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Comprehensive evaluations of diurnal NO 2 measurements during DISCOVER-AQ 2011: effects of resolution-dependent representation of NO x emissions

机译:在Discover-AQ 2011期间昼夜第2次测量的综合评价:决议依赖性表示的效果依X排放

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Nitrogen oxides ( NO x ? = ? NO ? + ? NO 2 ) play a crucial role in the formation of ozone and secondary inorganic and organic aerosols, thus affecting human health, global radiation budget, and climate. The diurnal and spatial variations in NO 2 are functions of emissions, advection, deposition, vertical mixing, and chemistry. Their observations, therefore, provide useful constraints in our understanding of these factors. We employ a Regional chEmical and trAnsport model (REAM) to analyze the observed temporal (diurnal cycles) and spatial distributions of NO 2 concentrations and tropospheric vertical column densities (TVCDs) using aircraft in situ measurements and surface EPA Air Quality System (AQS) observations as well as the measurements of TVCDs by satellite instruments (OMI: the Ozone Monitoring Instrument; GOME-2A: Global Ozone Monitoring Experiment?– 2A), ground-based Pandora, and the Airborne Compact Atmospheric Mapper (ACAM) instrument in July 2011 during the DISCOVER-AQ campaign over the Baltimore–Washington region. The model simulations at 36 and 4? km resolutions are in reasonably good agreement with the regional mean temporospatial NO 2 observations in the daytime. However, we find significant overestimations (underestimations) of model-simulated NO 2 ( O 3 ) surface concentrations during nighttime, which can be mitigated by enhancing nocturnal vertical mixing in the model. Another discrepancy is that Pandora-measured NO 2 TVCDs show much less variation in the late afternoon than simulated in the model. The higher-resolution 4? km simulations tend to show larger biases compared to the observations due largely to the larger spatial variations in NO x emissions in the model when the model spatial resolution is increased from 36 to 4? km . OMI, GOME-2A, and the high-resolution aircraft ACAM observations show a more dispersed distribution of NO 2 vertical column densities (VCDs) and lower VCDs in urban regions than corresponding 36 and 4? km model simulations, likely reflecting the spatial distribution bias of NO x emissions in the National Emissions Inventory (NEI) 2011.
机译:氮氧化物(NO X?=?+ + NO 2)在臭氧和二次无机和有机气溶胶的形成中起至关重要的作用,从而影响人类健康,全球辐射预算和气候。 NO 2中的昼夜和空间变化是排放,平流,沉积,垂直混合和化学的功能。因此,他们的观察结果为我们对这些因素的理解提供了有用的制约因素。我们采用区域化学和运输模型(REAM)来分析观察到的时间(昼夜循环)和使用飞机的常时(昼夜循环)和空间分布使用飞机在原位测量和表面EPA空气质量系统(AQS)观察中使用飞机除了卫星仪器(OMI:臭氧监测仪器; GME-2A:全球臭氧监测实验? - 2A),2011年7月期间在巴尔的摩华盛顿地区的发现-AQ竞选活动。 36和4的模型模拟? KM决议与白天的区域平均间隙没有2观察结果合理良好。然而,我们在夜间期间发现模拟模拟的NO 2(O 3)表面浓度的显着高度估计(低估),这可以通过增强模型中的夜间垂直混合来缓解。另一种差异是潘多拉测量的第2个无线电公司在下午晚些时候的变化小于模型中的模拟。更高分辨率的4?与模型空间分辨率从36增加到4的模型中没有X排放的较大空间变化,达到较大的偏见,往往会显示出更大的偏见。 km。 OMI,GOME-2A和高分辨率飞机ACAM观测显示,在城市地区的NO 2垂直列密度(VCD)和较低的VCDS比相应的36和4更低的vcds更加分散。 KM模型模拟,可能反映了NO X排放的空间分布偏差2011年国家排放量库存(NEI)。

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