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A quantitative analysis of the reactions involved in stratospheric ozone depletion in the polar vortex core

机译:在极性涡旋芯中涉及涉及平流层臭氧消耗的反应的定量分析

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We present a quantitative analysis of the chemical reactions involved in polar ozone depletion in the stratosphere and of the relevant reaction pathways and cycles. While the reactions involved in polar ozone depletion are well known, quantitative estimates of the importance of individual reactions or reaction cycles are rare. In particular, there is no comprehensive and quantitative study of the reaction rates and cycles averaged over the polar vortex under conditions of heterogeneous chemistry so far. We show time series of reaction rates averaged over the core of the polar vortex in winter and spring for all relevant reactions and indicate which reaction pathways and cycles are responsible for the vortex-averaged net change of the key species involved in ozone depletion, i.e., ozone, chlorine species (ClO_x, HCl, ClONO_2), bromine species, nitrogen species (HNO_3, NO_x) and hydrogen species (HO_x). For clarity, we focus on one Arctic winter (2004-2005) and one Antarctic winter (2006) in a layer in the lower stratosphere around 54 hPa and show results for additional pressure levels and winters in the Supplement. Mixing ratios and reaction rates are obtained from runs of the ATLAS Lagrangian chemistry and transport model (CTM) driven by the European Centre for Medium-Range Weather Forecasts (ECMWF) ERAInterim reanalysis data. An emphasis is put on the partitioning of the relevant chemical families (nitrogen, hydrogen, chlorine, bromine and odd oxygen) and activation and deactivation of chlorine.
机译:我们对平流层和相关的反应途径和循环中涉及极性臭氧消耗所涉及的化学反应的定量分析。虽然涉及涉及极性臭氧耗竭的反应是众所周知的,但各种反应或反应循环的重要性的定量估计是罕见的。特别地,在到目前为止,在异构化学条件下,对极性涡流平均的反应速率和循环没有全面的和定量研究。我们展示冬季和弹簧在极地涡旋的核心上平均的时间序列对所有相关反应的核心,并表明哪些反应途径和循环负责臭氧耗尽所涉及的关键物种的涡流平均净变化,即臭氧,氯物种(CLO_X,HCl,Clono_2),溴物种,氮物质(HNO_3,NO_X)和氢物质(HO_X)。为清楚起见,我们专注于一个北极冬季(2004-2005)和一个南极冬季(2006年)在较低平流层的一层中,在54 HPA左右,并显示补充剂中额外的压力水平和冬季的结果。混合比率和反应率是由由欧洲中距离(ECMWF)Erainterim Reanaly分析数据驱动的阿特拉斯拉格朗日化学和运输模型(CTM)的运行获得的。强调相关化学家族(氮,氢,氯,溴和奇氧)和氯的活化和失活的分区。

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