Using a homogenized daily maximum temperature(Tmax)dataset across China,this study characterized the spa-tiotemporal variation of the onset date of extreme hot days in a year(i.e.,FirstEHD)during 1960-2018.Inho-mogeneous trends of FirstEHD over China during 1960-2018 can be found,with the advanced trend of FirstEHD over most parts in China,while a number of stations in North-Central China(NC)show the delayed trend of FirstEHD.Moreover,there exist interdecadal changes of FirstEHD trend,with a remarkable difference in the trend magnitude before and after the 1990s over South China(SC),and the sign of trend can even reverse from negative to positive after the 1990s in Xinjiang(XJ)and Yangtze River Basin(YR),and from positive to negative in NC.The overall trends of FirstEHD over NC,YR,and XJ during 1960-2018 are dominated by the trends before the 1990s,while they are dominated by the sharp advance after the 1990s over SC.It is further found that the trend of FirstEHD can generally be explained by the long-term trend in Tmax over most parts of China,but the contribution from Tmax variabilities is also non-negligible and can even account for more than 75％of the overall trend over NC.The possible factors responsible for the decadal changes in FirstEHD trends are also discussed.
Extreme hot daysOnset dateTrendDecadal changeVariability of maximum temperature
Yang Yang、Zhaohui Lin、Lifeng Luo、Yan Zhang、Zhen Li
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International Center for Climate and Environment Sciences,Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing,China
University of Chinese Academy of Sciences,Beijing,China
Department of Geography,Environment,and Spatial Sciences,Michigan State University,East Lansing MI,USA
Key Laboratory of Regional Climate-Environment for Temperate East Asia,Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing,China
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极端高温日数 高温初始发生日期 长期趋势 年代际变化 最高气温变率
This work was funded by the National Key Research and De-velopment Program of Chinaand the National Natural Science Foundation of China
Grant number 2017YFA0604304Grant number 41661144032
国家科技期刊平台
NSTL
万方数据
维普
