Localised sequential state estimation for advection dominated flows with non-Gaussian uncertainty description

•A new iterative state estimation algorithm for advection dominated flows with non-Gaussian uncertainty description of L∞-type.•The algorithm approximates this L∞-type bounding set by a union of possibly overlapping localized (in space) ellipsoids.•The resulting local state estimates are stitched to...

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Veröffentlicht in:	Journal of computational physics 2019-06, Vol.387, p.356-375
Hauptverfasser:	Ragnoli, Emanuele, Zayats, Mykhaylo, O'Donncha, Fearghal, Zhuk, Sergiy
Format:	Artikel
Sprache:	eng
Schlagworte:	Advection Advection dominated flows Algorithms Computational physics Data assimilation Domain decomposition Domains Ellipsoids Filtering Iterative methods Minimax Minimax technique State estimation Uncertainty
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