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
Yi Zeng
Institute for Climate and Global Change Research and School of
Atmospheric Sciences, Nanjing University, 210023 Nanjing, China
Joint International Research Laboratory of Atmospheric and Earth
System Sciences & Institute for Climate and Global Change Research,
Nanjing University, Nanjing, China
Institute for Climate and Global Change Research and School of
Atmospheric Sciences, Nanjing University, 210023 Nanjing, China
Joint International Research Laboratory of Atmospheric and Earth
System Sciences & Institute for Climate and Global Change Research,
Nanjing University, Nanjing, China
Chun Zhao
School of Earth and Space Sciences, University of Science and
Technology of China, Hefei, 230026, China
Siyu Chen
Key Laboratory for Semi-Arid Climate Change of the Ministry of
Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou,
730000, China
Zhoukun Liu
Institute for Climate and Global Change Research and School of
Atmospheric Sciences, Nanjing University, 210023 Nanjing, China
Joint International Research Laboratory of Atmospheric and Earth
System Sciences & Institute for Climate and Global Change Research,
Nanjing University, Nanjing, China
Institute for Climate and Global Change Research and School of
Atmospheric Sciences, Nanjing University, 210023 Nanjing, China
Joint International Research Laboratory of Atmospheric and Earth
System Sciences & Institute for Climate and Global Change Research,
Nanjing University, Nanjing, China
Key Laboratory of Marine Environment and Ecology, Ministry of Education/Institute for Advanced Ocean Study, Ocean University of China, Qingdao, 266100, China
Viewed
Total article views: 7,677 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
6,229
1,351
97
7,677
255
131
193
HTML: 6,229
PDF: 1,351
XML: 97
Total: 7,677
Supplement: 255
BibTeX: 131
EndNote: 193
Views and downloads (calculated since 25 Nov 2019)
Cumulative views and downloads
(calculated since 25 Nov 2019)
Total article views: 6,975 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
5,910
983
82
6,975
255
113
171
HTML: 5,910
PDF: 983
XML: 82
Total: 6,975
Supplement: 255
BibTeX: 113
EndNote: 171
Views and downloads (calculated since 30 Apr 2020)
Cumulative views and downloads
(calculated since 30 Apr 2020)
Total article views: 702 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
319
368
15
702
18
22
HTML: 319
PDF: 368
XML: 15
Total: 702
BibTeX: 18
EndNote: 22
Views and downloads (calculated since 25 Nov 2019)
Cumulative views and downloads
(calculated since 25 Nov 2019)
Viewed (geographical distribution)
Total article views: 7,677 (including HTML, PDF, and XML)
Thereof 7,043 with geography defined
and 634 with unknown origin.
Total article views: 6,975 (including HTML, PDF, and XML)
Thereof 6,409 with geography defined
and 566 with unknown origin.
Total article views: 702 (including HTML, PDF, and XML)
Thereof 634 with geography defined
and 68 with unknown origin.
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...
