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This proposed study examines the potential use of satellite passive microwave rainfall measurements derived from Special Sensor Microwave/Imager (SSM/I) radiometers onboard the Defense Meteorological Satellite Program (DMSP) constellation to improve eastern North Pacific Ocean tropical cyclone intensity change forecasting techniques. Relationships between parameters obtained from an operational SSM/I-based rainfall measuring algorithm and 12-, 24-, 36-, 48-, 60- and 72-hour intensity changes from best track data records are examined in an effort to identify statistically significant predictors of intensity change. Correlations between rainfall parameters and intensity change are analyzed using tropical cyclone data from three years, 1992 to 1994. Stratifications based upon tropical cyclone intensity, rate of intensity change, climatology, translation, landfall and synoptic-scale environmental forcing variables are studied to understand factors that may affect a statistical relationship between rainfall parameters and intensity change. The predictive skill of statistically significant rainfall parameters is assessed by using independent tropical cyclone data from another year, 1995. In addition, case studies on individual tropical cyclones are conducted to gain insight on predictive performance and operational implementation issues.
Tropical cyclones are the most impressive and best phenomenon of the tropics, and this book fills a need for a thorough detailed book on the subject, concentrating on the remote sensing results on both initial and mature forms of tropical cyclones. It provides a comprehensive description of the physical, geophysical and meteorological foundations of global tropical cyclogenesis. The author emphasises the physical aspects necessary to judge the possibilities and limitations of monitoring mitigation methods, and includes numerous applications and illustrations from up-to-date airborne and satellite experiments.
November issue includes abridged index to yearly volume.