Articles | Volume 16, issue 5
https://doi.org/10.5194/esd-16-1723-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esd-16-1723-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Oct 2025
Research article |
| 15 Oct 2025
| 15 Oct 2025
Seamless seasonal to multi-annual predictions of temperature and Standardized Precipitation Index by constraining transient climate model simulations
Juan C. Acosta Navarro
CORRESPONDING AUTHOR
European Commission, Joint Research Centre, Ispra, Italy
Alvise Aranyossy
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Paolo De Luca
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Markus G. Donat
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
Arthur Hrast Essenfelder
European Commission, Joint Research Centre, Ispra, Italy
Rashed Mahmood
National Center for Climate Research (NCKF), Danish Meteorological Institute, Copenhagen, Denmark
Andrea Toreti
European Commission, Joint Research Centre, Ispra, Italy
Danila Volpi
European Commission, Joint Research Centre, Ispra, Italy
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Roberto Bilbao, Simon Wild, Pablo Ortega, Juan Acosta-Navarro, Thomas Arsouze, Pierre-Antoine Bretonnière, Louis-Philippe Caron, Miguel Castrillo, Rubén Cruz-García, Ivana Cvijanovic, Francisco Javier Doblas-Reyes, Markus Donat, Emanuel Dutra, Pablo Echevarría, An-Chi Ho, Saskia Loosveldt-Tomas, Eduardo Moreno-Chamarro, Núria Pérez-Zanon, Arthur Ramos, Yohan Ruprich-Robert, Valentina Sicardi, Etienne Tourigny, and Javier Vegas-Regidor
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Short summary
A computationally inexpensive climate model analog method yields skillful climate predictions across timescales, from seasons to multiple years, complementing existing climate prediction systems and potentially providing valuable information for sectors like agriculture and energy.
A computationally inexpensive climate model analog method yields skillful climate predictions...
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