An environmentally forced tropical cyclone hazard model

نویسندگان

  • Chia-Ying Lee
  • Michael K. Tippett
  • Adam H. Sobel
  • Suzana J. Camargo
چکیده

A physics-based statistical stochastic system is developed for estimating the long-term hazard of rare, high impact landfall events globally from ensembles of synthetic tropical cyclones. There are three components representing the complete storm lifetime: an index-based genesis model, a beta-advection track model and an autoregressive intensity model. All three components depend upon the local environmental conditions, including potential intensity, relative sea surface temperature, 850 and 250 hPa steering flow, deep-layer mean vertical shear, 850 hPa vorticity, and midlevel relative humidity. The hazard model, using 400 realizations of a 32-year period (approximately 3000 storms per realization), captures many aspects of tropical cyclone statistics, such as genesis and track density distribution. Of particular note, it simulates the observed number of rapidly intensifying storms, a challenging issue in tropical cyclone modeling and prediction. Using the return period curve of landfall intensity as a measure of local tropical cyclone hazard, the model reasonably simulates the hazard in the western north Pacific (coastal regions of the Philippines, China, Taiwan, and Japan) and the Caribbean islands. In other regions, the observed return period curve can be captured considering a local landfall frequency adjustment. 15

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تاریخ انتشار 2017