Detecting toxic diatom blooms from ocean color and a regional ocean model

Details Detecting toxic diatom blooms from ocean color and a regional ocean model Detecting toxic diatom blooms from ocean color and a regional ocean model

Feb 2011

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011georl..3804603a&link_type=abstract

Geophysical Research Letters, Volume 38, Issue 4, CiteID L04603

Physics

Optics

Biogeosciences: Biogeochemical Cycles, Processes, And Modeling (0412, 0793, 1615, 4805, 4912), Biogeosciences: Bio-Optics, Biogeosciences: Remote Sensing, Oceanography: Biological And Chemical: Ecological Prediction, Oceanography: Biological And Chemical: Population Dynamics And Ecology

Scientific paper

An apparent link between upwelling-related physical signatures, macronutrients, and toxic diatom blooms in the various “hotspots” throughout California has motivated attempts to forecast harmful algal blooms (HABs) as a function of select environmental variables. Empirical models for predicting toxic Pseudo-nitzschia blooms in one such region, the Santa Barbara Channel (SBC), are tested in a nowcast mode using predictions based on merging data from MODIS ocean color geophysical products and the Regional Ocean Modeling System (ROMS) applied to the Southern California Bight. Thresholds for each model generate event forecasts. Spatially-explicit, monthly HAB maps are compared to shipboard observations and California monitoring data, demonstrating that the models predict offshore events otherwise undetected by nearshore monitoring. The use of mechanistic hydrodynamic models in concert with empirical, biological models facilitates future process studies on the effects of coastal eutrophication and climate change on regional HAB dynamics.

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