- 1The Hong Kong Polytechnic University, Department of Land Surveying and Geo-Informatics, Hong Kong, China (yufeng.nie@polyu.edu.hk)
- 2Research Institute for Land and Space, The Hong Kong Polytechnic University, Hong Kong, China
- 3The Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen, China
- 4Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai, China
- 5School of Astronomy and Space Science, University of Chinese Academy of Sciences, Beijing, China
The geocenter motion describes the relative motion between the Earth’s center-of-mass and center-of-figure, representing one of the largest-scale mass redistributions in the Earth system. Accurate determination of geocenter motion is essential for the realization of the terrestrial reference frames (TRF) and for the full-spectrum monitoring of global mass variations. Traditionally, geocenter motion can be estimated directly from Satellite Laser Ranging (SLR) by tracking orbital motion with ground stations since the 1990s or indirectly from gravity fields provided by the Gravity Recovery and Climate Experiment (GRACE) since 2002. However, SLR-derived geocenter motion estimates are generally unsuitable for studying long-term mass changes because the secular trend is absorbed by the linear definition of the TRF. Additionally, only low-degree gravity fields were available before GRACE (e.g., from SLR), resulting in significant signal leakage errors in geocenter estimates. In this study, we derive the geocenter motion from low-degree gravity fields (up to degree and order 5) after properly addressing signal leakage effect. By combining the leakage-corrected land mass patterns with self-consistent ocean mass fingerprints, we generate geocenter motion estimates and compare them with those derived from GRACE, geophysical models, and the SLR direct tracking method. The trends in our estimates are consistent with GRACE and models, while the SLR direct estimates yield opposite trends, leading to significantly underestimated global ocean mass change rates. Our study provides promising results for deriving long-term estimates of geocenter motion, enabling the study of mass changes in the global oceans and polar ice sheets back to the 1990s.
How to cite: Nie, Y., Chen, J., Peng, D., and Li, J.: Deriving long-term geocenter motion estimates for geophysical applications, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-5390, https://doi.org/10.5194/egusphere-egu25-5390, 2025.