With questions arising about the insurability of coastal communities in the future, risk management requires more robust quantification as to how the climate change affects TCs dynamics. It is therefore important to develop TC models that are computationally efficient to provide a full distribution of outcomes for the present and future.
Here, we present a global TC wind model based upon statistical models forced with 10 variables from the 40 members of the Community Earth System Model (CESM) Large Ensemble (LE). The model provides a full description of the frequency, spatial cyclogenesis patterns, tracks and intensities from 1980 to 2060 under the RCP 8.5 emissions scenario. The resulting event sets can therefore be used for risk management in the financial services industry.
We find that future frequency of TCs in the North Atlantic is heavily dependent upon how Sea Surface Temperature (SST) and vorticity are accounted for to generate cyclogenesis patterns. Nevertheless, we obtain a larger proportion of Cat. 4-5 storms in the future independently on how SST and vorticity are accounted for with greater intensification along the Gulf of Mexico and the east coast of the U.S. This is consistent with a projected increase (decrease) in the SST (wind shear) over those regions in the CESM-LE. Finally, we find that, especially for Cat. 4+ hurricanes, population growth and climate change should both contribute significantly to the increase in TC risk.

