Real-time thermoacoustic data assimilation
Work
Year: 2022
Type: article
Abstract: Low-order thermoacoustic models are qualitatively correct, but typically, they are quantitatively inaccurate. We propose a time-domain bias-aware method to make qualitatively low-order models quantita... more
Source: Journal of Fluid Mechanics
Authors Andrea Nóvoa, Luca Magri
Institutions University of Cambridge, Turing Institute, The Alan Turing Institute, Imperial College London, Institute for Advanced Study
Cites: 90
Cited by: 14
Related to: 10
FWCI: 1.702
Citation percentile (by year/subfield): 70.29
Subfield: Atmospheric Science
Field: Earth and Planetary Sciences
Domain: Physical Sciences
Open Access status: hybrid
Grant IDS Research Fellowship, 949388