CA harmful algae risk mapping (C-HARM)

The CA-Harmful Algae Risk Mapping (C-HARM) system generates predictions of harmful algal bloom (HAB) conditions in California and Southern Oregon coastal waters through a combination of 1) real-time circulation models that predict the ocean physics, i.e. the West Coast Operational Forecast System (WCOFS), 2) satellite remote-sensing data of the ocean “color” and chlorophyll patterns, and 3) statistical models for predicting bloom and toxin likelihoods. These predictions are generated daily to provide a forecast of where you might encounter a Pseudo-nitzschia bloom and/or domoic acid event in the next one to three days.

Authors

Publication Details

Journal
Benefits of Ocean Observing Catalog (BOOC)
Published
2025-04-14
DOI
https://doi.org/10.15351/3068-2320.1113
Citations
1
Primary Topic
Marine Toxins and Detection Methods
Type
article
Field-Weighted Citation Impact
0.86
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article

CA harmful algae risk mapping (C-HARM)

C. O. Anderson, Raphael M. Kudela
1 citations
Benefits of Ocean Observing Catalog (BOOC)
Marine Toxins and Detection Methods
0.86
article

CA harmful algae risk mapping (C-HARM)

C. O. Anderson, Raphael M. Kudela
article en
1 citations

Abstract

The CA-Harmful Algae Risk Mapping (C-HARM) system generates predictions of harmful algal bloom (HAB) conditions in California and Southern Oregon coastal waters through a combination of 1) real-time circulation models that predict the ocean physics, i.e. the West Coast Operational Forecast System (WCOFS), 2) satellite remote-sensing data of the ocean “color” and chlorophyll patterns, and 3) statistical models for predicting bloom and toxin likelihoods. These predictions are generated daily to provide a forecast of where you might encounter a Pseudo-nitzschia bloom and/or domoic acid event in the next one to three days.

Benefits of Ocean Observing Catalog (BOOC)Vol. 3(1)
Zero hunger
Openalex Percentile: Top 27%
Marine Toxins and Detection Methods
0.86
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