Spatiotemporal variability of temperature and precipitation in Gansu Province (Northwest China) during 1951-2015
Wen, Xiaohu1; Wu, Xiaoqing2; Gao, Meng2; Gao, Meng(Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Shandong, Peoples R China)
Source PublicationATMOSPHERIC RESEARCH
ISSN0169-8095
2017-11-15
Volume197Pages:132-149
KeywordClimate Extreme Trend Spatial Pattern Periodicity Atmospheric Circulation
MOST Discipline CatalogueMeteorology & Atmospheric Sciences
DOI10.1016/j.atmosres.2017.07.001
Contribution Rank第2完成单位
Department海岸带信息集成与综合管理实验室
AbstractClimate change is potentially challenging the sustainable development in many parts of the world, especially the semi-arid and arid regions on the earth. Northwest China (NWC) is one of the most arid areas in East Asia, and Gansu Province is located at the important climate transition zone in NWC. Spatiotemporal variability of both temperature and precipitation were analyzed based on the daily observation dataset at 29 meteorological stations over Gansu during 1951-2015. The Mann - Kendall trend test was utilized to detect monotonic trends in extreme climate indices, mean temperature, and total precipitation. The results revealed that the warming trends were statistically significant at most stations in Gansu, especially at the high altitude stations; however, the change trends in annual and seasonal precipitation over Gansu were not significant as expected. Furthermore, the 29 stations were spatially grouped using hierarchical clustering method. The regional-averaged temperature anomalies also showed a significant warming trend beginning at the end of 1970s. Spatial variations were also observed in the annual and seasonal precipitation over Gansu. In general, precipitation increased in the western part of Gansu while decreased in the eastern part. Additionally, the wavelet analyses revealed that the tele-connection between large scale circulation and summer precipitation varied not only from region to region, but also was different at different time scale and different time periods. Analysis of large-scale atmospheric circulation changes showed that a strengthening anticyclonic circulation, increasing geopotential height and rapid warming over the Eurasian continent were considered to be attributable to climate change in Gansu and even in NWC.
SubtypeArticle
Funding OrganizationYouth Innovation Promotion Association, CAS(2016195) ; CAS(KZCX2-EW-QN209, QYZDJ-SSW-DQC031) ; S & T Service Network Initiative(KFJ-EW-STS-127-2) ; National Natural Science Foundation of China(31570423)
Indexed BySCI
Language英语
WOS KeywordCIRCUMGLOBAL TELECONNECTION ; EXTREME PRECIPITATION ; SUMMER RAINFALL ; TRENDS ; CLIMATE ; MONSOON ; 20TH-CENTURY ; REGION ; INDEXES ; EVENTS
WOS Research AreaMeteorology & Atmospheric Sciences
WOS IDWOS:000412250700011
Citation statistics
Cited Times:80[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.yic.ac.cn/handle/133337/23443
Collection中国科学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
Corresponding AuthorGao, Meng; Gao, Meng(Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Shandong, Peoples R China)
Affiliation1.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Gansu, Peoples R China
2.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Shandong, Peoples R China
Recommended Citation
GB/T 7714
Wen, Xiaohu,Wu, Xiaoqing,Gao, Meng,et al. Spatiotemporal variability of temperature and precipitation in Gansu Province (Northwest China) during 1951-2015[J]. ATMOSPHERIC RESEARCH,2017,197:132-149.
APA Wen, Xiaohu,Wu, Xiaoqing,Gao, Meng,&Gao, Meng.(2017).Spatiotemporal variability of temperature and precipitation in Gansu Province (Northwest China) during 1951-2015.ATMOSPHERIC RESEARCH,197,132-149.
MLA Wen, Xiaohu,et al."Spatiotemporal variability of temperature and precipitation in Gansu Province (Northwest China) during 1951-2015".ATMOSPHERIC RESEARCH 197(2017):132-149.
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