Multistage spatiotemporal variability of temperature extremes over South China from 1961 to 2018

被引:7
作者
Wang, Leidi [1 ]
Hu, Fei [1 ]
Hu, Jing [1 ]
Chen, Chen [2 ]
Liu, Xian [3 ]
Zhang, Dingling [4 ]
Chen, Tingting [1 ]
Miao, Yuchen [1 ]
Zhang, Lei [1 ]
机构
[1] South China Agr Univ, Coll Agr, Guangzhou 510642, Peoples R China
[2] China Meteorol Adm, Lab Typhoon Forecast Tech, Shanghai Typhoon Inst, Shanghai 200030, Peoples R China
[3] Southern Illinois Univ Carbondale, Sch Earth Syst & Sustainabil, Carbondale, IL 62901 USA
[4] Northwest A&F Univ, Coll Sci, Yangling 712100, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
ZHUJIANG RIVER-BASIN; CLIMATE-CHANGE; RICE YIELDS; PRECIPITATION; TRENDS; URBANIZATION; EVENTS; INCREASE; IMPACTS; HEAT;
D O I
10.1007/s00704-021-03728-4
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The variability of air temperature extremes exerts a great influence on agricultural production and the global hydrologic cycle. It has been the focus of attention for the past several decades. Using observed surface air temperature from 192 meteorological stations in South China maintained by the China Meteorological Administration, this study computed and analyzed 10 extreme temperature indices and the mean temperature at multiple spatiotemporal scales for the period from 1961 to 2018. These indices were analyzed with particular reference to the growing season of rice. Results showed that the variation trends of all annual indices exhibited different north-south patterns across decades, and the most recent 20-year period experienced greater warming than previous periods. The regional averaged rates of the annual mean maximum temperature, the annual mean minimum temperature, summer days, and tropical nights were 0.163 degrees C decade(-1), 0.197 degrees C decade(-1), 1.2 days decade(-1), and 5.4 days decade(-1), respectively. Except for the month of April, the southern region mostly experienced stronger warming than the northern region, especially in summer and autumn. Nighttime warming was usually greater than daytime warming, especially in June and October. Most temperature indices showed very weak correlations with large-scale atmospheric oscillations.
引用
收藏
页码:243 / 256
页数:14
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