globalchange  > 气候减缓与适应
DOI: 10.1002/2017JD027510
Scopus记录号: 2-s2.0-85042472849
论文题名:
The Effect of Elevation Bias in Interpolated Air Temperature Data Sets on Surface Warming in China During 1951–2015
作者: Wang T.; Sun F.; Ge Q.; Kleidon A.; Liu W.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2018
卷: 123, 期:4
起始页码: 2141
结束页码: 2151
语种: 英语
英文关键词: climate change ; elevation bias ; gridded air temperature ; lapse rate
Scopus关键词: air temperature ; climate change ; data set ; elevation ; interpolation ; long-term change ; spatiotemporal analysis ; time series ; warming ; China
英文摘要: Although 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°C/km, which tends to be higher (−8.7°C/km) in dry regions but lower (−2.4°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. ©2018. American Geophysical Union. All Rights Reserved.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/114437
Appears in Collections:气候减缓与适应

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作者单位: Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Science and Natural Resources Research, Chinese Academy of Sciences, Beijing, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China; Ecology Institute of Qilian Mountain, Hexi University, Zhangye, China; Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China; Max Planck Institute for Biogeochemistry, Jena, Germany

Recommended Citation:
Wang T.,Sun F.,Ge Q.,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,2018-01-01,123(4)
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