Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 16, issue 3
Articles | Volume 16, issue 3
https://doi.org/10.5194/essd-16-1167-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-1167-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 3
Data description article
 | 
05 Mar 2024
Data description article |  | 05 Mar 2024

Global marine gravity gradient tensor inverted from altimetry-derived deflections of the vertical: CUGB2023GRAD

Richard Fiifi Annan, Xiaoyun Wan, Ruijie Hao, and Fei Wang

Viewed

Total article views: 3,308 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,176 957 175 3,308 184 229
  • HTML: 2,176
  • PDF: 957
  • XML: 175
  • Total: 3,308
  • BibTeX: 184
  • EndNote: 229
Views and downloads (calculated since 23 Jun 2023)
Cumulative views and downloads (calculated since 23 Jun 2023)

Viewed (geographical distribution)

Total article views: 3,308 (including HTML, PDF, and XML) Thereof 3,237 with geography defined and 71 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 15 Mar 2026
Download
Short summary
Gravity gradient tensor, a set of six unique gravity signals, is suitable for detecting undersea features. However, due to poor spatial resolution in past years, it has received less research interest and investment. However, current datasets have better accuracy and resolutions, thereby necessitating a revisit. Our analysis shows comparable results with reference models. We conclude that current-generation altimetry datasets can precisely resolve all six gravity gradients.
Read more
Share
Altmetrics
Final-revised paper
Preprint