Articles | Volume 16, issue 3
https://doi.org/10.5194/essd-16-1167-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-1167-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Global marine gravity gradient tensor inverted from altimetry-derived deflections of the vertical: CUGB2023GRAD
Richard Fiifi Annan
School of Land Science and Technology, China University of Geosciences (Beijing), Beijing 100083, China
Xiaoyun Wan
CORRESPONDING AUTHOR
School of Land Science and Technology, China University of Geosciences (Beijing), Beijing 100083, China
Ruijie Hao
School of Land Science and Technology, China University of Geosciences (Beijing), Beijing 100083, China
Fei Wang
School of Land Science and Technology, China University of Geosciences (Beijing), Beijing 100083, China
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Cited
16 citations as recorded by crossref.
- Computation of the marine full tensor gravity gradient from satellite altimetry in a local planar coordinate system Z. Ye et al. https://doi.org/10.1007/s11200-024-0846-4
- Gravity anomaly recovery using the gravity gradient tensors based on variable-order numerical integration J. Bu et al. https://doi.org/10.1007/s10596-025-10397-z
- Global marine full-tensor gravity gradients constructed by a differential method X. Wan et al. https://doi.org/10.1016/j.geog.2026.07.007
- Bathymetry Inversion Using Full Tensor Gravity Gradients: A Case Study in the Bay of Bengal X. Wan et al. https://doi.org/10.1109/JSTARS.2026.3662012
- Deriving full-tensor gravity gradients over the Arabian Sea from SWOT altimetry using a stacked discretization method H. Guo & X. Wan https://doi.org/10.1016/j.asr.2025.12.101
- Deflection of the Vertical from SWOT Altimetry: Grid-Based Inversion Versus Crossover Estimation in the Bay of Bengal M. Murshan et al. https://doi.org/10.1080/01490419.2026.2639996
- Refinement of Full-Tensor Marine Gravity Gradients Using Bathymetric Data With Nonlinear Effect Consideration Z. Ma et al. https://doi.org/10.1109/TGRS.2025.3628351
- SDUST2023VGGA: a global ocean vertical gradient of gravity anomaly model determined from multidirectional data from mean sea surface R. Zhou et al. https://doi.org/10.5194/essd-17-817-2025
- Covariance-migration-based joint inversion using altimetry-derived gravity data for enhancing the Arctic Ocean seafloor mapping X. Pei et al. https://doi.org/10.1016/j.asr.2026.07.001
- Data interpolation of SWOT/KaRIn blank for modelling marine vertical gradient of gravity anomaly S. Ya et al. https://doi.org/10.1093/gji/ggag039
- High-Resolution Quasi-Geoid Recovery Over Coastal Zone by Using Airborne Gravity Gradient Data Y. Wu et al. https://doi.org/10.1109/TGRS.2025.3588586
- Marine Quasi-Geoid Enhancement From SWOT Wide-Swath Data and Its Mapping of Mean Dynamic Topography Over Island Areas Y. Wu et al. https://doi.org/10.1109/TGRS.2025.3592243
- Global marine gravity field models at 1-arcminute resolution derived from optimized fusion of ICESat-2 along-track and cross-track measurements X. Liu et al. https://doi.org/10.1038/s41597-026-07302-3
- Simulation Analysis of Inverting Marine Vertical Deflection Using Spaceborne GNSS-R Interferometric Altimetry L. Duan et al. https://doi.org/10.1109/JSTARS.2024.3520186
- An Improved Latitude Difference Method for SWOT Accuracy Evaluation Using Crossover Discrepancies H. Guo et al. https://doi.org/10.1109/TGRS.2025.3555795
- Physics-informed neural networks for interpolating sparse marine gravity data X. Wu et al. https://doi.org/10.1016/j.jappgeo.2026.106403
16 citations as recorded by crossref.
- Computation of the marine full tensor gravity gradient from satellite altimetry in a local planar coordinate system Z. Ye et al. https://doi.org/10.1007/s11200-024-0846-4
- Gravity anomaly recovery using the gravity gradient tensors based on variable-order numerical integration J. Bu et al. https://doi.org/10.1007/s10596-025-10397-z
- Global marine full-tensor gravity gradients constructed by a differential method X. Wan et al. https://doi.org/10.1016/j.geog.2026.07.007
- Bathymetry Inversion Using Full Tensor Gravity Gradients: A Case Study in the Bay of Bengal X. Wan et al. https://doi.org/10.1109/JSTARS.2026.3662012
- Deriving full-tensor gravity gradients over the Arabian Sea from SWOT altimetry using a stacked discretization method H. Guo & X. Wan https://doi.org/10.1016/j.asr.2025.12.101
- Deflection of the Vertical from SWOT Altimetry: Grid-Based Inversion Versus Crossover Estimation in the Bay of Bengal M. Murshan et al. https://doi.org/10.1080/01490419.2026.2639996
- Refinement of Full-Tensor Marine Gravity Gradients Using Bathymetric Data With Nonlinear Effect Consideration Z. Ma et al. https://doi.org/10.1109/TGRS.2025.3628351
- SDUST2023VGGA: a global ocean vertical gradient of gravity anomaly model determined from multidirectional data from mean sea surface R. Zhou et al. https://doi.org/10.5194/essd-17-817-2025
- Covariance-migration-based joint inversion using altimetry-derived gravity data for enhancing the Arctic Ocean seafloor mapping X. Pei et al. https://doi.org/10.1016/j.asr.2026.07.001
- Data interpolation of SWOT/KaRIn blank for modelling marine vertical gradient of gravity anomaly S. Ya et al. https://doi.org/10.1093/gji/ggag039
- High-Resolution Quasi-Geoid Recovery Over Coastal Zone by Using Airborne Gravity Gradient Data Y. Wu et al. https://doi.org/10.1109/TGRS.2025.3588586
- Marine Quasi-Geoid Enhancement From SWOT Wide-Swath Data and Its Mapping of Mean Dynamic Topography Over Island Areas Y. Wu et al. https://doi.org/10.1109/TGRS.2025.3592243
- Global marine gravity field models at 1-arcminute resolution derived from optimized fusion of ICESat-2 along-track and cross-track measurements X. Liu et al. https://doi.org/10.1038/s41597-026-07302-3
- Simulation Analysis of Inverting Marine Vertical Deflection Using Spaceborne GNSS-R Interferometric Altimetry L. Duan et al. https://doi.org/10.1109/JSTARS.2024.3520186
- An Improved Latitude Difference Method for SWOT Accuracy Evaluation Using Crossover Discrepancies H. Guo et al. https://doi.org/10.1109/TGRS.2025.3555795
- Physics-informed neural networks for interpolating sparse marine gravity data X. Wu et al. https://doi.org/10.1016/j.jappgeo.2026.106403
Saved (final revised paper)
Latest update: 11 Aug 2026
Short summary
Gravity gradient tensor, a set of six unique gravity signals, is suitable for detecting undersea features. However, due to poor spatial resolution in past years, it has received less research interest and investment. However, current datasets have better accuracy and resolutions, thereby necessitating a revisit. Our analysis shows comparable results with reference models. We conclude that current-generation altimetry datasets can precisely resolve all six gravity gradients.
Gravity gradient tensor, a set of six unique gravity signals, is suitable for detecting undersea...
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