Extended Abstract (276K)8.1
An Optimized Implementation of Objective Analysis
Thomas A. Cannon, Oklahoma Climatological Survey, Univ. of Oklahoma, Norman, OK; and J. M. Wolfinbarger, J. R. Greenfield, T. B. Stanley, and W. G. McPherson, Jr.
Objective Analysis is commonly used in the generation of gridded datasets in weather visualization software. The nature of objective analysis tends to encourage grossly inefficient implementation, resulting in a workload which grows geometrically with the size of the grid and number of data points.
This paper describes an implementation of objective analysis that has been optimized for speed. The optimization reduces workload and time expenditure by up to two orders of magnitude, with no loss of accuracy.
Session 8, IIPS and NWP Applications (ROOM 613/614)
Tuesday, 13 January 2004, 1:30 PM-5:30 PM, Room 613/614
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