干旱区生态环境知识资源中心(Arid): Ensemble Simulation of Land Evapotranspiration in China Based on a Multi-Forcing and Multi-Model Approach

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	Ensemble Simulation of Land Evapotranspiration in China Based on a Multi-Forcing and Multi-Model Approach
	Liu Jianguo; Jia Binghao; Xie Zhenghui; Shi Chunxiang
来源期刊	Advances in Atmospheric Sciences
ISSN	0256-1530
出版年	2016
卷号	33 期号:6 页码:673-684
英文摘要	In order to reduce the uncertainty of offline land surface model (LSM) simulations of land evapotranspiration (ET), we used ensemble simulations based on three meteorological forcing datasets [Princeton, ITPCAS (Institute of Tibetan Plateau Research, Chinese Academy of Sciences), Qian] and four LSMs (BATS, VIC, CLM3.0 and CLM3.5), to explore the trends and spatiotemporal characteristics of ET, as well as the spatiotemporal pattern of ET in response to climate factors over mainland China during 1982-2007. The results showed that various simulations of each member and their arithmetic mean (Ens Mean) could capture the spatial distribution and seasonal pattern of ET sufficiently well, where they exhibited more significant spatial and seasonal variation in the ET compared with observation-based ET estimates (Obs MTE). For the mean annual ET, we found that the BATS forced by Princeton forcing overestimated the annual mean ET compared with Obs MTE for most of the basins in China, whereas the VIC forced by Princeton forcing showed underestimations. By contrast, the Ens Mean was closer to Obs MTE, although the results were underestimated over Southeast China. Furthermore, both the Obs MTE and Ens Mean exhibited a significant increasing trend during 1982-98; whereas after 1998, when the last big EI Nino event occurred, the Ens Mean tended to decrease significantly between 1999 and 2007, although the change was not significant for Obs MTE. Changes in air temperature and shortwave radiation played key roles in the long-term variation in ET over the humid area of China, but precipitation mainly controlled the long-term variation in ET in arid and semi-arid areas of China.
英文关键词	land evapotranspiration ensemble simulations multi-forcing and multi-model approach spatiotemporal variation uncertainty
类型	Article
语种	英语
收录类别	CSCD
WOS研究方向	Meteorology & Atmospheric Sciences
CSCD记录号	CSCD:5666622
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/335624
作者单位	Liu Jianguo, High Performance Computing Center, School of Mathematics and Computational Science, Huaihua University, State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Huaihua, Hunan 418008, China.; Jia Binghao, Institute of Atmospheric Physics, Chinese Academy of Sciences, State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Beijing 100029, China.; Xie Zhenghui, Institute of Atmospheric Physics, Chinese Academy of Sciences, State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Beijing 100029, China.; Shi Chunxiang, National Meteorological Information Center, China Meteorological Administration, Beijing 100081, China.
推荐引用方式 GB/T 7714	Liu Jianguo,Jia Binghao,Xie Zhenghui,et al. Ensemble Simulation of Land Evapotranspiration in China Based on a Multi-Forcing and Multi-Model Approach[J],2016,33(6):673-684.
APA	Liu Jianguo,Jia Binghao,Xie Zhenghui,&Shi Chunxiang.(2016).Ensemble Simulation of Land Evapotranspiration in China Based on a Multi-Forcing and Multi-Model Approach.Advances in Atmospheric Sciences,33(6),673-684.
MLA	Liu Jianguo,et al."Ensemble Simulation of Land Evapotranspiration in China Based on a Multi-Forcing and Multi-Model Approach".Advances in Atmospheric Sciences 33.6(2016):673-684.