Abstract
AbstractOften, rainfall-induced flooding has been the greatest factor influencing property loss and loss of life in major tropical cyclone events. However, a lack of an extensive historical rainfall record has long served as an obstacle to furthering the understanding of tropical cyclone–related rainfall. Advances have been made in the last few decades in rainfall observational techniques, allowing for the development of robust statistical tropical cyclone rainfall models. However, these current models are unable to capture statistical variability in rainfall intensities (i.e., only mean rainfall rates can be predicted) or they cannot simulate rainfall over land. A new tropical cyclone rainfall model is developed herein using satellite rainfall observations, in which the tropical cyclone rainfall is modeled through a Weibull distribution conditioned upon maximum surface wind speed and sea surface temperature (SST). Satellites are able to capture rainfall observations in the most extreme events, unlike sur...
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