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首页> 外文期刊>Atmospheric chemistry and physics >The influence of the North Atlantic Oscillation and El Nino-Southern Oscillation on mean and extreme values of column ozone over the United States
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The influence of the North Atlantic Oscillation and El Nino-Southern Oscillation on mean and extreme values of column ozone over the United States

机译:北大西洋振荡和EL Nino-Southern振荡对美国专栏臭氧均值和极值的影响

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Continuous measurements of total ozone (by Dobson spectrophotometers) across the contiguous United States began in the early 1960s. Here, we analyze temporal and spatial variability and trends in total ozone from the five US sites with long-term records. While similar long-term ozone changes are detected at all five sites, we find differences in the patterns of ozone variability on shorter timescales. In addition to standard evaluation techniques, STL-decomposition methods (Seasonal Trend decomposition of time series based on LOESS (LOcally wEighted Scatterplot Smoothing)) are used to address temporal variability and "fingerprints" of dynamical features in the Dobson data. Methods from statistical extreme value theory (EVT) are used to characterize days with high and low total ozone (termed EHOs and ELOs, respectively) at each station and to analyze temporal changes in the frequency of ozone extremes and their relationship to dynamical features such as the North Atlantic Oscillation (NAO) and El Nino-Southern Oscillation. A comparison of the fingerprints detected in the frequency distribution of the extremes with those for standard metrics (i.e., the mean) shows that more fingerprints are found for the extremes, particularly for the positive phase of the NAO, at all five US monitoring sites. Results from the STL decomposition support the findings of the EVT analysis. Finally, we analyze the relative influence of low-and high-ozone events on seasonal mean column ozone at each station. The results show that the influence of ELOs and EHOs on seasonal mean column ozone can be as much as +/- 5 %, about as large as the overall long-term decadal ozone trends.
机译:在20世纪60年代初开始,在连续的美国连续臭氧(由多斯隆分光光度计)的连续测量开始。在这里,我们分析了来自五个美国网站的时间和空间变异性和臭氧的趋势,具有长期记录。虽然在所有五个站点检测到类似的长期臭氧变化,但我们发现较短的时间尺度上的臭氧变异模式的差异。除了标准评估技术之外,STL分解方法(基于黄土(本地加权散点图)的时间序列的季节性趋势分解)用于解决多别音数据中动态特征的时间变异性和“指纹”。统计极值理论(EVT)的方法用于在每个站点以高低总臭氧(分别称为EHOS和ELOS)的天数,并分析臭氧极端频率的时间变化及其与动态特征的关系,如北大西洋振荡(NAO)和El Nino-Southern振荡。与标准度量(即平均值)的极端频率分布中检测到的指纹的比较表明,在所有五个美国监测网站上发现了极端的极端指纹,特别是对于NAO的正相。 STL分解的结果支持EVT分析的结果。最后,我们分析了在每个站的季节性平均列臭氧对季节性平均列臭氧的相对影响。结果表明,ELOS和EHOS对季节性平均柱臭氧的影响可以高达+/- 5%,大约是整体长期臭氧趋势。

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