A PIM-aided Kalman Filter for GPS Tomography of the Ionospheric Electron Content

Details A PIM-aided Kalman Filter for GPS Tomography of the Ionospheric Electron Content A PIM-aided Kalman Filter for GPS Tomography of the Ionospheric Electron Content

1998-07-17

arxiv.org/abs/physics/9807026v1

Physics

Geophysics

8 pages, 2 figures

Scientific paper

10.1016/S1464-1917(99)00013-6

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.

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