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Travis A. Smith, Jason K. Jolliff, Nan D. Walker and Stephanie Anderson
Tropical cyclone induced phytoplankton productivity is examined using a tropical cyclone version of the Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS®). A four-component Nutrient?Phytoplankton?Detritus biological model is integrated into C...
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Alexandra N. Ramos Valle, Enrique N. Curchitser, Cindy L. Bruyere and Kathryn R. Fossell
Storm surge events have the potential to cause devastating damage to coastal communities. The magnitude of their impacts highlights the need for increased accuracy and real-time forecasting and predictability of storm surge. In this study, we assess two ...
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Harry V. Wang, Jon Derek Loftis, David Forrest, Wade Smith and Barry Stamey
Washington, DC, the capital of the U.S., is located along the Upper Tidal Potomac River, where a reliable operational model is needed for making predictions of storm surge and river-induced flooding. We set up a finite volume model using a semi-implicit,...
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Cristina Forbes, Jamie Rhome, Craig Mattocks and Arthur Taylor
Numerical simulations of the storm tide that flooded the US Atlantic coastline during Hurricane Sandy (2012) are carried out using the National Weather Service (NWS) Sea Lakes and Overland Surges from Hurricanes (SLOSH) storm surge prediction model to qu...
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Justin R. Davis, Vladimir A. Paramygin, Chrysafis Vogiatzis, Y. Peter Sheng, Panos M. Pardalos and Renato J. Figueiredo
The Multimodal Transportation Educational Virtual Appliance (MTEVA) is an application developed within the framework of the broader Coastal Science Educational Virtual Appliance (CSEVA) to enhance coastal resiliency through the integration of coastal sci...
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