Marine Quasi-Geoid Enhancement From SWOT Wide-Swath Data and Its Mapping of Mean Dynamic Topography Over Island Areas
The lack of marine gravimetric measurements and the presence of severely contaminated altimetry data pose multiple challenges in high-quality quasi-geoid (QG) and mean dynamic topography (MDT) determination over islands, where the application of nadir altimetry alone is inadequate. We explore the potential for regional enhancement using wide-swath data from the Surface Water and Ocean Topography (SWOT) mission. Numerical experiments over the Paracel Islands in South China Sea underscore the superiority of using SWOT data in QG/MDT computation. Comparisons with the airborne gravimetry-derived QG reveal that the Root Mean Square Errors (RMSEs) of QGs derived from the SWOT data are reduced by 38.24–60.90% compared to those derived solely from nadir altimetry. The QG profiles retrieved from the Sentinel-3A/B altimetry using the fully-focused SAR technology are effective in discriminating the quality of different QGs near islands. The RMSEs of SWOT-derived QGs constitute reductions of 6.27–17.52% compared to those computed from nadir altimetry alone. Notable improvements up to 4 cm are observed when Sentinel-3A/B tracks approached islands. The mutual comparison of the QGs computed from the SWOT gravity anomaly (GRA) and vertical gravity gradient (VGG) data suggests that the VGG-derived QG has improved quality, and the utilization of VGG recovers more small-scale signals. The SWOT-derived MDTs reduce the bubble-like errors up to several centimeters compared to those computed exclusively using nadir altimetry. Our findings highlight that utilizing SWOT data enables the acquisition of an accurate QG/MDT with an RMSE less than 1 cm compared to that derived from airborne gravimetry.
Authors
- Haihong Wang (ORCID: https://orcid.org/0000-0002-0106-8360)
- Zhicai Luo (ORCID: https://orcid.org/0000-0002-5824-0280)
- Ole Andersen (ORCID: https://orcid.org/0000-0002-6685-3415)
- Bin Wang (ORCID: https://orcid.org/0000-0001-5609-1149)
- Xiufeng He
- Yihao Wu (ORCID: https://orcid.org/0000-0001-8026-6105)
- Haodan Shi (ORCID: https://orcid.org/0000-0002-3514-2768)
- Adili Abulaitijiang
Institutions
- Nanjing Tech University (CN)
- University of Bonn (DE)
- Hohai University (CN)
- Wuhan University (CN)
- Huazhong University of Science and Technology (CN)
- Technical University of Denmark (DK)
Publication Details
- Journal
- IEEE Transactions on Geoscience and Remote Sensing
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/tgrs.2025.3592243
- Citations
- 1
- Primary Topic
- Methane Hydrates and Related Phenomena
- Type
- article
- Field-Weighted Citation Impact
- 0.86
Funders
- National Natural Science Foundation of China