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Data Assimilation Using the Global Ionosphere-Thermosphere Model

  • I. S. Kim
  • J. Chandrasekar
  • A. Ridley
  • D. S. Bernstein
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3993)

Abstract

We consider a data assimilation technique for coupled ionospheric and thermospheric dynamics. The Global Ionosphere-Thermo-sphere Model (GITM) is used to simulate the ionospheric and thermospheric dynamics, and evaluate the performance of the data assimilation scheme that estimates the ion densities and flow speeds. This estimation technique is based on the state dependent Riccati equation (SDRE), which uses a frozen linear dynamics matrix for the time update of the error covariance and the evaluation of the Kalman filter gain. We demonstrate the performance of the data assimilation technique on a section of the ionosphere.

Keywords

Data Assimilation Space Weather Data Assimilation Technique Data Assimilation Scheme Solar Storm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • I. S. Kim
    • 1
  • J. Chandrasekar
    • 1
  • A. Ridley
    • 2
  • D. S. Bernstein
    • 1
  1. 1.Department of Aerospace EngineeringUniversity of MichiganAnn Arbor
  2. 2.Department of Atmospheric, Oceanic and Space SciencesUniversity of MichiganAnn Arbor

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