Abstract
We present a technique for modelling the lithospheric magnetic field based on estimation of equivalent potential field sources. As a
first demonstration we present an application to magnetic field measurements made by the CHAMP satellite during the period
2009-2010. Three component vector field data are utilized at all latitudes. Estimates of core and large-scale magnetospheric
sources are removed from the satellite measurements using the CHAOS-4 model. Quiet-time and night-side data selection criteria
are also employed to minimize the influence of the ionospheric field. The model for the remaining lithospheric magnetic field
consists of magnetic point sources (monopoles) arranged in an icosahedron grid with an increasing grid resolution towards the
airborne survey area. The corresponding source values are estimated using an iteratively reweighted least squares algorithm that
includes model regularization (either quadratic or maximum entropy) and Huber weighting. Data error covariance matrices are
implemented, accounting for the dependence of data error variances on quasi-dipole latitudes. Results show good consistency with
the CM5 and MF7 models for spherical harmonic degrees up to n = 95. Advantages of the equivalent source method include its
local nature and the ease of transforming to spherical harmonics when needed. The method can also be applied in local, high
resolution, investigations of the lithospheric magnetic field, for example where suitable aeromagnetic data is available. To illustrate
this possibility, we present preliminary results from a case study combining satellite measurements and local airborne scalar
magnetic measurements of the Norwegian coastline.
Original language | English |
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Publication date | 2014 |
Number of pages | 1 |
Publication status | Published - 2014 |
Event | 2014 AGU Fall Meeting - San Francisco, CA, United States Duration: 15 Dec 2014 → 19 Dec 2014 |
Conference
Conference | 2014 AGU Fall Meeting |
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Country/Territory | United States |
City | San Francisco, CA |
Period | 15/12/2014 → 19/12/2014 |