首页> 外文期刊>Journal of atmospheric and solar-terrestrial physics >Analysis of variations and trends of the NO2 slant column abundance obtained by DOAS measurements at Stara Zagora and at NDACC European mid-latitude stations in comparison with subtropical stations
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Analysis of variations and trends of the NO2 slant column abundance obtained by DOAS measurements at Stara Zagora and at NDACC European mid-latitude stations in comparison with subtropical stations

机译:与亚热带气象站相比,通过Stara Zagora和NDACC欧洲中纬度站的DOAS测量获得的NO2斜柱丰度的变化和趋势分析

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摘要

Daily time series of the NO_2 slant column amounts obtained by the GASCOD-BG instrument at Stara Zagora and by instruments at European NDACC stations near 40°N and of two subtropical stations are analyzed. Monthly averages are determined after the rejection of the extreme values. The series are homogenized, based on linear regression between neighbor stations, by interpolation and by filling data gaps with seasonal means.To determine the linear trend a multiple linear regression model is used, including different impact factors as the solar activity, the aerosol loading, the El Nino impact. The QBO effect on the NO_2 variation is also checked. With small exceptions the examined data show no significant trends. A significant solar activity impact on NO_2 was determined only for the station at Mauna Loa. An influence of the south oscillation index was established for the Iza?a station. The significances of the impacts are tested, taking into account the auto-correlation of the NO_2 residuals.The density variations of the stratospheric NO_2 can change the ozone concentration, which in turn influences the radiative balance in the stratosphere and troposphere. This makes the NO_2 trend analysis important for the global climate change study.
机译:分析了由Stara Zagora的GASCOD-BG仪器和40°N附近的欧洲NDACC站以及两个亚热带站获得的NO_2斜柱量的每日时间序列。在拒绝极值后确定月平均值。该序列基于相邻站点之间的线性回归,通过插值和通过用季节均值填补数据缺口来均化。为确定线性趋势,使用了多个线性回归模型,包括太阳活动,气溶胶负荷,厄尔尼诺现象的影响。还检查了QBO对NO_2变化的影响。除少数例外,检查的数据未显示明显趋势。仅在莫纳罗亚站确定了太阳活动对NO_2的显着影响。对Iza?a台建立了南振荡指数的影响。考虑了NO_2残留物的自相关性,测试了影响的重要性。平流层NO_2的密度变化会改变臭氧浓度,进而影响平流层和对流层的辐射平衡。这使得NO_2趋势分析对于全球气候变化研究至关重要。

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