Articles | Volume 17, issue 1
https://doi.org/10.5194/esd-17-41-2026
https://doi.org/10.5194/esd-17-41-2026
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: 5,998 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
4,844 1,041 113 5,998 627 159 157
  • HTML: 4,844
  • PDF: 1,041
  • XML: 113
  • Total: 5,998
  • Supplement: 627
  • BibTeX: 159
  • EndNote: 157
Views and downloads (calculated since 11 Aug 2025)
Cumulative views and downloads (calculated since 11 Aug 2025)

Viewed (geographical distribution)

Total article views: 5,998 (including HTML, PDF, and XML) Thereof 5,930 with geography defined and 68 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 27 May 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.
Share
Altmetrics
Final-revised paper
Preprint