An Iterative Algorithm for Objective Wind Field Analysis
- Creators
- Liu, C. Y.
- Goodin, W. R.
Abstract
A wind field interpolated from a limited supply of observed data often implies a specific field of divergence, or a violation of the conservation of mass. To minimize the divergence, various objective analyses have been proposed. Three different methods of analysis are investigated and compared with respect to the degree of minimization of wind divergence and the accuracy of wind data at a measured station. The methods are a variational formulation in which the residual error in the continuity equation is minimized, a fixed-vorticity technique, and the presently proposed algorithm in which the measured winds are held fixed while winds at adjacent points are adjusted in order to reduce the divergence. The reduction of wind divergence and the convergence of the iterative scheme are examined. Results of the objective wind field analysis at times depend on subjective judgment in selecting the appropriate initialization algorithm especially for regions with scattered stations.
Additional Information
© 1976 American Meteorological Society. Manuscript received 21 June 1975, in revised form 25 November 1975. This study was sponsored by the National Aeronautics and Space Administration, Ames Research Center, under UCL-302. Many helpful suggestionsof Dr. Paul Swan are sincerely appreciated.Attached Files
Published - 1520-0493_281976_29104_0784_3Aaiafow_2.0.co_3B2.pdf
Files
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Additional details
- Eprint ID
- 85257
- Resolver ID
- CaltechAUTHORS:20180312-143441242
- UCL-302
- NASA
- Created
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2018-03-12Created from EPrint's datestamp field
- Updated
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2021-11-15Created from EPrint's last_modified field