Application of generalized singular value decomposition to ionospheric tomography
The electron density distribution of the low- and mid-latitude ionosphere has been investigated by the computerized tomography technique using a Generalized Singular Value Decomposition (GSVD) based algorithm. Model ionospheric total electron content (TEC) data obtained from the International Re...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2004-11-01
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| Series: | Annales Geophysicae |
| Online Access: | https://www.ann-geophys.net/22/3437/2004/angeo-22-3437-2004.pdf |
| Summary: | The electron density distribution of the low- and mid-latitude ionosphere has
been investigated by the computerized tomography technique using a
Generalized Singular Value Decomposition (GSVD) based algorithm. Model
ionospheric total electron content (TEC) data obtained from the
International Reference Ionosphere 2001 and slant relative TEC data measured
at a chain of three stations receiving transit satellite transmissions in
Alaska, USA are used in this analysis. The issue of optimum efficiency of
the GSVD algorithm in the reconstruction of ionospheric structures is being
addressed through simulation of the equatorial ionization anomaly (EIA), in
addition to its application to investigate complicated ionospheric density
irregularities. Results show that the Generalized Cross Validation approach
to find the regularization parameter and the corresponding solution
gives a very good reconstructed image of the low-latitude ionosphere and the
EIA within it. Provided that some minimum norm is fulfilled, the GSVD solution is
found to be least affected by considerations, such as pixel size and number
of ray paths. The method has also been used to investigate the behaviour of
the mid-latitude ionosphere under magnetically quiet and disturbed
conditions. |
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| ISSN: | 0992-7689 1432-0576 |