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(School of Management,University of Shanghai for Science and Technology,Shanghai 200093,China;School of Physics and Electronic Engineering,Jiangsu University,Zhenjiang,Jiangsu 212013,China;National Meteorological Information Center,China Meteorological Administration,Beijing 100081,China)

机构地区：[1]School of Management,University of Shanghai for Science and Technology,Shanghai 200093,China [2]School of Physics and Electronic Engineering,Jiangsu University,Zhenjiang,Jiangsu 212013,China [3]National Meteorological Information Center,China Meteorological Administration,Beijing 100081,China

出　　处：《Chinese Physics B》2024年第12期526-534,共9页中国物理B（英文版）

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).

摘　　要：Abrupt temperature volatility has detrimental effects on daily activities,macroeconomic growth,and human health.Predicting abrupt temperature volatility and thus diminishing its negative impacts can be achieved by exploring homogeneous regions of temperature volatility and analyzing the driving factors.To 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 space.Subsequently,we partitioned the network on the hyperbolic map using the critical gap method and then found eight regions in all.Ultimately,a network of communities was constructed while the interaction among communities was quantified.This yields a perspective of temperature volatility regionalization that can accurately reflect factors including altitude,climate type,and the geographic location of mountains.Further 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 types.As a consequence,node distributions and community divisions in the hyperbolic map can offer new insights into the regionalization of temperature volatility in China's mainland.The results demonstrate the potential of hyperbolic embedding of complex networks in forecasting future node associations in real-world data.

关 键 词：complex network hyperbolic embedding community detection REGIONALIZATION 

分 类 号：P423[天文地球—大气科学及气象学] O157.5[理学—数学]