首页> 外文期刊>Geoscientific Model Development >Multimodel simulations of a springtime dust storm over northeastern China: implications of an evaluation of four commonly used air quality models (CMAQ v5.2.1, CAMx v6.50, CHIMERE v2017r4, and WRF-Chem v3.9.1)
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Multimodel simulations of a springtime dust storm over northeastern China: implications of an evaluation of four commonly used air quality models (CMAQ v5.2.1, CAMx v6.50, CHIMERE v2017r4, and WRF-Chem v3.9.1)

机译:中国东北地区春天尘暴的多模仿模拟:评估四种常用空气质量模型的含义(CMAQ V5.2.1,CAMX V6.50,Chimere V2017R4和WRF-Chem V3.9.1)

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Mineral dust particles play an important role in the Earth system, imposing a variety of effects on air quality, climate, human health, and economy. Accurate forecasts of dust events are highly desirable to provide an early warning and inform the decision-making process. East Asia is one of the largest dust sources in the world. This study applies and evaluates four widely used regional air quality models to simulate dust storms in northeastern China. Three dust schemes in the Weather Research and Forecasting model with Chemistry (WRF-Chem) (version 3.9.1), two schemes in both CHIMERE (version 2017r4) and CMAQ (version 5.2.1), and one scheme in CAMx (version 6.50) were applied to a dust event during 4–6?May?2015 in northeastern China. Most of these models were able to capture this dust event with the exception of CAMx, which has no dust source map covering the study area; hence, another dust source mask map was introduced to replace the default one for the subsequent simulation. Although these models reproduced the spatial pattern of the dust plume, there were large discrepancies between predicted and observed PM10 concentrations in each model. In general, CHIMERE had relatively better performance among all simulations with default configurations. After parameter tuning, WRF-Chem with the Air Force Weather Agency (AFWA) scheme using a seasonal dust source map from Ginoux et al.?(2012) showed the best performance, followed by WRF-Chem with the UOC_Shao2004 scheme, CHIMERE, and CMAQ. The performance of CAMx had significantly improved by substituting the default dust map and removing the friction velocity limitation. This study suggested that the dust source maps should be carefully selected on a regional scale or replaced with a new one constructed with local data. Moreover, further study and measurement of sandblasting efficiency of different soil types and locations should be conducted to improve the accuracy of estimated vertical dust fluxes in air quality models.
机译:矿物粉尘颗粒在地球系统中发挥着重要作用,对空气质量,气候,人类健康和经济施加了各种影响。准确的灰尘事件预测非常适合提供预警并告知决策过程。东亚是世界上最大的尘埃源之一。本研究适用并评估四种广泛使用的区域空气质量模型,以模拟中国东北部的沙尘暴。具有化学(WRF-Chem)(3.9.1版)的天气研究和预测模型中的三种粉尘方案,Chimere(版本2017R4)和CMAQ(版本5.2.1)中的两种方案以及CAMX(版本6.50版) )在4-6期间应用于尘埃事件?2015年在中国东北部。除CAMX外,这些模型中的大多数都能够捕获这种尘埃事件,这些尘埃事件没有覆盖研究区域的灰尘源图;因此,引入了另一个粉尘源掩模图以替换后续仿真的默认值。虽然这些模型再现了粉尘羽流的空间模式,但在每个模型中预测和观察到的PM10浓度之间存在较大的差异。通常,Chimere在具有默认配置的所有模拟中具有相对较好的性能。在参数调谐后,WRF-Chem使用来自Ginoux等人的季节性粉尘源图的WRF-Chem(AFWA)方案显示出最佳性能,其次是WRF-Chem与Uoc_shao2004计划,Chimere,以及CMAQ。 CAMX的性能通过代替默认的灰尘图和去除摩擦速度限制而显着改善。这项研究表明,应在区域秤上仔细选择粉尘源图,或者用与本地数据构建的新建替换。此外,应进行进一步研究和测量不同土壤类型和地点的喷砂效率,以提高空气质量模型中估计的垂直灰尘通量的准确性。

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