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Drivers of the ECMWF SEAS5 seasonal forecast for the hot and dry European summer of 2022

Patterson, M. ORCID: https://orcid.org/0000-0002-9484-8410, Befort, D. J., O'Reilly, C. ORCID: https://orcid.org/0000-0002-8630-1650 and Weisheimer, A. (2024) Drivers of the ECMWF SEAS5 seasonal forecast for the hot and dry European summer of 2022. Drivers of the ECMWF SEAS5 seasonal forecast for the hot and dry European summer of 2022. (In Press)

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To link to this item DOI: 10.1002/qj.4851

Abstract/Summary

The European summer (June-July-August) 2022 was characterised by warm and dry anomalies across much of the continent, likely influenced by a northward shifted jet stream. These general features were well predicted by ECMWF's system 5 seasonal forecast, initialised on the 1st May. Such successful predictions for European summers are relatively uncommon, particularly for atmospheric circulation. In this study a set of hindcast experiments is employed to investigate the role that initialisation of the ocean, atmosphere and land-surface played in the 2022 forecast. We find that the trend from external forcing was the strongest contributer to the forecast near-surface temperature anomalies, with atmospheric circulation and land-surface interactions playing a secondary role. On the other hand, atmospheric circulation made a strong contribution to precipitation anomalies. Modelled Euro-Atlantic circulation anomalies in 2022 were consistent with a La Nina-forced teleconnection from the tropical Pacific. However, a northward jet trend in the model hindcasts with increasing greenhouse gas concentrations, also contributed to the predicted circulation anomalies in 2022. In contrast, the observed linear trend in the jet over the past four decades was a southward shift, though it is unclear whether this trend was driven by external forcings or natural variability. Nevertheless, this case study demonstrates that important features of at least some European summers are predictable at the seasonal timescale.

Item Type:Article
Refereed:Yes
Divisions:Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
ID Code:117894
Publisher:Wiley

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