Abstract

This study investigates the influence of atmospheric initial conditions on winter seasonal forecasts of the North Atlantic Oscillation (NAO). Hindcast (or reforecast) experiments – which differ only in their initial conditions – are performed over the period 1960–2009, using prescribed sea surface temperature (SST) and sea‐ice boundary conditions. The first experiment (“ERA‐40/Int IC”) is initialized using the ERA‐40 and ERA‐Interim reanalysis datasets, which assimilate upper‐air, satellite and surface observations; the second experiment (“ERA‐20C IC”) is initialized using the ERA‐20C reanalysis dataset, which assimilates only surface observations. The ensemble mean NAO skill is largest in ERA‐40/Int IC (r = 0.54), which is initialized with the superior reanalysis data. Moreover, ERA‐20C IC did not exhibit significantly more NAO hindcast skill (r = 0.38) than in a third experiment, which was initialized with incorrect (shuffled) initial conditions. The ERA‐40/Interim and ERA‐20C initial conditions differ substantially in the tropical stratosphere, where the quasi‐biennial oscillation (QBO) of zonal winds is not present in ERA‐20C. The QBO hindcasts are highly skilful in ERA‐40/Int IC – albeit with a somewhat weaker equatorial zonal wind amplitude in the lower stratosphere – but are incorrect in ERA‐20C IC, indicating that the QBO is responsible for the additional NAO hindcast skill; this is despite the model exhibiting a relatively weak teleconnection between the QBO and NAO. The influence of the QBO is further demonstrated by regressing out the QBO influence from each of the hindcast experiments, after which the difference in NAO hindcast skill between the experiments is negligible. Whilst ERA‐40/Int IC demonstrates a more skilful NAO hindcast, it appears to have a relatively weak predictable signal; this is the so‐called “signal‐to‐noise paradox” identified in previous studies. Diagnostically amplifying the (weak) QBO–NAO teleconnection increases the ensemble‐mean NAO signal with negligible impact on the NAO hindcast skill, after which the signal‐to‐noise problem seemingly disappears.

Highlights

  • Wintertime climate anomalies over Europe and Asia are strongly dependent on the North Atlantic Oscillation (NAO), which is the dominant mode of large-scale atmospheric circulation variability over the Euro-Atlantic sector (e.g. Hurrell et al, 2001)

  • In this study we have investigated the influence of atmospheric initial conditions on winter seasonal hindcasts of the NAO

  • The results of the present study suggest that seasonal forecasting models which capture predictable relationships too weakly may be able to exhibit substantial ensemble mean skill with a large number of ensemble members, but will have a signal that is somewhat too weak

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Summary

INTRODUCTION

Wintertime climate anomalies over Europe and Asia are strongly dependent on the North Atlantic Oscillation (NAO), which is the dominant mode of large-scale atmospheric circulation variability over the Euro-Atlantic sector (e.g. Hurrell et al, 2001). A notable feature of the recent seasonal forecast systems which have exhibited increased NAO hindcast skill, is that the ensemble mean signal in the NAO (or AO) seems to be somewhat weaker than one might expect for the level of demonstrated correlation skill. This was shown by Eade et al (2014), who examined the “ratio-of-predictable-components” in the Met Office seasonal and decadal forecasting systems (recent review by Scaife and Smith, 2018).

Observational datasets
Hindcast experiments
QBO indices
NAO indices
Monte Carlo significance testing
RESULTS
Initial condition comparison
NAO skill in the hindcast experiments
Representation of the QBO in the hindcast experiments
QBO teleconnection to the NAO in the hindcast experiments
Contribution of the QBO to the hindcast NAO skill
The QBO teleconnection and the signal-to-noise paradox
SUMMARY AND FURTHER DISCUSSION
Full Text
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