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https://doi.org/10.5194/angeo-2020-39
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/angeo-2020-39
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: regular paper 23 Jun 2020

Submitted as: regular paper | 23 Jun 2020

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This preprint is currently under review for the journal ANGEO.

Analyses of different propagation models for the estimation of the topside ionosphere and plasmasphere with an Ensemble Kalman Filter

Tatjana Gerzen1, David Minkwitz2, Michael Schmidt1, and Eren Erdogan1 Tatjana Gerzen et al.
  • 1Technical University Munich (TUM), Deutsches Geodätisches Forschungsinstitut (DGFI), Arcisstr. 21, Munich, Germany
  • 2Airbus Defence and Space, Robert-Koch-Str. 1, Taufkirchen, Germany

Abstract. The accuracy and availability of satellite-based applications like GNSS positioning and remote sensing crucially depends on the knowledge of the ionospheric electron density distribution. The tomography of the ionosphere is one of the major tools to provide link specific ionospheric corrections as well as to study and monitor physical processes in the ionosphere and plasmasphere. In this work, we apply an Ensemble Kalman Filter (EnKF) approach for the 4D electron density reconstruction of the topside ionosphere and plasmasphere with the focus on the investigation of different propagation models and compare them with the iterative reconstruction technique SMART+. The STEC measurements of eleven LEO satellites are assimilated into the reconstructions. We conduct a case study on a global grid with altitudes between 430 and 20200 km, for two periods of the year 2015 covering quiet to perturbed ionospheric conditions. Particularly, the performance of the methods to estimate independent STEC and electron density measurements from the three Swarm satellites is analysed. The results indicate that the methods EnKF with Exponential decay as the propagation model and SMART+ perform best, providing in summary the lowest residuals.

Tatjana Gerzen et al.

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Tatjana Gerzen et al.

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Short summary
We concentrate on the reconstruction of the topside ionosphere and plasmasphere and assimilate the space-based GNSS STEC measurements by application of an Ensemble Kalman Filter approach. We present different methods, how the propagation step can be realized without usage of a physical model. We investigating the capability of our estimations to reconstruct independent STEC and electron density measurements. Further, we compare the EnKF approach with SMART+ and the 3D ionosphere model NeQuick.
We concentrate on the reconstruction of the topside ionosphere and plasmasphere and assimilate...
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