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

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

doi:https://doi.org/10.5194/gmd-13-2125-2020

Articles | Volume 13, issue 4

https://doi.org/10.5194/gmd-13-2125-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-13-2125-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 13, issue 4

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

Supplement

https://doi.org/10.5194/gmd-13-2125-2020-supplement

Model code and software

MODIS Atmosphere L3 Daily Product, NASA MODIS Adaptive Processing System S. Platnick et al. https://doi.org/10.5067/MODIS/MOD08_D3.006

NCEP FNL Operational Model Global Tropospheric Analyses NCEP/NWS/NOAA/U.S. Department of Commerce https://doi.org/10.5065/D6M043C6

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.