Articles | Volume 11, issue 3
https://doi.org/10.5194/esd-11-835-2020
https://doi.org/10.5194/esd-11-835-2020
Research article
 | 
18 Sep 2020
Research article |  | 18 Sep 2020

Reconstructing coupled time series in climate systems using three kinds of machine-learning methods

Yu Huang, Lichao Yang, and Zuntao Fu

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Latest update: 18 Jun 2024
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Short summary
We investigate the applicability of machine learning (ML) on time series reconstruction and find that the dynamical coupling relation and nonlinear causality are crucial for the application of ML. Our results could provide insights into causality and ML approaches for paleoclimate reconstruction, parameterization schemes, and prediction in climate studies.
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