Using machine learning to predict statistical properties of non-stationary dynamical processes: System climate,regime transitions, and the effect of stochasticity

DOI10.1063/5.0042598zbMath1459.86011OpenAlexW3136433498MaRDI QIDQ3388699

Michelle Girvan, Daniel Canaday, Edward Ott, Dhruvit Patel, Andrew Pomerance

Publication date: 6 May 2021

Published in: Chaos: An Interdisciplinary Journal of Nonlinear Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1063/5.0042598

Mathematics Subject Classification ID

Computational methods for problems pertaining to geophysics (86-08) Climate science and climate modeling (86A08)

Related Items (1)

Reservoir computing with error correction: long-term behaviors of stochastic dynamical systems

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