干旱区生态环境知识资源中心(Arid): Evaluation of Rainfall Products in Semi-Arid Areas: Application to the Southeast of the Republic of Djibouti and a Focus on the Ambouli Catchment

Arid

DOI	10.3390/w15122168
	Evaluation of Rainfall Products in Semi-Arid Areas: Application to the Southeast of the Republic of Djibouti and a Focus on the Ambouli Catchment
	Omar, Golab Moussa; Paturel, Jean-Emmanuel; Salles, Christian; Mahe, Gil; Jalludin, Mohamed; Satge, Frederic; Nour, Mohamed Ismail
通讯作者	Omar, GM
来源期刊	WATER
EISSN	2073-4441
出版年	2023
卷号	15 期号:12
英文摘要	The Republic of Djibouti is a small country in the Horn of Africa and, as in most developing countries, rain gauges are sparse and data are scarce. This study aims to report on the reliability of gridded precipitation datasets (P datasets) across the Republic of Djibouti through direct comparisons with rain gauge measurements from the annual to the daily time scales. Our specific objective is to be able to use such products in the context of hydrological modeling at a daily time step. Given the scarcity of available data in the Republic of Djibouti, our study was carried out on two time windows (1980-1990 and 2008-2013) and two gauge networks with different spatial resolutions: the southeast of the Republic of Djibouti (5000 km(2)) and the Ambouli catchment (794 km(2)), which drains the city of Djibouti. The reliability of these products is analyzed with quantitative metrics and categorical metrics, exclusively at a daily time step for the latter. The performance of the P datasets degrades from the annual time scale to the daily time scale. Even though the same products exhibit the best performance at the various time scales, the performance of most of the products differs from one spatial scale to another. Our results demonstrate the importance of the temporal and spatial windows, as the same products can perform differently according to the scale. For all the spatiotemporal scales, the most reliable product is MSWEP v.2.2. This P dataset is derived from a combination of satellite products (multiple sensors such as infrared and passive microwave), reanalysis products, and rain gauge observations. A strong discrepancy between rain gauge observations and P datasets is revealed according to the categorical metric at a daily time step. The analysis of rainfall events triggering runoff, using a 10 mm rainfall threshold, showed that the most efficient products were unable to accurately detect such events at a daily time step, with a significant underestimation of rainfall events higher than 10 mm. None of these products, even the most reliable, can be used for a calibration/validation of a hydrological model at a daily time step.
英文关键词	Djibouti rainfall precipitation datasets categorical metrics quantitative metrics reliability rain gauges
类型	Article
语种	英语
开放获取类型	Green Published, gold, Green Submitted
收录类别	SCI-E
WOS记录号	WOS:001017848600001
WOS关键词	REGIONAL CLIMATE MODEL ; PRECIPITATION ESTIMATION ; SATELLITE ; VALIDATION ; PERFORMANCE ; DATASETS
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/2XILL650/399036
推荐引用方式 GB/T 7714	Omar, Golab Moussa,Paturel, Jean-Emmanuel,Salles, Christian,et al. Evaluation of Rainfall Products in Semi-Arid Areas: Application to the Southeast of the Republic of Djibouti and a Focus on the Ambouli Catchment[J],2023,15(12).
APA	Omar, Golab Moussa.,Paturel, Jean-Emmanuel.,Salles, Christian.,Mahe, Gil.,Jalludin, Mohamed.,...&Nour, Mohamed Ismail.(2023).Evaluation of Rainfall Products in Semi-Arid Areas: Application to the Southeast of the Republic of Djibouti and a Focus on the Ambouli Catchment.WATER,15(12).
MLA	Omar, Golab Moussa,et al."Evaluation of Rainfall Products in Semi-Arid Areas: Application to the Southeast of the Republic of Djibouti and a Focus on the Ambouli Catchment".WATER 15.12(2023).