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On the basis of detrended fluctuation analysis (DFA), a new method, moving cut data‐DFA (MC‐DFA), was presented to detect abrupt dynamic change in correlated time series. The numerical tests show the capability of the presented method to detect abrupt change time‐instants in model time series generated by Logistic map. Moving DFA (MDFA) and approximate entropy (ApEn) can provide some information such as a single time‐instant o...
Effects of regional warming on extreme monthly low temperatures distribution in ChinaNARA Subscribed
Using generalised Pareto distribution (GPD) function, the regional characteristic of extreme monthly low temperatures (EMLT) distribution during 1960‐2007 in China is studied, and the potential impact of climate warming on EMLT regions in China is analysed. The results show that EMLT space distribution has latitudinal difference in China. Higher‐value EMLT events are likely to happen in northeastern and southwestern China, whi...