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

Superfund Program Removal Action Support

CSS’ On-Site Analytical Support Accelerates Site Cleanup and Restoration.

ITC Tank Farm Fire Emergency Response

In response to a dangerous fire EPA ordered CSS’ senior field operations specialists to a facility near Houston where massive tanks stored highly flammable liquids to help manage emergency response activities.

Analytical Laboratory Support for Mass Transit Decontamination Research

CSS helped advance EPA’s body of knowledge for restoring subway systems after a biological incident.

Facilities Operations & Maintenance

We understand your facility support needs and deliver customized solutions.

Satellite Science & Environmental Intelligence

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

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.

Environmental Resource Assessment & Management

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

Human Health Risk Assessment

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

Space Science Application Support & Operations

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

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