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首页> 外文期刊>Advances in Adaptive Data Analysis >FUNDAMENTAL MODES OF ATMOSPHERIC CFC-11 FROM EMPIRICAL MODE DECOMPOSITION
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FUNDAMENTAL MODES OF ATMOSPHERIC CFC-11 FROM EMPIRICAL MODE DECOMPOSITION

机译:从经验模态分解看大气CFC-11的基本模式

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Following an initial growth, the concentrations of chlorofluorocarbon-11 (CFC-11) in the atmosphere started to decline in the 1990's due to world-wide legislative control on emissions. The amplitude of the annual cycle of CFC-11 was much larger in the earlier period compared with that in the later period. We apply here the Ensemble Empirical Mode Decomposition (EEMD) analysis to the CFC-11 data obtained by the U.S. National Oceanic and Atmospheric Administration. The sum of the second and third intrinsic mode functions (IMFs) represents the annual cycle, which shows that the annual cycle of CFC-11 has varied by a factor of 2-3 from the mid-1970's to the present over polar regions. The results provide an illustration of the power of the EEMD method in extracting a variable annual cycle from data dominated by increasing and decreasing trends. Finally, we compare the annual cycle obtained by the EEMD analysis to that obtained using conventional methods such as Fourier transforms and running averages.
机译:在最初的增长之后,由于世界范围内对排放物的立法控制,1990年代大气中的氯氟烃11(CFC-11)浓度开始下降。与后期相比,CFC-11的年度周期幅度要大得多。我们在这里将整体经验模式分解(EEMD)分析应用于美国国家海洋和大气管理局获得的CFC-11数据。第二和第三本征模式函数(IMF)的总和表示年度周期,这表明CFC-11的年度周期从1970年代中期到现在的极地地区变化了2-3倍。结果说明了EEMD方法在从以上升和下降趋势为主的数据中提取可变的年周期的能力。最后,我们将通过EEMD分析获得的年度周期与使用传统方法(例如傅立叶变换和移动平均值)获得的年度周期进行比较。

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