Ocean Observing and Modeling Group

Project Details

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Southeast Coastal Ocean Observing Regional Association (SECOORA): Supporting Resilient Ecosystems, Communities and Economies - Regional Glider Observatory

Sponsors:
National Oceanic and Atmospheric Administration (NOAA)
Southeast Coastal Ocean Observing Regional Association (SECOORA)

Collaborators:
SECOORA: Debra Hernandez
Georgia Institute of Technology: Fumin Zhang, Qiuyang Tao, Sungjin Cho
North Carolina State University: Ruoying He, Wendy Woods, Jennifer Warrillow
University of Georgia: Catherine Edwards et al.
University of North Carolina Chapel Hill: Harvey Seim, Steve Lockhart
University of South Florida: Chad Lembke

Funding period: June 2016 - May 2021

Description

Objective 4.1: Enhance and operate a Coupled Marine Environmental Assessment and Prediction System. SECOORA will work with members at NCSU to: 1) sustain NCSU's South Atlantic Bight Gulf of Mexico (SABGOM) ocean circulation daily N/F modeling system; 2) establish the full couplings of wave (SWAN), atmosphere (WRF) and ocean circulation (ROMS) models, and generate regional, high resolution nowcasts and forecasts of ocean circulation, waves, marine weather, lower trophic level marine ecosystem predictions and other value added products; 3) implement into the prediction system a routine data assimilation of satellite-observed sea surface temperature and sea surface height, glider-measured subsurface temperature and salinity, HFR-measured surface currents and other environmental data collected in regional fishery independent surveys; 4) continue model skill assessment for marine environmental variables through appropriate comparisons with independent (non-assimilated) observations (e.g., mooring observations). Working with SAFMC, the team will also start developing the interface between NCSU's oceanographic modeling system and Ecopath as well as other higher trophic level ecological/fishery models. Through this work, SECOORA will implement an advanced regional marine environmental assessment and prediction capability over the entire SECOORA domain with associated error estimates, and update and transmit information to stakeholders in a timely and clear fashion.

Results

Work is in progress.
Photos of Septmeber 2016 deployment.

Publications