Multidecadal variability of the ENSO early-winter teleconnection to Europe and implications for seasonal forecasting

Abstract 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.

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Publication Details

Journal
npj Climate and Atmospheric Science
Published
2025-07-18
DOI
https://doi.org/10.1038/s41612-025-01160-3
Citations
1
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
1.11

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article

Multidecadal variability of the ENSO early-winter teleconnection to Europe and implications for seasonal forecasting

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1 citations
npj Climate and Atmospheric Science
Climate variability and models
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article

Multidecadal variability of the ENSO early-winter teleconnection to Europe and implications for seasonal forecasting

Belén Rodríguez‐Fonseca, L. Durán, Elsa Mohíno, Pablo Fernández-Castillo, Teresa Losada, Diego García-Maroto
article en
1 citations

Abstract

Abstract 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.

npj Climate and Atmospheric ScienceVol. 8(1)
Universidad Complutense de Madrid (ES), Instituto de Geociencias (ES)
European Commission, Ministerio para la Transición Ecológica y el Reto Demográfico
Openalex Percentile: Top 18%
Climate variability and models
1.11
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