Modeling the variability of the atmospheric gas composition at RSHU

S. Smyshlyaev, P.A. Blakitna, M. A. Motsakov, A.R. Yakovlev, M. Cherepova
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Abstract

A set of numerical models of the lower and middle atmosphere gas composition has been created at the Russian State Hydrometeorological University (RSHU). The set of RSHU numerical models consists of a global chemistry-climate model (CCM) of the troposphere, stratosphere and mesosphere (0-90 km), a chemistry-transport model (CTM) of the troposphere and stratosphere gas composition with meteorological parameters specified from reanalysis data (0-60 km), and a model of Eurasia air quality (0-32 km). All models use a single block of chemical transformations in the atmosphere and different ways of using meteorological parameters that determine the effect of atmospheric transport on atmospheric gases. The CCM allows us to study the interaction of physical and chemical processes in the lower and middle atmosphere, the CTM is suitable for studying the influence of chemical processes on the gas composition of the atmosphere under a given influence of dynamic factors, and the air quality model can be used to analyze the impact of surface emissions of pollutants and meteorological conditions on the observed variability of air quality in different parts of Eurasia. Numerical experiments with RSHU CCM described in this article allowed us to identify the relative role of natural and anthropogenic factors in the interannual variability of atmospheric ozone in tropical, middle and polar latitudes. Quantitative estimates of ozone trends revealed a greater rate of ozone decrease in Northern mid-latitude compared to its variability in the tropical latitudes. During periods of sharp ozone decrease and then recovery in the 90th years of the twentieth century, in the tropics and mid-latitudes, the additive role played by the combination of several factors: the fall in ozone as a result of increased content of chlorine and bromine gases and reduction in solar activity and the role of sea surface temperature on the background of increasing chlorine and bromine gases and the increase in the ozone content in the result of the purification of stratospheric aerosol and the influence of the variability of sea surface temperature and growth of solar activity. The results of numerical calculations with CTM demonstrated the predominant role of dynamic processes in the formation of winter-spring ozone anomalies in the Arctic and Subarctic. Rapid use of the air quality model has shown the important impact of meteorological conditions on air quality in Eurasia
模拟RSHU地区大气气体成分的变化
俄罗斯国立水文气象大学(RSHU)建立了一套低层和中层大气气体组成的数值模型。RSHU数值模式集包括对流层、平流层和中间层(0-90 km)的全球化学-气候模式(CCM),对流层和平流层气体成分(0-60 km)的化学-输送模式(CTM),以及欧亚大陆空气质量(0-32 km)的模式。所有模式都使用大气中单一的化学转化块,以及使用确定大气输送对大气气体影响的气象参数的不同方法。CCM使我们能够研究中低层大气中物理和化学过程的相互作用,CTM适合研究在给定的动态因子影响下化学过程对大气气体组成的影响,空气质量模式可以用于分析地表污染物排放和气象条件对欧亚大陆不同地区空气质量观测变率的影响。本文描述的RSHU CCM数值实验使我们能够确定自然因子和人为因子在热带、中、极纬地区大气臭氧年际变化中的相对作用。臭氧趋势的定量估计显示,与热带纬度的变率相比,北部中纬度的臭氧减少率更高。在20世纪90年代热带和中纬度地区臭氧急剧减少然后恢复的时期,以下几个因素的组合所起的加性作用:臭氧的减少是由于氯和溴气体含量增加和太阳活动减少造成的,在氯和溴气体增加和臭氧含量增加的背景下海面温度的作用是由于平流层气溶胶的净化造成的,以及海面温度变率和太阳活动增加的影响。CTM数值计算结果表明,动力过程在北极和亚北极地区冬春臭氧异常的形成中起主导作用。空气质量模式的快速应用显示了气象条件对欧亚大陆空气质量的重要影响
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