EGU24-14290, updated on 09 Mar 2024
https://doi.org/10.5194/egusphere-egu24-14290
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Combination and analysis of the SLR monthly Earth’s oblateness variation solutions from different processing strategies

Hongjuan Yu1, Lin Zhang2, and Yong Zhang1
Hongjuan Yu et al.
  • 1School of Geomatics, Liaoning Technical University, Fuxin 123000, China, yuhongjuan123@163.com
  • 2College of Surveying and Geo-informatics, Tongji University, Shanghai 200092, China, 2011480@tongji.edu.cn

The publicly available SLR-derived monthly Earth’s oblateness C20 (or J2) time series exhibits varying levels of noise or systematic errors depending on the processing strategies used during estimation. We propose the use of two strategies, variance component estimate (VCE) and equal weighting (EW), to combine the SLR-derived J2 time series from four internationally renowned institutions. The resulting combined J2 time series is theoretically expected to demonstrate enhanced quality by reducing noise and systematic errors compared to individual contributions. These two combined solutions alongside four individual solutions are then discussed by analyzing their effects on global and local mass changes, thus exploring the potential for an optimized J2 time series in GRACE applications. The two combined SLR-derived J2 time series can assess the accuracy of the GRACE-derived J2 time series, which has shown poor but progressively improving accuracy. Results indicate that the RL06 version model of GRACE-derived J2 significantly outperforms the RL05 version, thus rendering the 160-day ocean tide effect in RL06 negligible. Moreover, significant discrepancies and lower quality among the various institutions' GRACE-derived J2 lead to Antarctic/Greenland ice sheet mass change estimates notably deviating from SLR-derived results. Therefore, upon replacing the GRACE-derived J2 time series with the VCE-combined SLR-J2 time series, the difference between the calculated mass change of the Antarctic/Greenland ice sheet and the RACMO2.3p2 model is theoretically the smallest, displaying the highest correlation coefficient between them.

How to cite: Yu, H., Zhang, L., and Zhang, Y.: Combination and analysis of the SLR monthly Earth’s oblateness variation solutions from different processing strategies, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-14290, https://doi.org/10.5194/egusphere-egu24-14290, 2024.