ENSO and greenhouse warming

气候学 环境科学 气候变化 厄尔尼诺南方涛动 全球变暖 气候模式 极端天气 太平洋十年振荡 温室气体 气候突变 大气科学 全球变暖的影响 海洋学 地质学
作者
Wenju Cai,Agus Santoso,Guojian Wang,Sang‐Wook Yeh,Soon‐Il An,K. M. Cobb,Matthew Collins,Éric Guilyardi,Fei‐Fei Jin,Jong‐Seong Kug,Matthieu Lengaigne,Michael J. McPhaden,K. Takahashi,Axel Timmermann,Gabriel A. Vecchi,Masahiro Watanabe,Lixin Wu
出处
期刊:Nature Climate Change [Springer Nature]
卷期号:5 (9): 849-859 被引量:787
标识
DOI:10.1038/nclimate2743
摘要

This Review looks at the state of knowledge on the El Niño/Southern Oscillation (ENSO), a natural climate phenomenon. It discusses recent advances and insights into how climate change will affect this natural climate varibility cycle. The El Niño/Southern Oscillation (ENSO) is the dominant climate phenomenon affecting extreme weather conditions worldwide. Its response to greenhouse warming has challenged scientists for decades, despite model agreement on projected changes in mean state. Recent studies have provided new insights into the elusive links between changes in ENSO and in the mean state of the Pacific climate. The projected slow-down in Walker circulation is expected to weaken equatorial Pacific Ocean currents, boosting the occurrences of eastward-propagating warm surface anomalies that characterize observed extreme El Niño events. Accelerated equatorial Pacific warming, particularly in the east, is expected to induce extreme rainfall in the eastern equatorial Pacific and extreme equatorward swings of the Pacific convergence zones, both of which are features of extreme El Niño. The frequency of extreme La Niña is also expected to increase in response to more extreme El Niños, an accelerated maritime continent warming and surface-intensified ocean warming. ENSO-related catastrophic weather events are thus likely to occur more frequently with unabated greenhouse-gas emissions. But model biases and recent observed strengthening of the Walker circulation highlight the need for further testing as new models, observations and insights become available.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
0324发布了新的文献求助10
1秒前
1秒前
2秒前
wjx发布了新的文献求助10
3秒前
百里如雪完成签到,获得积分10
5秒前
彭于晏应助Jackmql采纳,获得30
5秒前
充电宝应助优雅斩采纳,获得10
7秒前
璐宝发布了新的文献求助10
7秒前
英姑应助兴奋的果汁采纳,获得10
7秒前
飘雪发布了新的文献求助10
9秒前
Lucas应助大阿申采纳,获得30
9秒前
11秒前
鹿叽叽发布了新的文献求助10
12秒前
12秒前
reflux应助正直的静竹采纳,获得10
13秒前
Lucas应助缥缈梦柏采纳,获得10
13秒前
木子完成签到,获得积分10
13秒前
zhao完成签到,获得积分10
14秒前
JamesPei应助飘雪采纳,获得10
14秒前
完美世界应助天真的千柔采纳,获得10
14秒前
林林完成签到,获得积分10
14秒前
egg完成签到,获得积分10
14秒前
reflux举报wucl1990求助涉嫌违规
14秒前
15秒前
郑雪红发布了新的文献求助30
16秒前
科研通AI5应助Silence采纳,获得10
16秒前
大阿申完成签到,获得积分20
16秒前
18秒前
20秒前
20秒前
20秒前
20秒前
从容迎南发布了新的文献求助10
20秒前
deng20065完成签到,获得积分10
20秒前
方圆学术完成签到,获得积分10
20秒前
21秒前
SciGPT应助5165asd采纳,获得10
21秒前
21秒前
蒋大富发布了新的文献求助10
22秒前
reflux举报小犬求助涉嫌违规
22秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Mechanistic Modeling of Gas-Liquid Two-Phase Flow in Pipes 2500
Kelsen’s Legacy: Legal Normativity, International Law and Democracy 1000
Conference Record, IAS Annual Meeting 1977 610
Interest Rate Modeling. Volume 3: Products and Risk Management 600
Interest Rate Modeling. Volume 2: Term Structure Models 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3542598
求助须知:如何正确求助?哪些是违规求助? 3119973
关于积分的说明 9341143
捐赠科研通 2818043
什么是DOI,文献DOI怎么找? 1549287
邀请新用户注册赠送积分活动 722093
科研通“疑难数据库(出版商)”最低求助积分说明 712928