Articles | Volume 16, issue 7
https://doi.org/10.5194/gmd-16-1961-2023
© Author(s) 2023. 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-16-1961-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
06 Apr 2023
Model description paper |
| 06 Apr 2023
| 06 Apr 2023
ISAT v2.0: an integrated tool for nested-domain configurations and model-ready emission inventories for WRF-AQM
Kun Wang
Institute of Urban Safety and Environmental Science, Beijing Academy of Science and Technology, Beijing 100054, China
Key Laboratory of Marine Environmental Science and Ecology, Ministry of Education, Ocean University of China, Qingdao 266100, China
Chao Gao
Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
Department of Civil and Environmental Engineering, University of California, Irvine, CA 92697, USA
Kaiyun Liu
CORRESPONDING AUTHOR
State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
Haofan Wang
School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai, Guangdong, China
Mo Dan
Institute of Urban Safety and Environmental Science, Beijing Academy of Science and Technology, Beijing 100054, China
Xiaohui Ji
CORRESPONDING AUTHOR
Institute of Urban Safety and Environmental Science, Beijing Academy of Science and Technology, Beijing 100054, China
Qingqing Tong
Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
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Cited
13 citations as recorded by crossref.
- 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
- MEIAT-CMAQ: A modular emission inventory allocation tool for Community Multiscale Air Quality Model H. Wang et al. 10.1016/j.atmosenv.2024.120604
- Research on Ozone Pollution Characteristics and Source Apportionment During the COVID-19 Lockdown in Jilin City in 2022 C. Fang et al. 10.3390/atmos15111324
- Impact of Meteorological Conditions on PM2.5 Pollution in Changchun and Associated Health Risks Analysis C. Fang et al. 10.3390/atmos15050616
- Air quality and health benefits for different heating decarbonization pathways in China K. Liu et al. 10.1016/j.scitotenv.2024.170976
- Assessing the effectiveness of PM2.5 pollution control from the perspective of interprovincial transport and PM2.5 mitigation costs across China Y. Wang et al. 10.1016/j.ese.2024.100448
- Source apportionment and formation of warm season ozone pollution in Chengdu based on CMAQ-ISAM Y. Xian et al. 10.1016/j.uclim.2024.102017
- Characterization of winter PM2.5 source contributions and impacts of meteorological conditions and anthropogenic emission changes in the Sichuan Basin, 2002–2020 Y. Xian et al. 10.1016/j.scitotenv.2024.174557
- An iteratively optimized downscaling method for city-scale air quality forecast emission inventory establishment C. Lu et al. 10.1016/j.scitotenv.2024.176824
- Application of regional meteorology and air quality models based on the microprocessor without interlocked piped stages (MIPS) and LoongArch CPU platforms Z. Bai et al. 10.5194/gmd-17-4383-2024
- Analysis of the Causes of an O3 Pollution Event in Suqian on 18–21 June 2020 Based on the WRF-CMAQ Model J. Wang et al. 10.3390/atmos15070831
- Source Attribution Analysis of an Ozone Concentration Increase Event in the Main Urban Area of Xi’an Using the WRF-CMAQ Model J. Wang et al. 10.3390/atmos15101208
- The reward and penalty for ozone pollution control caused by natural sources and regional transport: A case study in Guangdong province R. Wang et al. 10.1016/j.scitotenv.2024.174984
13 citations as recorded by crossref.
- 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
- MEIAT-CMAQ: A modular emission inventory allocation tool for Community Multiscale Air Quality Model H. Wang et al. 10.1016/j.atmosenv.2024.120604
- Research on Ozone Pollution Characteristics and Source Apportionment During the COVID-19 Lockdown in Jilin City in 2022 C. Fang et al. 10.3390/atmos15111324
- Impact of Meteorological Conditions on PM2.5 Pollution in Changchun and Associated Health Risks Analysis C. Fang et al. 10.3390/atmos15050616
- Air quality and health benefits for different heating decarbonization pathways in China K. Liu et al. 10.1016/j.scitotenv.2024.170976
- Assessing the effectiveness of PM2.5 pollution control from the perspective of interprovincial transport and PM2.5 mitigation costs across China Y. Wang et al. 10.1016/j.ese.2024.100448
- Source apportionment and formation of warm season ozone pollution in Chengdu based on CMAQ-ISAM Y. Xian et al. 10.1016/j.uclim.2024.102017
- Characterization of winter PM2.5 source contributions and impacts of meteorological conditions and anthropogenic emission changes in the Sichuan Basin, 2002–2020 Y. Xian et al. 10.1016/j.scitotenv.2024.174557
- An iteratively optimized downscaling method for city-scale air quality forecast emission inventory establishment C. Lu et al. 10.1016/j.scitotenv.2024.176824
- Application of regional meteorology and air quality models based on the microprocessor without interlocked piped stages (MIPS) and LoongArch CPU platforms Z. Bai et al. 10.5194/gmd-17-4383-2024
- Analysis of the Causes of an O3 Pollution Event in Suqian on 18–21 June 2020 Based on the WRF-CMAQ Model J. Wang et al. 10.3390/atmos15070831
- Source Attribution Analysis of an Ozone Concentration Increase Event in the Main Urban Area of Xi’an Using the WRF-CMAQ Model J. Wang et al. 10.3390/atmos15101208
- The reward and penalty for ozone pollution control caused by natural sources and regional transport: A case study in Guangdong province R. Wang et al. 10.1016/j.scitotenv.2024.174984
Latest update: 18 Nov 2024
Short summary
This study establishes an easy-to-use and integrated framework for a model-ready emission inventory for the Weather Research and Forecasting (WRF)–Air Quality Numerical Model (AQM). A free tool called the ISAT (Inventory Spatial Allocation Tool) was developed based on this framework. ISAT helps users complete the workflow from the WRF nested-domain configuration to a model-ready emission inventory for AQM with a regional emission inventory and a shapefile for the target region.
This study establishes an easy-to-use and integrated framework for a model-ready emission...
