Articles | Volume 9, issue 4
Research article
 | Highlight paper
28 Apr 2016
Research article | Highlight paper |  | 28 Apr 2016

Bayesian statistical ionospheric tomography improved by incorporating ionosonde measurements

Johannes Norberg, Ilkka I. Virtanen, Lassi Roininen, Juha Vierinen, Mikko Orispää, Kirsti Kauristie, and Markku S. Lehtinen

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Cited articles

Andreeva, E. S.: Radio tomographic reconstruction of ionization dip in the plasma near the Earth, J. Exp. Theor. Phys. Lett., 52, 142–148, 1990.
Austen, J. R., Franke, S. J., and Liu, C. H.: Ionospheric imaging using computerized tomography, Radio Sci., 3, 299–307, 1988.
Bilitza, D. and Reinisch, B. W.: International Reference Ionosphere 2007: improvements and a new parameters, Adv. Space Res., 42, 599–609, 2008.
Breit, G. and Tuve, M. A.: A Test of the Existence of the Conducting Layer, Phys. Rev., 28, 554–575, 1926.
Bust, G. S. and Mitchell, C. N.: History, current state, and future directions of ionospheric imaging, Rev. Geophys., 46, RG1003,, 2008.
Short summary
We validate 2-D ionospheric tomography reconstructions against EISCAT incoherent scatter radar measurements. The method is based on Bayesian statistical inversion. We employ ionosonde measurements for the choice of the prior distribution parameters and use a sparse matrix approximation for the computations. This results in a computationally efficient tomography algorithm with clear probabilistic interpretation. We find that ionosonde measurements improve the reconstruction significantly.