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DOI	10.1016/j.jhydrol.2022.128920
	How well do the multi-satellite and atmospheric reanalysis products perform in hydrological modelling
	Gu, Lei; Yin, Jiabo; Wang, Sheng; Chen, Jie; Qin, Hui; Yan, Xiao; He, Shaokun; Zhao, Tongtiegang
通讯作者	Yin, JB
来源期刊	JOURNAL OF HYDROLOGY
ISSN	0022-1694
EISSN	1879-2707
出版年	2023
卷号	617
英文摘要	Multi-satellite, gauge-based and atmospheric reanalysis precipitation and temperature datasets with increasing spatiotemporal resolution are proliferating in recent decades. Their estimation accuracy has been evaluated in several areas, but their applications in global hydrological monitoring and modelling have been poorly under-stood so far. Here, we focus on the performance of the recently released Multi-Source Weighted-Ensemble Precipitation, version 2 (MSWEP V2) and the atmospheric reanalysis ERA5 temperature in modelling daily river discharge over 10,596 global catchments. Four lumped models including XAJ, GR4J, HMETS, and HBV are employed to take different model conceptual schemes into consideration. Moreover, different streamflow con-ditions including the peak timing and volumes of both high and low flows are evaluated to reveal further dy-namics. The results show that: (a) the MSWEP V2 and ERA5 combination yields satisfactory performance in global streamflow simulation with at least one candidate model exhibiting Kling-Gupta efficiency (KGE) > 0.5 at both calibration and validation periods for each catchment; (b) better simulation skills are achieved in temperate, cold, polar, and tropical Ko center dot ppen-Geiger climate zones, whereas the arid zone has poorer performance; (c) the XAJ, GR4J, and HMETS models with different degree of realisms have their own merits in simulating both daily mean flow and wet flow conditions but perform less satisfactorily in low flow conditions, while the HBV exhibits consistently poor performance in various flow conditions over most catchments. Our findings highlight the importance of selecting appropriate hydrological models by considering both climatic and geophysical condi-tions and targeting streamflow metrics, and suggest the potential of using multi-satellite and atmospheric reanalysis datasets as observed alternatives for quasi-global hydrological modelling.
英文关键词	Satellite precipitation Atmospheric reanalysis Hydrological models Runoff simulation Global
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000906859400001
WOS关键词	GLOBAL WATER-RESOURCES ; SENSITIVITY-ANALYSIS ; RUNOFF-MODEL ; A SIMPLE ; PART 2 ; PRECIPITATION ; RAINFALL ; GAUGE ; TEMPERATURE ; DATASET
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/2XILL650/397386
推荐引用方式 GB/T 7714	Gu, Lei,Yin, Jiabo,Wang, Sheng,et al. How well do the multi-satellite and atmospheric reanalysis products perform in hydrological modelling[J],2023,617.
APA	Gu, Lei.,Yin, Jiabo.,Wang, Sheng.,Chen, Jie.,Qin, Hui.,...&Zhao, Tongtiegang.(2023).How well do the multi-satellite and atmospheric reanalysis products perform in hydrological modelling.JOURNAL OF HYDROLOGY,617.
MLA	Gu, Lei,et al."How well do the multi-satellite and atmospheric reanalysis products perform in hydrological modelling".JOURNAL OF HYDROLOGY 617(2023).