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Assessment of Runoff Components Simulated by GLDAS against UNH-GRDC Dataset at Global and Hemispheric Scales
Lv, MZ (Lv, Meizhao)1,2; Lu, H (Lu, Hui)1,3; Yang, K (Yang, Kun)1,3,4,5; Xu, ZF (Xu, Zhongfeng)2; Lv, MX (Lv, Meixia)2; Huang, XM (Huang, Xiaomeng)1,3
Source PublicationWATER
2018-08-01
Volume10Issue:8Pages:文献号: 969
DOI10.3390/w10080969
Abstract

The current evaluations of global land data assimilation system (GLDAS) runoff were generally limited to the observation-rich areas. At the global and hemispheric scales, we assessed different runoff components performance of GLDAS (1.0 and 2.1) using the University of New Hampshire and Global Runoff Data Centre (UNH-GRDC) dataset. The results suggest that GLDAS simulations show considerable uncertainties, particularly in partition of surface and subsurface runoffs, in snowmelt runoff modeling, and in capturing the northern peak time. GLDAS1.0-CLM (common land model) produced more surface runoff almost globally; GLDAS-Noah generated more surface runoff over the northern middle-high latitudes and more subsurface runoff in the remaining areas; while the partition in GLDAS1.0-VIC (variable infiltration capacity) is almost opposite to that in Noah. Comparing to GLDAS1.0-Noah, GLDAS2.1-Noah improved the premature snow-melting tendency, but its snowmelt-runoff peak magnitude was excessively high in June and July. The discrepancies in northern primary peak times among precipitation and runoff is partly caused by the combination of rainfall and melting-snow over high-latitude, as well as the very different temporal-spatial distributions for snowmelt runoff simulated by GLDAS models. This paper can provide valuable guidance for GLDAS users, and contribute to the further improvement of hydrological parameterized schemes.

Subject Area地理学
WOS IDWOS:000448462700003
Language英语
Indexed BySCIE
KeywordSoil-moisture Air-temperature Model Assimilation System Climate Anomalies
WOS Research AreaWater Resources
WOS SubjectWater Resources
Cooperation Status国内
ISSN2073-4441
Department环境变化与地表过程重点实验室
PublisherMDPI
Citation statistics
Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.itpcas.ac.cn/handle/131C11/8571
Collection图书馆
Corresponding AuthorLu, H (Lu, Hui)
Affiliation1.Tsinghua Univ, Minist Educ, Key Lab Earth Syst Modeling, Dept Earth Syst Sci, Beijing 100084, Peoples R China;
2.Chinese Acad Sci, Inst Atmospher Phys, Key Lab Reg Climate Environm Temperate East Asia, Beijing 100029, Peoples R China;
3.Joint Ctr Global Change Studies, Beijing 100875, Peoples R China;
4.Chinese Acad Sci, Ctr Excellence Tibetan Plateau Earth Syst, Beijing 100101, Peoples R China;
5.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Tibetan Environm Changes & Land Surface P, Beijing 100101, Peoples R China.
Recommended Citation
GB/T 7714
Lv, MZ ,Lu, H ,Yang, K ,et al. Assessment of Runoff Components Simulated by GLDAS against UNH-GRDC Dataset at Global and Hemispheric Scales[J]. WATER,2018,10(8):文献号: 969.
APA Lv, MZ ,Lu, H ,Yang, K ,Xu, ZF ,Lv, MX ,&Huang, XM .(2018).Assessment of Runoff Components Simulated by GLDAS against UNH-GRDC Dataset at Global and Hemispheric Scales.WATER,10(8),文献号: 969.
MLA Lv, MZ ,et al."Assessment of Runoff Components Simulated by GLDAS against UNH-GRDC Dataset at Global and Hemispheric Scales".WATER 10.8(2018):文献号: 969.
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