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

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2024-544', Anonymous Referee #1, 05 Dec 2024
    • AC1: 'Reply on RC1', Jinyun Guo, 02 Jan 2025
    • AC3: 'Reply on RC1', Jinyun Guo, 11 Jan 2025
  • RC2: 'Comment on essd-2024-544', Anonymous Referee #2, 19 Dec 2024
    • AC2: 'Reply on RC2', Jinyun Guo, 04 Jan 2025

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Jinyun Guo on behalf of the Authors (12 Jan 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (13 Jan 2025) by Alberto Ribotti
AR by Jinyun Guo on behalf of the Authors (14 Jan 2025)
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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