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Localized data assimilation in the ionosphere-thermosphere using a sampled-data unscented Kalman filter | IEEE Conference Publication | IEEE Xplore

Localized data assimilation in the ionosphere-thermosphere using a sampled-data unscented Kalman filter


Abstract:

We apply the unscented Kalman filter (UKF) to data assimilation based on the vertical one-dimensional global ionosphere-thermosphere model, which models the highly couple...Show More

Abstract:

We apply the unscented Kalman filter (UKF) to data assimilation based on the vertical one-dimensional global ionosphere-thermosphere model, which models the highly coupled, strongly nonlinear Earth's upper atmosphere. To reduce the computational complexity of UKF, we introduce a localized, sampled-data update scheme with frozen-intersample error covariance, and examine its performance through numerical simulation.
Date of Conference: 11-13 June 2008
Date Added to IEEE Xplore: 05 August 2008
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Conference Location: Seattle, WA, USA

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