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Influence of Boundary Conditions on Simulated U.S. Air Quality

机译:边界条件对模拟美国空气质量的影响

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One of the key inputs to regional-scale photochemical models frequently used in air quality planning and forecasting applications are chemical boundary conditions representing background pollutant concentrations originating outside the regional modeling domain. A number of studies have investigated the effects of boundary conditions on the results of the regional-scale simulations. In this study, we build upon the existing body of work by analyzing two annual simulations for the year 2010 over the continental U.S. driven by boundary conditions derived from the European Center for Medium Range Weather Forecasting (ECMWF) global IFS-MOZART system applied in two different configurations. Daily maximum 8-hr (DM8HR) ozone and 24-hr PM_(2.5) concentrations from these simulations are then compared to determine the magnitude of model-to-model differences and their impact on model performance.
机译:空气质量计划和预测应用中经常使用的区域尺度光化学模型的关键输入之一是代表边界建模领域之外的背景污染物浓度的化学边界条件。许多研究已经研究了边界条件对区域尺度模拟结果的影响。在这项研究中,我们通过分析受欧洲中距离天气预报中心(ECMWF)全球IFS-MOZART系统应用的边界条件得出的边界条件,对美国大陆上的两个2010年年度模拟进行分析,以此建立现有工作的基础不同的配置。然后将这些模拟中的每日最大8小时(DM8HR)臭氧浓度和24小时PM_(2.5)浓度进行比较,以确定模型间差异的大小及其对模型性能的影响。

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