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Analyzing the impacts of climate change on ozone andparticulate matter with tracer species, process analysis, andmultiple regional climate scenarios

机译:分析气候变化对臭氧和分析物质的影响,具有示踪物种,过程分析,以及多种区域气候情景

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This paper describes the application of tracer species and processanalysis to study the simulated effects of regional climate change on airquality over the eastern United States. The coupled modeling systemutilized in this study consists of the NASA Goddard Institute for SpaceStudies General Circulation Model (GISS-GCM), Fifth GenerationPennsylvania State University/National Center for AtmosphericResearch Mesoscale Model (MM5), Sparse Matrix Operator KernalEmissions (SMOKE) modeling system, and the US EnvironmentalProtection Agency Community Multiscale Air Quality (CMAQ)model. Results show that climate change for the 2050s is expected tocause an increase in summertime average concentrations for a varietyof primary and secondary pollutants. Through the use of CO-likechemically inert tracer species it is found that changes in physical para-meters such as boundary layer ventilation and stagnation cause anincrease in primary pollutant concentrations, but that actual CO con-centrations show an even larger increase that points to a contributionfrom increased chemical reaction as well.
机译:本文介绍了示踪物种和处理的应用,研究区域气候变化对美国东部风险的模拟效果。本研究中系统化的耦合建模包括NASA戈德通道的空间普通循环模型(GISS-GCM),第五代仁斯西亚州立大学/全国atmoshiCresearch Messcale模型(MM5),稀疏矩阵操作员Kernalemissions(Smoke)建模系统,以及美国环境保护社社区多尺度空气质量(CMAQ)模型。结果表明,2050年代的气候变化预计将增加夏季污染物和次级污染物的夏季平均浓度的增加。通过使用共磷惰性示踪物种,发现物理仪表(如边界层通风和停滞)的变化导致初级污染物浓度的呼吸,但实际的Co Con-Centrations展示了甚至更大的增加贡献增加了化学反应。

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