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DOI	10.1016/j.jhydrol.2024.130960
	Scaling from global to regional river flow with global hydrological models: Choice matters
	Tu, Tongbi; Wang, Jiahao; Zhao, Gang; Zhao, Tongtiegang; Dong, Xiaoli
通讯作者	Tu, TB ; Zhao, TTG
来源期刊	JOURNAL OF HYDROLOGY
ISSN	0022-1694
EISSN	1879-2707
出版年	2024
卷号	633
英文摘要	High -resolution global flow discharge datasets are critical to understand the terrestrial water cycle and river ecosystem services. Recently, a number of global hydrological models have been developed to capture global river flow dynamics at locally relevant scales. However, the relative accuracy of these simulated flow discharges is largely unknown. In this paper, using the largest observed streamflow datasets from > 26,000 gauging stations, we evaluated the performance of monthly and sub -monthly flow variation (1980-2014) generated from five major global hydrological models, Catchment -based Macro -scale Floodplain model (CaMa-Flood), Global Flood Awareness System (GloFAS-reanalysis), Global Reach -level Flood Reanalysis (GRFR), PCRaster GLOBal Water Balance model (PCR-GLOBWB), and Water Global Assessment and Prognosis (WaterGAP). Significant spatial heterogeneity in model performance was identified. We found that estimates by all five discharge datasets have a relatively high correlation with the observations (medians > 0.6). But none of them showed adequate correlations between simulated and observed flows for systems in Southwest or Central U.S.A., South Africa, or South Australia. Across all models, overestimation of monthly mean flow was more common than underestimation and high flows at a sub -monthly scale were more accurately characterized than low flows. Performance of all models was poor in Africa and Oceania. No single model performed universally best at all gauging stations, but GRFR showed the best estimate at around 40 % of the locations. None of the models provided satisfying estimates for rivers and streams in arid regions. We also found a significant negative effect of flow regulation on the predictive accuracy of all models. Our study highlights the importance of thorough evaluation of global discharge datasets before their local and regional application and provides guidance for future enhancement of global hydrological models.
英文关键词	River flow evaluation Global hydrological model Global river discharge
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001203729000001
WOS关键词	WATER-RESOURCES ; ANNUAL RUNOFF ; PRECIPITATION ; AVAILABILITY ; PERFORMANCE ; ENSEMBLE ; TRENDS
WOS类目	Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
WOS研究方向	Engineering ; Geology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/404567
推荐引用方式 GB/T 7714	Tu, Tongbi,Wang, Jiahao,Zhao, Gang,et al. Scaling from global to regional river flow with global hydrological models: Choice matters[J],2024,633.
APA	Tu, Tongbi,Wang, Jiahao,Zhao, Gang,Zhao, Tongtiegang,&Dong, Xiaoli.(2024).Scaling from global to regional river flow with global hydrological models: Choice matters.JOURNAL OF HYDROLOGY,633.
MLA	Tu, Tongbi,et al."Scaling from global to regional river flow with global hydrological models: Choice matters".JOURNAL OF HYDROLOGY 633(2024).