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Building a Bayesian Space- and Climate-Dependent Model of Tropical Cyclone Landfalls (in Plain English)

Articles | AIR Currents Article
March 15, 2016

Research Scientist Suz Tolwinski-Ward examines a specific use of Bayesian modeling to estimate the annual probability of tropical cyclone landfalls as a function of climate state and location along the coast of North America. Her research is a part of ongoing efforts at AIR to study the impact of climate on catastrophe risk and to develop more physical modeling approaches.
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