Articles | Volume 38, issue 6
Regular paper
10 Nov 2020
Regular paper |  | 10 Nov 2020

Analysis of different propagation models for the estimation of the topside ionosphere and plasmasphere with an ensemble Kalman filter

Tatjana Gerzen, David Minkwitz, Michael Schmidt, and Eren Erdogan

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Subject: Earth's ionosphere & aeronomy | Keywords: Modelling and forecasting
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Cited articles

Angling, M. J.: First assimilation of COSMIC radio occultation data into the Electron Density Assimilative Model (EDAM), Ann. Geophys., 26, 353–359, 2008. 
Angling, M. J. and Cannon, P. S.: Assimilation of radio occultation measurements into background ionospheric models, Radio Sci., 39, RS1S08,, 2004. 
Banville, S.: Improved convergence for GNSS precise point positioning, Ph.D. dissertation, Department of Geodesy and Geomatics Engineering, Technical Report No. 294, University of New Brunswick, Fredericton, New Brunswick, Canada, available at: (last access: 2 November 2020) 2014. 
Bidaine B. and R. Warnant: Assessment of the NeQuick model at mid-latitudes using GNSS TEC and ionosonde data, Adv. Space Res., 45, 1122–1128, 2010. 
Bilitza, D., McKinnell, L.-A., Reinisch, B., and Fuller-Rowell, T.: The International Reference Ionosphere (IRI) today and in the future, J. Geodesy, 85, 909–920,, 2011. 
Short summary
We focus on reconstructing the topside ionosphere and plasmasphere and assimilating the space-based Global Navigation Satellite System slant total electron content (STEC) measurements with an ensemble Kalman filter (EnKF). We present methods for realizing the propagation step without a physical model. We investigate the capability of our estimations to reconstruct independent STEC and electron density measurements. We compare the EnKF approach with SMART+ and the 3D ionosphere model NeQuick.