Earth System Dynamics
Earth System Dynamics
ESD
Articles | Volume 11, issue 3
Articles | Volume 11, issue 3
https://doi.org/10.5194/esd-11-835-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esd-11-835-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 3
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

Viewed

Total article views: 5,145 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,593 1,413 139 5,145 169 173
  • HTML: 3,593
  • PDF: 1,413
  • XML: 139
  • Total: 5,145
  • BibTeX: 169
  • EndNote: 173
Views and downloads (calculated since 04 Nov 2019)
Cumulative views and downloads (calculated since 04 Nov 2019)

Viewed (geographical distribution)

Total article views: 5,145 (including HTML, PDF, and XML) Thereof 4,609 with geography defined and 536 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 25 Nov 2025
Download
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.
Read more
Share
Altmetrics
Final-revised paper
Preprint