SDUST2023GRA_MSS: the new global marine gravity anomaly model determined from mean sea surface model
Abstract The global marine gravity anomalies are primarily recovered from geoid gradients in the along-track directions obtained through satellite altimetry. However, the accuracy of the gravity model is significantly constrained by the sparse geoid gradients in the cross-track directions. To overco...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-01-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-04394-1 |
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| author | Jinyun Guo Xuyang Wei Zhen Li Yongjun Jia Xiaotao Chang Xin Liu |
| author_facet | Jinyun Guo Xuyang Wei Zhen Li Yongjun Jia Xiaotao Chang Xin Liu |
| author_sort | Jinyun Guo |
| collection | DOAJ |
| description | Abstract The global marine gravity anomalies are primarily recovered from geoid gradients in the along-track directions obtained through satellite altimetry. However, the accuracy of the gravity model is significantly constrained by the sparse geoid gradients in the cross-track directions. To overcome the scarcity of cross-track geoid gradients, we employ a mean sea surface model to calculate geoid gradients in multiple directions, thereby recovering marine gravity anomalies. A global marine gravity anomaly model with 1-arcmin grid was determined from an optimized mean sea surface model. The accuracy of this gravity anomaly model was assessed by shipborne gravity and released marine gravity anomaly models. By the combination of geoid gradients in multiple directions, the meridian components and the prime vertical components of deflections of the vertical achieved consistent accuracy. The accuracy of the gravity anomaly model is 4.31 mGal, derived from shipborne gravity anomalies. Furthermore, the accuracy of this model has been validated across various regions, encompassing different latitudes, bathymetry, and distances from the coastline. The new gravity anomaly model slightly outperforms the released model. |
| format | Article |
| id | doaj-art-f0b5cad17e9e4e1ab34f73e7288de4e1 |
| institution | Kabale University |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-f0b5cad17e9e4e1ab34f73e7288de4e12025-01-26T12:14:29ZengNature PortfolioScientific Data2052-44632025-01-0112111110.1038/s41597-025-04394-1SDUST2023GRA_MSS: the new global marine gravity anomaly model determined from mean sea surface modelJinyun Guo0Xuyang Wei1Zhen Li2Yongjun Jia3Xiaotao Chang4Xin Liu5College of Geodesy and Geomatics, Shandong University of Science and TechnologyCollege of Geodesy and Geomatics, Shandong University of Science and TechnologyCollege of Geodesy and Geomatics, Shandong University of Science and TechnologyNational Satellite Ocean Application Service, Ministry of Natural ResourcesLand Satellite Remote Sensing Application Center, Ministry of Natural ResourcesCollege of Geodesy and Geomatics, Shandong University of Science and TechnologyAbstract The global marine gravity anomalies are primarily recovered from geoid gradients in the along-track directions obtained through satellite altimetry. However, the accuracy of the gravity model is significantly constrained by the sparse geoid gradients in the cross-track directions. To overcome the scarcity of cross-track geoid gradients, we employ a mean sea surface model to calculate geoid gradients in multiple directions, thereby recovering marine gravity anomalies. A global marine gravity anomaly model with 1-arcmin grid was determined from an optimized mean sea surface model. The accuracy of this gravity anomaly model was assessed by shipborne gravity and released marine gravity anomaly models. By the combination of geoid gradients in multiple directions, the meridian components and the prime vertical components of deflections of the vertical achieved consistent accuracy. The accuracy of the gravity anomaly model is 4.31 mGal, derived from shipborne gravity anomalies. Furthermore, the accuracy of this model has been validated across various regions, encompassing different latitudes, bathymetry, and distances from the coastline. The new gravity anomaly model slightly outperforms the released model.https://doi.org/10.1038/s41597-025-04394-1 |
| spellingShingle | Jinyun Guo Xuyang Wei Zhen Li Yongjun Jia Xiaotao Chang Xin Liu SDUST2023GRA_MSS: the new global marine gravity anomaly model determined from mean sea surface model Scientific Data |
| title | SDUST2023GRA_MSS: the new global marine gravity anomaly model determined from mean sea surface model |
| title_full | SDUST2023GRA_MSS: the new global marine gravity anomaly model determined from mean sea surface model |
| title_fullStr | SDUST2023GRA_MSS: the new global marine gravity anomaly model determined from mean sea surface model |
| title_full_unstemmed | SDUST2023GRA_MSS: the new global marine gravity anomaly model determined from mean sea surface model |
| title_short | SDUST2023GRA_MSS: the new global marine gravity anomaly model determined from mean sea surface model |
| title_sort | sdust2023gra mss the new global marine gravity anomaly model determined from mean sea surface model |
| url | https://doi.org/10.1038/s41597-025-04394-1 |
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