http://www-personal.umich.edu/~dsbaero/library/ConferencePapers/ACC2008/GITMUKF.pdf">
 

Title

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

Document Type

Conference Proceeding

Publication Date

2008

Department/School

Physics and Astronomy

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.