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Conference Paper

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Proceedings of the Ionospheric Effects Symposium


J.M. Goodman


JMG Associates, Ltd.

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Physics-based data assimilation models of the ionosphere were developed at Utah State University as part of a DoD Multidisciplinary University Research Initiative (MURI) program. The USU effort was called Global Assimilation of Ionospheric Measurements (GAIM). One of the USU Data assimilation models has been selected for operational use at the Air Force Weather Agency (AFWA in Omaha, Nebraska. This model is a Gauss-Markov Kalman Filter model, and it uses a physic-based model of the global ionosphere and a Kalman filter as a basis for assimilating a diverse set of real-time (or near real-time) measurements. The model has been designed to be modular and flexible. It can assimilate four different data types from an arbitrary number of stations. Quality control algorithms are an integral part of the model and latent data of up to three hours can be taken into account. The Gauss-Markov modell can also be applied to just a region (e.g., North America or Europe) with a simple change to the setup file. The configuration of the model and its current status are presented.


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