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

Abstract The European summer (June–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 European Centre for Medium‐Range Weather Forecasts' system 5 seasonal forecast, initialised on May 1. 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 contributor 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 Niña‐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 time‐scale.

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Publication Details

Journal
Quarterly Journal of the Royal Meteorological Society
Published
2024-09-09
DOI
https://doi.org/10.1002/qj.4851
Citations
5
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
1.41

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article

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

Matthew Patterson, Daniel J. Befort, Antje Weisheimer, Christopher O’Reilly
5 citations
Quarterly Journal of the Royal Meteorological Society
Climate variability and models
1.41
article

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

Matthew Patterson, Daniel J. Befort, Antje Weisheimer, Christopher O’Reilly
article en
5 citations

Abstract

Abstract The European summer (June–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 European Centre for Medium‐Range Weather Forecasts' system 5 seasonal forecast, initialised on May 1. 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 contributor 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 Niña‐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 time‐scale.

Quarterly Journal of the Royal Meteorological SocietyVol. 150(765)
European Centre for Medium-Range Weather Forecasts (GB), University of Oxford (GB), National Centre for Atmospheric Science (GB), University of Reading (GB)
Sight Research UK, Natural Environment Research Council
Openalex Percentile: Top 19%
Climate variability and models
1.41
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