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作 者:LI Yu-meng ZHAN Rui-fen DING Yi-hui 李雨萌;占瑞芬;丁一汇
机构地区:[1]Department of Atmospheric/Institute of Ecology and Environmental Sciences,Qinghai Institute of Technology,Xining 810008 China [2]Department of Atmospheric and Ocean Sciences/Institute of Atmospheric Sciences,Fudan University,Shanghai 200438 China [3]National Climate Center and Laboratory for Climate Studies,China Meteorological Administration,Beijing 100081 China
出 处:《Journal of Tropical Meteorology》2025年第1期75-86,共12页热带气象学报(英文版)
基 金:Guangdong Major Project of Basic and Applied Basic Research(2020B0301030004);National Natural Science Foundation of China(41875114);Science and Technology Commission of Shanghai Municipality,China(23DZ1204703)。
摘 要:The rapid intensification(RI)magnitude of tropical cyclones(TCs)over the western North Pacific(WNP)exhibits significant interannual variability and is influenced by multiple factors across various scales.These factors primarily include:interannual factors—sea surface temperature(SST)in key regions of the WNP,eastern Indian Ocean SST,El Niño-Southern Oscillation(ENSO),South Pacific Subtropical Dipole(SPSD),and western Pacific teleconnection;decadal factors—Atlantic Multidecadal Oscillation(AMO)and Pacific Decadal Oscillation(PDO);and longer-term factor—global warming.This study systematically analyzes these factors and their potential impacts,quantitatively assessing their relative importance.A statistical prediction model for the WNP TC-RI magnitude is developed based on ridge regression methods.The results indicate that the influence of these factors on the RI magnitude is closely related to the large-scale thermodynamic and dynamic conditions.Among them,the SPSD plays the most critical role in the interannual variability of the RI magnitude,followed by global warming and the AMO.Further analysis reveals that the statistical prediction model based on multiple factors demonstrates good predictive skill for the interannual variability of the TC RI magnitude.
关 键 词:western North Pacific tropical cyclone rapid intensification interannual variability multis-cale factors
分 类 号:P444[天文地球—大气科学及气象学]
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