Published February 1, 2026 | Version v1
Dataset Open

A global marine bathymetry-derived gravity model SWOTBatGRA computed using the SWOT data

Authors/Creators

  • 1. ROR icon Nanjing Tech University
  • 2. ROR icon Technical University of Denmark
  • 3. ROR icon The Ohio State University
  • 4. State Key Laboratroy of Spatial Datum
  • 5. ROR icon Huazhong University of Science and Technology
  • 6. ROR icon Wuhan University
  • 7. Sun Yat-sen University

Description

SWOTBatGRA is the first global marine bathymetry-derived gravity model computed using the Surface Water and Ocean Topography (SWOT) data. SWOTBatGRA focuses on enhancing short-wavelength signals at spatial scales finer than those resolved by altimetric gravity data. SWOTBatGRA maps the global marine gravity field (80°S~80°N, 0°E~360°E) at a spatial resolution of 1 arc-minute.

The computation of SWOTBatGRA is based on the BathDNN25, developed by the University of Newcastle, Callaghan, Australia, using the SWOT gravity data (Salajegheh et al., 2025). SWOTBatGRA comprises five components: gravity anomaly (SWOTBatGRA_GRA.nc), gravity disturbance (SWOTBatGRA_GD.nc), quasi-geoid height (SWOTBatGRA_QG.nc), and north and east components of the deflection of the vertical (SWOTBatGRA_DOVN.nc and SWOTBatGRA_DOVE.nc).  

Files

Files (1.7 GB)

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md5:42802f40bcac7c19186a19fb75a53742
351.9 MB Download
md5:6ff30fde1a650414e9e5bea3823a1e6b
334.7 MB Download
md5:25baaeea886eaf47024e7b45b3133f36
423.7 MB Download
md5:33173bf44a83fae5f1601aada520b803
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md5:720f225cdee1af3b3f06124056c8753e
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Additional details

References

  • Salajegheh, F., Deng, X., Andersen, O. B., Coleman, R., & Khaki, M. (2025). SWOT Global bathymetry modeling using deep neural networks trained on multiple geophysical features. Earth and Space Science, 12, e2025EA004545. https://doi.org/10.1029/2025EA004545