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.
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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
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Real-time HABs Detection and Modeling
We develop and deploy the sensors and monitor in real-time, HABs activities to support immediate response.
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Response at Contaminated Sites and Natural Disasters Nationwide
On-Site Support for EPA’s Office of Land and Emergency Management (OLEM) – CSS provides expert technical guidance and field support at hazardous and contaminated sites, including sites under the Superfund program.
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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.
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