-index

  3. IEEE Geoscience and Remote Sensing Letters

    GRSL · 1 publications · 22 citations

    1

    h-index

  4. Environmental Research Letters

    ERL · 1 publications · 23 citations

    1

    h-index

  5. 1

    h-index

1–5