Abstract
In temporal gravity variations, the variations in the atmospheric mass distribution are one of the most prominent signals next to tides. Since they superimpose the desired signals in the case of the current satellite gravity missions GRACE and GOCE, they are considered noise and removed using models. Therefore, errors in these models directly propagate to the results of the missions and may lead to misinterpretations.
Considering this background we revisit the forward modelling of atmospheric mass variations in order to derive an optimal strategy for the de-aliasing for the GOCE mission. Starting from basic principles, the parametrization and especially the radial discretization are investigated using operational data from ECMWF. The impact of model updates is discussed in a case study. Finally, a comparison with data from NCEP is used to assess the uncertainty of the mass variations derived from atmospheric models.
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References
Boy, J.-P., and B.F. Chao (2005), Precise evaluation of atmospheric loading effects on Earth’s time-variable gravity field, J. Geophys. Res., 110, B08412, doi:10.1029/2002JB002333.
Ecker E., and E. Mittermayer (1969), Gravity corrections for the influence of the atmosphere, Boll di Geofisica teor ed appl, XI(41–42), pp. 70–80.
ECMWF Research Department (2003), IFS Documentation – Part III: Dynamics and Numerical Procedures (cy28r1), www.ecmwf.int.
Flechtner, F. (2005), AOD1B product description document,in: GRACE Project Documentation, JPL 327–750, rev 2.1, JPL, Pasadena, CA.
Gill, A.E. (1982), Atmosphere – Ocean Dynamics, Academic Press, London.
Gruber, T., and T. Peters (2003), Time variable gravity field: Using future Earth observation missions for high frequency de-aliasing, in: Proc IERS Workshop on Combination Research and Global Geophysical Fluids. Richter B, Schwegmann W, Dick WR (eds.) IERS Technical Note No. 30, BKG, Frankfurt/Main, pp. 157–160.
Moritz, H. (1980), Advanced Physical Geodesy, Wichmann, Karlsruhe, pp. 422–425.
Swenson, S., and J. Wahr (2002), Estimated effects of the vertical structure of atmospheric mass on the time-variable geoid, J. Geophys. Res., 107(B9), 2194, doi:10.1029/2000JB000024.
Tapley, B.D., S. Bettadpur, J.C. Ries, P.F. Thompson, and M.M. Watkins (2004), GRACE measurements of mass variability in the Earth system, Science, 305, pp. 503–505.
Trenberth, K.E., and J.G. Olson (1988), An evaluation and intercomparison of global analyses from the National Meteorological Center and the European Centre for Medium-Range Weather Forecasts, Bull. Am. Meteor. Soc., 69, pp. 1047–1057.
Velicogna, I., J. Wahr, and H. van den Dool (2001), Can surface pressure be used to remove atmospheric contributions from GRACE data with sufficient accuracy to recover hydrological signals? J. Geophys. Res., 106, pp. 16,415–16,434.
Velicogna, I., and J. Wahr (2006), Measurements of time-variable gravity show mass loss in Antarctica, Science, 311(5768), pp. 1754–1756, doi: 10.1126/science. 1123785.
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Peters, T. (2008). Atmospheric De-Aliasing Revisited. In: Xu, P., Liu, J., Dermanis, A. (eds) VI Hotine-Marussi Symposium on Theoretical and Computational Geodesy. International Association of Geodesy Symposia, vol 132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74584-6_11
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DOI: https://doi.org/10.1007/978-3-540-74584-6_11
Publisher Name: Springer, Berlin, Heidelberg
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