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Showing papers by "Arthur D. Richmond published in 1984"


Journal Article
TL;DR: In this article, a technique is developed for mapping magnetic variation fields in 3D using data from an array of magnetometers, based on the theory of optimal linear estimation, which is applied to data from the Scandinavian Magnetometer Array.
Abstract: A technique is developed for mapping magnetic variation fields in three dimensions using data from an array of magnetometers, based on the theory of optimal linear estimation The technique is applied to data from the Scandinavian Magnetometer Array Estimates of the spatial power spectra for the internal and external magnetic variations are derived, which in turn provide estimates of the spatial autocorrelation functions of the three magnetic variation components Statistical errors involved in mapping the external and internal fields are quantified and displayed over the mapping region Examples of field mapping and of separation into external and internal components are presented A comparison between the three-dimensional field separation and a two-dimensional separation from a single chain of stations shows that significant differences can arise in the inferred internal component

31 citations


Book ChapterDOI
01 Jan 1984
TL;DR: In this paper, a review of the recent advances in numerical algorithms for estimating ionospheric electric fields and currents from ground-based magnetometer data are reviewed and evaluated, and some encouraging advances in producing realistic conductivity models are pointed out.
Abstract: Recent advances in numerical algorithms for estimating ionospheric electric fields and currents from groundbased magnetometer data are reviewed and evaluated. Tests of the adequacy of one such algorithm in reproducing large-scale patterns of electrodynamic parameters in the high-latitude ionosphere have yielded generally positive results, at least for some simple cases. Some encouraging advances in producing realistic conductivity models, which are a critical input, are pointed out. When the algorithms are applied to extensive data sets, such as the ones from meridian chain magnetometer networks during the IMS, together with refined conductivity models, unique information on instantaneous electric field and current patterns can be obtained. Examples of electric potentials, ionospheric currents, field-aligned currents, and Joule heating distributions derived from ground magnetic data are presented. Possible directions for future improvements are also pointed out.

10 citations