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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/gmd-2019-310
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-2019-310
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: model evaluation paper 25 Nov 2019

Submitted as: model evaluation paper | 25 Nov 2019

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This discussion paper is a preprint. It is a manuscript under review for the journal Geoscientific Model Development (GMD).

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

Yi Zeng1,2, Minghuai Wang1,2, Chun Zhao3, Siyu Chen4, Zhoukun Liu1,2, Xin Huang1,2, and Yang Gao5 Yi Zeng et al.
  • 1Institute for Climate and Global Change Research and School of Atmospheric Sciences, Nanjing University, 210023 Nanjing, China
  • 2Joint International Research Laboratory of Atmospheric and Earth System Sciences & Institute for Climate and Global Change Research, Nanjing University, China
  • 3School of Earth and Space Sciences, University of Science and Technology of China, Hefei, 230026, China
  • 4Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou,730000, China
  • 5Key Laboratory of Marine Environment and Ecology, Ministry of Education/Institute for Advanced Ocean Study, Ocean University of China, and Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266100, China

Abstract. Dust aerosol plays an important role in the radiative budget and hydrological cycle, but large uncertainties remain for simulating dust emission and dry deposition processes in models. In this study, we investigated dust simulation sensitivity to two dust emission schemes and three dry deposition schemes using Weather Research and Forecasting model coupled with chemistry (WRF-Chem). Results showed that simulated dust loading is very sensitive to different dry deposition schemes, with the relative difference of dust loading using different dry deposition schemes range from 20 %–116 %. Two dust emission schemes are found to produce significantly different spatial distribution of dust loading. The difference of dry deposition velocity in different dry deposition schemes comes from the parameterization of collection efficiency from impaction and rebound effect. An optimal combination of dry deposition scheme and dust emission scheme has been identified to best simulate the dust storm in comparison with observation and to include better physical treatment of dust emission and surface collection processes. The optimal dry deposition scheme accounts for the rebound effect and the collection efficiency from impaction changes with the land use categories and therefore has a better physical treatment of dry deposition velocity. Our results highlight the importance of dry deposition schemes for dust simulation.

Yi Zeng et al.
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Model code and software

WRF-Chem source code NCAR http://www2.mmm.ucar.edu/wrf/users/download/get_sources.html

Yi Zeng et al.
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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.
Dust aerosol can impact many processes of the earth system, but large uncertainties still remain...
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