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| Titel |
Simulation studies on the tomographic reconstruction of the equatorial and low-latitude ionosphere in the context of the Indian tomography experiment: CRABEX |
| VerfasserIn |
S. V. Thampi, T. K. Pant, S. Ravindran, C. V. Devasia, R. Sridharan |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
0992-7689
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| Digitales Dokument |
URL |
| Erschienen |
In: Annales Geophysicae ; 22, no. 10 ; Nr. 22, no. 10 (2004-11-03), S.3445-3460 |
| Datensatznummer |
250015023
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| Publikation (Nr.) |
 copernicus.org/angeo-22-3445-2004.pdf |
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| Zusammenfassung |
| Equatorial ionosphere poses a challenge to any algorithm that is used for
tomographic reconstruction because of the phenomena like the Equatorial
Ionization Anomaly (EIA) and Equatorial Spread F (ESF). Any tomographic
reconstruction of ionospheric density distributions in the equatorial region
is not acceptable if it does not image these phenomena, which exhibit large
spatial and temporal variability, to a reasonable accuracy. The accuracy of
the reconstructed image generally depends on many factors, such as the
satellite-receiver configuration, the ray path modelling, grid intersections
and finally, the reconstruction algorithm. The present simulation study is
performed to examine these in the context of the operational Coherent Radio
Beacon Experiment (CRABEX) network just commenced in India. The feasibility
of using this network for the studies of the equatorial and low-latitude
ionosphere over Indian longitudes has been investigated through simulations.
The electron density distributions that are characteristic of EIA and ESF
are fed into various simulations and the reconstructed tomograms are
investigated in terms of their reproducing capabilities. It is seen that,
with the present receiver chain existing from 8.5° N to 34° N, it
would be possible to obtain accurate images of EIA and the plasma bubbles. The
Singular Value Decomposition (SVD) algorithm has been used for the inversion
procedure in this study. As is known, by the very nature of ionospheric
tomography experiments, the received data contain various kinds of errors,
like the measurement and discretization errors. The sensitivity of the
inversion algorithm, SVD in the present case, to these errors has also been
investigated and quantified. |
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