Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 17, issue 3
Articles | Volume 17, issue 3
https://doi.org/10.5194/essd-17-817-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-817-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 3
Data description article
 | 
04 Mar 2025
Data description article |  | 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

Viewed

Total article views: 3,693 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,610 974 109 3,693 98 151
  • HTML: 2,610
  • PDF: 974
  • XML: 109
  • Total: 3,693
  • BibTeX: 98
  • EndNote: 151
Views and downloads (calculated since 28 Nov 2024)
Cumulative views and downloads (calculated since 28 Nov 2024)

Viewed (geographical distribution)

Total article views: 3,693 (including HTML, PDF, and XML) Thereof 3,666 with geography defined and 27 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 16 Apr 2026
Download
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.
Read more
Share
Altmetrics
Final-revised paper
Preprint