Performance of the CMORPH and GPM IMERG Products over the United Arab Emirates
Satellite-based precipitation products are becoming available at very high temporal and spatial resolutions, which has accelerated their use in various hydro-meteorological and hydro-climatological applications. Because the quantitative accuracy of such products is affected by numerous factors relat...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-05-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/12/9/1426 |
| _version_ | 1827717661999497216 |
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| author | Tareefa S. Alsumaiti Khalid Hussein Dawit T. Ghebreyesus Hatim O. Sharif |
| author_facet | Tareefa S. Alsumaiti Khalid Hussein Dawit T. Ghebreyesus Hatim O. Sharif |
| author_sort | Tareefa S. Alsumaiti |
| collection | DOAJ |
| description | Satellite-based precipitation products are becoming available at very high temporal and spatial resolutions, which has accelerated their use in various hydro-meteorological and hydro-climatological applications. Because the quantitative accuracy of such products is affected by numerous factors related to atmospheric and terrain properties, validating them over different regions and environments is needed. This study investigated the performance of two high-resolution global satellite-based precipitation products: the climate prediction center MORPHing technique (CMORPH) and the latest version of the Integrated Multi-SatellitE Retrievals for the Global Precipitation Mission (GPM) algorithm (IMERG), V06, over the United Arab Emirates from 2010 through 2018. The estimates of the products and that of 71 in situ rain gauges distributed across the country were compared by employing several common quantitative, categorical, and graphical statistical measures at daily, event-duration, and annual temporal scales, and at the station and study area spatial scales. Both products perform quite well in rainfall detection (above 70%), but report rainfall not observed by the rain gauges at an alarming rate (more than 30%), especially for light rain (lower quartile). However, for moderate and intense (upper quartiles) rainfall rates, performance is much better. Because both products are highly correlated with rain gauge observations (mostly above 0.7), the satellite rainfall estimates can probably be significantly improved by removing the bias. Overall, the CMORPH and IMERG estimates demonstrate great potential for filling spatial gaps in rainfall observations, in addition to improving the temporal resolution. However, further improvement is required, regarding the overestimation and underestimation of small and large rainfall amounts, respectively. |
| first_indexed | 2024-03-10T20:07:33Z |
| format | Article |
| id | doaj.art-81a472dffa68475482aeb618387cd31f |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T20:07:33Z |
| publishDate | 2020-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-81a472dffa68475482aeb618387cd31f2023-11-19T23:12:12ZengMDPI AGRemote Sensing2072-42922020-05-01129142610.3390/rs12091426Performance of the CMORPH and GPM IMERG Products over the United Arab EmiratesTareefa S. Alsumaiti0Khalid Hussein1Dawit T. Ghebreyesus2Hatim O. Sharif3Geography and Urban Sustainability Department, College of Humanities and Social Sciences, United Arab Emirates University, Al-Ain P.O. Box 15551, UAEGeography and Urban Sustainability Department, College of Humanities and Social Sciences, United Arab Emirates University, Al-Ain P.O. Box 15551, UAEDepartment of Civil and Environmental Engineering, University of Texas and San Antonio, San Antonio, TX 78249, USADepartment of Civil and Environmental Engineering, University of Texas and San Antonio, San Antonio, TX 78249, USASatellite-based precipitation products are becoming available at very high temporal and spatial resolutions, which has accelerated their use in various hydro-meteorological and hydro-climatological applications. Because the quantitative accuracy of such products is affected by numerous factors related to atmospheric and terrain properties, validating them over different regions and environments is needed. This study investigated the performance of two high-resolution global satellite-based precipitation products: the climate prediction center MORPHing technique (CMORPH) and the latest version of the Integrated Multi-SatellitE Retrievals for the Global Precipitation Mission (GPM) algorithm (IMERG), V06, over the United Arab Emirates from 2010 through 2018. The estimates of the products and that of 71 in situ rain gauges distributed across the country were compared by employing several common quantitative, categorical, and graphical statistical measures at daily, event-duration, and annual temporal scales, and at the station and study area spatial scales. Both products perform quite well in rainfall detection (above 70%), but report rainfall not observed by the rain gauges at an alarming rate (more than 30%), especially for light rain (lower quartile). However, for moderate and intense (upper quartiles) rainfall rates, performance is much better. Because both products are highly correlated with rain gauge observations (mostly above 0.7), the satellite rainfall estimates can probably be significantly improved by removing the bias. Overall, the CMORPH and IMERG estimates demonstrate great potential for filling spatial gaps in rainfall observations, in addition to improving the temporal resolution. However, further improvement is required, regarding the overestimation and underestimation of small and large rainfall amounts, respectively.https://www.mdpi.com/2072-4292/12/9/1426United Arab EmiratesprecipitationCMORPHGPM |
| spellingShingle | Tareefa S. Alsumaiti Khalid Hussein Dawit T. Ghebreyesus Hatim O. Sharif Performance of the CMORPH and GPM IMERG Products over the United Arab Emirates Remote Sensing United Arab Emirates precipitation CMORPH GPM |
| title | Performance of the CMORPH and GPM IMERG Products over the United Arab Emirates |
| title_full | Performance of the CMORPH and GPM IMERG Products over the United Arab Emirates |
| title_fullStr | Performance of the CMORPH and GPM IMERG Products over the United Arab Emirates |
| title_full_unstemmed | Performance of the CMORPH and GPM IMERG Products over the United Arab Emirates |
| title_short | Performance of the CMORPH and GPM IMERG Products over the United Arab Emirates |
| title_sort | performance of the cmorph and gpm imerg products over the united arab emirates |
| topic | United Arab Emirates precipitation CMORPH GPM |
| url | https://www.mdpi.com/2072-4292/12/9/1426 |
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