Forecast Cellular Domoic Acid Probability

With NASA funding, UCSC researchers and CeNCOOS have been working to operationalize a predictive Harmful Algal Bloom (HAB) model for the region. Nowcasts (current state) and forecasts (future states) from this model of Pseudo-nitzschia (a marine diatom) blooms and Domoic Acid (the potentially harmful biotoxin Pseudo-nitzschia releases) probabilities are available daily along the California coast. Predicted "nowcasts" of harmful algal bloom (HAB) conditions are created through a combination of sophisticated circulation models that predict the ocean physics, satellite remote-sensing data of the ocean "color" and chlorophyll patterns, and statistical models for predicting bloom and toxin likelihoods. These predictions are generated daily to provide a snapshot of where you might encounter a Pseudo-nitzschia bloom and/or domoic acid event. Forecasts - Predictions of harmful algal bloom (HAB) conditions are created through a combination of sophisticated circulation models that predict the ocean physics, satellite remote-sensing data of the ocean "color" and chlorophyll patterns, and 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.

Data e Risorse

Campo Valore
access_constraints []
bbox-east-long 243.0
bbox-north-lat 43.0
bbox-south-lat 31.3
bbox-west-long 232.5
contact-email clrander@ucsc.edu
coupled-resource [{"href": ["#DataIdentification"], "uuid": [], "title": []}, {"href": ["#DataIdentification"], "uuid": [], "title": []}, {"href": ["#DataIdentification"], "uuid": [], "title": []}, {"href": ["#DataIdentification"], "uuid": [], "title": []}]
dataset-reference-date [{"type": "creation", "value": "2019-05-05T12:22:21.545971"}, {"type": "revision", "value": "2019-05-05T12:22:21.545971"}]
guid HAB_PARTICULATE_DOMOIC_ACID_FORECAST
licence []
metadata-date 2021-06-22
metadata-language eng
metadata_type geospatial
old-spatial {"type": "Polygon", "coordinates": [[[232.5, 31.3], [243.0, 31.3], [243.0, 43.0], [232.5, 43.0], [232.5, 31.3]]]}
resource-type dataset
responsible-party [{"name": "University of Californian Santa Cruz", "roles": ["pointOfContact"]}]
spatial {"type": "Polygon", "coordinates": [[[232.5, 31.3], [243.0, 31.3], [243.0, 43.0], [232.5, 43.0], [232.5, 31.3]]]}
spatial-data-service-type THREDDS OPeNDAP
spatial_harvester true
temporal-extent-begin 2019-05-05T00:00:00Z
temporal-extent-end 2019-05-07T00:00:00Z
Gruppi
  • AmeriGEOSS
  • National Provider
  • North America
Tag
  • amerigeo
  • amerigeoss
  • biological-classification
  • cencoos
  • ckan
  • diatoms
  • domoic-acid
  • earth-science
  • earth-science-services
  • forecast-models
  • geo
  • geoss
  • latitude
  • longitude
  • microalgae
  • models
  • national
  • north-america
  • plants
  • pseudo-nitzschia
  • time
  • uc-santa-cruz-harmful-algal-bloom-forecasting
  • united-states
  • weather-research
isopen False
metadata_created 2025-11-22T13:30:18.553557
metadata_modified 2025-11-22T13:30:18.553562
notes With NASA funding, UCSC researchers and CeNCOOS have been working to operationalize a predictive Harmful Algal Bloom (HAB) model for the region. Nowcasts (current state) and forecasts (future states) from this model of Pseudo-nitzschia (a marine diatom) blooms and Domoic Acid (the potentially harmful biotoxin Pseudo-nitzschia releases) probabilities are available daily along the California coast. Predicted "nowcasts" of harmful algal bloom (HAB) conditions are created through a combination of sophisticated circulation models that predict the ocean physics, satellite remote-sensing data of the ocean "color" and chlorophyll patterns, and statistical models for predicting bloom and toxin likelihoods. These predictions are generated daily to provide a snapshot of where you might encounter a Pseudo-nitzschia bloom and/or domoic acid event. Forecasts - Predictions of harmful algal bloom (HAB) conditions are created through a combination of sophisticated circulation models that predict the ocean physics, satellite remote-sensing data of the ocean "color" and chlorophyll patterns, and 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.
num_resources 12
num_tags 24
title Forecast Cellular Domoic Acid Probability