Extreme weather events, rare yet profoundly impactful, are often accompanied by severe conditions. Increasing global temperatures are poised to exacerbate these events, resulting in greater human casualties, economic losses, and ecological destruction. Complex global climate interactions, known as teleconnections, can lead to widespread repercussions triggered by localized extreme weather. Understanding these teleconnection patterns is crucial for weather forecasting, enhancing safety, and advancing climate science. Here, we employ climate network analysis to uncover teleconnection patterns associated with extreme day-to-day temperature differences, including both extreme warming and cooling events occurring on a daily basis. Our study results demonstrate that the distances of significant teleconnections initially conform to a power-law decay, signifying a decline in connectivity with distance. However, this power-law decay tendency breaks beyond a certain threshold distance, suggesting the existence of long-distance connections. Additionally, we uncover a greater prevalence of long-distance connectivity among extreme cooling events compared to extreme warming events. The global pattern of teleconnections is, in part, likely driven by the mechanism of Rossby waves, which serve as a rapid conduit for inducing correlated fluctuations in both pressure and temperature. These results enhance our understanding of the multiscale nature of climate teleconnections and hold significant implications for improving weather forecasting and assessing climate risks in a warming world.
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June 2025
Research Article|
June 17 2025
Global patterns of extreme temperature teleconnections using climate network analysis

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Yuhao Feng
;
Yuhao Feng
(Software, Visualization, Writing – original draft)
1
School of Science, Beijing University of Posts and Telecommunications
, Beijing 100876, China
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Jun Meng
;
Jun Meng
a)
(Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing)
2
State Key Laboratory of Earth System Numerical Modeling and Application, Institute of Atmospheric Physics, Chinese Academy of Sciences
, Beijing 100029, China
b)Author to whom correspondence should be addressed: [email protected]
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Jingfang Fan
Jingfang Fan
b)
(Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing)
3
School of Systems Science/Institute of Nonequilibrium Systems, Beijing Normal University
, Beijing 100875, China
4
Potsdam Institute for Climate Impact Research
, Potsdam 14412, Germany
Search for other works by this author on:
Yuhao Feng
1
Jun Meng
2,a)
Jingfang Fan
3,4,b)
1
School of Science, Beijing University of Posts and Telecommunications
, Beijing 100876, China
2
State Key Laboratory of Earth System Numerical Modeling and Application, Institute of Atmospheric Physics, Chinese Academy of Sciences
, Beijing 100029, China
3
School of Systems Science/Institute of Nonequilibrium Systems, Beijing Normal University
, Beijing 100875, China
4
Potsdam Institute for Climate Impact Research
, Potsdam 14412, Germany
b)Author to whom correspondence should be addressed: [email protected]
a)
Electronic mail: [email protected]
Chaos 35, 061106 (2025)
Article history
Received:
April 16 2025
Accepted:
May 15 2025
Connected Content
A companion article has been published:
Extreme climate events have long-ranging impacts
Citation
Yuhao Feng, Jun Meng, Jingfang Fan; Global patterns of extreme temperature teleconnections using climate network analysis. Chaos 1 June 2025; 35 (6): 061106. https://doi.org/10.1063/5.0276151
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