摘要
基于1961—2020年广东省86个国家自动气象站的日最高气温数据,采用一种客观识别方法,对广东省群发性高温事件进行回算识别,结果得到广东省群发性高温事件呈显著增长趋势,且在1990年代发生一次年代际突变,群发性高温事件主要发生在4—10月,其频次、强度、持续时间和空间影响范围等特征参数均呈现以7月为最盛期的类单峰式分布。值得关注的是,近60年来广东群发性短历时高温事件呈略微减少趋势,而长历时(≥6天)的事件数呈现显著增加趋势,这给政府的防灾减灾造成更大的难度。
Based on the daily maximum temperature data during 1961—2020 from 86 national meteorological observation stations in Guangdong Province,an objective method was introduced to identify cluster high temperature events.The intra-annual variations and changing trends of frequency,intensity,duration,and spatial influence range in each event were revealed.The results showed that the cluster high temperature events in Guangdong Province occurred from April to October each year.A quasi-unimodal distribution with peak in July was shown in the intra-annual characteristics of frequency,intensity,duration,and spatial influence range.Overall,cluster high temperature events in Guangdong increased significantly in both time and space scales,with an abrupt increase in the 1990s.It is noteworthy that the frequency of short-duration cluster high temperature events slightly decreased,whereas that of the long-duration equivalent significantly increased over the recent 60 years.Such change poses a greater challenge to local government’s disaster prevention and mitigation work and thus deserves more attention.
作者
李芷卉
胡娅敏
LI Zhihui;HU Yamin(Climate Center of Guangdong Province,Guangzhou 510641,China)
出处
《热带气象学报》
CSCD
北大核心
2023年第1期37-46,共10页
Journal of Tropical Meteorology
基金
广东省基础与应用基础研究重大项目(2020B0301030004)
国家重点基础研究发展计划项目(2018YFA0606203)
中国气象局创新发展专项(CXFZ2021Z034、CXFZ2021J026)
中国气象局预报员专项(CMAYBY2020-094)
广东省气象局面上项目(GRMC2019M11)
广东省科技计划项目(20180207)共同资助。