Development of Intensity–Duration–Frequency (IDF) Curves over the United Arab Emirates (UAE) Using CHIRPS Satellite-Based Precipitation Products
The recent flooding events in the UAE have emphasized the need for a reassessment of flood frequencies to mitigate risks. The exponential urbanization and climatic changes in the UAE require a reform for developing and updating intensity–duration–frequency (IDF) curves. This study introduces a metho...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-12-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/16/1/27 |
| _version_ | 1827384513660977152 |
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| author | Tareefa S. Alsumaiti Khalid A. Hussein Dawit T. Ghebreyesus Pakorn Petchprayoon Hatim O. Sharif Waleed Abdalati |
| author_facet | Tareefa S. Alsumaiti Khalid A. Hussein Dawit T. Ghebreyesus Pakorn Petchprayoon Hatim O. Sharif Waleed Abdalati |
| author_sort | Tareefa S. Alsumaiti |
| collection | DOAJ |
| description | The recent flooding events in the UAE have emphasized the need for a reassessment of flood frequencies to mitigate risks. The exponential urbanization and climatic changes in the UAE require a reform for developing and updating intensity–duration–frequency (IDF) curves. This study introduces a methodology to develop and update IDF curves for the UAE at a high spatial resolution using CHIRPS (Climate Hazards Group InfraRed Precipitation with Station) data. A bias correction was applied to the CHIRPS data, resulting in an improved capture of extreme events across the country. The Gumbel distribution was the most suitable theoretical distribution for the UAE, exhibiting a strong fit to the observed data. The study also revealed that the CHIRPS-derived IDF curves matched the shape of IDF curves generated using rain gauges. Due to orographic rainfall in the northeastern region, the IDF intensities were at their highest there, while the aridity of inland regions resulted in the lowest intensities. These findings enhance our understanding of rainfall patterns in the UAE and support effective water resource management and infrastructure planning. This study demonstrates the potential of the CHIRPS dataset for IDF curve development, emphasizes the importance of performing bias corrections, and recommends tailoring adjustments to the intended application. |
| first_indexed | 2024-03-08T14:57:55Z |
| format | Article |
| id | doaj.art-025ed8ea98dc4556b68ab29e331bc8e0 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-08T14:57:55Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-025ed8ea98dc4556b68ab29e331bc8e02024-01-10T15:07:08ZengMDPI AGRemote Sensing2072-42922023-12-011612710.3390/rs16010027Development of Intensity–Duration–Frequency (IDF) Curves over the United Arab Emirates (UAE) Using CHIRPS Satellite-Based Precipitation ProductsTareefa S. Alsumaiti0Khalid A. Hussein1Dawit T. Ghebreyesus2Pakorn Petchprayoon3Hatim O. Sharif4Waleed Abdalati5Geography and Urban Sustainability Department, College of Humanities and Social Sciences, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab EmiratesGeography and Urban Sustainability Department, College of Humanities and Social Sciences, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab EmiratesBridgefarmer & Associates, Inc., 2350 Valley View Lane, Suite 600, Dallas, TX 75234, USAGeo-Informatics and Space Technology Development Agency (GISTDA), Bangkok 10210, ThailandDepartment of Civil and Environmental Engineering, University of Texas at San Antonio, San Antonio, TX 78249, USACooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado, Boulder, CO 80309, USAThe recent flooding events in the UAE have emphasized the need for a reassessment of flood frequencies to mitigate risks. The exponential urbanization and climatic changes in the UAE require a reform for developing and updating intensity–duration–frequency (IDF) curves. This study introduces a methodology to develop and update IDF curves for the UAE at a high spatial resolution using CHIRPS (Climate Hazards Group InfraRed Precipitation with Station) data. A bias correction was applied to the CHIRPS data, resulting in an improved capture of extreme events across the country. The Gumbel distribution was the most suitable theoretical distribution for the UAE, exhibiting a strong fit to the observed data. The study also revealed that the CHIRPS-derived IDF curves matched the shape of IDF curves generated using rain gauges. Due to orographic rainfall in the northeastern region, the IDF intensities were at their highest there, while the aridity of inland regions resulted in the lowest intensities. These findings enhance our understanding of rainfall patterns in the UAE and support effective water resource management and infrastructure planning. This study demonstrates the potential of the CHIRPS dataset for IDF curve development, emphasizes the importance of performing bias corrections, and recommends tailoring adjustments to the intended application.https://www.mdpi.com/2072-4292/16/1/27remote sensingCHIRPSprecipitationUAEwater resources |
| spellingShingle | Tareefa S. Alsumaiti Khalid A. Hussein Dawit T. Ghebreyesus Pakorn Petchprayoon Hatim O. Sharif Waleed Abdalati Development of Intensity–Duration–Frequency (IDF) Curves over the United Arab Emirates (UAE) Using CHIRPS Satellite-Based Precipitation Products Remote Sensing remote sensing CHIRPS precipitation UAE water resources |
| title | Development of Intensity–Duration–Frequency (IDF) Curves over the United Arab Emirates (UAE) Using CHIRPS Satellite-Based Precipitation Products |
| title_full | Development of Intensity–Duration–Frequency (IDF) Curves over the United Arab Emirates (UAE) Using CHIRPS Satellite-Based Precipitation Products |
| title_fullStr | Development of Intensity–Duration–Frequency (IDF) Curves over the United Arab Emirates (UAE) Using CHIRPS Satellite-Based Precipitation Products |
| title_full_unstemmed | Development of Intensity–Duration–Frequency (IDF) Curves over the United Arab Emirates (UAE) Using CHIRPS Satellite-Based Precipitation Products |
| title_short | Development of Intensity–Duration–Frequency (IDF) Curves over the United Arab Emirates (UAE) Using CHIRPS Satellite-Based Precipitation Products |
| title_sort | development of intensity duration frequency idf curves over the united arab emirates uae using chirps satellite based precipitation products |
| topic | remote sensing CHIRPS precipitation UAE water resources |
| url | https://www.mdpi.com/2072-4292/16/1/27 |
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