Abstract
Atmospheric pressure fluctuations are a major source of noise in precise gravimetric measurements and must be corrected carefully. A big portion of this effect can be eliminated using the local air pressure and a single admittance factor, which reduces up to 90–95 % of the atmospheric signal. However, modern superconducting gravimeters require an even better atmospheric correction if small signals are to be identified. For this task the three-dimensional modeling of atmospheric mass attraction based on operational numerical weather models has shown promising results. Similar strategies are realized and applied successfully for de-aliasing measurements of satellite gravity missions, such as GRACE (Gravity Recovery and Climate Experiment). In this study we show that such models, here called AGC (Atmospheric Gravity Coefficients), can also be used to correct atmospheric effects on superconducting gravimeter (SG). The Conrad Observatory near Vienna and the SG in Membach are taken as example stations for the SG corrections. The resulting residuals using AGC are in both cases smaller than the traditional single admittance or Green’s function approach and the performance can also be compared to the more sophisticated model used by ATMACS (Atmospheric Attraction Computation Service).
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Acknowledgements
We would like to thank the Austrian Science Fund (FWF), which supports project GGOS Atmosphere (P20902), and the ECMWF for providing the meteorological data.
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Karbon, M., Böhm, J., Meurers, B., Schuh, H. (2014). Atmospheric Corrections for Superconducting Gravimeters Using Operational Weather Models. In: Rizos, C., Willis, P. (eds) Earth on the Edge: Science for a Sustainable Planet. International Association of Geodesy Symposia, vol 139. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37222-3_56
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