Impact of Topography and Rainfall Intensity on the Accuracy of IMERG Precipitation Estimates in an Arid Region
The influence of topographical characteristics and rainfall intensity on the accuracy of satellite precipitation estimates is of importance to the adoption of satellite data for hydrological applications. This study evaluates the three GPM IMERG V05B products over the arid country of Saudi Arabia. S...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-12-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/13/1/13 |
| _version_ | 1827699507172737024 |
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| author | Mohammed T. Mahmoud Safa A. Mohammed Mohamed A. Hamouda Mohamed M. Mohamed |
| author_facet | Mohammed T. Mahmoud Safa A. Mohammed Mohamed A. Hamouda Mohamed M. Mohamed |
| author_sort | Mohammed T. Mahmoud |
| collection | DOAJ |
| description | The influence of topographical characteristics and rainfall intensity on the accuracy of satellite precipitation estimates is of importance to the adoption of satellite data for hydrological applications. This study evaluates the three GPM IMERG V05B products over the arid country of Saudi Arabia. Statistical indices quantifying the performance of IMERG products were calculated under three evaluation techniques: seasonal-based, topographical, and rainfall intensity-based. Results indicated that IMERG products have the capability to detect seasons with the highest precipitation values (spring) and seasons with the lowest precipitation (summer). Moreover, results showed that IMERG products performed well under various rainfall intensities, particularly under light rain, which is the most common rainfall in arid regions. Furthermore, IMERG products exhibited high detection accuracy over moderate elevations, whereas it had poor performance over coastal and mountainous regions. Overall, the results confirmed that the performance of the final-run product surpassed the near-real-time products in terms of consistency and errors. IMERG products can improve temporal resolution and play a significant role in filling data gaps in poorly gauged regions. However, due to the errors in IMERG products, it is recommended to use sub-daily rain gauge data in satellite calibration for better rainfall estimation over arid and semiarid regions. |
| first_indexed | 2024-03-10T13:51:46Z |
| format | Article |
| id | doaj.art-cae278f3a9714306a6b500513c33252f |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T13:51:46Z |
| publishDate | 2020-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-cae278f3a9714306a6b500513c33252f2023-11-21T02:04:38ZengMDPI AGRemote Sensing2072-42922020-12-011311310.3390/rs13010013Impact of Topography and Rainfall Intensity on the Accuracy of IMERG Precipitation Estimates in an Arid RegionMohammed T. Mahmoud0Safa A. Mohammed1Mohamed A. Hamouda2Mohamed M. Mohamed3Department of Civil and Environmental Engineering, United Arab Emirates University, Al Ain 15551, UAEDepartment of Civil and Environmental Engineering, United Arab Emirates University, Al Ain 15551, UAEDepartment of Civil and Environmental Engineering, United Arab Emirates University, Al Ain 15551, UAEDepartment of Civil and Environmental Engineering, United Arab Emirates University, Al Ain 15551, UAEThe influence of topographical characteristics and rainfall intensity on the accuracy of satellite precipitation estimates is of importance to the adoption of satellite data for hydrological applications. This study evaluates the three GPM IMERG V05B products over the arid country of Saudi Arabia. Statistical indices quantifying the performance of IMERG products were calculated under three evaluation techniques: seasonal-based, topographical, and rainfall intensity-based. Results indicated that IMERG products have the capability to detect seasons with the highest precipitation values (spring) and seasons with the lowest precipitation (summer). Moreover, results showed that IMERG products performed well under various rainfall intensities, particularly under light rain, which is the most common rainfall in arid regions. Furthermore, IMERG products exhibited high detection accuracy over moderate elevations, whereas it had poor performance over coastal and mountainous regions. Overall, the results confirmed that the performance of the final-run product surpassed the near-real-time products in terms of consistency and errors. IMERG products can improve temporal resolution and play a significant role in filling data gaps in poorly gauged regions. However, due to the errors in IMERG products, it is recommended to use sub-daily rain gauge data in satellite calibration for better rainfall estimation over arid and semiarid regions.https://www.mdpi.com/2072-4292/13/1/13satellite-based precipitation productsGPMIMERGSaudi Arabia |
| spellingShingle | Mohammed T. Mahmoud Safa A. Mohammed Mohamed A. Hamouda Mohamed M. Mohamed Impact of Topography and Rainfall Intensity on the Accuracy of IMERG Precipitation Estimates in an Arid Region Remote Sensing satellite-based precipitation products GPM IMERG Saudi Arabia |
| title | Impact of Topography and Rainfall Intensity on the Accuracy of IMERG Precipitation Estimates in an Arid Region |
| title_full | Impact of Topography and Rainfall Intensity on the Accuracy of IMERG Precipitation Estimates in an Arid Region |
| title_fullStr | Impact of Topography and Rainfall Intensity on the Accuracy of IMERG Precipitation Estimates in an Arid Region |
| title_full_unstemmed | Impact of Topography and Rainfall Intensity on the Accuracy of IMERG Precipitation Estimates in an Arid Region |
| title_short | Impact of Topography and Rainfall Intensity on the Accuracy of IMERG Precipitation Estimates in an Arid Region |
| title_sort | impact of topography and rainfall intensity on the accuracy of imerg precipitation estimates in an arid region |
| topic | satellite-based precipitation products GPM IMERG Saudi Arabia |
| url | https://www.mdpi.com/2072-4292/13/1/13 |
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