Cite
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).
MLA
Ma, Siqi, 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, vol. 12, no. 11, Nov. 2019, pp. 4603–25. EBSCOhost, https://doi.org/10.5194/gmd-12-4603-2019.
APA
Ma, S., Zhang, X., Gao, C., Tong, D. Q., Xiu, A., Wu, G., Cao, X., Huang, L., Zhao, H., Zhang, S., Ibarra-Espinosa, S., Wang, X., Li, X., & 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. https://doi.org/10.5194/gmd-12-4603-2019
Chicago
Ma, Siqi, Xuelei Zhang, Chao Gao, Daniel Q. Tong, Aijun Xiu, Guangjian Wu, Xinyuan Cao, et al. 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): 4603–25. doi:10.5194/gmd-12-4603-2019.