Articles | Volume 15, issue 4
https://doi.org/10.5194/esd-15-893-2024
https://doi.org/10.5194/esd-15-893-2024
Research article
 | 
17 Jul 2024
Research article |  | 17 Jul 2024

Variability and predictability of a reduced-order land–atmosphere coupled model

Anupama K. Xavier, Jonathan Demaeyer, and Stéphane Vannitsem

Viewed

Total article views: 1,517 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,228 231 58 1,517 53 54
  • HTML: 1,228
  • PDF: 231
  • XML: 58
  • Total: 1,517
  • BibTeX: 53
  • EndNote: 54
Views and downloads (calculated since 24 Oct 2023)
Cumulative views and downloads (calculated since 24 Oct 2023)

Viewed (geographical distribution)

Total article views: 1,517 (including HTML, PDF, and XML) Thereof 1,492 with geography defined and 25 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Apr 2025
Download
Short summary
This research focuses on understanding different atmospheric patterns like blocking, zonal, and transition regimes and analyzing their predictability. We used an idealized land–atmosphere coupled model to simulate Earth's atmosphere. Then we identified these blocking, zonal, and transition regimes using Gaussian mixture clustering and studied their predictability using Lyapunov exponents.
Share
Altmetrics
Final-revised paper
Preprint