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
Emergency Response Planning for New York City
CSS’ staff worked EPA Consequence Management Advisory Division (CMAD) to develop an integrated framework for responding if a biological agent was released over a wide area in New York City.
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.
Social Values Relative to Wind Energy
CSS assisted in the assessment of social values related to understanding and support of offshore wind energy sitings off North and South Carolina.
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