Predictive Modeling/Spatial Planning, NY Bight
CSS designed and implemented this integrated data acquisition, data management, and statistical predictive modeling to select optimal wind farm locations while minimally impacting seabirds.

Predictive Modeling/Spatial Planning, NY Bight.
CSS designed and implemented this integrated data acquisition, data management, and statistical predictive modeling to assess the technical feasibility of selecting optimal locations for placing wind farms while minimizing impacts to seabirds. We developed regional ecosystem maps delineating seabird species occurrence and abundance, integrating NOAA’s oceanic and atmospheric observational data. We coordinated this effort with NOAA partners including BOEM, USGS, USFWS, DOE; state, regional, industry, and academic groups; and NGOs. This project received the NOAA Bronze Medal
Additional Projects

Seafloor Substrate Mapping and Model Validation of Offshore Wind Sites
CSS supported developing a comprehensive seafloor characterization in support of a $3 billion offshore wind energy project in the coastal waters of New York.

Red Hill Drinking Water Crisis
CSS supported the U.S. EPA Red Hill response operations in Hawaii in early 2022.

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

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