Driving Force of Total Ozone in the Northern Midlatitudes: An Analysis based on Data from Two Stations

Jingmei Yang
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引用次数: 1

Abstract

In this paper, the slow feature analysis (SFA) method is employed to derive driving forces from the long-term monthly mean total ozone time series observed in two ground-based stations in the northern mid-latitudes. The wavelet transformation technique is then used to analyze the time scale structure of the derived driving forces. The slow feature analysis results show that the explosive volcanic eruptions have a significant influence on short-term ozone changes. The wavelet analysis results indicate that the driving forces of total ozone time series exhibit different time scale variations, which are mainly associated with solar activity cycles and quasi-biennial oscillation (QBO) cycles.
华北中纬度地区臭氧总量的驱动力:基于两站数据的分析
本文采用慢特征分析(SFA)方法,对中纬度北部两个地面站观测的长期月平均臭氧总量时间序列进行了驱动力推导。然后利用小波变换技术对导出的驱动力的时间尺度结构进行分析。缓慢特征分析结果表明,火山爆发对臭氧的短期变化有显著影响。小波分析结果表明,臭氧总量时间序列驱动力表现出不同的时间尺度变化,主要与太阳活动周期和准两年振荡周期有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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