SWOTBat2026GGT: A global marine bathymetry-derived gravity gradient tensor modeled from SWOT data

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Authors: Yihao Wu, Zhicai Luo, Andersen, Ole Baltazar, HaiHong Wang, He Xiufeng
Cited by: 0

Abstract

SWOTBat2026GGT is a global marine gravity gradient tensor (GGT) model derived from bathymetric data computed through the integration of Surface Water and Ocean Topography (SWOT) data. This model maps the global marine gravity field (80°S~80°N, 0°E~360°E), with a spatial resolution of 1′. SWOTBat2026GGT is designed to enhance short-wavelength gravity gradient signals at short wavelengths, providing finer detail than that achievable with conventional satellite altimetry data. The SWOTBat2026GGT model comprises six components: Txx (SWOTBat2026GGT_Txx.nc), Tyy (SWOTBat2026GGT_Tyy.nc), Tzz (SWOTBat2026GGT_Tzz.nc), Txy (SWOTBat2026GGT_Txy.nc), Txz (SWOTBat2026GGT_Txz.nc), and Tyz (SWOTBat2026GGT_Tyz.nc).

Fields of Study & Subjects

Geophysics and Gravity Measurements Ocean Waves and Remote Sensing Oceanographic and Atmospheric Processes

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
24 February 2026
Language
EN
Document type
Dataset