Wang, Xiaoli1,2,3; Hou, Xiyong1,2,3
; Zhao, Yijing1,2,3,4,5发表期刊ATMOSPHERIC RESEARCH
ISSN0169-8095
2021
卷号247页码:12
关键词Consecutive dry daysConsecutive wet daysSpatial patternClimate driverTrend-free pre-whiteningCoastal area of China
DOI10.1016/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
收录类别SCI
语种英语
关键词[WOS]EXTREME PRECIPITATION EVENTS; PEARL RIVER-BASIN; ATLANTIC MULTIDECADAL OSCILLATION; NINO SOUTHERN-OSCILLATION; LARGE-SCALE; EL-NINO; EASTERN CHINA; UNITED-STATES; TEMPERATURE; TRENDS
研究领域[WOS]Meteorology & Atmospheric Sciences
WOS记录号WOS:000586020600004
引用统计被引频次：3[WOS][WOS记录][WOS相关记录]
文献类型期刊论文
条目标识符http://ir.yic.ac.cnhttp://ir.yic.ac.cn/handle/133337/27520
专题中科院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心
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, Yantai 264003, Peoples R China
2.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
3.Chinese Acad Sci, Ctr Ocean Megasci, Qingdao 266071, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
5.Ludong Univ, Sch Resources & Environm Engn, Yantai 264025, Peoples R China
推荐引用方式
GB/T 7714Wang, 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.
APAWang, 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.
MLAWang, 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.
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