Data assimilation of ground GPG total electron content into a physics-based ionosheric model by use of the Kalman filter

Hajj, G. A.; Wilson, B. D.; Wang, C.; Pi, X.; Rosen, I. G.

NASA NTRS · 20060040134

Data assimilation of ground GPG total electron content into a physics-based ionosheric model by use of the Kalman filter

Hajj, G. A.·Wilson, B. D.·Wang, C.·Pi, X.·Rosen, I. G.

Abstract

A three-dimensional (3-D) Global Assimilative Ionospheric Model (GAIM) is currently being developed by a joint University of Southern California and Jet Propulsion Laboratory (JPL) team. To estimate the electron density on a global grid, GAIM uses a first-principles ionospheric physics model and the Kalman filter as one of its possible estimation techniques.

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ionosphere forecast data assimilation Kalman filter

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BibTeX RIS

Hajj, G. A., Wilson, B. D., Wang, C., Pi, X., Rosen, I. G.. 2004-02-01. Data assimilation of ground GPG total electron content into a physics-based ionosheric model by use of the Kalman filter. https://ntrs.nasa.gov/citations/20060040134

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