Articles | Volume 12, issue 11
https://doi.org/10.5194/gmd-12-4603-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-12-4603-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
06 Nov 2019
Model evaluation paper |
| 06 Nov 2019
| 06 Nov 2019
Multimodel simulations of a springtime dust storm over northeastern China: implications of an evaluation of four commonly used air quality models (CMAQ v5.2.1, CAMx v6.50, CHIMERE v2017r4, and WRF-Chem v3.9.1)
Siqi Ma
Key Laboratory of Wetland Ecology and Environment, Northeast Institute
of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102,
China
University of Chinese Academy of Sciences, Beijing 100049, China
Air Resources Laboratory, National Oceanic & Atmospheric Administration, College Park, MD 20740, USA
Xuelei Zhang
CORRESPONDING AUTHOR
Key Laboratory of Wetland Ecology and Environment, Northeast Institute
of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102,
China
Center for Spatial Information Science and Systems, George Mason
University, Fairfax, VA 22030, USA
Chao Gao
Key Laboratory of Wetland Ecology and Environment, Northeast Institute
of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102,
China
University of Chinese Academy of Sciences, Beijing 100049, China
Center for Spatial Information Science and Systems, George Mason
University, Fairfax, VA 22030, USA
Aijun Xiu
Key Laboratory of Wetland Ecology and Environment, Northeast Institute
of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102,
China
Guangjian Wu
Key Laboratory of Tibetan Environment Changes and Land Surface
Processes, Institute of Tibetan Plateau Research, Chinese Academy of
Sciences, Beijing 100101, China
CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing
100101, China
Xinyuan Cao
Key Laboratory of Wetland Ecology and Environment, Northeast Institute
of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102,
China
University of Chinese Academy of Sciences, Beijing 100049, China
Ling Huang
School of Environmental and Chemical Engineering, Shanghai
University, Shanghai 200444, China
Hongmei Zhao
Key Laboratory of Wetland Ecology and Environment, Northeast Institute
of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102,
China
Shichun Zhang
Key Laboratory of Wetland Ecology and Environment, Northeast Institute
of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102,
China
Department of Marine, Earth, and Atmospheric Sciences, North Carolina
State University, Raleigh, NC 27695, USA
Sergio Ibarra-Espinosa
Key Laboratory of Wetland Ecology and Environment, Northeast Institute
of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102,
China
Department of Atmospheric Sciences, Universidade de São Paulo,
São Paulo, SP, Brazil
Key Laboratory for Semi-Arid Climate Change of the Ministry of
Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou
730000, China
Xiaolan Li
Institute of Atmospheric Environment, China Meteorological
Administration, Shenyang 110166, China
School of Meteorology, University of Oklahoma, Norman, OK 73072, USA
Mo Dan
Beijing Municipal Institute of Labor Protection, Beijing 100054,
China
Model code and software
Multi-model simulations of a springtime dust storms over Northeastern China: Implications of an evaluation of four commonly used air quality models (CMAQ v5.2.1, CAMx v6.50, CHIMERE v2017r4, and WRF-Chem v3.9.1) Siqi Ma; Xuelei Zhang; Chao Gao; Daniel Q. Tong; Aijun Xiu; Guangjian Wu; Xinyuan Cao; Ling Huang; Hongmei Zhao; Shichun Zhang; Sergio Ibarra-Espinosa; Xin Wang; Xiaolan Li; Mo Dan https://doi.org/10.5281/zenodo.3376774
Short summary
Dust storms are thought to be a worldwide societal issue, and numerical modeling is an effective way to help us to predict dust events. Here we present the first comprehensive evaluation of dust emission modules in four commonly used air quality models for northeastern China. The results showed that most of these models were able to capture this dust event and indicated the dust source maps should be carefully selected or replaced with a new one that is constructed with local data.
Dust storms are thought to be a worldwide societal issue, and numerical modeling is an effective...
