TY - JOUR
T1 - An Environment-Dependent Probabilistic Tropical Cyclone Model
AU - Jing, Renzhi
AU - Lin, Ning
N1 - Funding Information:
This study is supported by Grants 1652448 from the National Science Foundation and NA14OAR4320106 from the National Oceanic and Atmospheric Administration, U.S. Department of Commerce. The statements, findings, conclusions, and recommendations herein are those of the authors and do not necessarily reflect the views of the National Science Foundation, the National Oceanic and Atmospheric Administration, or the U.S. Department of Commerce.
Publisher Copyright:
© 2020. The Authors.
PY - 2020/3/1
Y1 - 2020/3/1
N2 - The Princeton environment-dependent probabilistic tropical cyclone (PepC) model is developed for generating synthetic tropical cyclones (TCs) to support TC risk assessment. PepC consists of three components: a hierarchical Poisson genesis model, an analog-wind track model, and a Markov intensity model. The three model components are dependent on environmental variables that vary with the climate, including potential intensity, advection flow, vertical wind shear, relative humidity, and ocean-cooling parameters. The present model is developed for the North Atlantic Basin. The three model components and the integrated model are verified against observations using out-of-sample testing. The model can generally capture the TC climatology and reproduce statistics of TC genesis, movement, rapid intensification, and lifetime maximum intensity, as well as local landfall frequency and intensity. It can be coupled with climate models and TC hazard models to quantify TC-related wind, surge, and rainfall risks under various climate conditions. The modeling framework can be further improved when more relevant environmental variables are identified and become available in climate model outputs.
AB - The Princeton environment-dependent probabilistic tropical cyclone (PepC) model is developed for generating synthetic tropical cyclones (TCs) to support TC risk assessment. PepC consists of three components: a hierarchical Poisson genesis model, an analog-wind track model, and a Markov intensity model. The three model components are dependent on environmental variables that vary with the climate, including potential intensity, advection flow, vertical wind shear, relative humidity, and ocean-cooling parameters. The present model is developed for the North Atlantic Basin. The three model components and the integrated model are verified against observations using out-of-sample testing. The model can generally capture the TC climatology and reproduce statistics of TC genesis, movement, rapid intensification, and lifetime maximum intensity, as well as local landfall frequency and intensity. It can be coupled with climate models and TC hazard models to quantify TC-related wind, surge, and rainfall risks under various climate conditions. The modeling framework can be further improved when more relevant environmental variables are identified and become available in climate model outputs.
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U2 - 10.1029/2019MS001975
DO - 10.1029/2019MS001975
M3 - Article
AN - SCOPUS:85082176719
SN - 1942-2466
VL - 12
JO - Journal of Advances in Modeling Earth Systems
JF - Journal of Advances in Modeling Earth Systems
IS - 3
M1 - e2019MS001975
ER -