Based on graph theory and statistical physics, complex network research characterizes the connection topologies of various real-world systems and investigates their structural features, dynamic evolution, propagation synchronization, robustness and control laws.
Complex networks construct analytical frameworks based on graph theory, statistical physics and nonlinear dynamics, abstracting real-world systems such as atmosphere, climate and ecology into network models composed of nodes and edges. Research contents include the calculation of topological indicators such as degree distribution, clustering coefficient and centrality. Multi-layer networks, temporal networks and percolation theory are also adopted to describe internal coupling relationships within systems. This methodology excels at mining interaction rules between system elements, identifying pivotal hub nodes, partitioning sub-regions of systems, and simulating dynamic processes including cascading transmission of climate events and synchronous responses of extreme climates.
Combined with observational climate data for empirical analysis, this approach quantifies propagation pathways and action intensity of phenomena such as global warming, El Niño and climate tipping points. It serves as a quantitative analytical tool for understanding nonlinear abrupt changes of the Earth system and linked climate risks across regions.
The domino effect of climate tipping points: a multidisciplinary perspective on global risks
This paper explores the cascading domino effect triggered by climate tipping points and analyzes corresponding global risks from a multidisciplinary comprehensive perspective.
Dry soil moisture on the Tibetan plateau drives synchronous extreme heatwaves in Europe and East Asia
This study reveals that low soil moisture over the Tibetan Plateau can trigger synchronous extreme heatwaves in Europe and East Asia.
Climate network percolation reveals the expansion and weakening of the tropical component under global warming
This paper adopts climate network percolation theory to uncover that tropical climate systems expand in scope under global warming while their internal correlation intensity declines.
Network analysis reveals strongly localized impacts of El Niño
This paper uses network analysis to find that El Niño impacts exhibit distinctly strong localized features.
