Data assimilation for magnetohydrodynamics with a zero-divergence constraint on the magnetic field | IEEE Conference Publication | IEEE Xplore

Data assimilation for magnetohydrodynamics with a zero-divergence constraint on the magnetic field


Abstract:

We address the problem of enforcing the zero- divergence constraint in data assimilation for two-dimensional magnetohydrodynamic flow. Using a finite-volume computational...Show More

Abstract:

We address the problem of enforcing the zero- divergence constraint in data assimilation for two-dimensional magnetohydrodynamic flow. Using a finite-volume computational model, we compare the performance of the localized unscented Kalman filter with the localized equality-constrained unscented and projected localized unscented Kalman filters, which enforce the zero-divergence constraint.
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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