Abstract

The Arctic’s rapid sea ice decline may influence global weather patterns, making the understanding of Arctic weather variability (WV) vital for accurate weather forecasting and analyzing extreme weather events. Quantifying this WV and its impacts under human-induced climate change remains a challenge. Here we develop a complexity-based approach and discover a strong statistical correlation between intraseasonal WV in the Arctic and the Arctic Oscillation. Our findings highlight an increased variability in daily Arctic sea ice, attributed to its decline accelerated by global warming. This weather instability can influence broader regional patterns via atmospheric teleconnections, elevating risks to human activities and weather forecast predictability. Our analyses reveal these teleconnections and a positive feedback loop between Arctic and global weather instabilities, offering insights into how Arctic changes affect global weather. This framework bridges complexity science, Arctic WV, and its widespread implications.

The authors use a complexity-based approach to analyze Arctic weather variability. They identify a pronounced link between the Arctic’s shrinking sea ice and global weather patterns, underscoring the critical role of the Arctic in shaping global climate.

Details

Title
Arctic weather variability and connectivity
Author
Meng, Jun 1 ; Fan, Jingfang 2   VIAFID ORCID Logo  ; Bhatt, Uma S. 3   VIAFID ORCID Logo  ; Kurths, Jürgen 4   VIAFID ORCID Logo 

 Beijing University of Posts and Telecommunications, School of Science, Beijing, China (GRID:grid.31880.32) (ISNI:0000 0000 8780 1230) 
 Beijing Normal University, School of Systems Science/Institute of Nonequilibrium Systems, Beijing, China (GRID:grid.20513.35) (ISNI:0000 0004 1789 9964); Potsdam Institute for Climate Impact Research, Potsdam, Germany (GRID:grid.4556.2) (ISNI:0000 0004 0493 9031) 
 University of Alaska Fairbanks, Geophysical Institute, Department of Atmospheric Sciences, Fairbanks, USA (GRID:grid.70738.3b) (ISNI:0000 0004 1936 981X); University of Alaska Fairbanks, College of Natural Sciences and Mathematics, Fairbanks, USA (GRID:grid.70738.3b) (ISNI:0000 0004 1936 981X) 
 Potsdam Institute for Climate Impact Research, Potsdam, Germany (GRID:grid.4556.2) (ISNI:0000 0004 0493 9031); University of Alaska Fairbanks, Geophysical Institute, Department of Atmospheric Sciences, Fairbanks, USA (GRID:grid.70738.3b) (ISNI:0000 0004 1936 981X); University of Alaska Fairbanks, College of Natural Sciences and Mathematics, Fairbanks, USA (GRID:grid.70738.3b) (ISNI:0000 0004 1936 981X); Humboldt-University, Institute of Physics, Berlin, Germany (GRID:grid.7468.d) (ISNI:0000 0001 2248 7639) 
Pages
6574
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2878558367
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.