Predictability of European winter 2021/2022: Influence of La Niña and stratospheric polar vortex

IF 2 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES Atmospheric Science Letters Pub Date : 2024-06-09 DOI:10.1002/asl.1255
Peter McLean, Chris Bulmer, Paul Davies, Nick Dunstone, Margaret Gordon, Sarah Ineson, Jason Kelly, Jamie Kettleborough, Jeff Knight, Julia Florence Lockwood, Adam A. Scaife, Doug Smith, Nicky Stringer, Brent Walker
{"title":"Predictability of European winter 2021/2022: Influence of La Niña and stratospheric polar vortex","authors":"Peter McLean,&nbsp;Chris Bulmer,&nbsp;Paul Davies,&nbsp;Nick Dunstone,&nbsp;Margaret Gordon,&nbsp;Sarah Ineson,&nbsp;Jason Kelly,&nbsp;Jamie Kettleborough,&nbsp;Jeff Knight,&nbsp;Julia Florence Lockwood,&nbsp;Adam A. Scaife,&nbsp;Doug Smith,&nbsp;Nicky Stringer,&nbsp;Brent Walker","doi":"10.1002/asl.1255","DOIUrl":null,"url":null,"abstract":"<p>The Northern Hemisphere winter of 2021/2022 exhibited a positive North Atlantic Oscillation (NAO) which led to largely mild and wet conditions for Northern Europe. A moderate La Niña in the tropical Pacific and a stronger than average stratospheric polar vortex together explained the observed anomalies over the winter. Winter 2021/2022 was well predicted in general by seasonal forecast systems. The ensemble mean indicated a positive winter NAO and the forecast spread of forecasts from the Met Office GloSea6 seasonal prediction system spanned the observed mean sea level pressure anomaly for the whole winter and the individual months. However, December showed the largest departure from the mean of the forecast which is consistent with evidence from previous work that early winter ENSO teleconnections are too weak in model predictions. Nevertheless, around one in four members captured the negative NAO pattern in December. The strong pressure gradient and positive NAO predicted for the latter part of the winter allowed successful warning of the possibility of above average storminess and strong winds which occurred in February 2022. This is potentially useful information for the energy sector who increasingly rely on wind power and the insurance industry for warning of storm damage.</p>","PeriodicalId":50734,"journal":{"name":"Atmospheric Science Letters","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2024-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/asl.1255","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Atmospheric Science Letters","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/asl.1255","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

The Northern Hemisphere winter of 2021/2022 exhibited a positive North Atlantic Oscillation (NAO) which led to largely mild and wet conditions for Northern Europe. A moderate La Niña in the tropical Pacific and a stronger than average stratospheric polar vortex together explained the observed anomalies over the winter. Winter 2021/2022 was well predicted in general by seasonal forecast systems. The ensemble mean indicated a positive winter NAO and the forecast spread of forecasts from the Met Office GloSea6 seasonal prediction system spanned the observed mean sea level pressure anomaly for the whole winter and the individual months. However, December showed the largest departure from the mean of the forecast which is consistent with evidence from previous work that early winter ENSO teleconnections are too weak in model predictions. Nevertheless, around one in four members captured the negative NAO pattern in December. The strong pressure gradient and positive NAO predicted for the latter part of the winter allowed successful warning of the possibility of above average storminess and strong winds which occurred in February 2022. This is potentially useful information for the energy sector who increasingly rely on wind power and the insurance industry for warning of storm damage.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
2021/2022 年欧洲冬季的可预测性:拉尼娜现象和平流层极地涡旋的影响
2021/2022 年北半球冬季的北大西洋涛动(NAO)呈正值,导致北欧大体温和湿润。热带太平洋中温和的拉尼娜现象和强于平均水平的平流层极地涡旋共同解释了冬季观测到的异常现象。季节预报系统对 2021/2022 年冬季的预测总体良好。集合平均值显示冬季北大西洋环流为正,气象局 GloSea6 季节预报系统的预报范围跨越了整个冬季和个别月份观测到的平均海平面气压异常。然而,12 月份与预测平均值的偏差最大,这与以往工作中的证据一致,即在模式预测中,初冬厄尔尼诺/南方涛动的远程联系太弱。尽管如此,约四分之一的成员在 12 月份捕捉到了负 NAO 模式。根据预测,冬季后半期将出现强气压梯度和正西北大西洋海洋环流,因此可以成功预警 2022 年 2 月可能出现的高于平均水平的风暴和强风。这对于越来越依赖风力发电的能源行业和预警风暴破坏的保险行业来说,都是潜在的有用信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
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.
期刊最新文献
Issue Information A simple subtropical high‐pressure system index over the South Atlantic Towards replacing precipitation ensemble predictions systems using machine learning Accuracy of daily extreme air temperatures under natural variations in thermometer screen ventilation Changing dynamics of Western European summertime cut‐off lows: A case study of the July 2021 flood event
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1