A data-driven statistical-stochastic surrogate modeling strategy for complex nonlinear non-stationary dynamics

DOI10.1016/j.jcp.2023.112085arXiv2208.10612OpenAlexW4360999787MaRDI QIDQ6158085

Di Qi, John Harlim

Publication date: 31 May 2023

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

Full work available at URL: https://arxiv.org/abs/2208.10612

zbMATH Keywords

information metricstatistical responsedata-driven parameterizationinhomogeneous dynamics with instabilitystochastic closure model

Mathematics Subject Classification ID

Turbulence (76Fxx) Inference from stochastic processes (62Mxx) Geophysics (86Axx)

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