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SYSU_Topo: SWOT-derived global bathymetric model

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NIAID Data Ecosystem2026-05-02 收录
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https://zenodo.org/record/14964148
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The Surface Water and Ocean Topography (SWOT) mission provides novel perspectives for ocean observations, including ocean dynamics, marine gravity, and seafloor topography. In this study, we employed the high-precision gravity-geological method and developed an inversion strategy using sliding windows with boundary constraint points, focusing on the global region between 180°W–180°E and 80°S–80°N. Using gravity anomalies from the grav_SWOT_02 model (released by Scripps Institution of Oceanography), we constructed the global seafloor topography model SYSU_Topo with 1 arc-min resolution. The model was validated with approximately 11,167,583 independent single-beam bathymetric points and newly added multibeam grid points from GEBCO_2024. Results show that SYSU_Topo has 87% absolute errors ≤100 m and 89% relative errors ≤5% in single-beam validation, with minimal and concentrated error distribution. In multibeam validation, the five compared models demonstrate regional advantages, where SYSU_Topo shows significant improvement in the South China Sea—an area with sparse early-stage data. Compared to traditional altimeter-derived gravity anomalies, SWOT data exhibits greater potential in filling regions lacking high-precision bathymetry, thereby enhancing seafloor topography inversion accuracy. Even when modelled solely with single-beam data, the SYSU_Topo model achieves reliable precision. This research provides a new benchmark framework for integrating multi-source bathymetric data to construct high-resolution seafloor topography, contributing to the advancement of global ocean mapping efforts.
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2025-03-06
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