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.
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.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
30 Apr 2020
Model evaluation paper |
| 30 Apr 2020
| 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
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
Xin Huang
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
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- Sensitivity and uncertainties assessment in radiative forcing due to aerosol optical properties in diverse locations in China F. Lu et al. 10.1016/j.scitotenv.2022.160447
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- Seasonal simulations of summer aerosol optical depth over the Arabian Peninsula using WRF‐Chem: Validation, climatology, and variability R. Karumuri et al. 10.1002/joc.7396
- Polarization Lidar Measurements of Dust Optical Properties at the Junction of the Taklimakan Desert–Tibetan Plateau Q. Dong et al. 10.3390/rs14030558
- Mineral dust scavenges anthropogenic aerosols in polluted environment Y. Pan et al. 10.1016/j.atmosenv.2023.119938
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- Assessment of WRF-CHEM Simulated Dust Using Reanalysis, Satellite Data and Ground-Based Observations A. Rajeev et al. 10.1007/s12524-021-01328-3
- Comprehending dust aerosol impacts on cloud and rainfall distribution during a ‘dust-rain’ storm through WRF-Chem simulations A. Sarkar & J. Panda 10.1007/s11069-025-07438-2
28 citations as recorded by crossref.
- Changes in air pollutant emissions in China during two clean-air action periods derived from the newly developed Inversed Emission Inventory for Chinese Air Quality (CAQIEI) L. Kong et al. 10.5194/essd-16-4351-2024
- Long-range transport impact of a severe dust storm over the Yangtze River Basin region and its modeling sensitivity to dust emission scheme N. Idrissa et al. 10.1016/j.atmosres.2024.107612
- A revised mineral dust emission scheme in GEOS-Chem: improvements in dust simulations over China R. Tian et al. 10.5194/acp-21-4319-2021
- Improving Wet and Dry Deposition of Aerosols in WRF‐Chem: Updates to Below‐Cloud Scavenging and Coarse‐Particle Dry Deposition Y. Ryu & S. Min 10.1029/2021MS002792
- Optimizing the Numerical Simulation of the Dust Event of March 2021: Integrating Aerosol Observations through Multi-Scale 3D Variational Assimilation in the WRF-Chem Model S. Mei et al. 10.3390/rs16111852
- Simulation of an extreme dust episode using WRF-CHEM based on optimal ensemble approach C. Singh et al. 10.1016/j.atmosres.2020.105296
- The impact of local fugitive particulate matter and emission inventories on air quality and health in dry and arid areas H. Hassan et al. 10.1016/j.scitotenv.2022.153799
- Air Pollution Affecting Pollen Concentrations through Radiative Feedback in the Atmosphere C. Skjøth et al. 10.3390/atmos12111376
- Sensitivity and uncertainties assessment in radiative forcing due to aerosol optical properties in diverse locations in China F. Lu et al. 10.1016/j.scitotenv.2022.160447
- Long- and short-term health benefits attributable to PM2.5 constituents reductions from 2013 to 2021: A spatiotemporal analysis in China D. Su et al. 10.1016/j.scitotenv.2023.168184
- Large-scale evaluation of WRF-chem model and dry deposition schemes during a Saharan dust event over the Iberian Peninsula R. Silva et al. 10.1016/j.atmosenv.2025.121293
- Extremely High Concentrations of Ice Particles in East Asian Dust‐Infused Baroclinic Storm (DIBS) Cirrus Shield: Dominant Role of Dust Ice Nucleation Effect Y. Zeng et al. 10.1029/2022JD038034
- Exploring the atmospheric and ecological impacts of a major dust storm: Insights from WRF–Chem simulations H. Yang & W. Fu 10.1016/j.aeolia.2025.100977
- Dust radiation effect on the weather and dust transport over the Taklimakan Desert, China Y. Chen et al. 10.1016/j.atmosres.2022.106600
- A multi-objective framework to select numerical options in air quality prediction models: A case study on dust storm modeling S. Hosseini Dehshiri & B. Firoozabadi 10.1016/j.scitotenv.2022.160681
- A Study of a Severe Spring Dust Event in 2021 over East Asia with WRF-Chem and Multiple Platforms of Observations W. Tang et al. 10.3390/rs14153795
- Improving PM2.5 forecasts with three-dimensional variation data assimilation of visibility observations in China L. Gao et al. 10.1016/j.atmosenv.2025.121296
- Tracking Daily Concentrations of PM2.5 Chemical Composition in China since 2000 S. Liu et al. 10.1021/acs.est.2c06510
- Contrasting roles of clouds as a sink and source of aerosols: A quantitative assessment using WRF-Chem over East Asia Y. Ryu et al. 10.1016/j.atmosenv.2022.119073
- Investigation of an Intense Dust Outbreak in the Mediterranean Using XMed-Dry Network, Multiplatform Observations, and Numerical Modeling U. Rizza et al. 10.3390/app11041566
- Seasonal simulations of summer aerosol optical depth over the Arabian Peninsula using WRF‐Chem: Validation, climatology, and variability R. Karumuri et al. 10.1002/joc.7396
- Polarization Lidar Measurements of Dust Optical Properties at the Junction of the Taklimakan Desert–Tibetan Plateau Q. Dong et al. 10.3390/rs14030558
- Mineral dust scavenges anthropogenic aerosols in polluted environment Y. Pan et al. 10.1016/j.atmosenv.2023.119938
- Sensitivity study and comparative evaluation of WRF-Chem over Iran: Available and embedded dust emission schemes N. Najafpour et al. 10.1016/j.apr.2023.101930
- Modelling the 2021 East Asia super dust storm using FLEXPART and FLEXDUST and its comparison with reanalyses and observations H. Tang et al. 10.3389/fenvs.2022.1013875
- Investigating the role of aerosol wet scavenging on global horizontal irradiance simulation in the WRF-Chem-solar model S. Wang et al. 10.1016/j.apenergy.2025.126062
- Assessment of WRF-CHEM Simulated Dust Using Reanalysis, Satellite Data and Ground-Based Observations A. Rajeev et al. 10.1007/s12524-021-01328-3
- Comprehending dust aerosol impacts on cloud and rainfall distribution during a ‘dust-rain’ storm through WRF-Chem simulations A. Sarkar & J. Panda 10.1007/s11069-025-07438-2
Latest update: 11 Jul 2025
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...
