2019
DOI: 10.1029/2018jb016682
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Resolving Geophysical Signals by Terrestrial Gravimetry: A Time Domain Assessment of the Correction‐Induced Uncertainty

Abstract: Terrestrial gravimetry is increasingly used to monitor mass transport processes in geophysics boosted by the ongoing technological development of instruments. Resolving a particular phenomenon of interest, however, requires a set of gravity corrections of which the uncertainties have not been addressed up to now. In this study, we quantify the time domain uncertainty of tide, global atmospheric, large‐scale hydrological, and nontidal ocean loading corrections. The uncertainty is assessed by comparing the major… Show more

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Cited by 16 publications
(13 citation statements)
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“…Typically, the gravity residuals of SGs in Central Europe show seasonal variations of around 100 nm/s² range(Abe et al, 2012). However, it should also be noted that the gravity residuals also include uncertainties in the model-based signal separation, which are typically at the level of a few nm/s² root-mean-square error(Mikolaj et al, 2019). In addition, non-hydrological signals from alpine geological mass redistributions are also included in the gravity residuals.…”
mentioning
confidence: 99%
“…Typically, the gravity residuals of SGs in Central Europe show seasonal variations of around 100 nm/s² range(Abe et al, 2012). However, it should also be noted that the gravity residuals also include uncertainties in the model-based signal separation, which are typically at the level of a few nm/s² root-mean-square error(Mikolaj et al, 2019). In addition, non-hydrological signals from alpine geological mass redistributions are also included in the gravity residuals.…”
mentioning
confidence: 99%
“…The median standard deviation of this series results in 2.1 and 1.6 nm.s −2 for the GG and SG, respectively. The 2σ threshold (4.2 and 3.2 nm.s −2 for the GG and SG, respectively) provides a reasonable empiric estimation based on observed noise for characterizing flash flood events at the RCL site, as investigated in Mikolaj et al (2019).…”
Section: Water Resources Researchmentioning
confidence: 82%
“…The residuals reduced for the large-scale gravity effects using all other model combinations are shown in grey (105 combinations in total). The uncertainty of large-scale gravity corrections as modelled in this study is discussed in Mikolaj et al (2019).…”
Section: Large-scale Modelmentioning
confidence: 95%