Arid
DOI10.1007/s00376-016-5213-0
Ensemble simulation of land evapotranspiration in China based on a multi-forcing and multi-model approach
Liu, Jianguo1,2; Jia, Binghao2; Xie, Zhenghui2; Shi, Chunxiang3
通讯作者Jia, Binghao
来源期刊ADVANCES IN ATMOSPHERIC SCIENCES
ISSN0256-1530
EISSN1861-9533
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 NiEeno 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
国家Peoples R China
收录类别SCI-E
WOS记录号WOS:000373789800002
WOS关键词DATA ASSIMILATION SYSTEM ; GLOBAL DATA SETS ; SOIL-MOISTURE ; PART I ; TERRESTRIAL ECOSYSTEMS ; SURFACE MODELS ; CLIMATE ; PRECIPITATION ; PROJECT ; SCALE
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
来源机构中国科学院大气物理研究所
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/190974
作者单位1.Huaihua Univ, Sch Math & Computat Sci, Ctr High Performance Comp, Huaihua 418008, Hunan, Peoples R China;
2.Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci & Geop, Beijing 100029, Peoples R China;
3.China Meteorol Adm, Natl Meteorol Informat Ctr, Beijing 100081, Peoples R China
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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]. 中国科学院大气物理研究所,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.
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