Early access: Ionospheric tomography paper

The early-access version of the paper:

J. Norberg, L. Roininen, J. Vierinen, O. Amm, D. McKay-Bukowski and M. Lehtinen, Ionospheric tomography in Bayesian framework with Gaussian Markov random field priors, Radio Science (2015) DOI: 10.1002/2014RS005431

is available here: http://onlinelibrary.wiley.com/enhanced/doi/10.1002/2014RS005431/.


Here is the abstract:

We present a novel ionospheric tomography reconstruction method. The method is based on Bayesian inference with the use of Gaussian Markov random field priors. We construct the priors as a system of stochastic partial differential equations. Numerical approximations of these equations can be represented with linear systems with sparse matrices, therefore providing computational efficiency. The method enables an interpretable scheme to build the prior distribution based on physical and empirical information on the structure of the ionosphere. We show through synthetic test cases in a two-dimensional setup of latitude-altitude slices how this method can be applied to satellite-based ionospheric tomography and how information about the structure of the ionosphere can be implemented in the prior. The technique is capable of being easily extended to multi-frequency tomographic analysis, or used for the inclusion of other data sets of ionospheric electron density, such as ground-based observations by radars or ionosondes.

Applied Inverse Problems 2015

A major inverse problems conference, Applied Inverse Problems, will be organised in Helsinki, Finland, May 25-29, 2015. The event website is at http://aip2015.fips.fi. Important dates are:

• Mini-symposium Proposal Deadline: September 30, 2014

• Poster, Contributed Talk, and Minisymposium Talk Abstract Deadline: November 30, 2014

• Calderon Prize Nomination Deadline: January 31, 2015

• Early Bird Registration Deadline: February 11, 2015