Abstract
The Arctic Oscillation (AO) describes a seesaw pattern of variations in atmospheric mass over the polar cap. It is by now well established that the AO pattern is in part determined by the state of the stratosphere. In particular, sudden stratospheric warmings (SSWs) are known to nudge the tropospheric circulation toward a more negative phase of the AO, which is associated with a more equatorward shifted jet and enhanced likelihood for blocking and cold air outbreaks in mid-latitudes. SSWs are also thought to contribute to the occurrence of extreme AO events. However, statistically robust results about such extremes are difficult to obtain from observations or meteorological (re-)analyses due to the limited sample size of SSW events in the observational record (roughly 6 SSWs per decade). Here we exploit a large set of extended-range ensemble forecasts within the subseasonal-to-seasonal (S2S) framework to obtain an improved characterization of the modulation of AO extremes due to stratosphere-troposphere coupling. Specifically, we greatly boost the sample size of stratospheric events by using potential SSWs (p-SSWs), i.e., SSWs that are predicted to occur in individual forecast ensemble members regardless of whether they actually occurred in the real atmosphere. For example, for the ECMWF S2S ensemble this gives us a total of 6101 p-SSW events for the period 1997–2021. A standard lag-composite analysis around these p-SSWs validates our approach, i.e., the associated composite evolution of stratosphere-troposphere coupling matches the known evolution based on reanalyses data around real SSW events. Our statistical analyses further reveal that following p-SSWs, relative to climatology: 1) persistently negative AO states (> 1 week duration) are 16 % more likely, 2) the likelihood for extremely negative AO states (< −3σ) is enhanced by at least 35 %, while that for extremely positive AO states (> +3σ) is reduced to almost zero, 3) a p-SSW preceding an extremely negative AO state within 4 weeks is causal for this AO extreme (in a statistical sense) up to a degree of 27 %. A corresponding analysis relative to strong stratospheric vortex events reveals similar insights into the stratospheric modulation of positive AO extremes.
Highlights
Day-to-day variability of the northern extratropical hemispheric-scale circulation during winter is dominated by the so-called Northern Annular Mode (NAM, Thompson and Wallace, 1998)
Whether it is generally valid that stratospheric warmings (SSWs), and strong polar vortex events, lead to a subsequently more likely occurrence of Arctic Oscillation (AO) extremes is difficult to analyze because the statistical links are weak in each case, i.e., not each SSW/SPV event is followed by an AO extreme
250 climatology: For instance, 38% of negative NAM1000 periods are longer than 7 days in the climatology, whereas this probability rises to 44% following potential SSWs (p-SSWs), which corresponds to a relative increase of 16% (UKMO: 16%, not shown)
Summary
Day-to-day variability of the northern extratropical hemispheric-scale circulation during winter is dominated by the so-called Northern Annular Mode (NAM, Thompson and Wallace, 1998). Whether it is generally valid that SSWs, and strong polar vortex events, lead to a subsequently more likely occurrence of AO extremes (and associated local extremes) is difficult to analyze because the statistical links are weak in each case, i.e., not each SSW/SPV event is followed by an AO extreme. In order to allow for analyses of larger event sample sizes, past studies have used, for example, idealized model simulations (e.g., Hitchcock and Simpson, 2014; Jucker, 2016) Even though such models have proven to be useful to develop a qualitative and conceptual picture, they often show a weaker tropospheric response to stratospheric events compared to observational data (Gerber et al, 2009).
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