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FORWARD AND INVERSE MODELLING OF GPS OBSERVATIONS FROM FENNOSCANDIA G.A. Milne 1, J.X. Mitrovica 2, H.-G. Scherneck 3, J.L. Davis 4, J.M. Johansson 3,

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Presentation on theme: "FORWARD AND INVERSE MODELLING OF GPS OBSERVATIONS FROM FENNOSCANDIA G.A. Milne 1, J.X. Mitrovica 2, H.-G. Scherneck 3, J.L. Davis 4, J.M. Johansson 3,"— Presentation transcript:

1 FORWARD AND INVERSE MODELLING OF GPS OBSERVATIONS FROM FENNOSCANDIA G.A. Milne 1, J.X. Mitrovica 2, H.-G. Scherneck 3, J.L. Davis 4, J.M. Johansson 3, H. Koivula 5, M. Vermeer 6 1 Dept. of Geological Sciences, University of Durham, UK 2 Dept. of Physics, University of Toronto, Canada 3 Onsala Space Observatory, Sweden 4 Harvard-Smithsonian Center for Astrophysics, USA 5 Finish Geodetic Institute, Finland 6 Institute of Geodesy, Helsinki University of Technology, Finland

2 BASELINE INFERENCES FOR FENNOSCANDIAN REBOUND OBSERVATIONS SEA LEVEL AND TECTONICS Apply GPS to observe the present-day deformation field in Fennoscandia. Employ observations to: (1) Infer GIA model parameters. (2) Estimate secular height shift of geoid. (3) Examine importance of neotectonic processes.

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4 GIA MODEL Earth Forcing Earth Rheology Rotational potential Euler equations Surface loading Ice ICE-3G (Tushingham & Peltier, 1991) FENN+BARENTS (Lambeck et al., 1998) Ocean Sea-level equation Impulse response formalism Linear Maxwell rheology Compressible 1D structure Time-dependent ocean function Near-field water influx

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14 SUMMARY ● Forward modelling shows: (1) FENN+BARENTS ice model produces significantly better fit compared to ICE-3G. (2) Viscosity inference relatively insensitive to ice model. (3) GIA model can account for most of observed signal. ● Inverse modelling shows: (1) Depth sensitivity to viscosity is site dependent. (2) Data can resolve two-layer upper mantle structure and a lower mantle layer to a depth of ~1200 km. ● Residual signal to be explored further: (1) Neotectonics. (2) Dynamic ice models. (3) Lateral variations in earth structure.


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