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Assessment of NOAA water level, sea-surface temperature, and salinity guidance from the Global Real-Time Ocean Forecast System (G-RTOFS) and water level guidance from the Extratropical Storm Surge (ETSS) system in western U.S. coastal waters
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2015
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Alternative Title:Global Real-Time Ocean Forecast System (G-RTOFS) and water level guidance from the Extratropical Storm Surge (ETSS) system in western U.S. coastal waters
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Description:"The National Ocean Service (NOS) of NOAA has been developing operational forecast systems (OFS) to produce nowcast/forecast guidance of ocean state variables including water levels, temperature (T), salinity (S), and three-dimensional (3-D) currents in the U.S. estuaries, coastal, and shelf waters. The OFSs produce valuable information to support safe maritime navigation, emergency response, and coastal environment management. The backbone of the various systems are the hydrodynamic modeling systems which are forced with water levels, temperature, salinity, and currents on the model domain s open ocean boundary, as well as the meteorological forcing on the surface and the river discharge at the river entrance. Open boundary forcing plays a critical role in the accuracy of the OFS nowcast/forecast guidance. The NOAA National Weather Service (NWS) Global Real-Time Ocean Forecast System (GRTOFS) and Extra-Tropical Storm Surge (ETSS) Model are two operational systems operated by the NOAA s National Center for Environmental Predictions (NCEP). The NOS OFSs normally use subtidal water level and 3-dimensional (3-D) T/S data from G-RTOFS to drive their hydrodynamic model runs and use the ETSS subtidal water level output as backup when the GRTOFS water level output is not available. Hence, it is worthwhile to evaluate the performance of the two models. As a first step in model evaluation, the present project focuses on assessing the G-RTOFS water level skills and SST/SSS skills, and the ETSS water level skills. In the present project, we aim to assess the ETSS and G-RTOFS skills in the U.S. western coastal waters and we focus on four months: October 2012, and January, April, and July of 2013. These months roughly correspond to the seasons of fall, winter, spring, and summer, respectively. We evaluated the model performance by comparing the model results with in-situ observations (for water level and SST) as well as with data from the climatological monthly world ocean database (for SST and SSS)"--Introduction.
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Content Notes:Zizang Yang, Philip Richardson, and Richard A. Schmaltz, Jr.
"July 2015."
System requirements: Adobe Acrobat Reader.
Includes bibliographical references (page 69).
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Rights Information:Public Domain
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Compliance:Library
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