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Multiscale comparison of air quality modeling for an ozone occurrence during the 1996 Paso Del Norte Ozone Campaign

机译：1996年Paso Del Norte臭氧运动期间臭氧发生的空气质量模型的多尺度比较

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摘要

An air quality modeling has been applied to investigate an ozone event occurring during the period of 1996 Paso del Norte Ozone Campaign. An examination of model sensitivity to horizontal grid resolutions has been performed. The modeling results show that grid resolution evidently influences the simulations of ozone formation, dispersion, transportation and structural distribution. The 36-, 12-, 4- and 1-km models captured the diurnal variation of surface ozone, but with a few hours lag for simulated peak ozone. The coarser the spatial resolution of the model, the more the peak ozone lag occurs. All models underpredicted the peak ozone concentration where the 1-km model produced the best while the 36-km model yielded the worst. This study suggests that the problems of maximum ozone underprediction and minimum ozone overprediction can be mitigated by increasing the spatial resolution of the model. Compared to fine models, coarse models provided rather simple and smooth structures with many detailed and complex structures being lost. The frequency distribution analysis also revealed that the high ozone event occurring over the complex terrain area such as El Paso, TX can hardly be captured by using coarse spatial resolution models, and the high resolution model (i.e., grid spacing is no greater than 4-km) is necessary.
机译：空气质量模型已被用于调查在1996年Paso del Norte臭氧运动期间发生的臭氧事件。已经对模型对水平网格分辨率的敏感性进行了检查。建模结果表明，网格分辨率明显影响了臭氧形成，扩散，传输和结构分布的模拟。 36、12、4和1公里的模型捕获了表面臭氧的日变化，但模拟峰值臭氧有几个小时的滞后。模型的空间分辨率越粗糙，臭氧滞后峰值就越多。所有模型都低估了峰值臭氧浓度，其中1公里模型产生的臭氧浓度最高，而36公里模型产生的臭氧浓度最差。这项研究表明，可以通过增加模型的空间分辨率来缓解最大臭氧低度预测和最小臭氧高度预测的问题。与精细模型相比，粗略模型提供了相当简单和平滑的结构，但丢失了许多详细和复杂的结构。频率分布分析还显示，复杂的地形区域（例如德克萨斯州的埃尔帕索）发生的高臭氧事件很难通过使用粗略的空间分辨率模型来捕获，而高分辨率模型（即网格间距不大于4）公里）。

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