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DOI	10.1016/j.ejrh.2022.101105
	Assessment of global reanalysis precipitation for hydrological modelling in data-scarce regions: A case study of Kenya
	Wanzala, Maureen A.; Ficchi, Andrea; Cloke, Hannah L.; Stephens, Elisabeth M.; Badjana, Heou M.; Lavers, David A.
通讯作者	Wanzala, MA
来源期刊	JOURNAL OF HYDROLOGY-REGIONAL STUDIES
EISSN	2214-5818
出版年	2022
卷号	41
英文摘要	Study region: 19 flood prone catchments in Kenya, Eastern AfricaStudy focus: Flooding is a major natural hazard especially in developing countries, and the need for timely, reliable, and actionable hydrological forecasts is paramount. Hydrological modelling is essential to produce forecasts but is a challenging task, especially in poorly gauged catchments, because of the inadequate temporal and spatial coverage of hydro-meteorological observations. Open access global meteorological reanalysis datasets can fill in this gap, however they have significant errors. This study assesses the performance of four reanalysis datasets (ERA5, ERA Interim, CFSR and JRA55) over Kenya for the period 1981-2016 on daily, monthly, seasonal, and annual timescales. We firstly evaluate the reanalysis datasets by comparing them against observations from the Climate Hazards group Infrared Precipitation with Station. Secondly, we evaluate the ability of these reanalysis datasets to simulate streamflow using GR4J model considering both model performance and parameters sensitivity and identifiability.New hydrological insights for the region: While ERA5 is the best performing dataset overall, performance varies by season, and catchment and therefore there are marked differences in the suitability of reanalysis products for forcing hydrological models. Overall, wetland catchments in the western regions and highlands of Kenya obtained relatively better scores compared to those in the semi-arid regions, this can inform future applications of reanalysis products for setting up hydrological models that can be used for flood forecasting, early warning, and early action in data scarce regions, such as Kenya.
英文关键词	Reanalysis data Kenyan catchments Model calibration Model performance Sensitivity analysis Model suitability index
类型	Article
语种	英语
开放获取类型	Green Published, Green Accepted, gold
收录类别	SCI-E
WOS记录号	WOS:000806894200005
WOS关键词	SENSITIVITY-ANALYSIS ; RAINFALL PRODUCTS ; EAST-AFRICA ; ERA-INTERIM ; DATA SETS ; PERFORMANCE ; SATELLITE ; TEMPERATURE ; RUNOFF ; RESOLUTION
WOS类目	Water Resources
WOS研究方向	Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/393521
推荐引用方式 GB/T 7714	Wanzala, Maureen A.,Ficchi, Andrea,Cloke, Hannah L.,et al. Assessment of global reanalysis precipitation for hydrological modelling in data-scarce regions: A case study of Kenya[J],2022,41.
APA	Wanzala, Maureen A.,Ficchi, Andrea,Cloke, Hannah L.,Stephens, Elisabeth M.,Badjana, Heou M.,&Lavers, David A..(2022).Assessment of global reanalysis precipitation for hydrological modelling in data-scarce regions: A case study of Kenya.JOURNAL OF HYDROLOGY-REGIONAL STUDIES,41.
MLA	Wanzala, Maureen A.,et al."Assessment of global reanalysis precipitation for hydrological modelling in data-scarce regions: A case study of Kenya".JOURNAL OF HYDROLOGY-REGIONAL STUDIES 41(2022).