Efficient nonlinear optimal smoothing and sampling algorithms for complex turbulent nonlinear dynamical systems with partial observations
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Publication:777550
DOI10.1016/j.jcp.2020.109381zbMath1436.37091OpenAlexW3009614366MaRDI QIDQ777550
Publication date: 7 July 2020
Published in: Journal of Computational Physics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jcp.2020.109381
model errorhidden variablesextreme eventscomplex nonlinear turbulent systemsnonlinear optimal smoothingoptimal backward sampling
Statistics of extreme values; tail inference (62G32) Time series analysis of dynamical systems (37M10)
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Learning nonlinear turbulent dynamics from partial observations via analytically solvable conditional statistics, A causality-based learning approach for discovering the underlying dynamics of complex systems from partial observations with stochastic parameterization, Uncertainty quantification of nonlinear Lagrangian data assimilation using linear stochastic forecast models, Improving the prediction of complex nonlinear turbulent dynamical systems using nonlinear filter, smoother and backward sampling techniques
Uses Software
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