气候变化中的ENSO

C. Karamperidou, M. Stuecker, A. Timmermann, K. Yun, Sun‐Seon Lee, F. Jin, A. Santoso, M. Mcphaden, W. Cai
{"title":"气候变化中的ENSO","authors":"C. Karamperidou, M. Stuecker, A. Timmermann, K. Yun, Sun‐Seon Lee, F. Jin, A. Santoso, M. Mcphaden, W. Cai","doi":"10.1002/9781119548164.ch21","DOIUrl":null,"url":null,"abstract":"The El Niño–Southern Oscillation (ENSO) phenomenon is a naturally occurring climate fluctuation, which originates in the tropical Pacific region and affects ecosystems, agriculture, freshwater supplies, hurricanes and other severe weather events worldwide (Goddard and Dilley 2005; McPhaden et al. 2006). Despite considerable progress in our understanding of the impact of climate change on many of the processes that contribute to ENSO variability (e.g., Collins et al. 2010), it is not yet possible to say whether ENSO activity will be enhanced or damped, or if the frequency or character of events will change in the coming decades (Vecchi and Wittenberg 2010). As changes in ENSO have the potential to be one of the largest manifestations of anthropogenic climate change, this status has profound impacts on the reliability of regional attribution of climate variability and change. Two main reasons can be invoked for these shortcomings. First there is a lack of long and comprehensive enough observations of the various ENSO processes to be able to detect past changes. It may be that we need to observe ENSO for another several decades to detect and attribute significant ENSO changes (Wittenberg 2009; Stevenson et al. 2012). Second, as ENSO involves a complex interplay of numerous ocean and atmospheric processes, accurately modeling this climate phenomenon with CGCMs, and understanding, anticipating, and predicting its behaviour on seasonal to decadal and longer time scales still pose formidable challenges (Guilyardi et al. 2009). Even though the ability of CGCMs to simulate El Niño has largely improved over the last few years, the diversity of model simulations of present-day El Niño characteristics indicate current limitations in our ability to model this climate phenomenon and anticipate changes in its properties on short and long time scales.","PeriodicalId":12539,"journal":{"name":"Geophysical monograph","volume":"12 1","pages":"471-484"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"ENSO in a Changing Climate\",\"authors\":\"C. Karamperidou, M. Stuecker, A. Timmermann, K. Yun, Sun‐Seon Lee, F. Jin, A. Santoso, M. Mcphaden, W. Cai\",\"doi\":\"10.1002/9781119548164.ch21\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The El Niño–Southern Oscillation (ENSO) phenomenon is a naturally occurring climate fluctuation, which originates in the tropical Pacific region and affects ecosystems, agriculture, freshwater supplies, hurricanes and other severe weather events worldwide (Goddard and Dilley 2005; McPhaden et al. 2006). Despite considerable progress in our understanding of the impact of climate change on many of the processes that contribute to ENSO variability (e.g., Collins et al. 2010), it is not yet possible to say whether ENSO activity will be enhanced or damped, or if the frequency or character of events will change in the coming decades (Vecchi and Wittenberg 2010). As changes in ENSO have the potential to be one of the largest manifestations of anthropogenic climate change, this status has profound impacts on the reliability of regional attribution of climate variability and change. Two main reasons can be invoked for these shortcomings. First there is a lack of long and comprehensive enough observations of the various ENSO processes to be able to detect past changes. It may be that we need to observe ENSO for another several decades to detect and attribute significant ENSO changes (Wittenberg 2009; Stevenson et al. 2012). Second, as ENSO involves a complex interplay of numerous ocean and atmospheric processes, accurately modeling this climate phenomenon with CGCMs, and understanding, anticipating, and predicting its behaviour on seasonal to decadal and longer time scales still pose formidable challenges (Guilyardi et al. 2009). Even though the ability of CGCMs to simulate El Niño has largely improved over the last few years, the diversity of model simulations of present-day El Niño characteristics indicate current limitations in our ability to model this climate phenomenon and anticipate changes in its properties on short and long time scales.\",\"PeriodicalId\":12539,\"journal\":{\"name\":\"Geophysical monograph\",\"volume\":\"12 1\",\"pages\":\"471-484\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geophysical monograph\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1002/9781119548164.ch21\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geophysical monograph","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/9781119548164.ch21","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

摘要

El Niño-Southern涛动(ENSO)现象是一种自然发生的气候波动,它起源于热带太平洋地区,影响全球的生态系统、农业、淡水供应、飓风和其他恶劣天气事件(Goddard and Dilley 2005;McPhaden et al. 2006)。尽管我们对气候变化对导致ENSO变率的许多过程的影响的理解取得了相当大的进展(例如,Collins等人,2010),但尚无法确定ENSO活动是否会增强或减弱,或者未来几十年ENSO活动的频率或特征是否会发生变化(Vecchi和Wittenberg, 2010)。由于ENSO的变化有可能成为人为气候变化的最大表现之一,这种状态对气候变率和变化的区域归因的可靠性具有深远的影响。这些缺点有两个主要原因。首先,缺乏对各种ENSO过程的长期和全面的观测,无法探测到过去的变化。我们可能需要再观察ENSO几十年,以探测和归因于显著的ENSO变化(Wittenberg 2009;Stevenson et al. 2012)。其次,由于ENSO涉及许多海洋和大气过程的复杂相互作用,用cccms准确地模拟这种气候现象,并理解、预测和预测其在季节到十年和更长时间尺度上的行为仍然构成巨大的挑战(Guilyardi et al. 2009)。尽管在过去几年中,cccms模拟El Niño的能力有了很大的提高,但当前El Niño特征的模式模拟的多样性表明,我们目前在模拟这种气候现象和预测其短期和长期性质变化方面的能力存在局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
ENSO in a Changing Climate
The El Niño–Southern Oscillation (ENSO) phenomenon is a naturally occurring climate fluctuation, which originates in the tropical Pacific region and affects ecosystems, agriculture, freshwater supplies, hurricanes and other severe weather events worldwide (Goddard and Dilley 2005; McPhaden et al. 2006). Despite considerable progress in our understanding of the impact of climate change on many of the processes that contribute to ENSO variability (e.g., Collins et al. 2010), it is not yet possible to say whether ENSO activity will be enhanced or damped, or if the frequency or character of events will change in the coming decades (Vecchi and Wittenberg 2010). As changes in ENSO have the potential to be one of the largest manifestations of anthropogenic climate change, this status has profound impacts on the reliability of regional attribution of climate variability and change. Two main reasons can be invoked for these shortcomings. First there is a lack of long and comprehensive enough observations of the various ENSO processes to be able to detect past changes. It may be that we need to observe ENSO for another several decades to detect and attribute significant ENSO changes (Wittenberg 2009; Stevenson et al. 2012). Second, as ENSO involves a complex interplay of numerous ocean and atmospheric processes, accurately modeling this climate phenomenon with CGCMs, and understanding, anticipating, and predicting its behaviour on seasonal to decadal and longer time scales still pose formidable challenges (Guilyardi et al. 2009). Even though the ability of CGCMs to simulate El Niño has largely improved over the last few years, the diversity of model simulations of present-day El Niño characteristics indicate current limitations in our ability to model this climate phenomenon and anticipate changes in its properties on short and long time scales.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Interpreting Magma Dynamics Through a Statistically Refined Thermometer Geothermobarometry of Mafic and Ultramafic Xenoliths Magma Differentiation and Contamination Insights Into Processes and Timescales of Magma Storage and Ascent From Textural and Geochemical Investigations Anatomy of Intraplate Monogenetic Alkaline Basaltic Magmatism
×
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