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Space Sci Rev DOI 10.1007/s11214-010-9669-4
 

Summary: Space Sci Rev
DOI 10.1007/s11214-010-9669-4
An Introduction to Data Assimilation and Predictability
in Geomagnetism
Alexandre Fournier Gauthier Hulot
Dominique Jault Weijia Kuang Andrew Tangborn
Nicolas Gillet Elisabeth Canet Julien Aubert
Florian Lhuillier
Received: 14 January 2010 / Accepted: 18 June 2010
Springer Science+Business Media B.V. 2010
Abstract Data assimilation in geomagnetism designates the set of inverse methods for ge-
omagnetic data analysis which rely on an underlying prognostic numerical model of core
dynamics. Within that framework, the time-dependency of the magnetohydrodynamic state
of the core need no longer be parameterized: The model trajectory (and the secular variation
it generates at the surface of the Earth) is controlled by the initial condition, and possibly
some other static control parameters. The primary goal of geomagnetic data assimilation is
then to combine in an optimal fashion the information contained in the database of geomag-
netic observations and in the dynamical model, by adjusting the model trajectory in order to
provide an adequate fit to the data.
A. Fournier ( ) G. Hulot

  

Source: Aubert, Julien - Institut de Physique du Globe de Paris

 

Collections: Geosciences