Changes in consecutive dry/wet days and their relationships with local and remote climate drivers in the coastal area of China

doi:10.1016/j.atmosres.2020.105138

CORC > 烟台海岸带研究所 > 中国科学院烟台海岸带研究所 > 中科院海岸带环境过程与生态修复重点实验室 > 海岸带信息集成与综合管理实验室

	Changes in consecutive dry/wet days and their relationships with local and remote climate drivers in the coastal area of China
	Wang, Xiaoli 1,4,5; Hou, Xiyong 1,4,5; Zhao, Yijing 1,2,3,4,5
刊名	ATMOSPHERIC RESEARCH
	2021
卷号	247 页码:12
关键词	Consecutive dry days Consecutive wet days Spatial pattern Climate driver Trend-free pre-whitening Coastal area of China
ISSN号	0169-8095
DOI	10.1016/j.atmosres.2020.105138
通讯作者	Hou, Xiyong(xyhou@yic.ac.cn)
英文摘要	Being located between Eurasia continent and the western Pacific Ocean, the coastal area of China (hereafter as CAC) is vulnerable to climate change and prone to climate-related disasters. Based on the daily meteorological dataset of 156 stations, variations of consecutive dry days (CDD) and consecutive we days (CWD) and their relationships with local and remote climate drivers from 1961 to 2017 over CAC were investigated. Results showed that the multi-year averages in CDD and CWD were 22.5-93.7 and 3.4-11.8 days, generally presenting a "high north and low south" and "low north and high south" spatial pattern, respectively. The decadal trend rates in CDD and CWD were - 4.5-2.7 and - 0.7-0.6 days per decade, respectively, both showing universal insignificant change trends over CAC. There was a significant negatively correlation between CDD and precipitation at partial of meteorological stations clustered in Guangxi autonomous region, and a predominantly significant positive relationship between CWD and precipitation over CAC. Both CDD and CWD correlated significantly with Multivariate ENSO Index (MEI) and Southern Oscillation Index (SOI) in parts of northern coastal areas close to the sea, while a common insignificant linkage was detected between CDD/CWD and large-scale circulation indices such as North Atlantic Oscillation (NAO), Northern Oscillation Index (NOI), Atlantic Multidecadal Oscillation (AMO) and Pacific Decadal Oscillation (PDO) over CAC. Results from this paper are anticipated to provide insights into the drought/flood disaster risk mitigation and prevention as well as water resources management in the coastal area of China.
资助项目	Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19060205] ; National Natural Science Foundation of China[41901133] ; Shandong Key Laboratory of Coastal Environmental Processes, YICCAS[2019SDHADKFJJ04]
WOS关键词	EXTREME PRECIPITATION EVENTS ; PEARL RIVER-BASIN ; ATLANTIC MULTIDECADAL OSCILLATION ; NINO SOUTHERN-OSCILLATION ; LARGE-SCALE ; EL-NINO ; EASTERN CHINA ; UNITED-STATES ; TEMPERATURE ; TRENDS
WOS研究方向	Meteorology & Atmospheric Sciences
语种	英语
WOS记录号	WOS:000586020600004
资助机构	Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China ; Shandong Key Laboratory of Coastal Environmental Processes, YICCAS
内容类型	期刊论文
源URL	[http://ir.yic.ac.cn/handle/133337/27519]
专题	烟台海岸带研究所_海岸带信息集成与综合管理实验室烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室
通讯作者	Hou, Xiyong
作者单位	1.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Shandong Key Lab Coastal Environm Proc, Yantai 264003, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Ludong Univ, Sch Resources & Environm Engn, Yantai 264025, Peoples R China 4.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China 5.Chinese Acad Sci, Ctr Ocean Megasci, Qingdao 266071, Peoples R China
推荐引用方式 GB/T 7714	Wang, Xiaoli,Hou, Xiyong,Zhao, Yijing. Changes in consecutive dry/wet days and their relationships with local and remote climate drivers in the coastal area of China[J]. ATMOSPHERIC RESEARCH,2021,247:12.
APA	Wang, Xiaoli,Hou, Xiyong,&Zhao, Yijing.(2021).Changes in consecutive dry/wet days and their relationships with local and remote climate drivers in the coastal area of China.ATMOSPHERIC RESEARCH,247,12.
MLA	Wang, Xiaoli,et al."Changes in consecutive dry/wet days and their relationships with local and remote climate drivers in the coastal area of China".ATMOSPHERIC RESEARCH 247(2021):12.