Arctic springtime temperature and energy flux interannual variability is driven by 1- to 2-week frequency atmospheric events

IF 6.1 1区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Weather and Climate Extremes Pub Date : 2024-02-09 DOI:10.1016/j.wace.2024.100650
Raleigh Grysko , Jin-Soo Kim , Gabriela Schaepman-Strub
{"title":"Arctic springtime temperature and energy flux interannual variability is driven by 1- to 2-week frequency atmospheric events","authors":"Raleigh Grysko ,&nbsp;Jin-Soo Kim ,&nbsp;Gabriela Schaepman-Strub","doi":"10.1016/j.wace.2024.100650","DOIUrl":null,"url":null,"abstract":"<div><p>The Arctic is experiencing amplified climate warming, decreasing sea ice extent, increasingly earlier springtime snowmelt, and a related increase in fire activity. The transition from cold to warm season in the Arctic strongly varies between years, but our understanding of temperature and surface energy budget changes over the springtime is limited. Here we investigate intraseasonal variability of Arctic springtime temperature and surface energy budget components and their interannual trends over 40 years (1981–2020) across the terrestrial Arctic (above 60° N) using ERA5-Land reanalysis data. We found the central and western Siberian regions to have the highest interannual variability in spring temperature anomaly among all Arctic regions during the 40-year period. Also in this region, we discovered the strength increased for heat extremes and decreased for cold extremes when comparing the first and the last 20 years of our study. Peaks in composited extreme temperature and surface energy budget anomalies were observed to occur concurrently, indicating temperature extremes are not driven by surface energy budget components. Lastly, by utilizing power spectrum analyses, we identified the primary driver of temperature anomaly interannual variability to be operating at a 1- to 2-week frequency. Based on our findings and observations in the recent literature, we hypothesize that the observed interannual variability in springtime temperature can be attributed to increased Arctic sea ice decline and an increase in the frequency and strength of associated atmospheric blocking events.</p></div>","PeriodicalId":48630,"journal":{"name":"Weather and Climate Extremes","volume":"43 ","pages":"Article 100650"},"PeriodicalIF":6.1000,"publicationDate":"2024-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2212094724000112/pdfft?md5=dd03c1e25c32f539c67defb90e4d3bca&pid=1-s2.0-S2212094724000112-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Weather and Climate Extremes","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212094724000112","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

The Arctic is experiencing amplified climate warming, decreasing sea ice extent, increasingly earlier springtime snowmelt, and a related increase in fire activity. The transition from cold to warm season in the Arctic strongly varies between years, but our understanding of temperature and surface energy budget changes over the springtime is limited. Here we investigate intraseasonal variability of Arctic springtime temperature and surface energy budget components and their interannual trends over 40 years (1981–2020) across the terrestrial Arctic (above 60° N) using ERA5-Land reanalysis data. We found the central and western Siberian regions to have the highest interannual variability in spring temperature anomaly among all Arctic regions during the 40-year period. Also in this region, we discovered the strength increased for heat extremes and decreased for cold extremes when comparing the first and the last 20 years of our study. Peaks in composited extreme temperature and surface energy budget anomalies were observed to occur concurrently, indicating temperature extremes are not driven by surface energy budget components. Lastly, by utilizing power spectrum analyses, we identified the primary driver of temperature anomaly interannual variability to be operating at a 1- to 2-week frequency. Based on our findings and observations in the recent literature, we hypothesize that the observed interannual variability in springtime temperature can be attributed to increased Arctic sea ice decline and an increase in the frequency and strength of associated atmospheric blocking events.

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
北极春季温度和能量通量年际变化受 1 至 2 周频率的大气事件驱动
北极地区正经历着气候变暖、海冰面积减少、春季融雪时间提前以及火灾活动增加等一系列问题。北极地区从寒冷季节向温暖季节的过渡在不同年份之间变化很大,但我们对春季气温和地表能量收支变化的了解却很有限。在此,我们利用ERA5-Land 再分析数据研究了北极陆地(北纬 60 度以上)春季温度和地表能量收支成分的季内变化及其 40 年(1981-2020 年)的年际趋势。我们发现,在这 40 年间,西伯利亚中部和西部地区的春季温度异常年际变化率在所有北极地区中最高。同样是在这一地区,我们发现在研究的前 20 年和后 20 年中,极端高温的强度增加了,极端低温的强度降低了。据观察,极端气温和地表能量收支异常的复合峰值同时出现,这表明极端气温并非由地表能量收支成分驱动。最后,通过功率谱分析,我们确定了温度异常年际变化的主要驱动因素是以 1 到 2 周的频率运行。根据我们的研究结果和近期文献中的观测结果,我们假设春季气温的年际变化可归因于北极海冰减少以及相关大气阻塞事件的频率和强度增加。
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
Weather and Climate Extremes
Weather and Climate Extremes Earth and Planetary Sciences-Atmospheric Science
CiteScore
11.00
自引率
7.50%
发文量
102
审稿时长
33 weeks
期刊介绍: Weather and Climate Extremes Target Audience: Academics Decision makers International development agencies Non-governmental organizations (NGOs) Civil society Focus Areas: Research in weather and climate extremes Monitoring and early warning systems Assessment of vulnerability and impacts Developing and implementing intervention policies Effective risk management and adaptation practices Engagement of local communities in adopting coping strategies Information and communication strategies tailored to local and regional needs and circumstances
期刊最新文献
Triggers of inland heavy rainfall inducing convective storms in West Africa : Case study of June, 2021 Spatiotemporal variation of intra-urban heat and heatwaves across Greater Sydney, Australia Projecting impacts of extreme weather events on crop yields using LASSO regression Moisture sources for the unprecedented precipitation event in the heart of Taklimakan desert China is suffering from fewer but more severe drought to flood abrupt alternation events
×
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