MARACOOS OceansMap
MARACOOS OceansMap is a dynamic data visualization tool integrating near real-time observational assets and model forecasts that contribute to ocean monitoring in the Mid-Atlantic region. OceansMap is a web-based met-ocean data and emergency response simulation system. It consists of a GIS-based graphical user interface, a spatial database and web services from OceansMap Server. The web-interface allows users and groups to manage, visualize and analyze a variety of met-ocean data including operational model and in-situ observation data. It can also be used to set up different oil or chemical spill scenarios, run a trajectory and weathering model and visualize the results of the model. The trajectory models can seamlessly access the latest global and regional wind and current data hosted in OceansMap Server or from RPS’ EDS. The system also includes interactive GIS features and tools to manage spill response planning activities and assets.
Key Details
Project Name
MARACOOS OceansMap
Client
Mid-Atlantic Regional Association Coastal Ocean Observing System (MARACOOS)
Location
Mid-Atlantic region of the Atlantic Ocean
Sectors
- Flooding and drainage
- Oil and gas
- Renewables
- Security and safety
- Information and telecommunications
Services Provided
- Data management and analysis
- Spatial intelligence and GIS
- Software Development
Applications for MARACOOS OceansMap:
- Fast Contingency planning
- Common Operational Picture
- Online Asset Management
- Online Data Sharing
- Met-Ocean Analysis
- Hindcast/forecast of spill response
- Response Resource Management
- Geomatics Data Management
Types of Data:
- Wind
- Water Level
- Waves
- Water Temperature
- Currents
- Active Tropical Cyclones
- Animal Tracking
Chesapeake Bay Portal
The Chesapeake Bay portal is a version of MARACOOS OceansMap specifically designed for the Chesapeake Bay. In addition to local observations the Chesapeake Bay portal includes data from the Maryland Department of Natural Resources as well as the ChesROMS Hypoxia Model. Developed by the Virginia Institute of Marine Science and partners this model predicts when and where low-oxygen or “hypoxic” conditions may form.
Project Statistics
glider days
data services
TB of data
forecast models
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