A PIM-aided Kalman Filter for GPS Tomography of the Ionospheric Electron Content
Geophysics
2009-10-31 v1 Atmospheric and Oceanic Physics
Abstract
We develop the formalism for a PIM-based functional for stochastic tomography with a Kalman filter, in which the inversion problem associated with four-dimensional ionospheric stochastic tomography is regularized. For consistency, GPS data is used to select dynamically the best PIM parameters, in a 3DVAR fashion. We demonstrate the ingestion of GPS (IGS and GPS/MET) data into a parameterized ionospheric model, used to select the set of parameters that minimize a suitable cost functional. The resulting PIM-fitted model is compared to direct 3D voxel tomography. We demonstrate the value of this method analyzing IGS and GPS/MET GPS data, and present our results in terms of a 4D model of the ionospheric electronic density.
Cite
@article{arxiv.physics/9807026,
title = {A PIM-aided Kalman Filter for GPS Tomography of the Ionospheric Electron Content},
author = {Giulio Ruffini and Lidia Cucurull and Alex Flores and Antonio Rius},
journal= {arXiv preprint arXiv:physics/9807026},
year = {2009}
}
Comments
8 pages, 2 figures