Beyond Algorithm Updates: A Systematic Validation of GPM DPR-V07 over China’s Multiscale Topography
The Global Precipitation Measurement (GPM) mission’s Dual-Frequency Precipitation Radar (DPR) serves as a critical benchmark for calibrating satellite-based precipitation products, with its retrieval quality directly governing the accuracy of global precipitation estimates. While the updated version...
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MDPI AG
2025-07-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/17/14/2410 |
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| author | Jia Song Haiwei Zhang Yi Lyu Hao Wu Fei Zhang Xu Ma Bin Yong |
| author_facet | Jia Song Haiwei Zhang Yi Lyu Hao Wu Fei Zhang Xu Ma Bin Yong |
| author_sort | Jia Song |
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| description | The Global Precipitation Measurement (GPM) mission’s Dual-Frequency Precipitation Radar (DPR) serves as a critical benchmark for calibrating satellite-based precipitation products, with its retrieval quality directly governing the accuracy of global precipitation estimates. While the updated version 07 (DPR-V07) algorithm introduces substantial refinements over its predecessor (DPR-V06), systematic evaluations of its operational advancements in precipitation monitoring remain limited. This study utilizes ground-based rain gauge data from Mainland China (2015–2018) to assess improvements of DPR-V07 over its predecessor’s (DPR-V06) effects. The results indicate that DPR-V07 reduces the high-altitude precipitation underestimation by 5% (vs. V06) in the west (W) and corrects the elevation-linked overestimation via an improved terrain sensitivity. The seasonal analysis demonstrates winter-specific advancements of DPR-V07, with a 3–8% reduction in the miss bias contributing to a lower total bias. However, the algorithm updates yield unintended trade-offs: the High-Sensitivity Scan (HS) mode exhibits significant detection performance degradation, particularly in east (E) and midwest (M) regions, with Critical Success Index (CSI) values decreasing by approximately 0.12 compared to DPR-V06. Furthermore, summer error components show a minimal improvement, suggesting unresolved challenges in warm-season retrieval physics. This study establishes a systematic framework for evaluating precipitation retrieval advancements, providing critical insights for future satellite algorithm development and operational applications in hydrometeorological monitoring. |
| format | Article |
| id | doaj-art-e74db4003f06482da7d17c80fca8f0c8 |
| institution | Matheson Library |
| issn | 2072-4292 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
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| series | Remote Sensing |
| spelling | doaj-art-e74db4003f06482da7d17c80fca8f0c82025-07-25T13:35:15ZengMDPI AGRemote Sensing2072-42922025-07-011714241010.3390/rs17142410Beyond Algorithm Updates: A Systematic Validation of GPM DPR-V07 over China’s Multiscale TopographyJia Song0Haiwei Zhang1Yi Lyu2Hao Wu3Fei Zhang4Xu Ma5Bin Yong6College of Geography and Remote Sensing Science, Xinjiang University, Urumqi 830046, ChinaCollege of Geography and Remote Sensing Science, Xinjiang University, Urumqi 830046, ChinaCollege of Hydrology and Water Resources, Hohai University, Nanjing 210098, ChinaSchool of Geographic Information and Tourism, Chuzhou University, Chuzhou 239000, ChinaCollege of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua 321004, ChinaCollege of Geography and Remote Sensing Science, Xinjiang University, Urumqi 830046, ChinaCollege of Hydrology and Water Resources, Hohai University, Nanjing 210098, ChinaThe Global Precipitation Measurement (GPM) mission’s Dual-Frequency Precipitation Radar (DPR) serves as a critical benchmark for calibrating satellite-based precipitation products, with its retrieval quality directly governing the accuracy of global precipitation estimates. While the updated version 07 (DPR-V07) algorithm introduces substantial refinements over its predecessor (DPR-V06), systematic evaluations of its operational advancements in precipitation monitoring remain limited. This study utilizes ground-based rain gauge data from Mainland China (2015–2018) to assess improvements of DPR-V07 over its predecessor’s (DPR-V06) effects. The results indicate that DPR-V07 reduces the high-altitude precipitation underestimation by 5% (vs. V06) in the west (W) and corrects the elevation-linked overestimation via an improved terrain sensitivity. The seasonal analysis demonstrates winter-specific advancements of DPR-V07, with a 3–8% reduction in the miss bias contributing to a lower total bias. However, the algorithm updates yield unintended trade-offs: the High-Sensitivity Scan (HS) mode exhibits significant detection performance degradation, particularly in east (E) and midwest (M) regions, with Critical Success Index (CSI) values decreasing by approximately 0.12 compared to DPR-V06. Furthermore, summer error components show a minimal improvement, suggesting unresolved challenges in warm-season retrieval physics. This study establishes a systematic framework for evaluating precipitation retrieval advancements, providing critical insights for future satellite algorithm development and operational applications in hydrometeorological monitoring.https://www.mdpi.com/2072-4292/17/14/2410GPMdual-frequency precipitation radarprecipitation retrievalserror characteristicsmainland China |
| spellingShingle | Jia Song Haiwei Zhang Yi Lyu Hao Wu Fei Zhang Xu Ma Bin Yong Beyond Algorithm Updates: A Systematic Validation of GPM DPR-V07 over China’s Multiscale Topography Remote Sensing GPM dual-frequency precipitation radar precipitation retrievals error characteristics mainland China |
| title | Beyond Algorithm Updates: A Systematic Validation of GPM DPR-V07 over China’s Multiscale Topography |
| title_full | Beyond Algorithm Updates: A Systematic Validation of GPM DPR-V07 over China’s Multiscale Topography |
| title_fullStr | Beyond Algorithm Updates: A Systematic Validation of GPM DPR-V07 over China’s Multiscale Topography |
| title_full_unstemmed | Beyond Algorithm Updates: A Systematic Validation of GPM DPR-V07 over China’s Multiscale Topography |
| title_short | Beyond Algorithm Updates: A Systematic Validation of GPM DPR-V07 over China’s Multiscale Topography |
| title_sort | beyond algorithm updates a systematic validation of gpm dpr v07 over china s multiscale topography |
| topic | GPM dual-frequency precipitation radar precipitation retrievals error characteristics mainland China |
| url | https://www.mdpi.com/2072-4292/17/14/2410 |
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