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

Network Engineering Design and Support

CSS engineers and deploys large-scale networks to support multi-campus and multi-facility environments.

Underground Transport Restoration Operational Technology Demonstration

CSS provided both technical and logistical support for the Underground Transport Restoration Operational Technology Demonstration.

Ecologically Sound Offshore Wind Development

CSS helps set the standards for suitability modeling for offshore wind development, and assists in meeting regulatory standards for environmental resource protection.

Environmental Resource Assessment & Management

We apply science to address challenges affecting the nation’s natural resources.

Safety, Health, & Environmental

We provide our clients with tools to protect their workforce, the public, and the environment.

Emergency Preparedness & Response

We help our clients prepare for and protect the health and environment of communities after disasters and hazmat releases.

IT Services

Our IT solutions meet clients’ evolving needs.

Earth & Space Science Support & Operations

We deliver scientific support to advance our clients’ research goals.

Human Health Risk Assessment

We help advance the understanding of chemical effects on people and the environment.

Satellite Data Applications

Helping create a more environmentally sustainable, weather-ready, and secure nation through application of earth observation data  

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