scispace - formally typeset
Open AccessJournal ArticleDOI

A model of the geomagnetic field and its secular variation for epoch 2000 estimated from Ørsted data

Nils Olsen
- 01 May 2002 - 
- Vol. 149, Iss: 2, pp 454-462
TLDR
In this paper, the authors derived a spherical harmonic model of the main field (up to degree/order 29) and the secular variation of the magnetic field from Orsted data spanning more than two years (1999 March-2001 September).
Abstract
Summary The availability of high-precision geomagnetic measurements from satellites such as Orsted and CHAMP opens a new era in geomagnetic field research. However, in order to take full advantage of the improved data accuracy it is necessary to refine the usual way of deriving field models from satellite data. This paper describes the derivation of a spherical harmonic model of the main field (up to degree/order 29) and of the secular variation (up to degree/order 13) using Orsted data spanning more than 2 yr (1999 March–2001 September) and applying new modelling approaches for a correct statistical treatment of the data errors and for considering external field contributions. Magnetospheric contributions are modelled up to degree/order two; the zonal terms vary with annual and semi-annual periodicity, and terms with degree n= 1 are modulated with the strength of the magnetospheric ring current as measured simultaneously by globally distributed geomagnetic observatories. In addition, the observatory data are used to constrain secular variation. The model is estimated using an iteratively reweighted least-squares method with Huber weights to account for the non-Gaussian data error distribution. The rms misfit achieved at non-polar latitudes is 3 nT for the scalar intensity and for one of the vector components perpendicular to the magnetic field; the third vector component (rms misfit of 6.4 nT owing to attitude noise) is downweighted when estimating the model. Comparing model predictions with actual scalar magnetic field observations from the CHAMP satellite yields an rms misfit of 3.4 nT at non-polar latitudes and 5.4 nT at polar latitudes.

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

Extending comprehensive models of the Earth's magnetic field with Ørsted and CHAMP data

TL;DR: In this article, a new model of the near-Earth magnetic field has been derived using a comprehensive approach, which includes not only POGO and Magsat satellite data, but also data from the Orsted and CHAMP satellites.
Journal ArticleDOI

CHAOS—a model of the Earth's magnetic field derived from CHAMP, Ørsted, and SAC‐C magnetic satellite data

TL;DR: In this paper, the authors derived a model of the near-Earth magnetic field (up to spherical harmonic degree n = 50 for the static field, and up to n = 18 for the first time derivative) using more than 6.5 yr of high-precision geomagnetic measurements from the three satellites Orsted, CHAMP and SAC-C taken between 1999 March and 2005 December.
Book ChapterDOI

Numerical Dynamo Simulations

TL;DR: In this article, numerical simulations of the geodynamo that solve the fundamental equations of convection-driven flow and magnetic induction in a rotating spherical shell successfully reproduce many observed features of geomagnetic field.
Journal ArticleDOI

The CHAOS-7 geomagnetic field model and observed changes in the South Atlantic Anomaly

TL;DR: The CHAOS-7 model as mentioned in this paper is based on magnetic field observations collected by the low-Earth orbit satellites Swarm, CryoSat-2, CHAMP, SAC-C and Orsted, and on annual differences of monthly means of ground observatory measurements.
References
More filters
Journal ArticleDOI

Robust Estimation of a Location Parameter

TL;DR: In this article, a new approach toward a theory of robust estimation is presented, which treats in detail the asymptotic theory of estimating a location parameter for contaminated normal distributions, and exhibits estimators that are asyptotically most robust (in a sense to be specified) among all translation invariant estimators.
Book

Inverse Problem Theory: Methods for Data Fitting and Model Parameter Estimation

TL;DR: In this paper, the least-squares (l 2 -norm) and the Minimax (l #-norm) Criterion are introduced. But they do not cover the general discrete inverse problem.
Journal ArticleDOI

Geomagnetic Secular Variation

TL;DR: In this paper, the authors analyse over 175,000 magnetic observations from an interval spanning 1695-1980 to produce a sequence of maps of the magnetic field at the core-mantle boundary; they find that even the earlier data enable them to determine reliable maps.
Journal ArticleDOI

Non-linear inversion using general measures of data misfit and model structure

TL;DR: In this paper, the authors investigate the use of general, non-l2 measures of data misfit and model structure in the solution of the non-linear inverse problem and present two possibilities.
Related Papers (5)