Comparison of different barometric pressure reductions for gravity data and resulting consequences

Physics

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Scientific paper

Different methods of barometric pressure reductions are applied on data recorded with the superconducting gravimeter at Potsdam, Germany. The results are compared regarding their success in removing barometric pressure effects in different frequency ranges. Among the corrections, pure regression methods are used as well as a combination of a physical correction using atmospheric Green's functions [Merriam, J.B., 1992. Atmospheric pressure and gravity. Geophys. J. Int. 109, 488-500 Merriam, J.B., 1995. The atmospheric pressure correction in gravity at Cantley Quebec. In: Hsu, H.T. (Ed.), Proceedings of the 12th International Symposium on Earth Tides. Science Press, Beijing, pp. 161-168 Sun, H.-P., 1995. Static deformation and gravity changes at the earth's surface due to the atmospheric pressure. PhD Thesis, Cath. Univ. Louvain, Belgium] and a local reduction coefficient. This combination is required due to the lack of a sufficient number of local barometric pressure data sets. After applying the physical correction on the gravity data, the local coefficient is determined in two ways: as a fit between station pressure and the partly pressure corrected gravity and as a theoretical value calculated with atmospheric Green's functions and station pressure. The efficiency of the corrections is compared by the results of tidal and spectral analyses as well as coherences between corrected, detided gravity and barometric pressure. In comparison to the standard correction with one regression coefficient, we get similar or slightly improved corrections (depending on the frequency) when applying a frequency-dependent admittance or a correction including atmospheric Green's functions. In general, we find no or only small differences in the corrections that emerge for short periods (periods<=2 days) and bigger changes in the long-periodic range (periods>2 days). We attribute the lacking improvement in the short periods to the partly too low sampling rate of the pressure data and the necessity to have more pressure data sets from the local area around the gravimeter available. Our studies of lateral pressure variations occurring in the local zone indicate a significant lateral pressure variability. A model calculation regarding the influence of these deviations on the pressure reduction yields the necessity of a better consideration of them in the correction. We conclude that one step towards an improved reduction of barometric pressure effects is to redo corrections that include atmospheric Green's functions in combination with regional hourly pressure data as well as data from a local pressure network surrounding the gravimeter location.

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