Accession Number : AD0761379
Title : Typhoon and Tropical Storm Intensity Forecasts Using Statistical Regression Equations.
Descriptive Note : Master's thesis,
Corporate Author : NAVAL POSTGRADUATE SCHOOL MONTEREY CALIF
Personal Author(s) : Coltrane,Glenn Gray
Report Date : MAR 1973
Pagination or Media Count : 58
Abstract : Statistical regression equations were derived to predict future 24-hour changes in intensity of tropical storms and typhoons in the western North Pacific. The predictors were chosen from 55 parameters available at six-hourly observations of tropical storms and typhoons during the period 1960-1969. Two five-predictor equations, which require only 12 hours of history, can predict intensity for the majority of storms within the period July-September, and give significantly better results than current intensity forecast methods.
Descriptors : (*MARINE METEOROLOGY, *PACIFIC OCEAN), (*TROPICAL CYCLONES, WEATHER FORECASTING), (*WEATHER FORECASTING, REGRESSION ANALYSIS), WIND, MATHEMATICAL PREDICTION, THESES
Subject Categories : Meteorology
Distribution Statement : APPROVED FOR PUBLIC RELEASE