Evaluation of streamflow simulation results of land surface models in GLDAS on the Tibetan plateau

doi:10.1002/2016JD025501

	Evaluation of streamflow simulation results of land surface models in GLDAS on the Tibetan plateau
	Bai, Peng 1; Liu, Xiaomang 1; Yang, Tiantian 2; Liang, Kang 1; Liu, Changming 1
刊名	JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
	2016-10-27
卷号	121 期号:20 页码:12180-12197
关键词	GLDAS Tibetan Plateau streamflow simulation model evaluation land surface model
ISSN号	2169-897X
DOI	10.1002/2016JD025501
通讯作者	Liu, Xiaomang(liuxm@igsnrr.ac.cn)
英文摘要	The Global Land Data Assimilation System (GLDAS) project estimates long-term runoff based on land surface models (LSMs) and provides a potential way to solve the issue of nonexistent streamflow data in gauge-sparse regions such as the Tibetan Plateau (TP). However, the reliability of GLDAS runoff data must be validated before being practically applied. In this study, the streamflows simulated by four LSMs (CLM, Noah, VIC, and Mosaic) in GLDAS coupled with a river routing model are evaluated against observed streamflows in five river basins on the TP. The evaluation criteria include four aspects: monthly streamflow value, seasonal cycle of streamflow, annual streamflow trend, and streamflow component partitioning. The four LSMs display varying degrees of biases in monthly streamflow simulations: systematic overestimations are found in the Noah (1.74bias2.75) and CLM (1.22bias2.53) models, whereas systematic underestimations are observed in the VIC (0.36bias0.85) and Mosaic (0.34bias0.66) models. The Noah model shows the best performance in capturing the temporal variation in monthly streamflow and the seasonal cycle of streamflow, while the VIC model performs the best in terms of bias statistics. The Mosaic model provides the best performance in modeling annual runoff trends and runoff component partitioning. The possible reasons for the different performances of the LSMs are discussed in detail. In order to achieve more accurate streamflow simulations from the LSMs in GLDAS, suggestions are made to further improve the accuracy of the forcing data and parameterization schemes in all models.
资助项目	Natural Science Foundation of China[41330529] ; Natural Science Foundation of China[41571024] ; Natural Science Foundation of China[41201034] ; program for Bingwei Excellent Talents, Institute of Geographic Sciences and Natural Resources Research, CAS[2013RC202]
WOS关键词	DATA ASSIMILATION SYSTEM ; GENERAL-CIRCULATION MODELS ; GLOBAL VEGETATION MODELS ; MISSISSIPPI RIVER-BASIN ; COMMUNITY CLIMATE MODEL ; SOIL-MOISTURE ; UNITED-STATES ; BASEFLOW SEPARATION ; HYDROLOGICAL MODELS ; WATER-BALANCE
WOS研究方向	Meteorology & Atmospheric Sciences
语种	英语
出版者	AMER GEOPHYSICAL UNION
WOS记录号	WOS:000388293100023
资助机构	Natural Science Foundation of China ; program for Bingwei Excellent Talents, Institute of Geographic Sciences and Natural Resources Research, CAS
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/65602]
专题	中国科学院地理科学与资源研究所
通讯作者	Liu, Xiaomang
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China 2.Univ Calif Irvine, Dept Civil & Environm Engn, Irvine, CA USA
推荐引用方式 GB/T 7714	Bai, Peng,Liu, Xiaomang,Yang, Tiantian,et al. Evaluation of streamflow simulation results of land surface models in GLDAS on the Tibetan plateau[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2016,121(20):12180-12197.
APA	Bai, Peng,Liu, Xiaomang,Yang, Tiantian,Liang, Kang,&Liu, Changming.(2016).Evaluation of streamflow simulation results of land surface models in GLDAS on the Tibetan plateau.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,121(20),12180-12197.
MLA	Bai, Peng,et al."Evaluation of streamflow simulation results of land surface models in GLDAS on the Tibetan plateau".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 121.20(2016):12180-12197.