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SYSU_Topo: a 1-arc-minute global bathymetry from SWOT-derived gravity using the gravity-geological method
Wei Feng1, Dechao An2, Cheinway Hwang3
1School of Geospatial Engineering and Science, Sun Yat-sen University, Zhuhai, 519082, China. fengwei@mail.sysu.edu.cn.
A new global bathymetric product, SYSU_Topo, was created using Surface Water and Ocean Topography (SWOT) data and gravity anomalies. This product offers improved seafloor mapping and ocean modeling capabilities.
Area of Science:
- Oceanography
- Geophysics
- Geodesy
Background:
- The Surface Water and Ocean Topography (SWOT) mission offers new insights into Earth's water bodies.
- Accurate global bathymetry is crucial for ocean modeling and geophysical studies.
- Existing bathymetric data has limitations in coverage and precision.
Purpose of the Study:
- To develop a novel global bathymetric product named SYSU_Topo.
- To leverage SWOT mission data and gravity anomalies for enhanced bathymetric mapping.
- To provide openly accessible data and processing codes for scientific reuse.
Main Methods:
- Utilized gravity anomalies from the SWOT_02 model and the gravity-geological method (GGM).
- Employed a sliding-window strategy for partition inversion to determine optimal density contrast.
- Developed a fusion method with boundary-constraint points to mitigate splicing effects.
Main Results:
- The SYSU_Topo model provides global bathymetry data (80°S to 80°N) at 1-arc-minute resolution.
- Validation against extensive bathymetric points and GEBCO_2024 data confirmed model reliability.
- SYSU_Topo demonstrated superior performance in the South China Sea, outperforming other models by 8%-26%.
Conclusions:
- SWOT data shows significant potential for improving bathymetry in data-sparse regions.
- The SYSU_Topo product offers a valuable resource for ocean modeling, geophysics, and seafloor mapping.
- Openly available data and codes facilitate further research and applications.
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