使用大型模式集合的平流层突然变暖的统计

IF 2 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES Atmospheric Science Letters Pub Date : 2023-11-28 DOI:10.1002/asl.1202
Sarah Ineson, Nick J. Dunstone, Adam A. Scaife, Martin B. Andrews, Julia F. Lockwood, Bo Pang
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引用次数: 0

摘要

利用来自季节预报系统的大量初始回顾性预报(预测),我们探讨了与平流层突然变暖(SSWs)有关的各种统计数据。观测表明,在北半球El Niño和La Niña冬季,SSWs的发生频率相似。这与预期相反,因为与La Niña年相关的更强的平流层极地涡旋可能会导致更少的这种极端破坏。在这里,我们表明,由于观测记录中有限的年份样本,这种相似的频率可能偶然发生。我们还表明,在这些预测中,有两个ssw的冬季(这是观测记录中罕见的事件)平均会增加地表影响。如果事件是独立的,那么多个SSW事件的发生率低于预期,但有些令人惊讶的是,我们的分析还表明,尽管很小,但冬季出现三个或更多SSW事件的风险尚未出现。
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Statistics of sudden stratospheric warmings using a large model ensemble

Using a large ensemble of initialised retrospective forecasts (hindcasts) from a seasonal prediction system, we explore various statistics relating to sudden stratospheric warmings (SSWs). Observations show that SSWs occur at a similar frequency during both El Niño and La Niña northern hemisphere winters. This is contrary to expectation, as the stronger stratospheric polar vortex associated with La Niña years might be expected to result in fewer of these extreme breakdowns. Here we show that this similar frequency may have occurred by chance due to the limited sample of years in the observational record. We also show that in these hindcasts, winters with two SSWs, a rare event in the observational record, on average have an increased surface impact. Multiple SSW events occur at a lower rate than expected if events were independent but somewhat surprisingly, our analysis also indicates a risk, albeit small, of winters with three or more SSWs, as yet an unseen event.

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来源期刊
Atmospheric Science Letters
Atmospheric Science Letters METEOROLOGY & ATMOSPHERIC SCIENCES-
CiteScore
4.90
自引率
3.30%
发文量
73
审稿时长
>12 weeks
期刊介绍: Atmospheric Science Letters (ASL) is a wholly Open Access electronic journal. Its aim is to provide a fully peer reviewed publication route for new shorter contributions in the field of atmospheric and closely related sciences. Through its ability to publish shorter contributions more rapidly than conventional journals, ASL offers a framework that promotes new understanding and creates scientific debate - providing a platform for discussing scientific issues and techniques. We encourage the presentation of multi-disciplinary work and contributions that utilise ideas and techniques from parallel areas. We particularly welcome contributions that maximise the visualisation capabilities offered by a purely on-line journal. ASL welcomes papers in the fields of: Dynamical meteorology; Ocean-atmosphere systems; Climate change, variability and impacts; New or improved observations from instrumentation; Hydrometeorology; Numerical weather prediction; Data assimilation and ensemble forecasting; Physical processes of the atmosphere; Land surface-atmosphere systems.
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