干旱区生态环境知识资源中心(Arid): Inter-Comparison of Multiple Gridded Precipitation Datasets over Different Climates at Global Scale

Arid

DOI	10.3390/w16111553
	Inter-Comparison of Multiple Gridded Precipitation Datasets over Different Climates at Global Scale
	Qi, Wenyan; Wang, Shuhong; Chen, Jianlong
通讯作者	Qi, WY
来源期刊	WATER
EISSN	2073-4441
出版年	2024
卷号	16 期号:11
英文摘要	Comprehensive evaluations of global precipitation datasets are imperative for gaining insights into their performance and potential applications. However, the existing evaluations of global precipitation datasets are often constrained by limitations regarding the datasets, specific regions, and hydrological models used for hydrologic predictions. The accuracy and hydrological utility of eight precipitation datasets (including two gauged-based, five reanalysis and one merged precipitation datasets) were evaluated on a daily timescale from 1982 to 2015 in this study by using 2404 rain gauges, 2508 catchments, and four lumped hydrological models under varying climatic conditions worldwide. Specifically, the characteristics of different datasets were first analyzed. The accuracy of precipitation datasets at the site and regional scale was then evaluated with daily observations from 2404 gauges and two high-resolution gridded gauge-interpolated regional datasets. The effectiveness of precipitation datasets in runoff simulation was then assessed by using 2058 catchments around the world in combination with four conceptual hydrological models. The results show that: (1) all precipitation datasets demonstrate proficiency in capturing the interannual variability of the annual mean precipitation, but with magnitudes deviating by up to 200 mm/year among the datasets; (2) the precipitation datasets directly incorporating daily gauge observations outperform the uncorrected precipitation datasets. The Climate Precipitation Center dataset (CPC), Global Precipitation Climatology Center dataset (GPCC) and multi-source weighted-ensemble precipitation V2 (MSWEP V2) can be considered the best option for most climate regions regarding the accuracy of precipitation datasets; (3) the performance of hydrological models driven by different datasets is climate dependent and is notably worse in arid regions (with median Kling-Gupta efficiency (KGE) ranging from 0.39 to 0.65) than in other regions. The MSWEP V2 posted a stable performance with the highest KGE and Nash-Sutcliffe Efficiency (NSE) values in most climate regions using various hydrological models.
英文关键词	global gridded precipitation hydrological models climatic conditions evaluation
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:001246633800001
WOS关键词	GAUGE OBSERVATIONS ; HYDROLOGIC MODEL ; RIVER-BASIN ; SATELLITE ; PRODUCTS ; TRMM ; UNCERTAINTIES ; PERFORMANCE ; TEMPERATURE ; VALIDATION
WOS类目	Environmental Sciences ; Water Resources
WOS研究方向	Environmental Sciences & Ecology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/405873
推荐引用方式 GB/T 7714	Qi, Wenyan,Wang, Shuhong,Chen, Jianlong. Inter-Comparison of Multiple Gridded Precipitation Datasets over Different Climates at Global Scale[J],2024,16(11).
APA	Qi, Wenyan,Wang, Shuhong,&Chen, Jianlong.(2024).Inter-Comparison of Multiple Gridded Precipitation Datasets over Different Climates at Global Scale.WATER,16(11).
MLA	Qi, Wenyan,et al."Inter-Comparison of Multiple Gridded Precipitation Datasets over Different Climates at Global Scale".WATER 16.11(2024).