Preprints
https://doi.org/10.5194/essd-2023-498
https://doi.org/10.5194/essd-2023-498
11 Dec 2023
 | 11 Dec 2023
Status: this preprint is currently under review for the journal ESSD.

SDUST2020MGCR: a global marine gravity change rate model determined from multi-satellite altimeter data

Fengshun Zhu, Jinyun Guo, Huiying Zhang, Lingyong Huang, Heping Sun, and Xin Liu

Abstract. Investigating global time-varying gravity field mainly depends on GRACE/GRACE-FO gravity data. However, satellite gravity data exhibits low spatial resolution and signal distortion. The satellite altimetry is an important technique for observing global ocean, providing continuous multi-year data that enables the study of high-resolution time-varying marine gravity. This study aims to construct a high- resolution marine gravity change rate (MGCR) model using multi-satellite altimetry data. Initially, multi-satellite altimetry data and ocean temperature-salinity data from 1993 to 2019 are utilized to estimate the altimetry sea level change rate (SLCR) and steric SLCR, respectively. Subsequently, the mass-term SLCR is calculated. Finally, based on mass-term SLCR, we construct the global MGCR model on 5′×5′ grids (SDUST2020MGCR) applying the spherical harmonic function method and mass load theory. Comparisons and analyses are conducted between SDUST2020MGCR and GRACE2020MGCR resolved from GRACE/GRACE-FO gravity data. The spatial distribution characteristics of SDUST2020MGCR and GRACE2020MGCR are similar in the sea areas where gravity changes significantly, such as the seas near some ocean currents, the western seas of Nicobar Islands, and the southern seas of Greenland. The statistical mean values of SDUST2020MGCR and GRACE2020MGCR in global and local oceans are all positive, indicating that MGCR is rising. Nonetheless, differences in spatial distribution and statistical results exist spatial resolution disparities among altimetry data, ocean temperature-salinity data, between SDUST2020MGCR and GRACE2020MGCR, primarily attributable to and GRACE/GRACE-FO data. Compared with GRACE2020MGCR, SDUST2020MGCR has higher spatial resolution and excludes stripe noise and leakage errors. The high-resolution MGCR model constructed using altimetry data can reflect the long-term marine gravity change in more detail, which is helpful to study Earth mass migration. The SDUST2020MGCR model data is available at https://zenodo.org/records/10098524 (Zhu et al., 2023b).

Fengshun Zhu, Jinyun Guo, Huiying Zhang, Lingyong Huang, Heping Sun, and Xin Liu

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Reviewer Comment on essd-2023-498', Anonymous Referee #1, 07 Jan 2024
    • AC1: 'Reply on RC1', Jinyun Guo, 25 Feb 2024
    • AC4: 'Reply on RC1', Jinyun Guo, 27 Feb 2024
  • RC2: 'Comment on essd-2023-498', Anonymous Referee #2, 02 Feb 2024
    • AC2: 'Reply on RC2', Jinyun Guo, 25 Feb 2024
  • CC1: 'Comment on essd-2023-498', Xiaoyun Wan, 18 Feb 2024
    • AC3: 'Reply on CC1', Jinyun Guo, 25 Feb 2024
    • AC5: 'Reply on CC1', Jinyun Guo, 27 Feb 2024
Fengshun Zhu, Jinyun Guo, Huiying Zhang, Lingyong Huang, Heping Sun, and Xin Liu

Data sets

SDUST2020MGCR: a global marine gravity change rate model determined from multi-satellite altimeter data Zhu Fengshun, Guo Jinyun, Zhang Huiying, Huang Lingyong, Sun Heping, Liu Xin https://doi.org/10.5281/zenodo.10096803

Fengshun Zhu, Jinyun Guo, Huiying Zhang, Lingyong Huang, Heping Sun, and Xin Liu

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Short summary
We used multi-satellite altimeter data to construct a high-resolution marine gravity change rate (MGCR) model on 5′×5′ grids, named SDUST2020MGCR. The spatial distribution of SDUST2020MGCR and GRACE MGCR are similar, such as eastern seas of Japan (dipole), western seas of the Nicobar Islands (rising), and southern seas of Greenland (falling). In particular, the SDUST2020MGCR can provide a detailed view of long-term marine gravity change, which will help to study the Earth's mass migration.
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