Performance of superconducting gravimeters from long-period seismology to tides

Rosat, Séverine; Hinderer, J.; Crossley, David; Boy, Jean‐Paul

doi:10.1016/j.jog.2004.07.005

Cited by 67 publications

(65 citation statements)

References 28 publications

(50 reference statements)

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“…Brussels' instrument had a problem of calibration (Ducarme et al 2002) and its data contained many disturbances. Besides, the site condition was difficult resulting in a high noise level (Rosat et al 2004). The SG station BE we employed, is characterized by the spectral index of -1.64 and relatively high power-law noise amplitude of 230 nm/s 2 /year -j/4 , confirming the findings of Rosat et al (2004).…”

Section: Stochastic Partmentioning

confidence: 99%

“…Besides, the site condition was difficult resulting in a high noise level (Rosat et al 2004). The SG station BE we employed, is characterized by the spectral index of -1.64 and relatively high power-law noise amplitude of 230 nm/s 2 /year -j/4 , confirming the findings of Rosat et al (2004). The character of power-law explains all the power of the series from the lowest frequencies up to 140 cpy.…”

Section: Stochastic Partmentioning

confidence: 99%

“…The site conditions at Potsdam (Germany, Neumeyer et al 2017) station made it a rather noisy site (Rosat et al 2004). The station was stopped in 1998.…”

Section: Stochastic Partmentioning

confidence: 99%

“…Vienna (Austria) station was a very good site-sensor combination in terms of noise levels (Rosat et al 2004). It was located about 800 km far from the North-Sea coast.…”

Section: Stochastic Partmentioning

confidence: 99%

“…They statistically averaged the observations to obtain and investigate power spectral density (PSD) of the noise in the frequency band from 0.05 to 20 mHz. Rosat et al (2004) extended this noise level study to tidal frequencies. They particularly showed that SGs perform better than seismometers below 1 mHz.…”

Section: Introductionmentioning

confidence: 99%

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On the noise characteristics of time series recorded with nearby located GPS receivers and superconducting gravity meters

et al. 2018

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The inter-comparison of ground gravity measurements and vertical surface displacements enables to better understand the structure, dynamics and evolution of the Earth's system. Within this research we analyzed the Global Positioning System vertical position time series acquired in the vicinity of the superconducting gravimeters. We estimated of noise character of GPS and SG by comparison of the satellite and terrestrial measurements collected at 18 globally distributed neighboring sites. The comparable results were provided by applying the appropriate and corresponding models of geophysical phenomena to obtain residual time series, and by unifying the sampling rate since the noise characteristics may depend on it. The deterministic part of the series was assumed to follow the Polynomial Trend Model and was subtracted prior to noise analysis. Then, a combination of power-law and white noise was presumed and the Maximum Likelihood Estimation implemented in the Hector software to investigate the stochastic part was applied. Within the paper, we show that the spectral indices for all SG time series fall in the area of fractional Brownian motion (-2 \ j \ -1), while GPS data are best characterized by fractional Gaussian noises (-1 \ j \ 0). The estimated ratio between spectral indices of GPS and SG is stable worldwide with a global median value of about 0.5. Concerning the power-law amplitudes, these are very consistent worldwide for the GPS position time series and fluctuate around 15 mm/year -j/4 , while in the case of SG records they spread between 60 and 300 nm/ s 2 /year -j/4 . The fraction of power-law noise employed in the assumed combination is equal to 100% for almost all SG stations, while in case of GPS it varies between 26.1 and 99.9%. The main finding of this research is that the assumption of power-law noise is much more preferred for SG data than the assumption of a pure white noise being used until now.

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Section: Stochastic Partmentioning

confidence: 99%

Section: Stochastic Partmentioning

confidence: 99%

“…The site conditions at Potsdam (Germany, Neumeyer et al 2017) station made it a rather noisy site (Rosat et al 2004). The station was stopped in 1998.…”

Section: Stochastic Partmentioning

confidence: 99%

“…Vienna (Austria) station was a very good site-sensor combination in terms of noise levels (Rosat et al 2004). It was located about 800 km far from the North-Sea coast.…”

Section: Stochastic Partmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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On the noise characteristics of time series recorded with nearby located GPS receivers and superconducting gravity meters

et al. 2018

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Gravity Field, Time Variations from Surface Measurements

Tiwari¹,

Hinderer²

2020

Encyclopedia of Solid Earth Geophysics

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Earth's dynamic gravity field; Temporal variations of the Earth's gravity Definition Temporal gravity changes Variation of Earth's gravity field with time due to various tidal, oceanic, atmospheric, hydrological, glaciological, volcanic, seismic, and tectonic processes. Tidal gravity changes The periodic variation of gravity field due to the attraction of Sun and Moon. Non-tidal gravity changes Gravity changes unrelated to the attraction of Sun and Moon.

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Gravity Field, Time Variations from Surface Measurements

Tiwari

Hinderer

2021

Encyclopedia of Solid Earth Geophysics

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Performance of superconducting gravimeters from long-period seismology to tides

Cited by 67 publications

References 28 publications

On the noise characteristics of time series recorded with nearby located GPS receivers and superconducting gravity meters

On the noise characteristics of time series recorded with nearby located GPS receivers and superconducting gravity meters

Gravity Field, Time Variations from Surface Measurements

Gravity Field, Time Variations from Surface Measurements

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