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
Analytical Support for the Drinking Water Emergency in Flint, Michigan
Helping 100,000 Residents Affected by Elevated Lead Levels in Local Water Supply Lead contamination found in the drinking water in Flint, Michigan had a catastrophic impact on the community and its residents. CSS supported EPA’s response to the crisis by providing mobile and fixed analytical laboratory services and data review. Over a nine-month period, our…
Harmful Algal Blooms (HABs)
We provide site-specific in situ monitoring coupled with predictive modeling, to provide an early warning system to advise health officials and resource managers on how to best focus their efforts to protect health and environment.
Analysis for Coastal Operational Resiliency
CSS assisted with planning and executing a demonstration of three decontamination technologies on a USCG vessel contaminated with a benign surrogate for anthrax.

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