Accession Number : ADA315315
Title : AASERT93- Weather Analysis and Prediction Using Empirical Orthogonal Functions.
Descriptive Note : Final rept. 1 Sep 93-31 Aug 96,
Corporate Author : FLORIDA STATE UNIV TALLAHASSEE GEOPHYSICAL FLUID DYNAMICS INST
Personal Author(s) : Pfeffer, Richard L.
PDF Url : ADA315315
Report Date : AUG 1996
Pagination or Media Count : 5
Abstract : The primary purpose of AASERT Grant F49620-93-1-0531 was to support graduate student Scott Applequist's efforts to explore statistical methods of weather prediction under the supervision of Professor Pfeffer. The research Scott has done under this grant has enabled him to formulate his Ph. D. dissertation on cold season regional weather prediction in the range of 6 to 36 hours. His dissertation will be completed under AFOSR Grant F49620- 96-1-0172. Owing to the availability of plentiful surface and upper air data in both space and time over the eastern portion of the United States, Scott has chosen to test various nonlinear statistical methodologies over this region. Once successful methodologies are found, they can be tested over areas with more sparse data coverage. Scott's goal is to ascertain the extent to which nonlinear statistical methods can improve upon linear regression techniques and upon the accuracy of current weather forecasts.
Descriptors : *STATISTICAL PROCESSES, METHODOLOGY, WEATHER, ACCURACY, WEATHER FORECASTING, NONLINEAR SYSTEMS, LINEAR REGRESSION ANALYSIS, ORTHOGONALITY, FUNCTIONS(MATHEMATICS), UPPER ATMOSPHERE.
Subject Categories : Meteorology
Statistics and Probability
Distribution Statement : APPROVED FOR PUBLIC RELEASE