Articles | Volume 18, issue 23
https://doi.org/10.5194/acp-18-17421-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/acp-18-17421-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Evaluating the performance of two surface layer schemes for the momentum and heat exchange processes during severe haze pollution in Jing-Jin-Ji in eastern China
State Key Laboratory of Severe Weather/Institute of Atmospheric
Composition, Chinese Academy of Meteorological Sciences (CMAS), Beijing
100081, China
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters/Key Laboratory for Aerosol-Cloud-Precipitation of
China Meteorological Administration, Nanjing University of Information
Science and Technology, Nanjing 210044, China
State Key Laboratory of Severe Weather/Institute of Atmospheric
Composition, Chinese Academy of Meteorological Sciences (CMAS), Beijing
100081, China
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters/Key Laboratory for Aerosol-Cloud-Precipitation of
China Meteorological Administration, Nanjing University of Information
Science and Technology, Nanjing 210044, China
Yubin Li
Key Laboratory of Meteorological Disaster of Ministry of
Education/Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters, School of Atmospheric Physics, Nanjing University
of Information Science and Technology, Nanjing 210044, China
Changwei Liu
Key Laboratory of Meteorological Disaster of Ministry of
Education/Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters, School of Atmospheric Physics, Nanjing University
of Information Science and Technology, Nanjing 210044, China
Tianliang Zhao
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters/Key Laboratory for Aerosol-Cloud-Precipitation of
China Meteorological Administration, Nanjing University of Information
Science and Technology, Nanjing 210044, China
Xiaoye Zhang
State Key Laboratory of Severe Weather/Institute of Atmospheric
Composition, Chinese Academy of Meteorological Sciences (CMAS), Beijing
100081, China
Zhiqiu Gao
Key Laboratory of Meteorological Disaster of Ministry of
Education/Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters, School of Atmospheric Physics, Nanjing University
of Information Science and Technology, Nanjing 210044, China
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing 100029, China
Tong Jiang
National Climate Center, China Meteorological Administration,
Beijing 100081, China
Huizheng Che
State Key Laboratory of Severe Weather/Institute of Atmospheric
Composition, Chinese Academy of Meteorological Sciences (CMAS), Beijing
100081, China
Meng Zhang
Beijing Meteorological Service, Beijing 100089, China
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Cited
8 citations as recorded by crossref.
- Impacts of PBL schemes on PM2.5 simulation and their responses to aerosol-radiation feedback in GRAPES_CUACE model during severe haze episodes in Jing-Jin-Ji, China Y. Peng et al. 10.1016/j.atmosres.2020.105268
- Impacts of uncertainties in emissions on aerosol data assimilation and short-term PM2.5 predictions over Northeast Asia S. Lee et al. 10.1016/j.atmosenv.2021.118921
- Comparison of Urban Canopy Schemes and Surface Layer Schemes in the Simulation of a Heatwave in the Xiongan New Area Y. Xu et al. 10.3390/atmos13091472
- Review of Chinese atmospheric science research over the past 70 years: Atmospheric physics and atmospheric environment T. Wang et al. 10.1007/s11430-019-9536-1
- Investigation on Air Ventilation within Idealised Urban Wind Corridors and the Influence of Structural Factors with Numerical Simulations W. Xu et al. 10.3390/su151813817
- Improved method of visibility parameterization focusing on high humidity and aerosol concentrations during fog–haze events: Application in the GRAPES_CAUCE model in Jing-Jin-Ji, China Y. Peng et al. 10.1016/j.atmosenv.2019.117139
- Comparison of the turbulence structure during light and heavy haze pollution episodes Y. Ren et al. 10.1016/j.atmosres.2019.104645
- Particle number size distribution of PM1 and PM10 in fogs and implications on fog droplet evolutions S. Wu et al. 10.1016/j.atmosenv.2022.119086
8 citations as recorded by crossref.
- Impacts of PBL schemes on PM2.5 simulation and their responses to aerosol-radiation feedback in GRAPES_CUACE model during severe haze episodes in Jing-Jin-Ji, China Y. Peng et al. 10.1016/j.atmosres.2020.105268
- Impacts of uncertainties in emissions on aerosol data assimilation and short-term PM2.5 predictions over Northeast Asia S. Lee et al. 10.1016/j.atmosenv.2021.118921
- Comparison of Urban Canopy Schemes and Surface Layer Schemes in the Simulation of a Heatwave in the Xiongan New Area Y. Xu et al. 10.3390/atmos13091472
- Review of Chinese atmospheric science research over the past 70 years: Atmospheric physics and atmospheric environment T. Wang et al. 10.1007/s11430-019-9536-1
- Investigation on Air Ventilation within Idealised Urban Wind Corridors and the Influence of Structural Factors with Numerical Simulations W. Xu et al. 10.3390/su151813817
- Improved method of visibility parameterization focusing on high humidity and aerosol concentrations during fog–haze events: Application in the GRAPES_CAUCE model in Jing-Jin-Ji, China Y. Peng et al. 10.1016/j.atmosenv.2019.117139
- Comparison of the turbulence structure during light and heavy haze pollution episodes Y. Ren et al. 10.1016/j.atmosres.2019.104645
- Particle number size distribution of PM1 and PM10 in fogs and implications on fog droplet evolutions S. Wu et al. 10.1016/j.atmosenv.2022.119086
Latest update: 30 Mar 2025
Short summary
Two surface layer schemes are evaluated in eastern China based on observational flux data. The results indicate that the Li scheme better describes regional atmosphere stratification compared with the MM5 scheme, especially for the transition stage from unstable to stable atmosphere conditions, corresponding to PM2.5 accumulation. Our research suggests the potential improved possibilities for severe haze prediction in eastern China by coupling Li online into atmosphere chemical models.
Two surface layer schemes are evaluated in eastern China based on observational flux data. The...
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