Climate network percolation reveals the expansion and weakening of the tropical component under global warming
Jingfang Fan, Jun Meng, Yosef Ashkenazy, Shlomo Havlin, Hans Joachim, Schellnhuber

TL;DR
This study introduces a network-based percolation approach to analyze climate change impacts, revealing poleward expansion and weakening of the tropical climate zone under global warming scenarios, consistent with observed and modeled data.
Contribution
The paper develops a novel network and percolation framework to detect and quantify the poleward expansion of the tropical climate zone due to global warming, validated with observational and model data.
Findings
Discontinuous phase transition indicating tropical zone expansion
Poleward shift of the largest climate cluster
Weakening of atmospheric circulation links
Abstract
Global climate warming poses a significant challenge to humanity; it is associated with, e.g., rising sea level and declining Arctic sea ice. Increasing extreme events are also considered to be a result of climate warming~\cite{pachauri2014climate,ogorman_contrasting_2014} and they may have widespread and diverse effects on health, agriculture, economics and political conflicts \cite{hsiang2011civil,helbing_globally_2013,schleussner_armed-conflict_2016,carleton_social_2016}. Still, the detection and quantification of climate change, both in observations and climate models, constitute a main focus of the scientific community. Here we develop a new approach based on network and percolation frameworks \cite{cohen2010complex} to study the impacts of climate changes in the past decades using historical models and reanalysis records, and we analyze the expected upcoming impacts using various…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
