The analysis and display of wind patterns (near real-time) in the San Francisco Bay Area are the result of a co-operative effort of the U. S. Geological Survey, San Jose State University, SRI International, and the National Weather Service. These groups engaged independently in some aspects of this project that constituted the results displayed on this web page.

Sequence of events:
The Meteorology Department at San Jose State University (Prof. Douglas Sinton and Alan Becker) receives the near real-time wind observations provided by the National Weather Service, Pacific Gas and Electric Company, and the Bay Area Air Quality Management District. At San Jose State University, the original data are assembled, checked, formatted, and then supplied to the Water Resources Division, U. S. Geological Survey in Menlo Park, California. The near real-time wind pattern for the San Francisco Bay Area is calculated from these data using the "Winds on Critical Streamline Surfaces (WOCSS) model" described by Ludwig et al. (1991)*. This web-page was originaly developed and designed by Jonathan B. Feinstein. Current support, development, and redesign by Chad A. English, Water Resources Division of the USGS in Menlo Park, California.

The U. S. Geological Survey (Dr. Ralph T. Cheng) has a need of real-time wind pattern for the San Francisco Bay Area in connection with a partnership Project, "San Francisco Physical Oceanographic Real-Time System (SFPORTS)", between the USGS and the National Oceanic and Atmospheric Administration (NOAA). The development of the wind pattern web-page is motivated and funded by the USGS and NOAA Partnership Project.

Funding for the Meteorology Department at San Jose State University (Prof. Douglas Sinton) was provided by the University Corporation for Atmospheric Research through the COMET outreach program. The WOCSS model (Dr. Frank Ludwig) was developed at SRI International with support from the U. S. Army.


*Ludwig, Frank L., J. M. Livingston, and R. M. Endlich, 1991, Use of Mass
Conservation and Critical Dividing Streamline Concepts for Efficient Objective Analysis of Winds in Complex Terrain, J. Of Applied Meteorology, Vol. 30, No. 11, pp.1490-1499.

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