Parallel implementation of data assimilation

Summary Kalman filter is a sequential estimation scheme that combines predicted and observed data to reduce the uncertainty of the next prediction. Because of its sequential nature, the algorithm cannot be efficiently implemented on modern parallel compute hardware nor can it be practically implemen...

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Veröffentlicht in:	International journal for numerical methods in fluids 2017-03, Vol.83 (7), p.606-622
Hauptverfasser:	Bibov, Alexander, Haario, Heikki
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Data assimilation Dynamical systems error estimation extended Kalman filter Filtering Filtration Kalman filters Mathematical analysis parallelization Predictions probabilistic method stabilized method
Online-Zugang:	Volltext
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