Multifractal detrended moving average analysis of global temperature records
作者： Provash Mali
DOI: 10.1088/1742-5468/2016/01/013201
关键词:
摘要: Multifractal structure of global monthly mean temperature anomaly time series over the period 1850-2012 are studied in terms multifractal detrended moving average (MFDMA) analysis. We try to address possible source(s) and nature multifractality data by comparing results derived from actual with those a set shuffled surrogate series. It is seen that MFDMA method predicts records more or less similar what was obtained analysis for same data. In our major contribution found be due long-range temporal correlation among measurements, however fat-tail distribution function variables not negligible. The existence also confirmed constancy local slopes fluctuation sufficient scale intervals. depend upon location detrending window tend observations specific choice window.
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