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Jeudi 3 Mai - An Operational Data Assimilative Ocean Forecast System for Northeast U.S. Coastal Waters

Par SEMSOU Dernière modification 01/05/2018 13:17
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John L. Wilkin

Rutgers, The State University of New Jersey,
New Brunswick, New Jersey, USA

 

Title: An Operational Data Assimilative Ocean Forecast System for Northeast U.S. Coastal Waters

 

Abstrac: Coastal ocean models that downscale basin and global scale models are widely used to study regional circulation and locally important ecosystem and biogeochemical processes. When operated as now-cast/forecast systems, these models offer predictions that assist decision-making for maritime applications. Rutgers University operates such a system for shelf waters of the northeast U.S. coast where Regional Associations of U.S. IOOS (Integrated Ocean Observing System) operate a network of more than 50 surface current measuring CODAR HF-radars, autonomous underwater glider vehicles (AUGV), telemetering moorings, and drifting buoys. Other U.S. national and global efforts deliver further sustained observations from moorings, ships, profiling floats, animal tags, and a constellation of satellites. The Rutgers University re-analysis and forecast system uses the Regional Ocean Modeling System (ROMS; myroms.org) with 4-dimensional Variational (4DVAR) data assimilation to adjust initial conditions, boundary conditions, and surface forcing in each analysis cycle. Data routinely assimilated include CODAR velocities, satellite altimeter sea surface height with coastal corrections, L2 satellite temperature (microwave and infrared), in situ CTD data from AUGV and ships (NMFS Ecosystem Monitoring voyages), and all in situ data reported to the WMO GTS network. The operational system makes extensive use of open source open access web services for the ingest of real-time data, output to users, and monitoring of data streams and model execution. By tracing the provenance of all data entering the 4DVAR analysis and using observation impact analysis tools that are part of the ROMS 4DVAR suite, we are exploring the relative impact of the various platforms and systems that comprise the integrated observatory on user-relevant metrics of the analyzed ocean state.

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