Preprints
https://doi.org/10.5194/egusphere-2026-547
https://doi.org/10.5194/egusphere-2026-547
11 Feb 2026
 | 11 Feb 2026
Status: this preprint is open for discussion and under review for Weather and Climate Dynamics (WCD).

ENSO teleconnections in eddy-rich climate models

Bianca Mezzina, Christopher David Roberts, Matthias Aengenheyster, Rohit Ghosh, Malcolm John Roberts, and Marc Batlle Martin

Abstract. We examine how ENSO atmospheric teleconnections are represented in a novel suite of coupled simulations with eddy-resolving ocean and high-resolution atmosphere, at an unprecedented grid spacing of ∼10 km in both components. The single-member, multi-decadal experiments have been performed under a coordinated protocol within the European Eddy-RIch Earth System Models (EERIE) project using three different models.

To assess the performance of the EERIE models, we design tailored metrics to encapsulate and quantify different aspects of the ENSO teleconnections: direct tropical response, Rossby wave sources, extra-tropical tropospheric and stratospheric anomalies, and surface impacts. The metrics are based on linear regressions on the Niño3.4 index of several atmospheric fields in early- and late winter. Additionally, we apply the same diagnostics to a set of complementary atmosphere-only simulations run at lower resolution (∼30 km, 10 members) and high resolution (∼10 km, 1 member), which allow to isolate the impact of atmospheric resolution and estimate the internal variability.

We find mixed results in the EERIE coupled simulations compared to previous generation eddy-parametrized and eddy-permitting models (maximum ∼25 km in both atmosphere and ocean). The performance, though overall positive, varies by season, region, and model configuration and a systematic improvement does not emerge clearly. Similarly, the atmosphere-only experiments also indicate limited advances from the increased atmospheric resolution. However, potential benefits may be hindered by the large uncertainty in the ENSO response due to internal variability and sampling.

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Bianca Mezzina, Christopher David Roberts, Matthias Aengenheyster, Rohit Ghosh, Malcolm John Roberts, and Marc Batlle Martin

Status: open (until 04 Apr 2026)

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Bianca Mezzina, Christopher David Roberts, Matthias Aengenheyster, Rohit Ghosh, Malcolm John Roberts, and Marc Batlle Martin

Data sets

EERIE simulations EERIE team https://eerie.cloud.dkrz.de

Bianca Mezzina, Christopher David Roberts, Matthias Aengenheyster, Rohit Ghosh, Malcolm John Roberts, and Marc Batlle Martin

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Short summary
El Nino-Southern Oscllation (ENSO) is a climate phenomenon that can influence climate worldwide, but current climate models still struggle to properly simulate its impacts. We investigate if a new set of models with unprecedented fine detail in the ocean and the atmosphere can simulate this better. By comparing several models and experiments, we find that higher detail does not always improve results and that natural climate variability strongly limits clear gains.
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