On the Assessment GPS-Based WRFDA for InSAR Atmospheric Correction: A Case Study in Pearl River Delta Region of China
The accuracy and applications of synthetic aperture radar interferometry (InSAR) are severely suppressed by tropospheric error. Numerical Weather Models (NWMs) and GPS-derived tropospheric delays have been widely used to correct the tropospheric error considering their complete spatial coverage or h...
| Main Authors: | , , , , , |
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| Format: | Article |
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MDPI AG
2021-08-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/16/3280 |
| _version_ | 1797522170759348224 |
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| author | Zhenyi Zhang Yidong Lou Weixing Zhang Hua Wang Yaozong Zhou Jingna Bai |
| author_facet | Zhenyi Zhang Yidong Lou Weixing Zhang Hua Wang Yaozong Zhou Jingna Bai |
| author_sort | Zhenyi Zhang |
| collection | DOAJ |
| description | The accuracy and applications of synthetic aperture radar interferometry (InSAR) are severely suppressed by tropospheric error. Numerical Weather Models (NWMs) and GPS-derived tropospheric delays have been widely used to correct the tropospheric error considering their complete spatial coverage or high accuracy. However, few studies focus on the fusion of both NWMs and GPS for the tropospheric error correction. In this study, we used the Weather Research and Forecasting (WRF) to obtain NWMs with a higher spatial-temporal resolution of 3 km and 20 s from both ERAI (79 km and 6 h) and ERA5 (0.25° and 1 h). After that, we utilized the WRF Data Assimilation (WRFDA) system to assimilate the GPS ZTD into these enhanced NWMs and generate merged NWMs products. The tropospheric correction effectiveness from different NWMs products was evaluated in a case in the Pearl River Delta region of China. The results showed that all the NWMs products could correct the stratified component in the interferogram but could not mitigate the turbulence well, even after improving the spatial-temporal resolution. As for the trend component, the merged NWMs products showed obvious superiority over other products. From the statistics perspective, the <i>stdev</i> of the interferogram decreased further over 20% by the merged NWMs products than other products when using both ERAI and ERA5, indicating the significant effectiveness of GPS ZTD assimilation. |
| first_indexed | 2024-03-10T08:25:41Z |
| format | Article |
| id | doaj.art-b75544bee82642f68cae5faa1d467673 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T08:25:41Z |
| publishDate | 2021-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-b75544bee82642f68cae5faa1d4676732023-11-22T09:35:02ZengMDPI AGRemote Sensing2072-42922021-08-011316328010.3390/rs13163280On the Assessment GPS-Based WRFDA for InSAR Atmospheric Correction: A Case Study in Pearl River Delta Region of ChinaZhenyi Zhang0Yidong Lou1Weixing Zhang2Hua Wang3Yaozong Zhou4Jingna Bai5GNSS Research Center, Wuhan University, 129 Luoyu Road, Wuhan 430079, ChinaGNSS Research Center, Wuhan University, 129 Luoyu Road, Wuhan 430079, ChinaGNSS Research Center, Wuhan University, 129 Luoyu Road, Wuhan 430079, ChinaDepartment of Surveying Engineering, Guangdong University of Technology, Guangzhou 510006, ChinaGNSS Research Center, Wuhan University, 129 Luoyu Road, Wuhan 430079, ChinaGNSS Research Center, Wuhan University, 129 Luoyu Road, Wuhan 430079, ChinaThe accuracy and applications of synthetic aperture radar interferometry (InSAR) are severely suppressed by tropospheric error. Numerical Weather Models (NWMs) and GPS-derived tropospheric delays have been widely used to correct the tropospheric error considering their complete spatial coverage or high accuracy. However, few studies focus on the fusion of both NWMs and GPS for the tropospheric error correction. In this study, we used the Weather Research and Forecasting (WRF) to obtain NWMs with a higher spatial-temporal resolution of 3 km and 20 s from both ERAI (79 km and 6 h) and ERA5 (0.25° and 1 h). After that, we utilized the WRF Data Assimilation (WRFDA) system to assimilate the GPS ZTD into these enhanced NWMs and generate merged NWMs products. The tropospheric correction effectiveness from different NWMs products was evaluated in a case in the Pearl River Delta region of China. The results showed that all the NWMs products could correct the stratified component in the interferogram but could not mitigate the turbulence well, even after improving the spatial-temporal resolution. As for the trend component, the merged NWMs products showed obvious superiority over other products. From the statistics perspective, the <i>stdev</i> of the interferogram decreased further over 20% by the merged NWMs products than other products when using both ERAI and ERA5, indicating the significant effectiveness of GPS ZTD assimilation.https://www.mdpi.com/2072-4292/13/16/3280InSARtropospheric errorGPSreanalysisdata assimilation |
| spellingShingle | Zhenyi Zhang Yidong Lou Weixing Zhang Hua Wang Yaozong Zhou Jingna Bai On the Assessment GPS-Based WRFDA for InSAR Atmospheric Correction: A Case Study in Pearl River Delta Region of China Remote Sensing InSAR tropospheric error GPS reanalysis data assimilation |
| title | On the Assessment GPS-Based WRFDA for InSAR Atmospheric Correction: A Case Study in Pearl River Delta Region of China |
| title_full | On the Assessment GPS-Based WRFDA for InSAR Atmospheric Correction: A Case Study in Pearl River Delta Region of China |
| title_fullStr | On the Assessment GPS-Based WRFDA for InSAR Atmospheric Correction: A Case Study in Pearl River Delta Region of China |
| title_full_unstemmed | On the Assessment GPS-Based WRFDA for InSAR Atmospheric Correction: A Case Study in Pearl River Delta Region of China |
| title_short | On the Assessment GPS-Based WRFDA for InSAR Atmospheric Correction: A Case Study in Pearl River Delta Region of China |
| title_sort | on the assessment gps based wrfda for insar atmospheric correction a case study in pearl river delta region of china |
| topic | InSAR tropospheric error GPS reanalysis data assimilation |
| url | https://www.mdpi.com/2072-4292/13/16/3280 |
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