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Impact of equatorial Atlantic variability on ENSO predictive skill

Author

Listed:
  • Eleftheria Exarchou

    (Barcelona Supercomputing Center (BSC))

  • Pablo Ortega

    (Barcelona Supercomputing Center (BSC))

  • Belén Rodríguez-Fonseca

    (Universidad Complutense de Madrid
    IGEO (CSIC-UCM))

  • Teresa Losada

    (Universidad Complutense de Madrid)

  • Irene Polo

    (Universidad Complutense de Madrid)

  • Chloé Prodhomme

    (Barcelona Supercomputing Center (BSC)
    Universitat de Barcelona (UB)
    Université de Toulouse, Météo France, CNRS)

Abstract

El Niño-Southern Oscillation (ENSO) is a key mode of climate variability with worldwide climate impacts. Recent studies have highlighted the impact of other tropical oceans on its variability. In particular, observations have demonstrated that summer Atlantic Niños (Niñas) favor the development of Pacific Niñas (Niños) the following winter, but it is unclear how well climate models capture this teleconnection and its role in defining the seasonal predictive skill of ENSO. Here we use an ensemble of seasonal forecast systems to demonstrate that a better representation of equatorial Atlantic variability in summer and its lagged teleconnection mechanism with the Pacific relates to enhanced predictive capacity of autumn/winter ENSO. An additional sensitivity study further shows that correcting SST variability in equatorial Atlantic improves different aspects of forecast skill in the Tropical Pacific, boosting ENSO skill. This study thus emphasizes that new efforts to improve the representation of equatorial Atlantic variability, a region with long standing systematic model biases, can foster predictive skill in the region, the Tropical Pacific and beyond, through the global impacts of ENSO.

Suggested Citation

  • Eleftheria Exarchou & Pablo Ortega & Belén Rodríguez-Fonseca & Teresa Losada & Irene Polo & Chloé Prodhomme, 2021. "Impact of equatorial Atlantic variability on ENSO predictive skill," Nature Communications, Nature, vol. 12(1), pages 1-8, December.
    • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-21857-2
    DOI: 10.1038/s41467-021-21857-2
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    Cited by:

    1. Lledó, Llorenç & Ramon, Jaume & Soret, Albert & Doblas-Reyes, Francisco-Javier, 2022. "Seasonal prediction of renewable energy generation in Europe based on four teleconnection indices," Renewable Energy, Elsevier, vol. 186(C), pages 420-430.

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