2020/2021年欧洲冬季的可预测性:冬季中期平流层突然变暖的影响

IF 2 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES
Julia F. Lockwood, Nicky Stringer, Hazel E. Thornton, Adam A. Scaife, Philip E. Bett, Tamara Collier, Ruth Comer, Nick Dunstone, Margaret Gordon, Leon Hermanson, Sarah Ineson, Jamie Kettleborough, Jeff Knight, Joseph Mancell, Peter McLean, Doug Smith, Tony Wardle, Prince Xavier, Ben Youngman
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引用次数: 1

摘要

北大西洋/欧洲地区2020/2021年冬季(12月至2月)的特征是北大西洋振荡(NAO)指数为负。尽管这是在英国气象局全球季节性预报系统(GloSea5)的总体预测范围内捕捉到的,17%的总体成员预测NAO小于零,但预测总体平均值已向正NAO阶段转变。在1月初平流层突然变暖(SSW)和1月底/2月初麦登-朱利安振荡(MJO)的第6或第7阶段延长之后,1月和2月观测到的每月NAO异常尤其为负值。相比之下,预测显示了观测到的拉尼娜现象的预期遥相关,阿留申低压减弱导致正NAO信号,导致对流层波浪活动减少,极地涡旋强度增加,SSW发生的机会减少。一旦SSW和MJO在中等范围内,在冬季晚些时候初始化的预测成功地预测了1月和2月的负NAO。GloSea5可能高估了拉尼娜现象的强度,我们估计这导致了SSW概率的小负偏差。然而,该误差小于有限预测集合大小的SSW概率的不确定性,强调了对大型预测集合的需求。该案例研究还证明了持续更新滞后集合预测相对于在固定日期开始的“突发”集合的优势,因为可以及早检测到季节内事件导致的预测信号变化,并及时通知用户。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Predictability of European winter 2020/2021: Influence of a mid-winter sudden stratospheric warming

Predictability of European winter 2020/2021: Influence of a mid-winter sudden stratospheric warming

Boreal winter (December–February) 2020/2021 in the North Atlantic/European region was characterised by a negative North Atlantic Oscillation (NAO) index. Although this was captured within the ensemble spread of predictions from the Met Office Global Seasonal forecast system (GloSea5), with 17% of ensemble members predicting an NAO less than zero, the forecast ensemble mean was shifted towards a positive NAO phase. The observed monthly NAO anomalies were particularly negative in January and February, following an early January sudden stratospheric warming (SSW), and a prolonged period of Phase 6 or 7 of the Madden Julian Oscillation (MJO) in late January/early February. In contrast, predictions showed the expected teleconnection from the observed La Niña, with a positive NAO signal resulting from a weakening of the Aleutian Low leading to a reduction in tropospheric wave activity, an increase in polar vortex strength and a reduced chance of an SSW. Forecasts initialised later in the winter season successfully predicted the negative NAO in January and February once the SSW and MJO were within the medium range timescale. GloSea5 likely over-predicted the strength of the La Niña which we estimate caused a small negative bias in the SSW probability. However, this error is smaller than the uncertainty in SSW probability from the finite forecast ensemble size, emphasising the need for large forecast ensembles. This case study also demonstrates the advantage of continuously updated lagged ensemble forecasts over a ‘burst’ ensemble started on a fixed date, since a change in forecast signal due to events within the season can be detected early and promptly communicated to users.

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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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