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Spatio-temporal Patterns of Hot Extremes in China Based on Complex Network Analysis

Climate dynamics(2023)

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Abstract
In the face of escalating frequency and severity of hot extreme (HE) events worldwide, understanding their spatio-temporal characteristics and hazard patterns has become crucial. This study employs a complex network (CN) approach, specifically using visibility graph and similarity network analysis, to investigate HEs. According to the HE network, we have successfully identified anomalous years, divided stages of change, selected representative cities, and zoned spatial hazard patterns of HE. Results reveal that 85
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Key words
Complex network,Hot extremes,Visibility Graph,Community detection,Hazard
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