Impact of Data Assimilation on Cost-Accuracy Tradeoff in Multifidelity Models

DOI10.1137/141001743zbMath1348.60102OpenAlexW1748856545MaRDI QIDQ3452531

Michael Sinsbeck, Daniel M. Tartakovsky

Publication date: 12 November 2015

Published in: SIAM/ASA Journal on Uncertainty Quantification (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1137/141001743

zbMATH Keywords

porous mediastochastic modelsdata assimilationuncertainty quantificationreduced complexity

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Hydrology, hydrography, oceanography (86A05) Flows in porous media; filtration; seepage (76S05) Applications of stochastic analysis (to PDEs, etc.) (60H30) Applications of statistics to physics (62P35) PDEs in connection with geophysics (35Q86)

Related Items

Sequential data assimilation with multiple nonlinear models and applications to subsurface flow ⋮ Resource-Constrained Model Selection for Uncertainty Propagation and Data Assimilation

Uses Software

• EMD

Cites Work

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