Tropical cyclone landfalls in the Northwest Pacific under global warming

IF 3.5 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES International Journal of Climatology Pub Date : 2024-10-08 DOI:10.1002/joc.8616
So-Hee Kim, Joong-Bae Ahn
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Abstract

This study projects the changes in tropical cyclone (TC) landfalls in the western North Pacific under shared socioeconomic pathway (SSPs) scenarios during the TC peak season by using low-resolution global climate models participating in the Coupled Model Intercomparison Project phase 6 (CMIP6). Projections are based on the relationship between mid- and lower-level atmospheric circulation and TC landfall frequency during the historical period from 1985 to 2014 and the future climate period from 2015 to 2100. The landfall areas for TCs are divided into northern East Asia (NEA), middle East Asia (MEA) and southern East Asia (SEA); the TC peak seasons are July–September for NEA and MEA, and July–November for SEA. To evaluate reproducibility, both ensemble and individual model outputs for mid- and lower-level atmospheric circulations associated with TC landfall in each East Asian subregion are compared to the reanalysis. An ensemble of seven models with stable results for all three regions is more reasonable in simulating atmospheric circulation patterns than an ensemble of all CMIP6 models. The findings suggest that TC landfall is projected to increase by about 12% and 32% in NEA and MEA, respectively, in the late 21st century under the SSP5-8.5 scenario compared to the historical period, while decreasing by 13% in SEA. These changes are consistent under both warming scenarios, and are more pronounced in the SSP5-8.5 scenario compared to SSP1-2.6, particularly in the later period of this century. An analysis of future atmospheric circulations suggests that global warming will weaken the western North Pacific subtropical high and cause its boundary to retreat eastward. This will lead to changes in the steering flow, which is closely related to TC tracks, resulting in TC landfalls to increase or decrease depending on the East Asian subregion.

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全球变暖条件下西北太平洋热带气旋登陆情况
本研究利用参与耦合模式相互比较项目第 6 阶段(CMIP6)的低分辨率全球气候模式,预测在共同社会经济路径(SSPs)情景下,热带气旋(TC)在热带气旋高峰季节登陆北太平洋西部的变化。预测基于 1985 至 2014 年历史时期和 2015 至 2100 年未来气候时期中低层大气环流与热带气旋登陆频率之间的关系。热带气旋登陆地区分为东亚北部、东亚中部和东亚南部;东亚北部和东亚中部的热带气旋高峰季节为 7 月至 9 月,东亚南部为 7 月至 11 月。为了评估再现性,将东亚各次区域与热带气旋登陆相关的中低层大气环流的集合和单个模式输出结果与再分析结果进行了比较。在模拟大气环流模式方面,对所有三个地区都有稳定结果的七个模式的集合比所有 CMIP6 模式的集合更合理。研究结果表明,与历史同期相比,在 SSP5-8.5 情景下,预计 21 世纪晚期热带气旋登陆在东北亚和中东部地区将分别增加约 12% 和 32%,而在东南部地区将减少 13%。这些变化在两种变暖情景下都是一致的,与 SSP1-2.6 相比,SSP5-8.5 情景下的变化更为明显,尤其是在本世纪后期。对未来大气环流的分析表明,全球变暖将削弱北太平洋西部副热带高压,并导致其边界向东退缩。这将导致与热带气旋路径密切相关的转向流发生变化,从而导致热带气旋登陆的增加或减少,具体取决于东亚次区域。
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来源期刊
International Journal of Climatology
International Journal of Climatology 地学-气象与大气科学
CiteScore
7.50
自引率
7.70%
发文量
417
审稿时长
4 months
期刊介绍: The International Journal of Climatology aims to span the well established but rapidly growing field of climatology, through the publication of research papers, short communications, major reviews of progress and reviews of new books and reports in the area of climate science. The Journal’s main role is to stimulate and report research in climatology, from the expansive fields of the atmospheric, biophysical, engineering and social sciences. Coverage includes: Climate system science; Local to global scale climate observations and modelling; Seasonal to interannual climate prediction; Climatic variability and climate change; Synoptic, dynamic and urban climatology, hydroclimatology, human bioclimatology, ecoclimatology, dendroclimatology, palaeoclimatology, marine climatology and atmosphere-ocean interactions; Application of climatological knowledge to environmental assessment and management and economic production; Climate and society interactions
期刊最新文献
Issue Information Issue Information Hydrologic Responses to Climate Change and Implications for Reservoirs in the Source Region of the Yangtze River Tropical cyclone landfalls in the Northwest Pacific under global warming Evaluation and projection of changes in temperature and precipitation over Northwest China based on CMIP6 models
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