2026-06-08T03:42:50Zhttps://docta.ucm.es/rest/oai/request
oai:docta.ucm.es:20.500.14352/1237782025-09-09T23:51:53Zcom_20.500.14352_14col_20.500.14352_15
Docta Complutense author Fernández-Castillo, Pablo author Losada Doval, Teresa author Rodríguez De Fonseca, María Belén author García-Maroto, Diego author Mohino Harris, Elsa author Durán Montejano, Luis 2025-09-09T08:41:18Z 2025-09-09T08:41:18Z 2025 Fernández-Castillo, P., Losada, T., Rodríguez-Fonseca, B. et al. Multidecadal variability of the ENSO early-winter teleconnection to Europe and implications for seasonal forecasting. npj Clim Atmos Sci 8, 272 (2025). https://doi.org/10.1038/s41612-025-01160-3 2397-3722 10.1038/s41612-025-01160-3 https://hdl.handle.net/20.500.14352/123778 https://doi.org/10.1038/s41612-025-01160-3 https://www.nature.com/articles/s41612-025-01160-3 The impacts of El Niño-Southern Oscillation (ENSO) on the North Atlantic and European sector (NAE) climate are season-dependent and, in some cases, not linear and/or not stationary. Previous studies have found multidecadal variability in ENSO teleconnections to NAE in certain seasons, relating it to changes in the background state. However, the stationarity of the teleconnection and its surface impacts in Europe during early winter remain largely unexplored, a gap intended to be addressed in this study. The observational analysis reveals changes in the teleconnection impacts and mechanisms over recent decades. These changes have strong implications for the assessment of seasonal predictability, hence the performance of the SEAS5 seasonal prediction model is analysed. While SEAS5 does not accurately capture the observed non-stationarity, it displays pronounced multidecadal changes in forecast skill. This implies the emergence of windows of opportunity for seasonal forecasting, where predictability may be higher than initially expected. eng Attribution 4.0 International Multidecadal variability of the ENSO early-winter teleconnection to Europe and implications for seasonal forecasting journal article 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URL https://docta.ucm.es/bitstreams/d8c6f862-d8c6-4009-9632-e6e64244e5bb/download File MD5 45f0173a9438230a26bb15deb08b6052 6440376 application/pdf s41612-025-01160-3.pdf