WRF-Chem v3.9 simulations of the East Asian dust storm in May 2017: modeling sensitivities to dust emission and dry deposition schemes
<p>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 depo...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2020-04-01
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| Series: | Geoscientific Model Development |
| Online Access: | https://www.geosci-model-dev.net/13/2125/2020/gmd-13-2125-2020.pdf |
| _version_ | 1818481125059723264 |
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| author | Y. Zeng Y. Zeng M. Wang M. Wang C. Zhao S. Chen Z. Liu Z. Liu X. Huang X. Huang Y. Gao |
| author_facet | Y. Zeng Y. Zeng M. Wang M. Wang C. Zhao S. Chen Z. Liu Z. Liu X. Huang X. Huang Y. Gao |
| author_sort | Y. Zeng |
| collection | DOAJ |
| description | <p>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 for a severe dust storm during May 2017 over
East Asia using the 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
in dust loading using different dry deposition schemes ranging from
20 %–116 %. Two dust emission schemes are found to produce significantly
different spatial distributions of dust loading. The difference in 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. The optimal dry deposition scheme accounts for the rebound
effect and its 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.</p> |
| first_indexed | 2024-12-10T11:30:49Z |
| format | Article |
| id | doaj.art-6b7005c45ff04d398324eb5c8c245a39 |
| institution | Directory Open Access Journal |
| issn | 1991-959X 1991-9603 |
| language | English |
| last_indexed | 2024-12-10T11:30:49Z |
| publishDate | 2020-04-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Geoscientific Model Development |
| spelling | doaj.art-6b7005c45ff04d398324eb5c8c245a392022-12-22T01:50:35ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032020-04-01132125214710.5194/gmd-13-2125-2020WRF-Chem v3.9 simulations of the East Asian dust storm in May 2017: modeling sensitivities to dust emission and dry deposition schemesY. Zeng0Y. Zeng1M. Wang2M. Wang3C. Zhao4S. Chen5Z. Liu6Z. Liu7X. Huang8X. Huang9Y. Gao10Institute for Climate and Global Change Research and School of Atmospheric Sciences, Nanjing University, 210023 Nanjing, ChinaJoint International Research Laboratory of Atmospheric and Earth System Sciences & Institute for Climate and Global Change Research, Nanjing University, Nanjing, ChinaInstitute for Climate and Global Change Research and School of Atmospheric Sciences, Nanjing University, 210023 Nanjing, ChinaJoint International Research Laboratory of Atmospheric and Earth System Sciences & Institute for Climate and Global Change Research, Nanjing University, Nanjing, ChinaSchool of Earth and Space Sciences, University of Science and Technology of China, Hefei, 230026, ChinaKey Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou, 730000, ChinaInstitute for Climate and Global Change Research and School of Atmospheric Sciences, Nanjing University, 210023 Nanjing, ChinaJoint International Research Laboratory of Atmospheric and Earth System Sciences & Institute for Climate and Global Change Research, Nanjing University, Nanjing, ChinaInstitute for Climate and Global Change Research and School of Atmospheric Sciences, Nanjing University, 210023 Nanjing, ChinaJoint International Research Laboratory of Atmospheric and Earth System Sciences & Institute for Climate and Global Change Research, Nanjing University, Nanjing, ChinaKey Laboratory of Marine Environment and Ecology, Ministry of Education/Institute for Advanced Ocean Study, Ocean University of China, Qingdao, 266100, China<p>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 for a severe dust storm during May 2017 over East Asia using the 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 in dust loading using different dry deposition schemes ranging from 20 %–116 %. Two dust emission schemes are found to produce significantly different spatial distributions of dust loading. The difference in 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. The optimal dry deposition scheme accounts for the rebound effect and its 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.</p>https://www.geosci-model-dev.net/13/2125/2020/gmd-13-2125-2020.pdf |
| spellingShingle | Y. Zeng Y. Zeng M. Wang M. Wang C. Zhao S. Chen Z. Liu Z. Liu X. Huang X. Huang Y. Gao WRF-Chem v3.9 simulations of the East Asian dust storm in May 2017: modeling sensitivities to dust emission and dry deposition schemes Geoscientific Model Development |
| title | WRF-Chem v3.9 simulations of the East Asian dust storm in May 2017: modeling sensitivities to dust emission and dry deposition schemes |
| title_full | WRF-Chem v3.9 simulations of the East Asian dust storm in May 2017: modeling sensitivities to dust emission and dry deposition schemes |
| title_fullStr | WRF-Chem v3.9 simulations of the East Asian dust storm in May 2017: modeling sensitivities to dust emission and dry deposition schemes |
| title_full_unstemmed | WRF-Chem v3.9 simulations of the East Asian dust storm in May 2017: modeling sensitivities to dust emission and dry deposition schemes |
| title_short | WRF-Chem v3.9 simulations of the East Asian dust storm in May 2017: modeling sensitivities to dust emission and dry deposition schemes |
| title_sort | wrf chem v3 9 simulations of the east asian dust storm in may 2017 modeling sensitivities to dust emission and dry deposition schemes |
| url | https://www.geosci-model-dev.net/13/2125/2020/gmd-13-2125-2020.pdf |
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