Articles | Volume 17, issue 3
https://doi.org/10.5194/essd-17-817-2025
https://doi.org/10.5194/essd-17-817-2025
Data description paper
 | 
04 Mar 2025
Data description paper |  | 04 Mar 2025

SDUST2023VGGA: a global ocean vertical gradient of gravity anomaly model determined from multidirectional data from mean sea surface

Ruichen Zhou, Jinyun Guo, Shaoshuai Ya, Heping Sun, and Xin Liu

Data sets

SDUST2023VGGA Ruichen Zhou, Jinyun Guo, Shaoshuai Ya, Heping Sun, and Xin Liu https://doi.org/10.5281/zenodo.14177000

Short summary
SDUST2023VGGA is a high-resolution (1' × 1') model developed to map the ocean's vertical gradient of gravity anomaly. By using multidirectional mean sea surface data, it reduces the impact of ocean dynamics and provides detailed global gravity anomaly change rates. This model provides critical insights into seafloor structures and ocean mass distribution, contributing to research in marine geophysics and oceanography. The dataset is freely available on Zenodo.
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