Articles | Volume 13, issue 4
https://doi.org/10.5194/gmd-13-2125-2020
https://doi.org/10.5194/gmd-13-2125-2020
Model evaluation paper
 | 
30 Apr 2020
Model evaluation paper |  | 30 Apr 2020

WRF-Chem v3.9 simulations of the East Asian dust storm in May 2017: modeling sensitivities to dust emission and dry deposition schemes

Yi Zeng, Minghuai Wang, Chun Zhao, Siyu Chen, Zhoukun Liu, Xin Huang, and Yang Gao

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Cited articles

Abuduwaili, J., Liu, D., and Wu, G.: Saline dust storms and their ecological impacts in arid regions, J. Arid Land, 2, 144–150, https://doi.org/10.3724/sp.j.1227.2010.00144, 2010. 
Bergametti, G., Marticorena, B., Rajot, J. L., Foret, G., Alfaro, S. C., and Laurent, B.: Size-Resolved Dry Deposition Velocities of Dust Particles: In Situ Measurements and Parameterizations Testing, J. Geophys. Res.-Atmos., 123, 11080–11099, https://doi.org/10.1029/2018JD028964, 2018. 
Binkowski, F. S. and Shankar, U.: The Regional Particulate Matter Model: 1. Model description and preliminary results, J. Geophys. Res., 100, 26191, https://doi.org/10.1029/95JD02093, 1995. 
Chamberlain, A. C.: Transport of Lycopodium spores and other small particles to rough surfaces, P. Roy. Soc. Lond. Ser. A., 296, 45–70, https://doi.org/10.1098/rspa.1967.0005, 1967. 
Chen, F. and Dudhia, J.: Coupling an Advanced Land Surface–Hydrology Model with the Penn State–NCAR MM5 Modeling System. Part I: Model Implementation and Sensitivity, Mon. Weather Rev., 129, 569–585, https://doi.org/10.1175/1520-0493(2001)129<0569:CAALSH>2.0.CO;2, 2001. 
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Short summary
Dust aerosol can impact many processes of the Earth system, but large uncertainties still remain in dust simulations. In this study, we investigated dust simulation sensitivity to two dust emission schemes and three dry deposition schemes using WRF-Chem. An optimal combination of dry deposition scheme and dust emission scheme has been identified to best simulate the dust storm in comparison with observation. Our results highlight the importance of dry deposition schemes for dust simulation.
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