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首页> 外文期刊>Atmospheric environment >Tropospheric ozone over the Indian subcontinent from 2000 to 2015: Data set and simulation using GEOS-Chem chemical transport model
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Tropospheric ozone over the Indian subcontinent from 2000 to 2015: Data set and simulation using GEOS-Chem chemical transport model

机译:2000年至2015年印度次大陆上的对流层臭氧:使用GEOS-Chem化学迁移模型的数据集和模拟

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摘要

The Indian subcontinent (IS) is a region of increasing economic growth, urbanization, and consequently, anthropogenic emissions, altering tropospheric ozone (O-3) over the region with impacts on the lives and health of 1.3 billion people. We have developed a comprehensive data set of the tropospheric O-3 for 16 years (2000-2015) for the region between 50-115 degrees E and 0-45 degrees N, focusing on the IS. The data set included available balloon-borne, aircraft, and satellite-based measurements. We used a global three-dimensional chemical transport model, GEOS-Chem, at a 2 degrees x 2.5 degrees resolution to calculate daily tropospheric O-3 over the region. The simulated O-3 abundances in the boundary layer and lower, mid, and upper troposphere were compared with ozonesonde, aircraft, and satellite observations. The statistical analyses indicate that the model simulated boundary layer and lower, mid, and upper tropospheric O-3 column abundances reasonably well with a mean bias similar to 1-3 DU in comparison to observations, but within the uncertainties of the observations. The model reproduced the vertical profiles of O-3 and CO with a bias of less than 20% over different regions in the IS. The simulated tropospheric column NO2 was higher by a factor of similar to 1.5 compared to satellite observations. The model reproduced the regional difference in seasonal variations of tropospheric column O-3 as observed by the Ozone Monitoring Instrument. We conclude that the CO emissions from the IS are underestimated while those of NOx are overestimated, both by around 20-30%.
机译:印度次大陆(IS)是一个经济增长,城市化进程加快的地区,因此,是人为排放源,改变了该地区的对流层臭氧(O-3),对13亿人口的生活和健康产生了影响。我们已经开发了一个16年(2000-2015年)对流层O-3的综合数据集,该数据集集中在东经50-115度和北纬0-45度之间,重点是IS。数据集包括可用的气球飞行,飞机和卫星测量。我们使用2度x 2.5度分辨率的全球三维化学物质运输模型GEOS-Chem计算了该地区每天的对流层O-3。将边界层,对流层中,上和对流层中的O-3丰度模拟值与臭氧探空仪,飞机和卫星观测值进行了比较。统计分析表明,该模型与观测值相比,模拟边界层以及对流层中,下和中层O-3柱的丰度相当好,平均偏差类似于1-3 DU,但在观测值的不确定性范围内。该模型复制了O-3和CO的垂直剖面,其在IS中不同区域的偏差小于20%。与卫星观测相比,模拟的对流层二氧化氮柱高出约1.5倍。该模型再现了臭氧监测仪器观测到的对流层柱O-3季节性变化的区域差异。我们得出的结论是,IS的CO排放量被低估了,而NOx的CO排放量被高估了,两者都降低了20%至30%。

著录项

  • 来源
    《Atmospheric environment》 |2019年第12期|117039.1-117039.14|共14页
  • 作者

  • 作者单位

    Colorado State Univ Dept Chem Ft Collins CO 80523 USA|Colorado State Univ Dept Atmospher Sci Ft Collins CO 80523 USA;

    Colorado State Univ Dept Atmospher Sci Ft Collins CO 80523 USA;

    CNRS UMR5560 Lab Aerol Toulouse France|Univ Toulouse Toulouse France;

    Phys Res Lab Ahmadabad Gujarat India;

    Indian Inst Sci Educ & Res Mohali Mohali Punjab India;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Tropospheric ozone; Indian subcontinent; GEOS-Chem model; Statistical model evaluation;

    机译:对流层臭氧;印度次大陆;GEOS-Chem模型;统计模型评估;

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