Hyperbolic map unravels eight regions in temperature volatility regionalization of China' Mainland

作     者：Yuxuan Song Changgui Gu Muhua Zheng Aixia Feng Yufei Xi Haiying Wang Huijie Yang 宋雨轩;顾长贵;郑木华;冯爱霞;席雨菲;王海英;杨会杰

作者机构：School of ManagementUniversity of Shanghai for Science and TechnologyShanghai 200093China School of Physics and Electronic EngineeringJiangsu UniversityZhenjiangJiangsu 212013China National Meteorological Information CenterChina Meteorological AdministrationBeijing 100081China 

出 版 物：《Chinese Physics B》 (中国物理B（英文版）)

年 卷 期：2024年第33卷第12期

页      面：526-534页

核心收录：

学科分类：07[理学] 070601[理学-气象学] 070104[理学-应用数学] 0706[理学-大气科学] 0701[理学-数学] 

基　　金：Project supported by the National Natural Science Foundation of China(Grant Nos.12275179 12005079 and 41975100) the Shanghai Natural Science Foundation of China(Grant No.21ZR1443900) Natural Science Foundation of Jiangsu Province(Grant No.BK20220511) the funding for Scientific Research Startup of Jiangsu University(Grant No.4111710001) and the Joint Research Project for Meteorological Capacity Improvement(Grant No.22NLTSZ004) 

主　　题：complex network hyperbolic embedding community detection regionalization 

摘      要：Abrupt temperature volatility has detrimental effects on daily activities,macroeconomic growth,and human *** abrupt temperature volatility and thus diminishing its negative impacts can be achieved by exploring homogeneous regions of temperature volatility and analyzing the driving *** investigate the regionalization of temperature volatility in China s mainland,a network constructed by the cosine similarity of temperature volatility series from China s mainland was embedded in hyperbolic ***,we partitioned the network on the hyperbolic map using the critical gap method and then found eight regions in ***,a network of communities was constructed while the interaction among communities was *** yields a perspective of temperature volatility regionalization that can accurately reflect factors including altitude,climate type,and the geographic location of *** analysis demonstrates that the regionalization in the hyperbolic map is distinct from provinces and has a realistic basis:communities in southwest China show strong correlations due to the temperature sensitivity to altitude,and communities in northern China show a convergence in the area of Dingxi,Gansu,mainly owing to the strong temperature sensitivity to climate *** a consequence,node distributions and community divisions in the hyperbolic map can offer new insights into the regionalization of temperature volatility in China s *** results demonstrate the potential of hyperbolic embedding of complex networks in forecasting future node associations in real-world data.