Spatiotemporal variability of extreme precipitation in east of northwest China and associated large-scale circulation factors

被引:6
作者
Guo, Yuhong [1 ,2 ]
Yan, Xiaodong [2 ]
Song, Shuaifeng [2 ]
机构
[1] Zaozhuang Univ, Coll Tourism Resources & Environm, Zaozhuang 277160, Peoples R China
[2] Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
关键词
ENW; EPIs; Spatiotemporal characteristics; Trend; Large-scale circulation factors; TRENDS; TEMPERATURE; OSCILLATION; EVENTS;
D O I
10.1007/s11356-023-31790-0
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Spatial and temporal distributions and influencing factors of extreme precipitation are important bases for coping with future climate change. The spatiotemporal variability and affecting factors of extreme precipitation indices (EPIs) in east of northwest China (ENW) during 1961-2015 were investigated using a series of approaches such as modified Mann-Kendall trend test, Hurst exponent, ensemble empirical mode decomposition (EEMD), and geodetector model. The results showed that CDD and CWD decreased significantly (P < 0.01), with rates of 1.4 days/decade and 0.07 days/decade, respectively. EPIs in ENW exhibited an obvious heterogeneity. CDD gradually increased from the southeast to the northwest. The remaining EPIs generally showed the opposite trend. Geodetector results demonstrated that large-scale circulation factors had a significant impact on EPIs in ENW. The influence of large-scale climate factors on EPIs was concentrated in nonlinear enhancement, and Nino3.4 and SO were the dominant driving factors that played a major role in the variability of EPIs. The results of this study provided a reference for ENW and other arid and semi-arid regions to cope with extreme climates and develop corresponding strategies.
引用
收藏
页码:11749 / 11765
页数:17
相关论文
共 59 条
[51]  
[姚慧茹 Yao Huiru], 2017, [气象学报, Acta Meteorologica Sinica], V75, P384
[52]   Analysis on Precipitation Efficiency of the "21.7" Henan Extremely Heavy Rainfall Event [J].
Yin, Lei ;
Ping, Fan ;
Mao, Jiahua ;
Jin, Shuanggen .
ADVANCES IN ATMOSPHERIC SCIENCES, 2023, 40 (03) :374-392
[53]   Mapping the increased minimum mortality temperatures in the context of global climate change [J].
Yin, Qian ;
Wang, Jinfeng ;
Ren, Zhoupeng ;
Li, Jie ;
Guo, Yuming .
NATURE COMMUNICATIONS, 2019, 10 (1)
[54]   The Mann-Kendall test modified by effective sample size to detect trend in serially correlated hydrological series [J].
Yue, S ;
Wang, CY .
WATER RESOURCES MANAGEMENT, 2004, 18 (03) :201-218
[55]   Impact of PDO and AMO on interdecadal variability in extreme high temperatures in North China over the most recent 40-year period [J].
Zhang, Guwei ;
Zeng, Gang ;
Li, Chun ;
Yang, Xiaoye .
CLIMATE DYNAMICS, 2020, 54 (5-6) :3003-3020
[56]   Influence of solar activity and EI Nino-Southern Oscillation on precipitation extremes, streamflow variability and flooding events in an arid-semiarid region of China [J].
Zhang, Lin ;
Liu, Yanfeng ;
Zhan, Hongbin ;
Jin, Menggui ;
Liang, Xing .
JOURNAL OF HYDROLOGY, 2021, 601
[57]   Significant Increases in Extreme Precipitation and the Associations with Global Warming over the Global Land Monsoon Regions [J].
Zhang, Wenxia ;
Zhou, Tianjun .
JOURNAL OF CLIMATE, 2019, 32 (24) :8465-8488
[58]   Observed changes in extreme precipitation over the Tienshan Mountains and associated large-scale climate teleconnections [J].
Zhang, Xueqi ;
Chen, Yaning ;
Fang, Gonghuan ;
Li, Yupeng ;
Li, Zhi ;
Wang, Fei ;
Xia, Zhenhua .
JOURNAL OF HYDROLOGY, 2022, 606
[59]   2021: A Year of Unprecedented Climate Extremes in Eastern Asia, North America, and Europe [J].
Zhou, Tianjun ;
Zhang, Wenxia ;
Zhang, Lixia ;
Clark, Robin ;
Qian, Cheng ;
Zhang, Qinghong ;
Qiu, Hui ;
Jiang, Jie ;
Zhang, Xing .
ADVANCES IN ATMOSPHERIC SCIENCES, 2022, 39 (10) :1598-1607