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Article

High-Resolution Spatiotemporal Trend Analysis of Precipitation Using Satellite-Based Products over the United Arab Emirates

1
Geography and Urban Sustainability Department, College of Humanities and Social Sciences, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates
2
Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado, Boulder, CO 80309, USA
3
Department of Civil and Environmental Engineering, College of Engineering, University of Texas at San Antonio, San Antonio, TX 78249, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Paul Kucera
Water 2021, 13(17), 2376; https://doi.org/10.3390/w13172376
Received: 15 June 2021 / Revised: 15 August 2021 / Accepted: 24 August 2021 / Published: 29 August 2021
(This article belongs to the Special Issue Hydrometeorological Observation and Modeling)
Current water demands are adequately satisfied in the United Arab Emirates (UAE) with the available water resources. However, the changing climate and growing water demand pose a great challenge for water resources managers in the country. Hence, there is a great need for management strategies and policies to use the most accurate information regarding water availability. Understanding the frequency and the short- and long-term trends of the precipitation by employing high-resolution data in both the spatial and temporal domains can provide invaluable information. This study examines the long-term precipitation trends over the UAE using 17 years of data from three of the most highly cited satellite-based precipitation products and rain gauge data observed at 18 stations. The UAE received, on average, 42, 51, and 120 wet hours in a year in the 21st century as recorded by CMORPH, PERSIANN, and IMERG, respectively. The results show that the areal average annual precipitation of the UAE is significantly lower in the early 21st century than that of the late 20th century, even though it shows an increasing trend by all the products. The Mann–Kendall trend test showed positive trends in six rain gauge stations and negative trends in two stations out of 18 stations, all of which are located in the wetter eastern part of the UAE. Results indicate that satellite products have great potential for improving the spatial aspects of rainfall frequency analysis and can complement rain gauge data to develop rainfall intensity–duration–frequency curves in a very dry region, where the installation of dense rain gauge networks is not feasible. View Full-Text
Keywords: remote sensing; climate; precipitation frequency; precipitation trends; UAE; IMERG; CMORPH; PERSIANN remote sensing; climate; precipitation frequency; precipitation trends; UAE; IMERG; CMORPH; PERSIANN
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MDPI and ACS Style

Hussein, K.A.; Alsumaiti, T.S.; Ghebreyesus, D.T.; Sharif, H.O.; Abdalati, W. High-Resolution Spatiotemporal Trend Analysis of Precipitation Using Satellite-Based Products over the United Arab Emirates. Water 2021, 13, 2376. https://doi.org/10.3390/w13172376

AMA Style

Hussein KA, Alsumaiti TS, Ghebreyesus DT, Sharif HO, Abdalati W. High-Resolution Spatiotemporal Trend Analysis of Precipitation Using Satellite-Based Products over the United Arab Emirates. Water. 2021; 13(17):2376. https://doi.org/10.3390/w13172376

Chicago/Turabian Style

Hussein, Khalid A., Tareefa S. Alsumaiti, Dawit T. Ghebreyesus, Hatim O. Sharif, and Waleed Abdalati. 2021. "High-Resolution Spatiotemporal Trend Analysis of Precipitation Using Satellite-Based Products over the United Arab Emirates" Water 13, no. 17: 2376. https://doi.org/10.3390/w13172376

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