Anaylsis of rainfall relationships in East Asia using a complex network Article Swipe
YOU?
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· 2021
· Open Access
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· DOI: https://doi.org/10.5194/hess-2021-343
· OA: W3189706060
Concurrent floods in multiple locations pose systemic risks to the interconnected economy in East Asia through supply chains. Despite the significant economic impacts, however, the understanding of the interconnection between rainfall patterns in the region is yet limited. Here, we analyzed spatial dependence in rainfall patterns of the 24 mega-cities in the region by means of complex analysis theory and discussed the technique’s its applicability. Each city and correlation coefficient was represented by a node and a link, respectively. Vital node identification and clustering analysis were conducted using adjacency information entropy and multi-community detection. The groups were clustered to reflect the spatial characteristics of climate. In addition, the climate links between each group were identified through the cross-mutual information considering the delay time for each group. It was concluded that the complex network analysis can be a useful method for analyzing spatial relationship between climate factors.
