Analysis of iGrav Superconducting Gravity Measurements in Kunming, China, with Emphasis on Calibration, Tides, and Hydrology

The superconducting gravimeter (SG) can provide excellent data to infer Earth’s surface time-varying gravity signals. In this study, we analyze the measurements and experiments of the newly established i Grav-007 SG during 2013–2019. The SG calibration factors with relative precisions of 0.0923% and...

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Bibliographic Details
Published in:Pure and applied geophysics 2023-02, Vol.180 (2), p.643-660
Main Authors: Luan, Wei, Shen, Wenbin, Jia, Jiangang
Format: Article
Language:English
Subjects:
Calibration
Coefficient of variation
Corrections
Diurnal
Earth and Environmental Science
Earth Sciences
Earth surface
Geophysics/Geodesy
Gravimeters
Gravity effects
Gravity meters
Groundwater
Groundwater levels
Height
Hydrology
Local precipitation
Mathematical analysis
Ocean models
Ocean tides
Oceans
Precipitation
Regression models
Superconductivity
Tides
Water storage
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Description
Summary:The superconducting gravimeter (SG) can provide excellent data to infer Earth’s surface time-varying gravity signals. In this study, we analyze the measurements and experiments of the newly established i Grav-007 SG during 2013–2019. The SG calibration factors with relative precisions of 0.0923% and 0.0782% are determined from two parallel registrations with FG5 absolute gravimeters, and the SG sensitivity calibration to the 0.1 μGal level is presented from a moving external-mass experiment. The local synthesized tides are then calculated with ET34-ANA-V73 software, and nine different ocean tide models for the eight diurnal/semi-diurnal constituents are tested for corrections of the ocean tide gravity effects. After preprocessing the raw SG data, we compare the gravity residuals with colocated precipitation, groundwater level, and GPS height observations from June 2017 to December 2018. Meanwhile, the local precipitation gravity effects are modeled by considering the recharge and discharge time, and the groundwater variation influences are described using a regression model with an admittance coefficient of 0.65 μGal/m. We are able to show good correlations between the gravity residuals and height changes as well as the estimated local and global water storage loading effects in the annual and seasonal (about 140 days) terms.
ISSN:0033-4553
1420-9136
DOI:10.1007/s00024-022-03036-6