Learning nonlinear turbulent dynamics from partial observations via analytically solvable conditional statistics-Reference-Cited by-同舟云学术

Learning nonlinear turbulent dynamics from partial observations via analytically solvable conditional statistics

Published:2020-10 Issue: Volume:418 Page:109635
ISSN:0021-9991
Container-title:Journal of Computational Physics
language:en
Short-container-title:Journal of Computational Physics

Author:

Chen Nan^ORCID

Funder

Office of Naval Research

Publisher

Elsevier BV

Subject

Computer Science Applications,Physics and Astronomy (miscellaneous),Applied Mathematics,Computational Mathematics,Modelling and Simulation,Numerical Analysis

Reference125 articles.

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4. Complex Systems Science in Biomedicine;Deisboeck,2007

5. Atmospheric Modeling, Data Assimilation and Predictability;Kalnay,2003

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