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Isolating the Influence of Climate Bias on Extreme Events Using Initialized Ensembles
Authors
Ramalingam Saravanan, Texas A&M
Abstract
One of the important applications of global climate models is to predict anticipated changes in the statistical properties of extreme events. Tropical cyclones (TCs) are among the extreme events with the greatest socioeconomic impacts in the United States and other regions of the world. Although coarse-resolution global climate models are not capable of simulating individual TCs accurately, they do exhibit significant skill in simulating the interannual and decadal variations in the aggregate statistics of TCs. We propose to analyze and simulated extremes in E3SM, with a focus on TC activity on the Northern Hemisphere.
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