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DOI | 10.3390/w10080969 |
Assessment of Runoff Components Simulated by GLDAS against UNH-GRDC Dataset at Global and Hemispheric Scales | |
Lv, Meizhao; Lu, Hui; Yang, Kun; Xu, Zhongfeng; Lv, Meixia; Huang, Xiaomeng | |
通讯作者 | Lu, H (通讯作者) |
发表日期 | 2018 |
ISSN | 2073-4441 |
卷号 | 10期号:8 |
英文摘要 | 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. |
关键词 | SOIL-MOISTUREAIR-TEMPERATUREMODELASSIMILATIONSYSTEMCLIMATEANOMALIES |
英文关键词 | runoff component simulation; peak time; snowmelt; global and hemispheric scales; GLDAS |
语种 | 英语 |
WOS研究方向 | Environmental Sciences & Ecology ; Water Resources |
WOS类目 | Environmental Sciences ; Water Resources |
WOS记录号 | WOS:000448462700003 |
来源期刊 | WATER |
来源机构 | 中国科学院青藏高原研究所 |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/259179 |
推荐引用方式 GB/T 7714 | Lv, Meizhao,Lu, Hui,Yang, Kun,et al. Assessment of Runoff Components Simulated by GLDAS against UNH-GRDC Dataset at Global and Hemispheric Scales[J]. 中国科学院青藏高原研究所,2018,10(8). |
APA | Lv, Meizhao,Lu, Hui,Yang, Kun,Xu, Zhongfeng,Lv, Meixia,&Huang, Xiaomeng.(2018).Assessment of Runoff Components Simulated by GLDAS against UNH-GRDC Dataset at Global and Hemispheric Scales.WATER,10(8). |
MLA | Lv, Meizhao,et al."Assessment of Runoff Components Simulated by GLDAS against UNH-GRDC Dataset at Global and Hemispheric Scales".WATER 10.8(2018). |
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