Multi-model simulations of springtime dust storms in East Asia : Implications of an evaluation of four commonly used air quality models ( CMAQ v 5 . 2

Siqi Ma,Xuelei Zhang, Chao Gao, Daniel Q. Tong,Aijun Xiu,Guangjian Wu,Xinyuan Cao, Ling Huang,Hongmei Zhao,Shichun Zhang, Sergio Ibarra-Espinosa, Xin Wang,Xiaolan Li,Mo Dan

semanticscholar(2019)

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摘要
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 early-warning and 25 inform decision-making. 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 East Asia. Three dust schemes in the Weather Research and Forecast with Chemistry (WRF-Chem) (version 3.9.1), two schemes in CHIMERE (version 2017r4) and CMAQ (version 5.2), and one scheme in CAMx (version 6.50), were applied to a dust event during May 4~6, 2015 in Northeastern China. Most of these models were able to capture this dust event, except CAMx which has no dust source map 30 covering the study area, hence is excluded from subsequent analysis. 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 Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2019-57 Manuscript under review for journal Geosci. Model Dev. Discussion started: 15 April 2019 c © Author(s) 2019. CC BY 4.0 License.
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