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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)
Ma, SQ (Ma, Siqi)1,2,13; Zhang, XL (Zhang, Xuelei)1,3; Gao, C (Gao, Chao)1,2; Tong, DQ (Tong, Daniel Q.)3; Xiu, AJ (Xiu, Aijun)1; Wu, GJ (Wu, Guangjian)4,5; Cao, XY (Cao, Xinyuan)1,2; Huang, L (Huang, Ling)6; Zhao, HM (Zhao, Hongmei)1; Zhang, SC (Zhang, Shichun)1,7; Ibarra-Espinosa, S (Ibarra-Espinosa, Sergio)1,8; Wang, X (Wang, Xin)9; Li, XL (Li, Xiaolan)10,11; Dan, M (Dan, Mo)12
Source PublicationGEOSCIENTIFIC MODEL DEVELOPMENT
2019
Volume12Issue:11Pages:4603-4625
DOI10.5194/gmd-12-4603-2019
Abstract

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.

Subject AreaGeosciences
WOS IDWOS:000495438300001
Language英语
Indexed BySCI
KeywordSandy Land Area Mineral Dust Desert Dust Wind-erosion Size Distribution Emission Scheme Anthropogenic Dust Pm10 Emission Chemistry Transport
WOS Research AreaGeology
WOS SubjectGeosciences
Cooperation Status国际
ISSN1991-959X
Department环境变化与地表过程重点实验室
URL查看原文
PublisherCOPERNICUS GESELLSCHAFT MBH
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.itpcas.ac.cn/handle/131C11/9092
Collection图书馆
Corresponding AuthorZhang, XL (Zhang, Xuelei); Tong, DQ (Tong, Daniel Q.)
Affiliation1.Chinese Acad Sci, Key Lab Wetland Ecol & Environm, Northeast Inst Geog & Agroecol, Changchun 130102, Jilin, Peoples R China;
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China;
3.George Mason Univ, Ctr Spatial Informat Sci & Syst, Fairfax, VA 22030 USA;
4.Chinese Acad Sci, Key Lab Tibetan Environm Changes & Land Surface P, Inst Tibetan Plateau Res, Beijing 100101, Peoples R China;
5.CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China;
6.Shanghai Univ, Sch Environm & Chem Engn, Shanghai 200444, Peoples R China;
7.North Carolina State Univ, Dept Marine Earth & Atmospher Sci, Raleigh, NC 27695 USA;
8.Univ Sao Paulo, Dept Atmospher Sci, Sao Paulo, SP, Brazil;
9.Lanzhou Univ, Coll Atmospher Sci, Key Lab Semiarid Climate Change, Minist Educ, Lanzhou 730000, Gansu, Peoples R China;
10.China Meteorol Adm, Inst Atmospher Environm, Shenyang 110166, Liaoning, Peoples R China;
11.Univ Oklahoma, Sch Meteorol, Norman, OK 73072 USA;
12.Beijing Municipal Inst Labor Protect, Beijing 100054, Peoples R China;
13.NOAA, Air Resources Lab, College Pk, MD 20740 USA.
Recommended Citation
GB/T 7714
Ma, SQ ,Zhang, XL ,Gao, C ,et al. 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)[J]. GEOSCIENTIFIC MODEL DEVELOPMENT,2019,12(11):4603-4625.
APA Ma, SQ .,Zhang, XL .,Gao, C .,Tong, DQ .,Xiu, AJ .,...&Dan, M .(2019).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).GEOSCIENTIFIC MODEL DEVELOPMENT,12(11),4603-4625.
MLA Ma, SQ ,et al."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)".GEOSCIENTIFIC MODEL DEVELOPMENT 12.11(2019):4603-4625.
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