The Mid-Atlantic Regional Coastal Ocean Observing System (MARCOOS) will implement an end-to-end regional ocean data acquisition, management, modeling and product generation system to satisfy user needs as defined by the Middle Atlantic Coastal Ocean Observing Regional Association (MACOORA). MARCOOS will leverage extensive existing regional assets to augment federal backbone products in response to the MACOORA regional themes of Maritime Safety and Ecological Decision Making. Regional products enabled by MARCOOS will in turn support the development of even higher resolution products at the sub-regional level, including supporting local MACOORA needs for Coastal Inundation and Water Quality. Through MARCOOS, regional scale observations from a network of HF-Radars, satellites, glider AUVs, and an array of meteorological stations will feed 4 operational numerical modeling systems. The HF radar network provides near real-time surface current observations along 1000 kin of coastline with varying coverage from the coast out to the shelf break. The primary goal is to operate the regional system in a coordinated way to guarantee the delivery of quality ocean current and wave data. In this paper we present MARCOOS with an emphasis on the HF Radar network. Particular attention is placed on the setup, operation, and application of the network. Quality control metrics based on comparisons with Coast Guard deployed surface drifters (SLDMBs) have a specific focus to quantifying the uncertainty in the HF radar surface current estimates as applied to search and rescue observations. These metrics will be used to ensure that quality data is going to the Coast Guard and that this information is properly incorporated into existing search planning tools.
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Coll William & Mary, Virginia Inst Marine Sci, Gloucester Point, VA 23062 USAColl William & Mary, Virginia Inst Marine Sci, Gloucester Point, VA 23062 USA
Friedrichs, Marjorie A. M.
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St-Laurent, Pierre
Xiao, Yongjin
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Coll William & Mary, Virginia Inst Marine Sci, Gloucester Point, VA 23062 USAColl William & Mary, Virginia Inst Marine Sci, Gloucester Point, VA 23062 USA
Xiao, Yongjin
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Hofmann, Eileen
Hyde, Kimberly
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NOAA, Natl Marine Fisheries Serv, Northeast Fisheries Sci Ctr, Narragansett, RI 02882 USAColl William & Mary, Virginia Inst Marine Sci, Gloucester Point, VA 23062 USA
Hyde, Kimberly
Mannino, Antonio
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NASA, Goddard Space Flight Ctr, Greenbelt, MD USAColl William & Mary, Virginia Inst Marine Sci, Gloucester Point, VA 23062 USA
Mannino, Antonio
Najjar, Raymond G.
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Penn State Univ, Dept Meteorol & Atmospher Sci, University Pk, PA 16802 USAColl William & Mary, Virginia Inst Marine Sci, Gloucester Point, VA 23062 USA
Najjar, Raymond G.
Narvaez, Diego A.
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Old Dominion Univ, Ctr Coastal Phys Oceanog, Norfolk, VA USA
Univ Concepcion, Dept Oceanog, Concepcion, Chile
Univ Concepcion, Ctr Invest Oceanog COPAS Sur Austral, Concepcion, ChileColl William & Mary, Virginia Inst Marine Sci, Gloucester Point, VA 23062 USA
Narvaez, Diego A.
Signorini, Sergio R.
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NASA, Goddard Space Flight Ctr, Sci Applicat Int Corp, Greenbelt, MD USAColl William & Mary, Virginia Inst Marine Sci, Gloucester Point, VA 23062 USA
Signorini, Sergio R.
Tian, Hanqin
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Auburn Univ, Sch Forestry & Wildlife Sci, Auburn, AL 36849 USAColl William & Mary, Virginia Inst Marine Sci, Gloucester Point, VA 23062 USA
Tian, Hanqin
Wilkin, John
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Rutgers State Univ, Dept Marine & Coastal Sci, New Brunswick, NJ USAColl William & Mary, Virginia Inst Marine Sci, Gloucester Point, VA 23062 USA
Wilkin, John
Yao, Yuanzhi
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Auburn Univ, Sch Forestry & Wildlife Sci, Auburn, AL 36849 USAColl William & Mary, Virginia Inst Marine Sci, Gloucester Point, VA 23062 USA
Yao, Yuanzhi
Xue, Jianhong
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Univ Texas Austin, Marine Sci Inst, Port Aransas, TX USAColl William & Mary, Virginia Inst Marine Sci, Gloucester Point, VA 23062 USA