首页> 外文期刊>Atmospheric chemistry and physics >On the relationship between total ozone and atmospheric dynamics and chemistry at mid-latitudes-Part 1: Statistical models and spatial fingerprints of atmospheric dynamics and chemistry
【24h】

On the relationship between total ozone and atmospheric dynamics and chemistry at mid-latitudes-Part 1: Statistical models and spatial fingerprints of atmospheric dynamics and chemistry

机译:中纬度地区总臭氧与大气动力学与化学的关系第1部分:大气动力学与化学的统计模型和空间指纹

获取原文
获取原文并翻译 | 示例
           

摘要

We use statistical models for mean and extreme values of total column ozone to analyze "fingerprints" of atmospheric dynamics and chemistry on long-term ozone changes at northern and southern mid-latitudes on grid cell basis. At each grid cell, the r-largest order statistics method is used for the analysis of extreme events in low and high total ozone (termed ELOs and EHOs, respectively), and an autoregressive moving average (ARMA) model is used for the corresponding mean value analysis. In order to describe the dynamical and chemical state of the atmosphere, the statistical models include important atmospheric covariates: the solar cycle, the Quasi-Biennial Oscillation (QBO), ozone depleting substances (ODS) in terms of equivalent effective stratospheric chlorine (EESC), the North Atlantic Oscillation (NAO), the Antarctic Oscillation (AAO), the El Ni?o/Southern Oscillation (ENSO), and aerosol load after the volcanic eruptions of El Chichón and Mt. Pinatubo. The influence of the individual covariates on mean and extreme levels in total column ozone is derived on a grid cell basis. The results show that "fingerprints", i.e., significant influence, of dynamical and chemical features are captured in both the "bulk" and the tails of the statistical distribution of ozone, respectively described by mean values and EHOs/ELOs. While results for the solar cycle, QBO, and EESC are in good agreement with findings of earlier studies, unprecedented spatial fingerprints are retrieved for the dynamical covariates. Column ozone is enhanced over Labrador/Greenland, the North Atlantic sector and over the Norwegian Sea, but is reduced over Europe, Russia and the Eastern United States during the positive NAO phase, and vice-versa during the negative phase. The NAO's southern counterpart, the AAO, strongly influences column ozone at lower southern mid-latitudes, including the southern parts of South America and the Antarctic Peninsula, and the central southern mid-latitudes. Results for both NAO and AAO confirm the importance of atmospheric dynamics for ozone variability and changes from local/regional to global scales.
机译:我们使用总柱状臭氧平均值和极值的统计模型,以网格单元为基础分析北,南中纬度地区长期臭氧变化的大气动力学和化学“指纹”。在每个网格单元中,使用r-最大阶统计方法来分析总臭氧水平较低和较高的极端事件(分别称为ELO和EHO),并使用自回归移动平均值(ARMA)模型来表示相应的均值价值分析。为了描述大气层的动态和化学状态,统计模型包括重要的大气协变量:太阳周期,准两年一次振荡(QBO),消耗臭氧层物质(ODS)(等效有效平流层氯(EESC)) ,奇琴山和山火山爆发后的北大西洋涛动(NAO),南极涛动(AAO),厄尔尼诺/南方涛动(ENSO)以及气溶胶负荷。皮纳图博。各个协变量对总柱臭氧平均含量和极限含量的影响是基于网格单元得出的。结果表明,“指纹”,即对动力学和化学特征的重要影响,在臭氧统计分布的“体”和尾部均被捕获,分别用平均值和EHOs / ELOs描述。尽管太阳周期,QBO和EESC的结果与早期研究的结果非常吻合,但对于动态协变量却获得了空前的空间指纹。在积极的NAO阶段,拉布拉多/格陵兰岛,北大西洋地区和挪威海的柱状臭氧增加,但在欧洲,俄罗斯和美国东部的臭氧层减少,反之亦然。 NAO的南部对应物AAO对南部中低纬度地区(包括南美南部和南极半岛以及中南部中纬度)的柱状臭氧产生强烈影响。 NAO和AAO的结果都证实了大气动力学对于臭氧变化以及从地方/区域到全球尺度变化的重要性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号