globalchange  > 气候变化与战略
DOI: 10.1029/2019GL086507
论文题名:
Rossby Waves Detection in the CO2 and Temperature Multilayer Climate Network
作者: Ying N.; Zhou D.; Han Z.G.; Chen Q.H.; Ye Q.; Xue Z.G.
刊名: Geophysical Research Letters
ISSN: 948276
出版年: 2020
卷: 47, 期:2
语种: 英语
英文关键词: mid-troposphere CO2 concentrations ; multilayer climate network ; Rossby waves ; surface air temperature
Scopus关键词: Atmospheric chemistry ; Atmospheric temperature ; Complex networks ; Global warming ; Mechanical waves ; Multilayers ; Probability density function ; Probability distributions ; Atmospheric carbon dioxide ; CO2 concentration ; Global surface air temperature ; Power law distribution ; Probability density function (pdf) ; Rossby wave ; Spatiotemporal distributions ; Surface air temperatures ; Carbon dioxide ; air temperature ; carbon dioxide ; concentration (composition) ; detection method ; probability density function ; Rossby wave ; troposphere
英文摘要: Increasing atmospheric carbon dioxide (CO2) is the main factor of global warming. Carbon satellites have proven that CO2 concentrations have nonuniform spatio-temporal distributions. The relationship between unevenly distributed CO2 and global surface air temperature (SAT) is seldom known. The success of complex networks provides an opportunity to address this issue. This paper proposes a multilayer climate network approach to identify the impacts of nonuniform CO2 on SAT. The results show that the probability density function (PDF) of degrees, weighted degrees, and link lengths follows power-law distributions. A large fraction of strong correlation links resides in proximal distance (smaller than 2,000 km), indicating that CO2 nodes are strongly connected to the surrounding SAT nodes. The enhanced distributions of large positive weights, time delays, and degree patterns are all consistent with the properties of Rossby waves. This framework can be useful for predicting future climate changes and policy-making for carbon reduction. ©2020. American Geophysical Union. All Rights Reserved.
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/160006
Appears in Collections:气候变化与战略

Files in This Item:

There are no files associated with this item.


作者单位: China State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China; School of Reliability and Systems Engineering, Beihang University, Beijing, China; National Key Laboratory of Science and Technology on Reliability and Environmental Engineering, Beijing, China; School of Systems Science, Beijing Normal University, Beijing, China; Faculty of Geographical Science, Beijing Normal University, Beijing, China

Recommended Citation:
Ying N.,Zhou D.,Han Z.G.,et al. Rossby Waves Detection in the CO2 and Temperature Multilayer Climate Network[J]. Geophysical Research Letters,2020-01-01,47(2)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Ying N.]'s Articles
[Zhou D.]'s Articles
[Han Z.G.]'s Articles
百度学术
Similar articles in Baidu Scholar
[Ying N.]'s Articles
[Zhou D.]'s Articles
[Han Z.G.]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Ying N.]‘s Articles
[Zhou D.]‘s Articles
[Han Z.G.]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.