2022 CSDMS meeting-072
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Coupling hydrology and ocean models to forecast pathways of contaminants from land to the ocean during extreme flood events
Melissa Moulton,
NCAR Boulder Colorado, United States. mmoulton@ucar.edu
John Warner, USGS Woods Hole Massachusetts, United States. jcwarner@usgs.gov
Joseph Zambon, NC State University Raleigh North Carolina, United States. jbzambon@ncsu.edu
Z George Xue, Louisiana State University Baton Rouge Louisiana, United States. zxue@lsu.edu
Ruoying He, NC State University Raleigh North Carolina, United States. rhe@ncsu.edu
Zafer Defne, USGS Woods Hole Massachusetts, United States. zdefne@usgs.gov
Donxiao Yin, Louisiana State University Baton Rouge Louisiana, United States. dyin2@lsu.edu
Daoyang Bao, Louisiana State University Baton Rouge Louisiana, United States. dbao2@lsu.edu
Christie Hegermiller, Sofar Ocean (prev. USGS) Woods Hole Massachusetts, United States. christie.hegermiller@sofarocean.com
Coastal ecosystems, infrastructure, and human health are vulnerable to extreme precipitation, flooding, and water quality impacts. Integrating a hydrologic model (WRF-Hydro) into the Coupled Ocean Atmosphere Wave Sediment Transport modeling system (COAWST), which includes ocean (ROMS), atmosphere (WRF), surface-wave (SWAN, WAVEWATCHIII), sediment (CSTMS), and sea-ice components, offers the potential to investigate compound flooding and the dispersal of contaminants, sediments, and other material at the land-ocean boundary. Here, the new model coupling is described, along with an application to Hurricane Florence.