Augmenting covariance estimation for ensemble-based data assimilation in multiple-query scenarios

DOI10.1080/13647830.2022.2105259OpenAlexW4289342551MaRDI QIDQ5872060

Andrew F. Ilersich, Joseph C. Oefelein, Masayuki Yano, Adam Steinberg, Kyle A. Schau

Publication date: 26 January 2023

Published in: Combustion Theory and Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/13647830.2022.2105259

zbMATH Keywords

reacting flowdata assimilationensemble Kalman filterdata-driven modellingmultiple-query scenario

Mathematics Subject Classification ID

Fluid mechanics (76-XX) Thermodynamics and heat transfer (80Axx)

Uses Software

• EnKF

Cites Work

• Nonlinear analysis of hydrodynamic instability in laminar flames—I. Derivation of basic equations
• On Flame Propagation Under Conditions of Stoichiometry
• Experimental data-based reduced-order model for analysis and prediction of flame transition in gas turbine combustors
• Data Assimilation
• The ensemble Kalman filter for combined state and parameter estimation

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