干旱区生态环境知识资源中心(Arid): Accuracy Assessment and Validation of Multi-Source CHIRPS Precipitation Estimates for Water Resource Management in the Barada Basin, Syria

Arid

DOI	10.3390/rs15071778
	Accuracy Assessment and Validation of Multi-Source CHIRPS Precipitation Estimates for Water Resource Management in the Barada Basin, Syria
	Alsilibe, Firas; Bene, Katalin; Bilal, Ghada; Alghafli, Khaled; Shi, Xiaogang
通讯作者	Alsilibe, F
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2023
卷号	15 期号:7
英文摘要	The lack of sufficient precipitation data has been a common problem for water resource planning in many arid and semi-arid regions with sparse and limited weather monitoring networks. Satellite-based precipitation products are often used in these regions to improve data availability. This research presents the first validation study in Syria for Climate Hazards Group InfraRed Precipitation with Stations (CHIRPS) estimates using in-situ precipitation data. The validation was performed using accuracy and categorical statistics in the semi-arid Barada Basin, Syria, between 2000 and 2020. Multiple temporal scales (daily, pentad, monthly, seasonally, and annual) were utilized to investigate the accuracy of CHIRPS estimates. The CHIRPS results indicated advantages and disadvantages. The main promising result was achieved at the seasonal scale. Implementing CHIRPS for seasonal drought was proven to be suitable for the Barada Basin. Low bias (PBwinter = 2.1%, PBwet season = 12.7%), high correlation (r(wet season) = 0.79), and small error (ME = 4.25 mm/winter) support the implementation of CHIRPS in winter and wet seasons for seasonal drought monitoring. However, it was observed that CHIRPS exhibited poor performance (inland pentads) in reproducing precipitation amounts at finer temporal scales (pentad and daily). Underestimation of precipitation event amounts was evident in all accuracy statistics results, and the magnitude of error was higher with more intense events. CHIRPS results better corresponded in wet months than dry months. Additionally, the results showed that CHIRPS had poor detection skill in drylands; on average, only 20% of all in-situ precipitation events were correctly detected by CHIRPS with no effect of topography found on detection skill performance. This research could be valuable for decision-makers in dryland regions (as well as the Barada Basin) for water resource planning and drought early warning systems using CHIRPS.
英文关键词	CHIRPS precipitation validation dryland Barada Basin Syria
类型	Article
语种	英语
开放获取类型	Green Accepted, gold
收录类别	SCI-E
WOS记录号	WOS:000969915400001
WOS关键词	CLIMATE VARIABILITY ; DROUGHT ; PRODUCTS ; PERFORMANCE ; CONFLICT ; PROVINCE ; DATASET ; RADAR ; AREA
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/398253
推荐引用方式 GB/T 7714	Alsilibe, Firas,Bene, Katalin,Bilal, Ghada,et al. Accuracy Assessment and Validation of Multi-Source CHIRPS Precipitation Estimates for Water Resource Management in the Barada Basin, Syria[J],2023,15(7).
APA	Alsilibe, Firas,Bene, Katalin,Bilal, Ghada,Alghafli, Khaled,&Shi, Xiaogang.(2023).Accuracy Assessment and Validation of Multi-Source CHIRPS Precipitation Estimates for Water Resource Management in the Barada Basin, Syria.REMOTE SENSING,15(7).
MLA	Alsilibe, Firas,et al."Accuracy Assessment and Validation of Multi-Source CHIRPS Precipitation Estimates for Water Resource Management in the Barada Basin, Syria".REMOTE SENSING 15.7(2023).