Sequential data assimilation with multiple nonlinear models and applications to subsurface flow

DOI10.1016/J.JCP.2017.06.026zbMath1378.93133arXiv1707.06394OpenAlexW2722446133MaRDI QIDQ1691889

Lun Yang, Peng Wang, Akil C. Narayan

Publication date: 25 January 2018

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1707.06394

zbMATH Keywords

extended Kalman filterdata assimilationparticle filterensemble Kalman filteruncertainty quantification

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Hydrology, hydrography, oceanography (86A05) Data smoothing in stochastic control theory (93E14)

Related Items (1)

Resource-Constrained Model Selection for Uncertainty Propagation and Data Assimilation

Uses Software

• VS2DT
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Cites Work

• Unnamed Item
• Generalized pseudo-Bayes estimation and detection for abruptly changing systems
• Bayesian model averaging: A tutorial. (with comments and a rejoinder).
• Sequential data assimilation with multiple models
• Stochastic processes and filtering theory
• Impact of Data Assimilation on Cost-Accuracy Tradeoff in Multifidelity Models
• CAPILLARY CONDUCTION OF LIQUIDS THROUGH POROUS MEDIUMS
• Data Assimilation

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