{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T18:33:19Z","timestamp":1775845999031,"version":"3.50.1"},"reference-count":62,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2023,3,27]],"date-time":"2023-03-27T00:00:00Z","timestamp":1679875200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>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\u00a0season = 12.7%), high correlation (rwet 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.<\/jats:p>","DOI":"10.3390\/rs15071778","type":"journal-article","created":{"date-parts":[[2023,3,27]],"date-time":"2023-03-27T02:18:27Z","timestamp":1679883507000},"page":"1778","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":30,"title":["Accuracy Assessment and Validation of Multi-Source CHIRPS Precipitation Estimates for Water Resource Management in the Barada Basin, Syria"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3327-262X","authenticated-orcid":false,"given":"Firas","family":"Alsilibe","sequence":"first","affiliation":[{"name":"Department of Transport Infrastructure and Water Resources Engineering, Sz\u00e9chenyi Istv\u00e1n University, 9026 Gy\u0151r, Hungary"}]},{"given":"Katalin","family":"Bene","sequence":"additional","affiliation":[{"name":"Department of Transport Infrastructure and Water Resources Engineering, Sz\u00e9chenyi Istv\u00e1n University, 9026 Gy\u0151r, Hungary"}]},{"given":"Ghada","family":"Bilal","sequence":"additional","affiliation":[{"name":"Higher Institute of Regional Planning, Damascus University, Damascus P.O. Box 30621, Syria"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8888-9016","authenticated-orcid":false,"given":"Khaled","family":"Alghafli","sequence":"additional","affiliation":[{"name":"James Watt School of Engineering, University Glasgow, Glasgow G12 8QQ, UK"},{"name":"The National Water and Energy Center, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates"}]},{"given":"Xiaogang","family":"Shi","sequence":"additional","affiliation":[{"name":"School of Interdisciplinary Studies, University of Glasgow, Dumfries DG1 4ZL, UK"}]}],"member":"1968","published-online":{"date-parts":[[2023,3,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1097","DOI":"10.1175\/BAMS-D-13-00212.1","article-title":"Challenges in quantifying changes in the global water cycle","volume":"96","author":"Hegerl","year":"2015","journal-title":"Bull. Am. Meteorol. 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