Correcting superconducting gravity time-series using rainfall modelling at the Vienna and Membach stations and application to Earth tide analysis
- Author(s)
- Bruno Meurers, Michel van Camp, T Petermans
- Abstract
We demonstrate the possibility to improve the signal-to-noise ratio of superconducting gravity time-series by correcting for local hydrological effects. Short-term atmospheric events associated with heavy rain induce step-like gravity signals that deteriorate the frequency spectrum estimates. Based on 4D modeling constrained by high temporal resolution rain gauge data, rainfall admittances for the Vienna and Membach superconducting gravity stations are calculated. This allows routine correction for Newtonian rain water effects, which reduces the standard deviation of residuals after tidal parameter adjustment by 10%. It also improves the correction of steps of instrumental origin when they coincide with step-like water mass signals.
- Organisation(s)
- Department of Meteorology and Geophysics
- External organisation(s)
- Royal Observatory of Belgium
- Journal
- Journal of Geodesy
- Volume
- 81
- Pages
- 703-712
- No. of pages
- 10
- ISSN
- 0949-7714
- Publication date
- 2007
- Peer reviewed
- Yes
- Austrian Fields of Science 2012
- 105102 General geophysics
- Portal url
- https://ucrisportal.univie.ac.at/en/publications/56f83f57-83b1-4ab4-9523-f0192f347124