检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:张书惠 华维 陈活泼[2] ZHANG Shuhui;HUA Wei;CHEN Huopo(School of Atmospheric Sciences/Plateau Atmosphere and Environment Key Laboratory of Sichuan Province/Engineering Laboratory of Meteorological Disasters Prediction and Early Warning of Sichuan Province,Chengdu University of Information Technology,Chengdu 610225,China;Nansen-Zhu International Research Centre,Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029,China)
机构地区:[1]成都信息工程大学大气科学学院/高原大气与环境四川省重点实验室/四川省气象灾害预测预警工程实验室,四川成都610225 [2]中国科学院大气物理研究所竺可桢-南森国际研究中心,北京100029
出 处:《大气科学学报》2024年第2期300-312,共13页Transactions of Atmospheric Sciences
基 金:国家自然科学基金资助项目(42088101,42075021)。
摘 要:随着全球变暖加剧,复合湿热天气在世界各地呈现显著加剧趋势,中国东部也是极端湿热事件的高发区。为更好了解中国复合湿热事件的变化特征,基于1961—2020年中国日最高湿球温度观测数据,利用趋势分析、小波功率谱分析和广义极值分布分析等方法,对中国日最高湿球温度的时空变化特征进行了深入分析。结果表明:1)1961—2020年中国日最高湿球温度平均值和最大值主要呈“南高北低”的分布特点,最大值高值区集中在中国南部和四川盆地。全国日最高湿球温度平均值呈增强趋势,最大值无明显的变化趋势。全国平均值有2~6 a尺度的周期震荡,全国最大值在多个时间段和时间尺度有短周期。2)全国极端湿热阈值分布与日最高湿球温度最大值比较类似,极端湿热强度呈现增强趋势,全国极端湿热频次也以0.098 d/a的速率增多。西北东部地区极端湿热强度增强幅度最大,但南方地区呈减弱趋势;西北东部、南方和东北地区极端湿热频次持续增多。3)多年一遇事件的阈值分布同样与最大值分布类似,多年一遇事件频次呈现显著的区域特征,多年一遇事件主要发生在四川盆地,其中西北东部地区显著增多,南方地区有减少趋势。In recent years,the occurrence of compound humid-heat weather has been increasing worldwide due to global warming.These events predominantly affect subtropical coastal areas,posing significant threats to the environment,economy,and various other aspects.Eastern China,in particular,is highly susceptible to such extreme,compound humid-heat events.Neglecting the influence of humidity on high-temperature weather could lead to a serious underestimation of the associated hazard level.Given China s vast territory,the distribution and variation of humid-heat events can vary across different regions.In eastern China,a substantial population is exposed to perilous humid-heat conditions.Therefore,it is crucial to study the changing characteristics of humid-heat events in China.This study aims to explore the spatial-temporal changing patterns of compound humid-heat events across China from 1961 to 2020 using daily maximum wet-bulb temperature(WBT).WBT was calculated from daily relative humidity,daily maximum temperature,and daily mean pressure.Results indicated that:(1)Both the mean and maximal daily maximum WBT in China exhibit a similar spatial pattern,with warmer temperatures in the south and cooler temperatures in the north.The regions of southern China and the Sichuan Basin emerge as hotspots for maximal daily WBT.While the mean daily maximum WBT shows an upward trend,the maximal daily maximum WBT does not exhibit a significant trend.The mean daily maximum WBT generally exhibits a 2—6 year period,whereas the maximal daily maximum WBT has relatively shorter periods.Meanwhile,changes in mean daily maximal WBT and maximal daily maximum WBT vary across different regions of China.Both the mean daily maximum WBT and the maximal daily maximum WBT show a decreasing trend in eastern Xinjiang,while they both increase rapidly in eastern Northwest China.The mean daily maximum WBT increases slightly in southern China and eastern Northwest China,while the maximal daily maximum WBT increases in northeastern China and decreases in so
分 类 号:P467[天文地球—大气科学及气象学]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.222