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
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.
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…
Onsite Analytical Support Following Hurricane Harvey
CSS helped EPA protect the communities affected by Hurricane Harvey from volatile and semi-volatile water contaminants.

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