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author:

Mei, C. (Mei, C..) [1] | Sun, Y. (Sun, Y..) [2] | Li, Y. (Li, Y..) [3]

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Scopus

Abstract:

Low-degree coefficients of time-variable gravity field models from Gravity Recovery and Climate Experiment (GRACE) and GRACE-Follow On (GRACE-FO) capture large-scale mass changes within the Earth system. However, some of these coefficients are either missing (e.g., degree-1 coefficients) or poorly determined (e.g., (Formula presented.)). Such a situation is exacerbated particularly over the GRACE-FO period when one of the accelerometers carries elevated noise. In this study, we present a framework for estimating low-degree coefficients using the fingerprint approach. Our results demonstrate that this method can reliably estimate multiple coefficients simultaneously, producing degree-1, (Formula presented.), and (Formula presented.) estimates that are comparable to the currently recommended solutions, both in direct comparisons and in the context of estimating mass changes over the Antarctic Ice Sheet. This framework not only provides an alternative approach for determining low-degree coefficients currently identified as problematic in GRACE/GRACE-FO gravity field models, but also shows potential for addressing other degraded low-degree coefficients that may emerge during future GRACE-FO operations. © 2025. American Geophysical Union. All Rights Reserved.

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Community:

  • [ 1 ] [Mei C.]Key Lab of Spatial Data Mining and Information Sharing, Ministry of Education, Fuzhou University, Fujian, China
  • [ 2 ] [Mei C.]National Engineering Research Center of Geospatial Information Technology, Fuzhou University, Fujian, China
  • [ 3 ] [Mei C.]National & Local Joint Engineering Research Center of Satellite Geospatial Information Technology, Fuzhou University, Fujian, China
  • [ 4 ] [Sun Y.]Key Lab of Spatial Data Mining and Information Sharing, Ministry of Education, Fuzhou University, Fujian, China
  • [ 5 ] [Sun Y.]National Engineering Research Center of Geospatial Information Technology, Fuzhou University, Fujian, China
  • [ 6 ] [Sun Y.]National & Local Joint Engineering Research Center of Satellite Geospatial Information Technology, Fuzhou University, Fujian, China
  • [ 7 ] [Li Y.]State Key Laboratory of Geodesy and Earth's Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China
  • [ 8 ] [Li Y.]University of Chinese Academy of Sciences, Beijing, China

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Journal of Geophysical Research: Solid Earth

ISSN: 2169-9313

Year: 2025

Issue: 7

Volume: 130

3 . 9 0 0

JCR@2023

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 0

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