Earth System Dynamics
Earth System Dynamics
ESD
Articles | Volume 17, issue 1
Articles | Volume 17, issue 1
https://doi.org/10.5194/esd-17-41-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esd-17-41-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 1
Research article
 | 
07 Jan 2026
Research article |  | 07 Jan 2026

Seamless climate information from months to multiple years: constraining decadal predictions with seasonal predictions and past observations, and their comparison to multi-annual predictions

Carlos Delgado-Torres, Markus G. Donat, Núria Pérez-Zanón, Verónica Torralba, Roberto Bilbao, Pierre-Antoine Bretonnière, Margarida Samsó-Cabré, Albert Soret, and Francisco J. Doblas-Reyes

Viewed

Total article views: 7,112 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
5,536 1,351 225 7,112 824 259 265
  • HTML: 5,536
  • PDF: 1,351
  • XML: 225
  • Total: 7,112
  • Supplement: 824
  • BibTeX: 259
  • EndNote: 265
Views and downloads (calculated since 11 Aug 2025)
Cumulative views and downloads (calculated since 11 Aug 2025)

Viewed (geographical distribution)

Total article views: 7,112 (including HTML, PDF, and XML) Thereof 6,985 with geography defined and 127 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 22 Oct 2026
Download
Short summary
Many decisions require consistent climate information from seasonal to multi-year timescales. We assess seamless forecasts created by constraining seasonal and decadal predictions and compare them with initialised multi-annual forecasts. Multi-annual predictions provide the highest skill, but constrained forecasts still perform well and offer a low-cost, regularly updatable solution for delivering coherent climate information.
Read more
Share
Altmetrics
Final-revised paper
Preprint