Abstract

AbstractWeather regime forecasts are a prominent use case of sub‐seasonal prediction in the midlatitudes. A systematic evaluation and understanding of year‐round sub‐seasonal regime forecast performance is still missing, however. Here we evaluate the representation of and forecast skill for seven year‐round Atlantic–European weather regimes in sub‐seasonal reforecasts from the European Centre for Medium‐Range Weather Forecasts. Forecast calibration improves regime frequency biases and forecast skill most strongly in summer, but scarcely in winter, due to considerable large‐scale flow biases in summer. The average regime skill horizon in winter is about 5 days longer than in summer and spring, and 3 days longer than in autumn. The Zonal Regime and Greenland Blocking tend to have the longest year‐round skill horizon, which is driven by their high persistence in winter. The year‐round skill is lowest for the European Blocking, which is common for all seasons but most pronounced in winter and spring. For the related, more northern Scandinavian Blocking, the skill is similarly low in winter and spring but higher in summer and autumn. We further show that the winter average regime skill horizon tends to be enhanced following a strong stratospheric polar vortex (SPV), but reduced following a weak SPV. Likewise, the year‐round average regime skill horizon tends to be enhanced following phases 4 and 7 of the Madden–Julian Oscillation (MJO) but reduced following phase 2, driven by winter but also autumn and spring. Our study thus reveals promising potential for year‐round sub‐seasonal regime predictions. Further model improvements can be achieved by reduction of the considerable large‐scale flow biases in summer, better understanding and modeling of blocking in the European region, and better exploitation of the potential predictability provided by weak SPV states and specific MJO phases in winter and the transition seasons.

Highlights

  • Numerical weather prediction has been improving substantially during the last decades (Bauer et al, 2015)

  • Further model improvements can be achieved by reduction of the considerable large-scale flow biases in summer, better understanding and modeling of blocking in the European region, and better exploitation of the potential predictability provided by weak stratospheric polar vortex (SPV) states and specific Madden–Julian Oscillation (MJO) phases in winter and the transition seasons

  • This upstream region might play a crucial role in the dynamics of Atlantic–European weather regimes (e.g., Rivière and Orlanski, 2007; Michel and Rivière, 2011; Michel et al, 2012; Rivière and Drouard, 2015), the role of the corresponding biases is not discussed here and remains a topic for further research

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Summary

INTRODUCTION

Numerical weather prediction has been improving substantially during the last decades (Bauer et al, 2015). We investigate the sub-seasonal forecast performance in predicting a novel set of seven year-round Atlantic–European weather regimes by Grams et al (2017), which have been shown to offer certain benefits compared with the four classic regimes: they can explain sub-seasonal surface weather modulation in Europe better in situations in which the four regimes are too coarse to do so (Beerli and Grams, 2019; Grams et al, 2020; Domeisen et al, 2020b) Quantifying their forecast skill will provide us with a refined view of the problems (and strengths) of state-of-the-art sub-seasonal models.

Model and reanalysis
Weather regimes
Skill scores
RESULTS
Verification of weather regime forecast skill
Role of verification window
Role of lower-frequency phenomena
SUMMARY AND CONCLUSIONS

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