• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
成果搜索

author:

Guo, Xiang (Guo, Xiang.) [1] | Lian, Yidu (Lian, Yidu.) [2] | Sun, Yu (Sun, Yu.) [3] | Zhou, Hao (Zhou, Hao.) [4] | Luo, Zhicai (Luo, Zhicai.) [5]

Indexed by:

EI

Abstract:

The time-varying gravity field models derived from the Gravity Recovery and Climate Experiment (GRACE) satellite mission suffer from pronounced longitudinal stripe errors in the spatial domain. A potential way to mitigate such errors is to combine GRACE data with observations from other sources. In this study, we investigate the impacts on GRACE monthly gravity field solutions of incorporating the GPS data collected by the Gravity Field and Steady-State Ocean Circulation Explorer (GOCE) mission. To that end, we produce GRACE/GOCE combined monthly gravity field solutions through combination on the normal equation level and compare them with the GRACE-only solutions, for which we have considered the state-of-the-art ITSG-Grace2018 solutions. Analysis in the spectral domain reveals that the combined solutions have a notably lower noise level beyond degree 30, with cumulative errors up to degree 96 being reduced by 31%. A comparison of the formal errors reveals that the addition of GOCE GPS data mainly improves (near-) sectorial coefficients and resonant orders, which cannot be well determined by GRACE alone. In the spatial domain, we also observe a significant reduction by at least 30% in the noise of recovered mass changes after incorporating the GOCE GPS data. Furthermore, the signal-to-noise ratios of mass changes over 180 large river basins were improved by 8–20% (dependent on the applied Gaussian filter radius). These results demonstrate that the GOCE GPS data can augment the GRACE monthly gravity field solutions and support a future GOCE-type mission for tracking more accurate time-varying gravity fields. © 2024 by the authors.

Keyword:

Climate models Errors Geodetic satellites Global positioning system Signal to noise ratio

Community:

  • [ 1 ] [Guo, Xiang]National Precise Gravity Measurement Facility, School of Physics, Huazhong University of Science and Technology, Wuhan; 430074, China
  • [ 2 ] [Guo, Xiang]Institute of Geophysics, School of Physics, Huazhong University of Science and Technology, Wuhan; 430074, China
  • [ 3 ] [Lian, Yidu]National Precise Gravity Measurement Facility, School of Physics, Huazhong University of Science and Technology, Wuhan; 430074, China
  • [ 4 ] [Lian, Yidu]Institute of Geophysics, School of Physics, Huazhong University of Science and Technology, Wuhan; 430074, China
  • [ 5 ] [Sun, Yu]Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou University, Fuzhou; 350108, China
  • [ 6 ] [Zhou, Hao]National Precise Gravity Measurement Facility, School of Physics, Huazhong University of Science and Technology, Wuhan; 430074, China
  • [ 7 ] [Zhou, Hao]Institute of Geophysics, School of Physics, Huazhong University of Science and Technology, Wuhan; 430074, China
  • [ 8 ] [Luo, Zhicai]National Precise Gravity Measurement Facility, School of Physics, Huazhong University of Science and Technology, Wuhan; 430074, China
  • [ 9 ] [Luo, Zhicai]Institute of Geophysics, School of Physics, Huazhong University of Science and Technology, Wuhan; 430074, China

Reprint 's Address:

Email:

Show more details

Related Keywords:

Source :

Remote Sensing

Year: 2024

Issue: 9

Volume: 16

4 . 2 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

Affiliated Colleges:

Online/Total:78/10070212
Address:FZU Library(No.2 Xuyuan Road, Fuzhou, Fujian, PRC Post Code:350116) Contact Us:0591-22865326
Copyright:FZU Library Technical Support:Beijing Aegean Software Co., Ltd. 闽ICP备05005463号-1