Bloom Forecasting

Bloom Forecasting is a predictive modeling framework that distinguishes itself by estimating the likelihood, timing, magnitude, and spatial extent of harmful algal blooms through the integration of environmental, biological, and remote sensing data.

266

Publications

14.7K

Citations

1.1K

Authors

467

Institutions

Publications per year

2017–2026

144

Authors

1.1K

  1. RP
    Richard P. Stumpf

    NOAA National Centers for Coastal Ocean Science, United States

    11 publications · 1.2K citations

    11

    h-index

  2. TT
    Timothy T. Wynne

    NOAA National Centers for Coastal Ocean Science, United States

    7 publications · 1.1K citations

    7

    h-index

  3. JS
    Joe Silke

    Marine Institute, Ireland

    6 publications · 384 citations

    6

    h-index

  4. CC
    Caroline Cusack

    Marine Institute, Ireland

    6 publications · 384 citations

    6

    h-index

  5. FR
    Friedrich Recknagel

    The University of Adelaide, Australia

    6 publications · 226 citations

    6

    h-index

1–5 of 1.1K

Venues

  1. Harmful Algae

    22 publications · 1.7K citations

    20

    h-index

  2. Ecological Modelling

    12 publications · 1K citations

    12

    h-index

  3. The Science of The Total Environment

    12 publications · 639 citations

    12

    h-index

  4. Water Research

    10 publications · 805 citations

    9

    h-index

  5. Ecological Indicators

    8 publications · 312 citations

    8

    h-index

1–5