Predictive Modeling and the HABTracker
CSS scientists helped develop HABTracker, a HAB Forecast system.

Predictive Modeling and the HABTracker
CSS has been working with NOAA for more than 10 years to continuously develop and improve algorithms for detecting and forecasting the likelihood of occurrence, location, extent, and movement of HABs. CSS developed NOAA’s Harmful Algal Bloom Forecast System and transitioned it from research into operations. Our staff received Team member of the Year Award for the HABTracker
Additional Projects

Biogeographic Assessment of the Main Hawaiian Islands (MHI)
CSS compiled and visualized data showing the distribution of habitats and marine organisms, to establish a baseline for assessing and monitoring potential environmental impacts from renewable energy projects.

Real-time HABs Detection and Modeling
We develop and deploy the sensors and monitor in real-time, HABs activities to support immediate response.

Grape Microbiota
CSS was selected to develop an experiment payload to examine the effect of microgravity throughout the various stages of wine fermentation.

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