Articles | Volume 16, issue 1
https://doi.org/10.5194/acp-16-145-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-16-145-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
18 Jan 2016
Research article |
| 18 Jan 2016
Improving aerosol interaction with clouds and precipitation in a regional chemical weather modeling system
C. Zhou
CORRESPONDING AUTHOR
Institute of Atmospheric Composition, Chinese Academy of Meteorological
Sciences, China Meteorological Administration (CMA), Beijing 100081, China
X. Zhang
Institute of Atmospheric Composition, Chinese Academy of Meteorological
Sciences, China Meteorological Administration (CMA), Beijing 100081, China
S. Gong
Institute of Atmospheric Composition, Chinese Academy of Meteorological
Sciences, China Meteorological Administration (CMA), Beijing 100081, China
Y. Wang
Institute of Atmospheric Composition, Chinese Academy of Meteorological
Sciences, China Meteorological Administration (CMA), Beijing 100081, China
M. Xue
Institute of Atmospheric Composition, Chinese Academy of Meteorological
Sciences, China Meteorological Administration (CMA), Beijing 100081, China
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Cited
18 citations as recorded by crossref.
- The application study of the revised IMPROVE atmospheric extinction algorithm in atmospheric chemistry model focusing on improving low visibility prediction in eastern China C. Han et al. 10.1016/j.atmosres.2023.107135
- The impact of aerosol-cloud interaction on mesoscale numerical weather prediction when low-cloud and haze coexist in winter over major polluted regions of China W. Zhang et al. 10.1016/j.atmosenv.2023.120270
- Multi-dimensional satellite observations of aerosol properties and aerosol types over three major urban clusters in eastern China Y. Liu et al. 10.5194/acp-21-12331-2021
- Aerosol radiative effects on mesoscale cloud–precipitation variables over Northeast Asia during the MAPS-Seoul 2015 campaign S. Park et al. 10.1016/j.atmosenv.2017.10.044
- Assessment of the impacts of cloud chemistry on surface SO2 and sulfate levels in typical regions of China J. Lu et al. 10.5194/acp-23-8021-2023
- Contributions to the explosive growth of PM<sub>2.5</sub> mass due to aerosol–radiation feedback and decrease in turbulent diffusion during a red alert heavy haze in Beijing–Tianjin–Hebei, China H. Wang et al. 10.5194/acp-18-17717-2018
- Type‐Dependent Impact of Aerosols on Precipitation Associated With Deep Convective Cloud Over East Asia X. Han et al. 10.1029/2021JD036127
- Aerosol–cloud interaction in the atmospheric chemistry model GRAPES_Meso5.1/CUACE and its impacts on mesoscale numerical weather prediction under haze pollution conditions in Jing–Jin–Ji in China W. Zhang et al. 10.5194/acp-22-15207-2022
- Applying the WRF Double-Moment Six-Class Microphysics Scheme in the GRAPES_Meso Model: A Case Study M. Zhang et al. 10.1007/s13351-018-7066-1
- Characteristics, Physical Mechanisms, and Prediction of Pre-summer Rainfall over South China: Research Progress during 2008–2019 Y. Luo et al. 10.2151/jmsj.2020-002
- Simulating Aerosol Size Distribution and Mass Concentration with Simultaneous Nucleation, Condensation/Coagulation, and Deposition with the GRAPES–CUACE C. Zhou et al. 10.1007/s13351-018-7116-8
- Biomass burning CCN enhance the dynamics of a mesoscale convective system over the La Plata Basin: a numerical approach G. Camponogara et al. 10.5194/acp-18-2081-2018
- Understanding of Aerosol–Climate Interactions in China: Aerosol Impacts on Solar Radiation, Temperature, Cloud, and Precipitation and Its Changes Under Future Climate and Emission Scenarios S. Liu et al. 10.1007/s40726-019-00107-6
- Efficient Method of Moments for Simulating Atmospheric Aerosol Growth: Model Description, Verification, and Application J. Shen et al. 10.1029/2019JD032172
- Intercomparison of multiple two-way coupled meteorology and air quality models (WRF v4.1.1–CMAQ v5.3.1, WRF–Chem v4.1.1, and WRF v3.7.1–CHIMERE v2020r1) in eastern China C. Gao et al. 10.5194/gmd-17-2471-2024
- Application of a Neural Network to Store and Compute the Optical Properties of Non-Spherical Particles J. Yu et al. 10.1007/s00376-021-1375-5
- Two-way coupled meteorology and air quality models in Asia: a systematic review and meta-analysis of impacts of aerosol feedbacks on meteorology and air quality C. Gao et al. 10.5194/acp-22-5265-2022
- Incorporation and improvement of a heterogeneous chemistry mechanism in the atmospheric chemistry model GRAPES_Meso5.1/CUACE and its impacts on secondary inorganic aerosol and PM2.5 simulations in Middle-Eastern China Z. Liu et al. 10.1016/j.scitotenv.2022.157530
18 citations as recorded by crossref.
- The application study of the revised IMPROVE atmospheric extinction algorithm in atmospheric chemistry model focusing on improving low visibility prediction in eastern China C. Han et al. 10.1016/j.atmosres.2023.107135
- The impact of aerosol-cloud interaction on mesoscale numerical weather prediction when low-cloud and haze coexist in winter over major polluted regions of China W. Zhang et al. 10.1016/j.atmosenv.2023.120270
- Multi-dimensional satellite observations of aerosol properties and aerosol types over three major urban clusters in eastern China Y. Liu et al. 10.5194/acp-21-12331-2021
- Aerosol radiative effects on mesoscale cloud–precipitation variables over Northeast Asia during the MAPS-Seoul 2015 campaign S. Park et al. 10.1016/j.atmosenv.2017.10.044
- Assessment of the impacts of cloud chemistry on surface SO2 and sulfate levels in typical regions of China J. Lu et al. 10.5194/acp-23-8021-2023
- Contributions to the explosive growth of PM<sub>2.5</sub> mass due to aerosol–radiation feedback and decrease in turbulent diffusion during a red alert heavy haze in Beijing–Tianjin–Hebei, China H. Wang et al. 10.5194/acp-18-17717-2018
- Type‐Dependent Impact of Aerosols on Precipitation Associated With Deep Convective Cloud Over East Asia X. Han et al. 10.1029/2021JD036127
- Aerosol–cloud interaction in the atmospheric chemistry model GRAPES_Meso5.1/CUACE and its impacts on mesoscale numerical weather prediction under haze pollution conditions in Jing–Jin–Ji in China W. Zhang et al. 10.5194/acp-22-15207-2022
- Applying the WRF Double-Moment Six-Class Microphysics Scheme in the GRAPES_Meso Model: A Case Study M. Zhang et al. 10.1007/s13351-018-7066-1
- Characteristics, Physical Mechanisms, and Prediction of Pre-summer Rainfall over South China: Research Progress during 2008–2019 Y. Luo et al. 10.2151/jmsj.2020-002
- Simulating Aerosol Size Distribution and Mass Concentration with Simultaneous Nucleation, Condensation/Coagulation, and Deposition with the GRAPES–CUACE C. Zhou et al. 10.1007/s13351-018-7116-8
- Biomass burning CCN enhance the dynamics of a mesoscale convective system over the La Plata Basin: a numerical approach G. Camponogara et al. 10.5194/acp-18-2081-2018
- Understanding of Aerosol–Climate Interactions in China: Aerosol Impacts on Solar Radiation, Temperature, Cloud, and Precipitation and Its Changes Under Future Climate and Emission Scenarios S. Liu et al. 10.1007/s40726-019-00107-6
- Efficient Method of Moments for Simulating Atmospheric Aerosol Growth: Model Description, Verification, and Application J. Shen et al. 10.1029/2019JD032172
- Intercomparison of multiple two-way coupled meteorology and air quality models (WRF v4.1.1–CMAQ v5.3.1, WRF–Chem v4.1.1, and WRF v3.7.1–CHIMERE v2020r1) in eastern China C. Gao et al. 10.5194/gmd-17-2471-2024
- Application of a Neural Network to Store and Compute the Optical Properties of Non-Spherical Particles J. Yu et al. 10.1007/s00376-021-1375-5
- Two-way coupled meteorology and air quality models in Asia: a systematic review and meta-analysis of impacts of aerosol feedbacks on meteorology and air quality C. Gao et al. 10.5194/acp-22-5265-2022
- Incorporation and improvement of a heterogeneous chemistry mechanism in the atmospheric chemistry model GRAPES_Meso5.1/CUACE and its impacts on secondary inorganic aerosol and PM2.5 simulations in Middle-Eastern China Z. Liu et al. 10.1016/j.scitotenv.2022.157530
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Latest update: 11 Dec 2024
Short summary
A comprehensive aerosol-cloud-precipitation interaction (ACI) scheme from emissions to precipitation has been developed under the CMA chemical weather modeling system GRAPES/CUACE. The ACI for January 2013 has been studied using this model. The interactive microphysical properties of clouds improve the precipitation, showing 24 to 48 % enhancements of threat score for 6 h precipitation in all regions and reduction of the regional mean bias of temperature by 3 °C in certain precipitation events.
A comprehensive aerosol-cloud-precipitation interaction (ACI) scheme from emissions to...
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