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Persistence of initial conditions in continental scale air quality simulations

机译:大陆尺度空气质量模拟中初始条件的持久性

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摘要

This study investigates the effect of initial conditions (IC) for pollutant concentrations in the atmosphere and soil on simulated air quality for two continental-scale Community Multiscale Air Quality (CMAQ) model applications. One of these applications was performed for springtime and the second for summertime. Results show that a spin-up period of ten days commonly used in regional-scale applications may not be sufficient to reduce the effects of initial conditions to less than 1% of seasonally-averaged surface ozone concentrations everywhere while 20 days were found to be sufficient for the entire domain for the spring case and almost the entire domain for the summer case. For the summer case, differences were found to persist longer aloft due to circulation of air masses and even a spin-up period of 30 days was not sufficient to reduce the effects of ICs to less than 1% of seasonally-averaged layer 34 ozone concentrations over the southwestern portion of the modeling domain. Analysis of the effect of soil initial conditions for the CMAQ bidirectional NH3 exchange model shows that during springtime they can have an important effect on simulated inorganic aerosols concentrations for time periods of one month or longer. The effects are less pronounced during other seasons. The results, while specific to the modeling domain and time periods simulated here, suggest that modeling protocols need to be scrutinized for a given application and that it cannot be assumed that commonly-used spin-up periods are necessarily sufficient to reduce the effects of initial conditions on model results to an acceptable level. What constitutes an acceptable level of difference cannot be generalized and will depend on the particular application, time period and species of interest. Moreover, as the application of air quality models is being expanded to cover larger geographical domains and as these models are increasingly being coupled with other modeling systems to better represent air-surface-water exchanges, the effects of model initialization in such applications needs to be studied in future work.
机译:这项研究针对两种大陆规模的社区多尺度空气质量(CMAQ)模型应用,研究了大气和土壤中污染物浓度的初始条件(IC)对模拟空气质量的影响。这些应用程序之一在春季执行,第二次在夏季执行。结果表明,在区域规模应用中通常使用10天的加速期可能不足以将初始条件的影响降低到各处的季节性平均地面臭氧浓度的1%以下,而发现20天就足够了春季案例的整个领域,夏季案例的整个领域。在夏季情况下,由于空气质量的循环,差异持续存在的时间更长,即使旋转30天仍不足以将IC的影响降低到季节平均第34层臭氧浓度的1%以下在建模域的西南部分。对CMAQ双向NH3交换模型的土壤初始条件的影响分析表明,在春季期间,它们可以对模拟无机气溶胶浓度持续一个月或更长时间产生重要影响。在其他季节,这种影响不太明显。结果,虽然特定于此处建模的建模域和时间段,但表明对于给定的应用程序,需要仔细研究建模协议,并且不能假定常用的加速周期必须足以减少初始影响。模型上的条件达到可接受的水平。构成可接受的差异水平的因素不能一概而论,这取决于特定的应用,时间段和感兴趣的种类。此外,随着空气质量模型的应用范围不断扩大,以覆盖更大的地理区域,并且这些模型与其他建模系统越来越紧密地结合在一起,以更好地表示空气-地表水交换,因此在此类应用中,模型初始化的效果需要在未来的工作中学习。

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