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The Effect of Elevation Bias in Interpolated Air Temperature Data Sets on Surface Warming in China During 1951-2015
Wang, Tingting1,2; Sun, Fubao1,2,3; Ge, Quansheng2,4; Kleidon, Axel5; Liu, Wenbin1
2018-02-27
Source PublicationJOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
ISSN2169-897X
Volume123Issue:4Pages:2141-2151
Corresponding AuthorSun, Fubao(sunfb@igsnrr.ac.cn)
AbstractAlthough gridded air temperature data sets share much of the same observations, different rates of warming can be detected due to different approaches employed for considering elevation signatures in the interpolation processes. Here we examine the influence of varying spatiotemporal distribution of sites on surface warming in the long-term trend and over the recent warming hiatus period in China during 1951-2015. A suspicious cooling trend in raw interpolated air temperature time series is found in the 1950s, and 91% of which can be explained by the artificial elevation changes introduced by the interpolation process. We define the regression slope relating temperature difference and elevation difference as the bulk lapse rate of -5.6 degrees C/km, which tends to be higher (-8.7 degrees C/km) in dry regions but lower (-2.4 degrees C/km) in wet regions. Compared to independent experimental observations, we find that the estimated monthly bulk lapse rates work well to capture the elevation bias. Significant improvement can be achieved in adjusting the interpolated original temperature time series using the bulk lapse rate. The results highlight that the developed bulk lapse rate is useful to account for the elevation signature in the interpolation of site-based surface air temperature to gridded data sets and is necessary for avoiding elevation bias in climate change studies.
DOI10.1002/2017JD027510
WOS KeywordLAPSE RATES ; VARIABILITY
Indexed BySCI
Language英语
Funding ProjectNational Key Research and Development Program of China[2016YFA0602402] ; National Key Research and Development Program of China[2016YFC0401401] ; Key Programs of the Chinese Academy of Sciences[ZDRW-ZS-2017-3-1] ; Open Research Fund of State Key Laboratory of Desert and Oasis Ecology in Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences (CAS) ; National Natural Science Foundation of China[41401037] ; CAS Pioneer Hundred Talents Program
Funding OrganizationNational Key Research and Development Program of China ; Key Programs of the Chinese Academy of Sciences ; Open Research Fund of State Key Laboratory of Desert and Oasis Ecology in Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences (CAS) ; National Natural Science Foundation of China ; CAS Pioneer Hundred Talents Program
WOS Research AreaMeteorology & Atmospheric Sciences
WOS SubjectMeteorology & Atmospheric Sciences
WOS IDWOS:000427774500003
PublisherAMER GEOPHYSICAL UNION
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/57167
Collection中国科学院地理科学与资源研究所
Corresponding AuthorSun, Fubao
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China
3.Hexi Univ, Ecol Inst Qilian Mt, Zhangye, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing, Peoples R China
5.Max Planck Inst Biogeochem, Jena, Germany
Recommended Citation
GB/T 7714
Wang, Tingting,Sun, Fubao,Ge, Quansheng,et al. The Effect of Elevation Bias in Interpolated Air Temperature Data Sets on Surface Warming in China During 1951-2015[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2018,123(4):2141-2151.
APA Wang, Tingting,Sun, Fubao,Ge, Quansheng,Kleidon, Axel,&Liu, Wenbin.(2018).The Effect of Elevation Bias in Interpolated Air Temperature Data Sets on Surface Warming in China During 1951-2015.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,123(4),2141-2151.
MLA Wang, Tingting,et al."The Effect of Elevation Bias in Interpolated Air Temperature Data Sets on Surface Warming in China During 1951-2015".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 123.4(2018):2141-2151.
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