Global ETD Search

1	Probabilities of runs of consecutive dry days in weather phenomena Singhal, Jai Prakash January 2011 (has links) Digitized by Kansas State University Libraries Statistical weather forecasting Probabilities
2	Characteristics of the deviations in the 500 mb height field Gergye, Aaron. January 1979 (has links) No description available. Statistical weather forecasting.
3	A non-linear statistical model for predicting short range temperature George, Ponnattu Kurian 12 1900 (has links) No description available. Statistical weather forecasting
4	A numerical evaluation of TIROS-N and NOAA-6 analyses in a high resolution limited area model Derber, John Charles. January 1981 (has links) Thesis (M.S.)--University of Wisconsin--Madison, 1981. / Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 51-53). Statistical weather forecasting.
5	Characteristics of the deviations in the 500 mb height field Gergye, Aaron. January 1979 (has links) No description available. Statistical weather forecasting.
6	Stagewise and stepwise regression techniques in meteorological forecasting Hess, H. Allen January 1978 (has links) No description available. Statistical weather forecasting. Regression analysis.
7	Stagewise and stepwise regression techniques in meteorological forecasting Hess, H. Allen January 1978 (has links) No description available. Regression analysis. Statistical weather forecasting.
8	Statistical surface wind forecasting at Goodnoe Hills, Washington Curtis, Joel C. 09 March 1983 (has links) Multiple linear regression was used to develop equations for 12-, 24-, and 36-hour surface wind forecasts for the wind energy site at Goodnoe Hills. Equations were derived separately for warm and cool seasons. The potential predictors included LFM II model output, MOS surface wind forecasts extrapolated from surrounding stations, pressure observations corrected to mean sea level, and two types of climatological variables. Forecasts of wind speed and direction were formulated for an independent sample of predictands and predictors. The forecasts were evaluated using standard methods of forecast verification and the results are summarized in terms of several verification scores. Comparisons of scores were made by season, projection time, and cycle (or preparation) time, and some patterns were evident in the scores with respect to these stratifications. The minimum value of the mean absolute error attained by the forecast system presented here was 5.64 mph for a 12-hour, cool season forecast equation. The minimum value of the root mean square error was 7.57 mph for a 12-hour, warm season forecast equation. Comparison of these results with the results of other statistical wind forecasting studies indicates that the forecast equations for Goodnoe Hills are of comparable accuracy to the equations developed for other wind energy sites. Suggestions for future investigations of statistical wind forecasting are offered as well as recommendations concerning ways of improving the forecasting system described in this study. / Graduation date: 1983 Wind forecasting -- Statistical methods Statistical weather forecasting
9	Cloud droplet growth by stochastic coalescence. Chu, Lawrence Dit Fook January 1971 (has links) No description available. Cloud physics Atmospheric nucleation Statistical weather forecasting.
10	An investigation of the potential of component analysis for weather classification Christensen, Walter Ivan, January 1966 (has links) Thesis (Ph. D.)--University of Wisconsin, 1966. / eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (p. 88-89).

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