Predictability of the quasi-biennial oscillation and its northern winter teleconnection on seasonal to decadal timescales
Scaife, AA; Athanassiadou, M; Andrews, M; et al.Arribas, A; Baldwin, M; Dunstone, N; Knight, J; Maclachlan, C; Manzini, E; Müller, WA; Pohlmann, H; Smith, D; Stockdale, T; Williams, A
Date: 16 March 2014
Article
Journal
Geophysical Research Letters
Publisher
Wiley/American Geophysical Union
Publisher DOI
Abstract
The predictability of the quasi-biennial oscillation (QBO) is examined in initialized climate forecasts extending out to lead times of years. We use initialized retrospective predictions made with coupled ocean-atmosphere climate models that have an internally generated QBO. We demonstrate predictability of the QBO extending more than ...
The predictability of the quasi-biennial oscillation (QBO) is examined in initialized climate forecasts extending out to lead times of years. We use initialized retrospective predictions made with coupled ocean-atmosphere climate models that have an internally generated QBO. We demonstrate predictability of the QBO extending more than 3 years into the future, well beyond timescales normally associated with internal atmospheric processes. Correlation scores with observational analyses exceed 0.7 at a lead time of 12 months. We also examine the variation of predictability with season and QBO phase and find that skill is lowest in winter. An assessment of perfect predictability suggests that higher skill may be achievable through improved initialization and climate modeling of the QBO, although this may depend on the realism of gravity wave source parameterizations in the models. Finally, we show that skilful prediction of the QBO itself does not guarantee predictability of the extratropical winter teleconnection that is important for surface winter climate prediction. Key Points The QBO is skilfully predicted in seasonal-decadal forecast systems Further improvements in predictions of the QBO are possible The QBO winter surface teleconnection is reproduced with mixed success
Mathematics and Statistics
Faculty of Environment, Science and Economy
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