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Open AccessJournal ArticleDOI

Geomagnetic field analysis—III. Magnetic fields on the core—mantle boundary

David Gubbins, +1 more
- 01 Mar 1985 - 
- Vol. 80, Iss: 3, pp 695-713
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TLDR
In this paper, the stochastic inversion method was applied to the main field data for the first time to obtain a finite lower bound on the Ohmic heating in the core, which provides strong prior information and gives finite error estimates at the core.
Abstract
Summary. The method of stochastic inversion, previously applied to secular variation data, is applied to main field data. Adaptations to the method are required: non-linear, as well as linear, data are used; allowance is made for crustal components in the observatory data; and the prior information is specified differently. The requirement that the models should satisfy a finite lower bound on the Ohmic heating in the core provides strong prior information and gives finite error estimates at the core—mantle boundary. The new method is applied to data from the epochs 1969.5 and 1980.0. The resulting field models are very much more complex than other models, such as the IGRF models extrapolated to the core, and show considerable small-scale detail which, on the basis of the error analysis, can be believed. The flux integral over the northern hemisphere is computed at each epoch; the difference between the two epochs is approximately one standard deviation, suggesting that the question as to whether the decay of the dipole is consistent with the frozen-flux hypothesis has been resolved in favour of the hypothesis.

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Journal ArticleDOI

Four centuries of geomagnetic secular variation from historical records

TL;DR: In this article, the authors present a new model of the magnetic › eld at the core{mantle boundary for the interval 1590{1990] to 1990, called gufm1, which is based on a massive new compilation of historical observations.
Journal ArticleDOI

The secular variation of Earth's magnetic field

TL;DR: In this paper, a model of the magnetic field at the core-mantle boundary at selected epochs from 1715.0 to 1980.0 reveal novel features in the field at core.
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

Time-dependent mapping of the magnetic field at the core-mantle boundary

TL;DR: In this paper, the problem of constructing a time-dependent map of the magnetic field at the core-mantle boundary was considered and the smoothest solution compatible with the observations was proposed.
Journal ArticleDOI

Numerical modelling of the geodynamo: a systematic parameter study

TL;DR: In this article, the authors analyse 50 3D numerical calculations of hydrodynamic dynamos driven by convection in a spherical shell, with rigid and stress-free boundaries, with Prandtl number 1, magnetic Prandttl numbers in the range 0.5-5, Ekman numbers E=10− 3−10−4 and Rayleigh numbers to 15 times critical.
References
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Book

Optimization by Vector Space Methods

TL;DR: This book shows engineers how to use optimization theory to solve complex problems with a minimum of mathematics and unifies the large field of optimization with a few geometric principles.
Book

Bayesian inference in statistical analysis

TL;DR: In this article, the effect of non-normality on inference about a population mean with generalizations was investigated. But the authors focused on the effect on the mean with information from more than one source.
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Generalized Nonlinear Inverse Problems Solved Using the Least Squares Criterion

TL;DR: In this article, a general definition of the nonlinear least squares inverse problem is given, where the form of the theoretical relationship between data and unknowns may be general (in particular, nonlinear integrodierentia l equations).
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The use of a priori data to resolve non‐uniqueness in linear inversion

TL;DR: In this article, the authors developed methods for exploring the resolving power of the least squares method for solving geophysical inverse problems, and applied it to synthetic data for the inverse geophysical edge effect problem.
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