Skip to main content
Log in

Wavelet Decomposition of Spherical Vector Fields with Respect to Sources

  • Published:
Journal of Fourier Analysis and Applications Aims and scope Submit manuscript

Abstract

This article is concerned with an approach of modelling the Earth’s magnetic field as measured by satellites in terms of a special system of vector spherical harmonics and in terms of vector kernel functions, called vector scaling functions and wavelets. The main ingredient is the presentation of a system of vector spherical harmonics which separates a given spherical vector field with respect to its sources, i.e., the spherical vector field is separated into a part which is induced by sources inside the sphere, a part which is induced by sources outside the sphere and a part which is induced by sources on the sphere, which are, for example, currents crossing the sphere. Using this special system of vector spherical harmonics vector scaling functions and wavelets are constructed which keep the advantageous property of separating with respect to sources but which also allow a locally reflected modelling of the respective vector field. At the end of the article, the method is tested on real magnetic field data measured by the German geoscientific research satellite CHAMP.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Carsten Mayer.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Mayer, C. Wavelet Decomposition of Spherical Vector Fields with Respect to Sources. J Fourier Anal Appl 12, 345–369 (2006). https://doi.org/10.1007/s00041-005-5007-8

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00041-005-5007-8

Keywords

Navigation