Validation of Satellite-Based Precipitation Products from TRMM to GPM
The global precipitation measurement mission (GPM) has been in operation for seven years and continues to provide a vast quantity of global precipitation data at finer temporospatial resolutions with improved accuracy and coverage. GPM’s signature algorithm, the integrated multisatellite retrievals...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-04-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/13/9/1745 |
| _version_ | 1827693664360464384 |
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| author | Jianxin Wang Walter A. Petersen David B. Wolff |
| author_facet | Jianxin Wang Walter A. Petersen David B. Wolff |
| author_sort | Jianxin Wang |
| collection | DOAJ |
| description | The global precipitation measurement mission (GPM) has been in operation for seven years and continues to provide a vast quantity of global precipitation data at finer temporospatial resolutions with improved accuracy and coverage. GPM’s signature algorithm, the integrated multisatellite retrievals for GPM (IMERG) is a next-generation of precipitation product expected for wide variety of research and operational applications. This study evaluates the latest version (V06B) of IMERG and its predecessor, the tropical rainfall measuring mission (TRMM) multisatellite precipitation (TMPA) 3B42 (V7) using ground-based and gauge-corrected multiradar multisensor system (MRMS) precipitation products over the conterminous United States (CONUS). The spatial distributions of all products are analyzed. The error characteristics are further examined for 3B42 and IMERG in winter and summer by an error decomposition approach, which partitions total bias into hit bias, biases due to missed precipitation and false precipitation. The volumetric and categorical statistical metrics are used to quantitatively evaluate the performance of the two satellite-based products. All products show a similar precipitation climatology with some regional differences. The two satellite-based products perform better in the eastern CONUS than in the mountainous Western CONUS. The evaluation demonstrates the clear improvement in IMERG precipitation product in comparison with its predecessor 3B42, especially in reducing missed precipitation in winter and summer, and hit bias in winter, resulting in better performance in capturing lighter and heavier precipitation. |
| first_indexed | 2024-03-10T11:48:36Z |
| format | Article |
| id | doaj.art-d9f4a1a5649c4ae38edd98e8496ecf15 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T11:48:36Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-d9f4a1a5649c4ae38edd98e8496ecf152023-11-21T17:55:48ZengMDPI AGRemote Sensing2072-42922021-04-01139174510.3390/rs13091745Validation of Satellite-Based Precipitation Products from TRMM to GPMJianxin Wang0Walter A. Petersen1David B. Wolff2Science System and Applications, Inc., Lanham, MD 20706, USANASA Marshall Space Flight Center, Huntsville, AL 35805, USANASA Wallops Flight Facility, Wallops Island, VA 23337, USAThe global precipitation measurement mission (GPM) has been in operation for seven years and continues to provide a vast quantity of global precipitation data at finer temporospatial resolutions with improved accuracy and coverage. GPM’s signature algorithm, the integrated multisatellite retrievals for GPM (IMERG) is a next-generation of precipitation product expected for wide variety of research and operational applications. This study evaluates the latest version (V06B) of IMERG and its predecessor, the tropical rainfall measuring mission (TRMM) multisatellite precipitation (TMPA) 3B42 (V7) using ground-based and gauge-corrected multiradar multisensor system (MRMS) precipitation products over the conterminous United States (CONUS). The spatial distributions of all products are analyzed. The error characteristics are further examined for 3B42 and IMERG in winter and summer by an error decomposition approach, which partitions total bias into hit bias, biases due to missed precipitation and false precipitation. The volumetric and categorical statistical metrics are used to quantitatively evaluate the performance of the two satellite-based products. All products show a similar precipitation climatology with some regional differences. The two satellite-based products perform better in the eastern CONUS than in the mountainous Western CONUS. The evaluation demonstrates the clear improvement in IMERG precipitation product in comparison with its predecessor 3B42, especially in reducing missed precipitation in winter and summer, and hit bias in winter, resulting in better performance in capturing lighter and heavier precipitation.https://www.mdpi.com/2072-4292/13/9/1745GPMTRMMIMERG3B42MRMSGPCC |
| spellingShingle | Jianxin Wang Walter A. Petersen David B. Wolff Validation of Satellite-Based Precipitation Products from TRMM to GPM Remote Sensing GPM TRMM IMERG 3B42 MRMS GPCC |
| title | Validation of Satellite-Based Precipitation Products from TRMM to GPM |
| title_full | Validation of Satellite-Based Precipitation Products from TRMM to GPM |
| title_fullStr | Validation of Satellite-Based Precipitation Products from TRMM to GPM |
| title_full_unstemmed | Validation of Satellite-Based Precipitation Products from TRMM to GPM |
| title_short | Validation of Satellite-Based Precipitation Products from TRMM to GPM |
| title_sort | validation of satellite based precipitation products from trmm to gpm |
| topic | GPM TRMM IMERG 3B42 MRMS GPCC |
| url | https://www.mdpi.com/2072-4292/13/9/1745 |
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