{"title":"A Dynamical Downscaling Framework for Tropical Cyclone Activity Over the Western North Pacific","authors":"Pingan Wang, Chao Wang, Liguang Wu, Jian Cao, Haikun Zhao","doi":"10.1029/2024JD041946","DOIUrl":null,"url":null,"abstract":"<p>Due to the limited theoretical framework for tropical cyclone (TC) formation, the current downscaling strategies for TC activity face challenges in accurately capturing climate variations in TC genesis and the subsequent track and intensity in the western North Pacific (WNP). In this study, we introduce the recently developed dynamical genesis potential index (DGPI) into a new downscaling framework for TC activity in the WNP. Our findings indicate that the framework effectively reproduces the mean spatial distribution of TC genesis and track frequency, along with the frequency distribution of TC intensity. It also demonstrates strong skill in simulating variations in TC genesis, track, and intensity related to the El Niño-Southern Oscillation. Additionally, the temporal evolution of TC genesis frequency, track frequency, peak intensity, and power dissipation index in the WNP from 1979 to 2022 aligns closely with observations, showing significant correlation coefficients of 0.67, 0.75, 0.61, and 0.65, respectively. These results confirm the robustness of the downscaling framework in capturing both the mean and temporal features of TC activity in the WNP. Furthermore, an initial application to historical CMIP6 simulations suggests that climate change has contributed significantly to the poleward shift in TC activity from 1900 to 2014, driven by an El Niño-like sea surface temperature warming pattern. Given that this downscaling system relies solely on large-scale conditions and operates independently of historical observations, it offers a promising approach for investigating TC behavior in eras lacking reliable observations and in future warming scenarios.</p>","PeriodicalId":15986,"journal":{"name":"Journal of Geophysical Research: Atmospheres","volume":"129 24","pages":""},"PeriodicalIF":3.8000,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Geophysical Research: Atmospheres","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1029/2024JD041946","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Due to the limited theoretical framework for tropical cyclone (TC) formation, the current downscaling strategies for TC activity face challenges in accurately capturing climate variations in TC genesis and the subsequent track and intensity in the western North Pacific (WNP). In this study, we introduce the recently developed dynamical genesis potential index (DGPI) into a new downscaling framework for TC activity in the WNP. Our findings indicate that the framework effectively reproduces the mean spatial distribution of TC genesis and track frequency, along with the frequency distribution of TC intensity. It also demonstrates strong skill in simulating variations in TC genesis, track, and intensity related to the El Niño-Southern Oscillation. Additionally, the temporal evolution of TC genesis frequency, track frequency, peak intensity, and power dissipation index in the WNP from 1979 to 2022 aligns closely with observations, showing significant correlation coefficients of 0.67, 0.75, 0.61, and 0.65, respectively. These results confirm the robustness of the downscaling framework in capturing both the mean and temporal features of TC activity in the WNP. Furthermore, an initial application to historical CMIP6 simulations suggests that climate change has contributed significantly to the poleward shift in TC activity from 1900 to 2014, driven by an El Niño-like sea surface temperature warming pattern. Given that this downscaling system relies solely on large-scale conditions and operates independently of historical observations, it offers a promising approach for investigating TC behavior in eras lacking reliable observations and in future warming scenarios.
期刊介绍:
JGR: Atmospheres publishes articles that advance and improve understanding of atmospheric properties and processes, including the interaction of the atmosphere with other components of the Earth system.