Articles | Volume 14, issue 6
https://doi.org/10.5194/gmd-14-3741-2021
© Author(s) 2021. 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-14-3741-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
23 Jun 2021
Model description paper |
| 23 Jun 2021
| 23 Jun 2021
WRF-GC (v2.0): online two-way coupling of WRF (v3.9.1.1) and GEOS-Chem (v12.7.2) for modeling regional atmospheric chemistry–meteorology interactions
Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China
Haipeng Lin
John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, China
Shenzhen Institute of Sustainable Development, Southern University of Science and Technology, Shenzhen, Guangdong, China
Melissa P. Sulprizio
John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
Jiawei Zhuang
John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
Daniel J. Jacob
John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
Heng Tian
Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China
Yaping Ma
National Meteorological Information Center, China Meteorological Administration, Beijing, China
Lijuan Zhang
Shanghai Central Meteorological Observatory, Shanghai, China
Xiaolin Wang
Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China
State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, China
Zhiwei Han
Key Laboratory of Regional Climate-Environment for Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
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Cited
20 citations as recorded by crossref.
- Harmonized Emissions Component (HEMCO) 3.0 as a versatile emissions component for atmospheric models: application in the GEOS-Chem, NASA GEOS, WRF-GC, CESM2, NOAA GEFS-Aerosol, and NOAA UFS models H. Lin et al. 10.5194/gmd-14-5487-2021
- Implementation and evaluation of the GEOS-Chem chemistry module version 13.1.2 within the Community Earth System Model v2.1 T. Fritz et al. 10.5194/gmd-15-8669-2022
- Aerosol presence reduces the diurnal temperature range: an interval when the COVID-19 pandemic reduced aerosols revealing the effect on climate S. Hu et al. 10.1039/D1EA00021G
- Aerosol‐Radiation Interactions in China in Winter: Competing Effects of Reduced Shortwave Radiation and Cloud‐Snowfall‐Albedo Feedbacks Under Rapidly Changing Emissions J. Moch et al. 10.1029/2021JD035442
- Impacts of Ship Emissions on Air Quality in Southern China: Opportunistic Insights from the Abrupt Emission Changes in Early 2020 X. Feng et al. 10.1021/acs.est.3c04155
- Temperature-Dependent Evaporative Anthropogenic VOC Emissions Significantly Exacerbate Regional Ozone Pollution W. Wu et al. 10.1021/acs.est.3c09122
- Global estimates of ambient reactive nitrogen components during 2000–2100 based on the multi-stage model R. Li et al. 10.5194/acp-24-7623-2024
- Intercomparison of GEOS-Chem and CAM-chem tropospheric oxidant chemistry within the Community Earth System Model version 2 (CESM2) H. Lin et al. 10.5194/acp-24-8607-2024
- Global spatiotemporal estimation of daily high-resolution surface carbon monoxide concentrations using Deep Forest Y. Wang et al. 10.1016/j.jclepro.2022.131500
- Investigating uncertainties in air quality models used in GMAP/SIJAQ 2021 field campaign: General performance of different models and ensemble results Y. Cha et al. 10.1016/j.atmosenv.2024.120896
- Deep Learning‐Based Ensemble Forecasts and Predictability Assessments for Surface Ozone Pollution A. Zhang et al. 10.1029/2022GL102611
- Impacts of anthropogenic emissions and meteorology on spring ozone differences in San Antonio, Texas between 2017 and 2021 X. Liu et al. 10.1016/j.scitotenv.2023.169693
- 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
- Modeling the high-mercury wet deposition in the southeastern US with WRF-GC-Hg v1.0 X. Xu et al. 10.5194/gmd-15-3845-2022
- Performance and application of air quality models on ozone simulation in China – A review J. Yang & Y. Zhao 10.1016/j.atmosenv.2022.119446
- 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
- Impacts of Pollutant Emissions from Typical Petrochemical Enterprises on Air Quality in the North China Plain Z. Zhang et al. 10.3390/atmos14030545
- Evaluating WRF-GC v2.0 predictions of boundary layer height and vertical ozone profile during the 2021 TRACER-AQ campaign in Houston, Texas X. Liu et al. 10.5194/gmd-16-5493-2023
- Modifications on the coastal atmospheric sulfur and cloud condensation nuclei along the Eastern China seas by shipping fuel transition J. Mao et al. 10.1016/j.scitotenv.2024.173142
- Improved advection, resolution, performance, and community access in the new generation (version 13) of the high-performance GEOS-Chem global atmospheric chemistry model (GCHP) R. Martin et al. 10.5194/gmd-15-8731-2022
20 citations as recorded by crossref.
- Harmonized Emissions Component (HEMCO) 3.0 as a versatile emissions component for atmospheric models: application in the GEOS-Chem, NASA GEOS, WRF-GC, CESM2, NOAA GEFS-Aerosol, and NOAA UFS models H. Lin et al. 10.5194/gmd-14-5487-2021
- Implementation and evaluation of the GEOS-Chem chemistry module version 13.1.2 within the Community Earth System Model v2.1 T. Fritz et al. 10.5194/gmd-15-8669-2022
- Aerosol presence reduces the diurnal temperature range: an interval when the COVID-19 pandemic reduced aerosols revealing the effect on climate S. Hu et al. 10.1039/D1EA00021G
- Aerosol‐Radiation Interactions in China in Winter: Competing Effects of Reduced Shortwave Radiation and Cloud‐Snowfall‐Albedo Feedbacks Under Rapidly Changing Emissions J. Moch et al. 10.1029/2021JD035442
- Impacts of Ship Emissions on Air Quality in Southern China: Opportunistic Insights from the Abrupt Emission Changes in Early 2020 X. Feng et al. 10.1021/acs.est.3c04155
- Temperature-Dependent Evaporative Anthropogenic VOC Emissions Significantly Exacerbate Regional Ozone Pollution W. Wu et al. 10.1021/acs.est.3c09122
- Global estimates of ambient reactive nitrogen components during 2000–2100 based on the multi-stage model R. Li et al. 10.5194/acp-24-7623-2024
- Intercomparison of GEOS-Chem and CAM-chem tropospheric oxidant chemistry within the Community Earth System Model version 2 (CESM2) H. Lin et al. 10.5194/acp-24-8607-2024
- Global spatiotemporal estimation of daily high-resolution surface carbon monoxide concentrations using Deep Forest Y. Wang et al. 10.1016/j.jclepro.2022.131500
- Investigating uncertainties in air quality models used in GMAP/SIJAQ 2021 field campaign: General performance of different models and ensemble results Y. Cha et al. 10.1016/j.atmosenv.2024.120896
- Deep Learning‐Based Ensemble Forecasts and Predictability Assessments for Surface Ozone Pollution A. Zhang et al. 10.1029/2022GL102611
- Impacts of anthropogenic emissions and meteorology on spring ozone differences in San Antonio, Texas between 2017 and 2021 X. Liu et al. 10.1016/j.scitotenv.2023.169693
- 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
- Modeling the high-mercury wet deposition in the southeastern US with WRF-GC-Hg v1.0 X. Xu et al. 10.5194/gmd-15-3845-2022
- Performance and application of air quality models on ozone simulation in China – A review J. Yang & Y. Zhao 10.1016/j.atmosenv.2022.119446
- 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
- Impacts of Pollutant Emissions from Typical Petrochemical Enterprises on Air Quality in the North China Plain Z. Zhang et al. 10.3390/atmos14030545
- Evaluating WRF-GC v2.0 predictions of boundary layer height and vertical ozone profile during the 2021 TRACER-AQ campaign in Houston, Texas X. Liu et al. 10.5194/gmd-16-5493-2023
- Modifications on the coastal atmospheric sulfur and cloud condensation nuclei along the Eastern China seas by shipping fuel transition J. Mao et al. 10.1016/j.scitotenv.2024.173142
- Improved advection, resolution, performance, and community access in the new generation (version 13) of the high-performance GEOS-Chem global atmospheric chemistry model (GCHP) R. Martin et al. 10.5194/gmd-15-8731-2022
Latest update: 13 Dec 2024
Short summary
WRF-GC is an online coupling of the WRF meteorological model and GEOS-Chem chemical transport model for regional atmospheric chemistry and air quality modeling. In WRF-GC v2.0, we implemented the aerosol–radiation interactions and aerosol–cloud interactions, as well as the capability to nest multiple domains for high-resolution simulations based on the modular framework of WRF-GC v1.0. This allows the GEOS-Chem users to investigate the meteorology–atmospheric chemistry interactions.
WRF-GC is an online coupling of the WRF meteorological model and GEOS-Chem chemical transport...
