热带气象学报2026，Vol.42Issue(2)：261-273,13.DOI:10.16032/j.issn.1004-4965.2026.023
2008-2023年影响厦门市的台风统计特征
Statistical Characteristics of Typhoons Affecting Xiamen from 2008 to 2023
摘要
Abstract
Based on the routine meteorological observation data in the Xiamen region and the China Meteorological Administration-Shanghai Typhoon Institute(CMA-STI)tropical cyclone best path dataset,this study systematically analyzes the statistical characteristics of typhoons affecting Xiamen from 2008 to 2023.The results show that:(1)There were a total of 55 typhoons affecting Xiamen from 2008 to 2023,with an annual average of 3.4,mainly concentrated from July to September.78%of these typhoons made landfall in Fujian,Taiwan,and Guangdong.(2)Within a range of 300 km from Xiamen,precipitation and strong winds are primarily induced by their intrinsic effects.Typhoons positioned west of Xiamen exhibit a significantly higher propensity to trigger short-duration heavy precipitation.The closer a typhoon was to Xiamen and the greater its intensity,the stronger the wind it induced.Within the range of 300～600 km,there was a 10.9%probability of generating localized short-duration heavy rainfall when the typhoon was in the northwest quadrant.Typhoons to the south of Xiamen,particularly in autumn and when interacting with cold air,were more conducive to stronger winds.(3)Most of the precipitation caused by typhoons was unevenly distributed,with the strongest impact lasting for about a day and over 75%of typhoons accompanied by short-term heavy rainfall weather.Half of the typhoons could cause average winds of level 8 or above,gusts of level 10 or above,and most typhoons had short duration strong winds with limited impact and concentrated effects.The correlation between precipitation and strong winds remains weak,indicating that most high-impact typhoons affecting Xiamen are mainly affected by precipitation.关键词
台风/风雨强度/统计分析Key words
typhoon/intensity of rainfall and strong gale/statistical analysis分类
天文与地球科学引用本文复制引用
荀爱萍,赵玉春,朱婧,王婧,吴毅楠..2008-2023年影响厦门市的台风统计特征[J].热带气象学报,2026,42(2):261-273,13.基金项目
厦门市自然科学基金(3502Z202573107、3502Z202573338) （3502Z202573107、3502Z202573338）
福建省自然科学基金项目(2023J011338、2021J01464、2023J05061、2023J05060)共同资助 （2023J011338、2021J01464、2023J05061、2023J05060）
