Northeast Coastal Ocean Forecast System

Northeast Coastal Ocean Forecast System
Name	Northeast Coastal Ocean Forecast System
Acronym	NECOFS
Country	United States
Operator	National Oceanic and Atmospheric Administration; University of Massachusetts Dartmouth; Woods Hole Oceanographic Institution
Type	Coastal ocean forecasting system
Established	2004

Northeast Coastal Ocean Forecast System

The Northeast Coastal Ocean Forecast System provides regional oceanographic forecasts for the northeastern United States and adjacent Canadian waters. It integrates numerical modeling, satellite remote sensing, and in situ observations to produce nowcasts and forecasts used by maritime operators, researchers, and resource managers. The system supports activities ranging from navigation and fisheries to emergency response and coastal planning by coupling hydrodynamic, wave, and scalar transport components.

Overview

NECOFS combines high-resolution modeling with observational networks to represent circulation, temperature, salinity, sea level, and wave fields for the Gulf of Maine, Georges Bank, Cape Cod Bay, and surrounding shelves. The system operates within broader frameworks such as the Integrated Ocean Observing System and the National Weather Service coastal programs, and interfaces with regional entities like the Gulf of Maine Research Institute and the Northeast Regional Association of Coastal Ocean Observing Systems. NECOFS supports stakeholders including the United States Coast Guard, Massachusetts Division of Marine Fisheries, NOAA Fisheries, and academic partners at University of New Hampshire and Scripps Institution of Oceanography collaborators.

Model and Data Sources

NECOFS uses coupled numerical models based on variants of the Regional Ocean Modeling System (ROMS) and the Simulating WAves Nearshore (SWAN) model to simulate baroclinic circulation and wave dynamics. For atmospheric forcing it ingests output from mesoscale models including the Weather Research and Forecasting Model (WRF) and operational analyses from the National Centers for Environmental Prediction. Data assimilation leverages observations from the National Data Buoy Center, the Integrated Ocean Observing System glider fleet, shipboard ADCPs from research cruises, and satellite products such as TOPEX/Poseidon‑derived sea surface height and MODIS sea surface temperature. Boundary conditions are informed by basin-scale systems like the HYbrid Coordinate Ocean Model (HYCOM) and operational forecasts from the NOAA National Ocean Service. Bathymetry and coastline datasets reference charts from the National Oceanic and Atmospheric Administration Office of Coast Survey and the United Kingdom Hydrographic Office where transboundary shelves require continuity.

Operational Forecasting and Products

Operational outputs include short-term nowcasts, 3‑ to 7‑day forecasts of currents, temperature, salinity, sea surface height, and significant wave height, as well as derived products such as particle tracking, oil spill trajectory models, and harmful algal bloom transport diagnostics. NECOFS distributes gridded fields via services compatible with Open Geospatial Consortium (OGC) standards and produces visualizations for web portals used by the United States Navy, commercial fisheries fleets, and port authorities such as the Port of Boston. Forecast dissemination leverages partnerships with the National Weather Service marine forecast offices and regional emergency management agencies including Massachusetts Emergency Management Agency for storm surge and inundation advisories.

Applications and Uses

Stakeholders use NECOFS for navigational planning by the United States Coast Guard and commercial shipping lines calling at Port of New York and New Jersey, for search and rescue coordination with regional command centers, and for aquaculture siting by companies operating near Martha's Vineyard and Prince Edward Island. Fisheries scientists at institutions like the Woods Hole Oceanographic Institution use NECOFS outputs to study larval transport for species managed by the New England Fishery Management Council and NOAA Fisheries. Environmental response teams from the Environmental Protection Agency and municipal water authorities use spill trajectory forecasts and beaching probability maps during incidents similar to responses to past events such as the Exxon Valdez and regional contingency exercises.

Validation and Performance

Model validation employs comparisons against in situ time series from moorings maintained by the Gulf of Maine Ocean Observing System and glider transects coordinated with the Northeast Fisheries Science Center. Performance metrics include root mean square error for sea surface temperature relative to MODIS retrievals, skill scores for current vectors compared to shipboard ADCPs, and hit‑rate statistics for significant wave height forecasts against buoy observations from the National Data Buoy Center. Independent intercomparison studies have evaluated NECOFS alongside systems such as the Northeast Coastal Ocean Forecast System (Canadian) initiatives and basin models used in the Atlantic Canadian Ocean Forecast System, informing incremental improvements in vertical mixing schemes and data assimilation methodologies.

History and Development

NECOFS originated from collaborative research initiatives in the early 2000s among the University of Massachusetts Dartmouth, NOAA laboratories, and the Office of Naval Research funding programs. Early development integrated ROMS implementations tested in academic studies published by researchers affiliated with Woods Hole Oceanographic Institution and Dalhousie University. Subsequent phases incorporated operationalization efforts supported by the National Oceanographic Partnership Program and expanded observational inputs through the Integrated Ocean Observing System and bilateral agreements with Fisheries and Oceans Canada. Continuous upgrades have addressed computational advances at facilities such as the National Center for Supercomputing Applications and have incorporated community model developments from the ROMS Consortium and the SWAN user community.

Category:Oceanographic computer models Category:Oceanography of the United States