Spatial and Temporal Patterns of the Extreme Precipitation across the Tibetan Plateau (1986-2015)
Xiong, Junnan2,3; Yong, Zhiwei4; Wang, Zegen4; Cheng, Weiming1,2; Li, Yi5; Zhang, Hao3; Ye, Chongchong3; Yang, Yanmei3
刊名WATER
2019-07-01
卷号11期号:7页码:24
关键词extreme precipitation spatial and temporal patterns Tibetan Plateau ecosystems ENSO
ISSN号2073-4441
DOI10.3390/w11071453
通讯作者Yong, Zhiwei(yongzhiwei100@163.com) ; Wang, Zegen(zegen01@126.com)
英文摘要The Tibetan Plateau is one of the most vulnerable areas to extreme precipitation. In recent decades, water cycles have accelerated, and the temporal and spatial characteristics of extreme precipitation have undergone dramatic changes across the Tibetan Plateau, especially in its various ecosystems. However, there are few studies that considered the variation of extreme precipitation in various ecosystems, and the impact of El Nino-Southern Oscillation (ENSO), and few researchers have made a quantitative analysis between them. In this study, we analyzed the spatial and temporal pattern of 10 extreme precipitation indices across the Tibetan Plateau (including its four main ecosystems: Forest, alpine meadow, alpine steppe, and desert steppe) based on daily precipitation from 76 meteorological stations over the past 30 years. We used the linear least squares method and Pearson correlation coefficient to examine variation magnitudes of 10 extreme precipitation indices and correlation. Temporal pattern indicated that consecutive wet days (CWD) had a slightly decreasing trend (slope = -0.006), consecutive dry days (CDD), simple daily intensity (SDII), and extreme wet day precipitation (R99) displayed significant increasing trends, while the trends of other indices were not significant. For spatial patterns, the increasing trends of nine extreme precipitation indices (excluding CDD) occurred in the southwestern, middle and northern regions of the Tibetan Plateau; decreasing trends were distributed in the southeastern region, while the spatial pattern of CDD showed the opposite distribution. As to the four different ecosystems, the number of moderate precipitation days (R10mm), number of heavy precipitation days (R20mm), wet day precipitation (PRCPTOT), and very wet day precipitation (R95) in forest ecosystems showed decreasing trends, but CDD exhibited a significant increasing trend (slope = 0.625, P < 0.05). In the other three ecosystems, all extreme precipitation indices generally exhibited increasing trends, except for CWD in alpine meadow (slope = -0.001) and desert steppe (slope = -0.005). Furthermore, the crossover wavelet transform indicated that the ENSO had a 4-year resonance cycle with R95, SDII, R20mm, and CWD. These results provided additional evidence that ENSO play an important remote driver for extreme precipitation variation in the Tibetan Plateau.
资助项目Strategic Priority Research Program of Chinese Academy of Sciences[XDA20030302] ; Open Subject of Big Data Institute of Digital Natural Disaster Monitoring in Fujian[NDMBD2018003] ; National Flash Flood Investigation and Evaluation Project[SHZH-IWHR-57] ; China Geological Survey Project[DD20190637] ; Southwest Petroleum University of Science and Technology Innovation Team Projects[2017CXTD09] ; Science and Technology Project of the Xizang Autonomous Region[XZ201901-GA-07]
WOS关键词GLOBAL WATER CYCLE ; RIVER-BASIN ; REGIONAL TEMPERATURE ; CHINA ; VARIABILITY ; CLIMATE ; TRENDS ; NDVI ; INTENSIFICATION ; IDENTIFICATION
WOS研究方向Water Resources
语种英语
出版者MDPI
WOS记录号WOS:000480632300138
资助机构Strategic Priority Research Program of Chinese Academy of Sciences ; Open Subject of Big Data Institute of Digital Natural Disaster Monitoring in Fujian ; National Flash Flood Investigation and Evaluation Project ; China Geological Survey Project ; Southwest Petroleum University of Science and Technology Innovation Team Projects ; Science and Technology Project of the Xizang Autonomous Region
内容类型期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/68810]  
专题中国科学院地理科学与资源研究所
通讯作者Yong, Zhiwei; Wang, Zegen
作者单位1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
3.Southwest Petr Univ, Sch Civil Engn & Architecture, Chengdu 610500, Sichuan, Peoples R China
4.Southwest Petr Univ, Sch Geosci & Technol, Chengdu 610500, Sichuan, Peoples R China
5.Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Xiong, Junnan,Yong, Zhiwei,Wang, Zegen,et al. Spatial and Temporal Patterns of the Extreme Precipitation across the Tibetan Plateau (1986-2015)[J]. WATER,2019,11(7):24.
APA Xiong, Junnan.,Yong, Zhiwei.,Wang, Zegen.,Cheng, Weiming.,Li, Yi.,...&Yang, Yanmei.(2019).Spatial and Temporal Patterns of the Extreme Precipitation across the Tibetan Plateau (1986-2015).WATER,11(7),24.
MLA Xiong, Junnan,et al."Spatial and Temporal Patterns of the Extreme Precipitation across the Tibetan Plateau (1986-2015)".WATER 11.7(2019):24.
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