The project will contribute to the need for predictive capability of phytoplankton productivity by evaluating real-time data to make real-time predictions of bloom conditions. Funding will be used to help establish an open source 3-D-model (SCHISM-CoSiNE) with biogeochemistry running at the California Department of Water Resources operationally, i.e. [daily runs]. Once completed, the intended goal of the model will be to predict the real-time biochemistry of the Delta to help forecast such things as algae blooming events.
San Francisco State University
The objectives of this project are:
(1) Combine observation and modeling to provide predictions of the effects of flow and nutrients on the production of food in regions of the Bay/Delta critical to higher trophic levels, e.g. Delta Smelt;
(2) Improve the 3-D model, SCHISM-CoSiNE, linked hydrodynamic and biogeochemical ecosystem model with high frequency data from fixed stations and enhanced spatial coverage; and
(3) Develop links with potential users/clients.
Research/Planning (including Science)
Project Benefits a Disadvantaged Community (or SDAC):