Articles | Volume 16, issue 1
https://doi.org/10.5194/acp-16-397-2016
© 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-16-397-2016
© 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
Evaluating the skill of high-resolution WRF-Chem simulations in describing drivers of aerosol direct climate forcing on the regional scale
COMET, School of Civil Engineering and Geosciences, Cassie Building, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK
R. C. Sullivan
Department of Earth and Atmospheric Sciences, Bradfield Hall, 306 Tower Road, Cornell University, Ithaca, NY 14853, USA
A. Thota
Pervasive Technology Institute, Indiana University, Bloomington, IN 47405, USA
S. C. Pryor
Department of Earth and Atmospheric Sciences, Bradfield Hall, 306 Tower Road, Cornell University, Ithaca, NY 14853, USA
Pervasive Technology Institute, Indiana University, Bloomington, IN 47405, USA
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Cited
22 citations as recorded by crossref.
- High spatial resolution WRF-Chem model over Asia: Physics and chemistry evaluation P. Sicard et al. 10.1016/j.atmosenv.2020.118004
- Acute and chronic health impacts of PM2.5 in China and the influence of interannual meteorological variability Y. Wang et al. 10.1016/j.atmosenv.2020.117397
- The evolution of open biomass burning during summer crop harvest in the North China Plain S. Li et al. 10.1177/03091333231187817
- The impact of resolution on meteorological, chemical and aerosol properties in regional simulations with WRF-Chem P. Crippa et al. 10.5194/acp-17-1511-2017
- WITHDRAWN: Cause and predictability for the severe haze pollutions in downtown Beijing during November–December 2015 Z. Zhang et al. 10.1016/j.scitotenv.2016.12.070
- Aerosol optical properties of haze episodes in eastern China based on remote-sensing observations and WRF-Chem simulations Y. Ma et al. 10.1016/j.scitotenv.2020.143784
- Three-year, 5 km resolution China PM 2.5 simulation: Model performance evaluation Y. Wang et al. 10.1016/j.atmosres.2018.02.016
- WRF-Chem Simulation for Modeling Seasonal Variations and Distributions of Aerosol Pollutants over the Middle East M. Shahid et al. 10.3390/rs13112112
- Estimation of particulate matter pollution using WRF-Chem during dust storm event over India M. Soni et al. 10.1016/j.uclim.2022.101202
- New particle formation leads to cloud dimming R. Sullivan et al. 10.1038/s41612-018-0019-7
- Cause and predictability for the severe haze pollution in downtown Beijing in November–December 2015 Z. Zhang et al. 10.1016/j.scitotenv.2017.03.009
- Multidecadal trend analysis of in situ aerosol radiative properties around the world M. Collaud Coen et al. 10.5194/acp-20-8867-2020
- Extreme Aerosol Events Over Eastern North America: 1. Characterizing and Simulating Historical Events Y. Guo et al. 10.1029/2020JD033758
- Impacts on Meteorological Parameters and Pollutants by Aerosol Direct Radiative Effect Over Tianjin, China J. Hao et al. 10.3389/fenvs.2022.947894
- Numerical simulations of the effects of regional topography on haze pollution in Beijing Z. Zhang et al. 10.1038/s41598-018-23880-8
- Advances in the characterization of aerosol optical properties using long-term data from AERONET in Buenos Aires L. Cúneo et al. 10.1016/j.apr.2022.101360
- Remote sensing of aerosols due to biomass burning over Kanpur, Sao-Paulo, Ilorin and Canberra S. Tariq et al. 10.1007/s10874-022-09444-1
- Large-Scale Landslide Susceptibility Mapping Using an Integrated Machine Learning Model: A Case Study in the Lvliang Mountains of China Y. Xing et al. 10.3389/feart.2021.722491
- Air Quality Forecast Monitoring and Its Impact on Brain Health Based on Big Data and the Internet of Things Y. Huang et al. 10.1109/ACCESS.2018.2885142
- Retrieval of High Temporal Resolution Aerosol Optical Depth Using the GOCI Remote Sensing Data L. Chen et al. 10.3390/rs13122376
- Predictability of the winter haze pollution in Beijing–Tianjin–Hebei region in the context of stringent emission control Z. Zhang et al. 10.1016/j.apr.2022.101392
- Using Lidar technology to assess regional air pollution and improve estimates of PM2.5 transport in the North China Plain Y. Xiang et al. 10.1088/1748-9326/ab9cfd
22 citations as recorded by crossref.
- High spatial resolution WRF-Chem model over Asia: Physics and chemistry evaluation P. Sicard et al. 10.1016/j.atmosenv.2020.118004
- Acute and chronic health impacts of PM2.5 in China and the influence of interannual meteorological variability Y. Wang et al. 10.1016/j.atmosenv.2020.117397
- The evolution of open biomass burning during summer crop harvest in the North China Plain S. Li et al. 10.1177/03091333231187817
- The impact of resolution on meteorological, chemical and aerosol properties in regional simulations with WRF-Chem P. Crippa et al. 10.5194/acp-17-1511-2017
- WITHDRAWN: Cause and predictability for the severe haze pollutions in downtown Beijing during November–December 2015 Z. Zhang et al. 10.1016/j.scitotenv.2016.12.070
- Aerosol optical properties of haze episodes in eastern China based on remote-sensing observations and WRF-Chem simulations Y. Ma et al. 10.1016/j.scitotenv.2020.143784
- Three-year, 5 km resolution China PM 2.5 simulation: Model performance evaluation Y. Wang et al. 10.1016/j.atmosres.2018.02.016
- WRF-Chem Simulation for Modeling Seasonal Variations and Distributions of Aerosol Pollutants over the Middle East M. Shahid et al. 10.3390/rs13112112
- Estimation of particulate matter pollution using WRF-Chem during dust storm event over India M. Soni et al. 10.1016/j.uclim.2022.101202
- New particle formation leads to cloud dimming R. Sullivan et al. 10.1038/s41612-018-0019-7
- Cause and predictability for the severe haze pollution in downtown Beijing in November–December 2015 Z. Zhang et al. 10.1016/j.scitotenv.2017.03.009
- Multidecadal trend analysis of in situ aerosol radiative properties around the world M. Collaud Coen et al. 10.5194/acp-20-8867-2020
- Extreme Aerosol Events Over Eastern North America: 1. Characterizing and Simulating Historical Events Y. Guo et al. 10.1029/2020JD033758
- Impacts on Meteorological Parameters and Pollutants by Aerosol Direct Radiative Effect Over Tianjin, China J. Hao et al. 10.3389/fenvs.2022.947894
- Numerical simulations of the effects of regional topography on haze pollution in Beijing Z. Zhang et al. 10.1038/s41598-018-23880-8
- Advances in the characterization of aerosol optical properties using long-term data from AERONET in Buenos Aires L. Cúneo et al. 10.1016/j.apr.2022.101360
- Remote sensing of aerosols due to biomass burning over Kanpur, Sao-Paulo, Ilorin and Canberra S. Tariq et al. 10.1007/s10874-022-09444-1
- Large-Scale Landslide Susceptibility Mapping Using an Integrated Machine Learning Model: A Case Study in the Lvliang Mountains of China Y. Xing et al. 10.3389/feart.2021.722491
- Air Quality Forecast Monitoring and Its Impact on Brain Health Based on Big Data and the Internet of Things Y. Huang et al. 10.1109/ACCESS.2018.2885142
- Retrieval of High Temporal Resolution Aerosol Optical Depth Using the GOCI Remote Sensing Data L. Chen et al. 10.3390/rs13122376
- Predictability of the winter haze pollution in Beijing–Tianjin–Hebei region in the context of stringent emission control Z. Zhang et al. 10.1016/j.apr.2022.101392
- Using Lidar technology to assess regional air pollution and improve estimates of PM2.5 transport in the North China Plain Y. Xiang et al. 10.1088/1748-9326/ab9cfd
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Latest update: 21 Nov 2024
Short summary
We evaluate the performance of high-resolution simulations of the Weather Research and Forecasting model coupled with Chemistry in capturing spatiotemporal variability of aerosol optical properties by comparison with ground- and space- based remote-sensing observations and investigate causes of model biases. This work contributes to assessing the model's ability to describe drivers of aerosol direct radiative forcing in the contemporary climate and to improving confidence in future projections.
We evaluate the performance of high-resolution simulations of the Weather Research and...
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