Towards a real-time forecasting system for the San Francisco bay/estuary and rive delta

Hongchun Zhang1, Yi Chao2, John D Farrara3, Fei Chai4, Richard C Dugdale5, Frances Wilkerson5, Yinglong J Zhang6 and Eli Ateljevich7, (1)University of California Los Angeles, la crescenta, CA, United States, (2)Remote Sensing Solutions, Inc., Sierra Madre, CA, United States, (3)University of California Los Angeles, Los Angeles, CA, United States, (4)University of Maine, School of Marine Sciences, Orono, ME, United States, (5)San Francisco State University, San Francisco, CA, United States, (6)Virginia Institute of Marine Science, Gloucester Point, VA, United States, (7)Department of Water Resources, Bay-Delta Office, Sacramento, CA, United States
Abstract:
An unstructured grid model based on SCHISM (Semi-implicit Cross-scale Hydroscience Integrated System Model) is being developed to address complex resource management questions in the San Francisco Bay/Estuary and Sacramento-San Joaquin River Delta (Bay-Delta). The air-sea fluxes are provided by a high-resolution (3-km) mesoscale atmospheric model (COAMPS). The river discharge data are used as the lateral boundary condition upstream. The coastal ocean boundary condition is derived from a structured grid California coastal ocean model based on ROMS. Results from a 10-year (2004-2015) hindcast will be presented focusing on variability on multiple time scales from tides, weather, annual to interannual. The recent warming during 2014 in response to the Pacific and California coastal warming will be described. Adding a sediment transport model as well as a biogeochemical/ecosystem model will be discussed.
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