Unprecedented rainfall in the United Arab Emirates: hydrologic and flood impact analysis of the April 2024 event

Khalid Hussein (), Naeema Alhosani, Ahmed M. Al-Areeq, Amran A. Al Aghbari, Muhagir Elkamali, Tareefa Alsumaiti, Hatim O. Sharif, Ahmed M. G. Almurshidi and Waleed Abdalati
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Khalid Hussein: United Arab Emirates University
Naeema Alhosani: United Arab Emirates University
Ahmed M. Al-Areeq: King Fahd University of Petroleum and Minerals (KFUPM)
Amran A. Al Aghbari: King Fahd University of Petroleum and Minerals (KFUPM)
Muhagir Elkamali: United Arab Emirates University
Tareefa Alsumaiti: United Arab Emirates University
Hatim O. Sharif: University of Texas at San Antonio
Ahmed M. G. Almurshidi: United Arab Emirates University
Waleed Abdalati: University of Colorado

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2025, vol. 121, issue 8, No 17, 9363-9385

Abstract: Abstract In mid-April 2024, an extreme rainfall event struck Oman and the United Arab Emirates (UAE), causing unprecedented flooding, significant infrastructure damage, and loss of life. Characterized by intense and sustained rainfall over a few days, this event highlighted the region’s vulnerability to extreme weather phenomena. This study examines the rainfall estimated by two satellite rainfall products during this event, with a detailed analysis focusing on the watershed encompassing the city of Al Ain. A rain gauge in this watershed recorded a historic 24-hour rainfall of 254.8 mm, approximately 75% of the area’s previously estimated probable maximum precipitation (PMP). Other gauges in the watershed also recorded substantial rainfall amounts, breaking previous records, while satellite products significantly underestimated the actual rainfall. A physically-based distributed hydrologic model simulated the resulting flood, indicating a low runoff ratio of about 7.14% due to high infiltration rates. Despite this, significant flooding occurred in urbanized parts of the watershed. This discrepancy highlights the complexity of urban hydrology and the challenges of predicting flood extents in urban areas. The findings underscore the need for improved flood forecasting systems in the UAE, emphasizing enhanced satellite rainfall estimation accuracy and advanced modeling approaches for better urban flood management and mitigation. Integrating new technologies and methodologies in urban flood forecasting is crucial for enhancing resilience against future extreme weather events, ensuring the safety and preparedness of vulnerable regions like the UAE.

Keywords: Extreme rainfall; Flooding; Urban flood management; Arabian peninsula; UAE; Hydrologic modeling; Satellite rainfall products (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s11069-025-07156-9

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