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Volume 4, issue 1
Solid Earth, 4, 105–118, 2013
https://doi.org/10.5194/se-4-105-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
Solid Earth, 4, 105–118, 2013
https://doi.org/10.5194/se-4-105-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.

Method article 07 Mar 2013

Method article | 07 Mar 2013

Post-processing scheme for modelling the lithospheric magnetic field

V. Lesur1, M. Rother1, F. Vervelidou2, M. Hamoudi3, and E. Thébault2 V. Lesur et al.
  • 1Helmholtz Centre Potsdam, GFZ German Research centre for Geosciences, Telegrafenberg 14473, Germany
  • 2Institut de Physique du Globe de Paris, Sorbonne Paris Cité, Univ. Paris Diderot, UMR7154 CNRS, 75005 Paris, France
  • 3Université des sciences et de la technologie, 16111 Bab Ezzouar, El-Alia Alger, Algeria

Abstract. We investigated how the noise in satellite magnetic data affects magnetic lithospheric field models derived from these data in the special case where this noise is correlated along satellite orbit tracks. For this we describe the satellite data noise as a perturbation magnetic field scaled independently for each orbit, where the scaling factor is a random variable, normally distributed with zero mean. Under this assumption, we have been able to derive a model for errors in lithospheric models generated by the correlated satellite data noise. Unless the perturbation field is known, estimating the noise in the lithospheric field model is a non-linear inverse problem. We therefore proposed an iterative post-processing technique to estimate both the lithospheric field model and its associated noise model. The technique has been successfully applied to derive a lithospheric field model from CHAMP satellite data up to spherical harmonic degree 120. The model is in agreement with other existing models. The technique can, in principle, be extended to all sorts of potential field data with "along-track" correlated errors.

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