Articles | Volume 19, issue 1
https://doi.org/10.5194/acp-19-603-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-19-603-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Jan 2019
Research article |
| 16 Jan 2019
| 16 Jan 2019
Comparison of surface ozone simulation among selected regional models in MICS-Asia III – effects of chemistry and vertical transport for the causes of difference
Hajime Akimoto
CORRESPONDING AUTHOR
National Institute for Environmental Studies, Onogawa, Tsukuba 305-8506, Japan
Tatsuya Nagashima
National Institute for Environmental Studies, Onogawa, Tsukuba 305-8506, Japan
Jie Li
Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Joshua S. Fu
Department of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN 37996, USA
Dongsheng Ji
Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Jiani Tan
Department of Civil and Environmental Engineering, University of Tennessee, Knoxville, TN 37996, USA
Zifa Wang
Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
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25 citations as recorded by crossref.
- Satellite-Based Diagnosis and Numerical Verification of Ozone Formation Regimes over Nine Megacities in East Asia H. Lee et al. 10.3390/rs14051285
- Implementation of HONO into the chemistry–climate model CHASER (V4.0): roles in tropospheric chemistry P. Ha et al. 10.5194/gmd-16-927-2023
- MICS-Asia III: overview of model intercomparison and evaluation of acid deposition over Asia S. Itahashi et al. 10.5194/acp-20-2667-2020
- High-spatiotemporal-resolution inverse estimation of CO and NOx emission reductions during emission control periods with a modified ensemble Kalman filter H. Wu et al. 10.1016/j.atmosenv.2020.117631
- Diagnosing the Model Bias in Simulating Daily Surface Ozone Variability Using a Machine Learning Method: The Effects of Dry Deposition and Cloud Optical Depth X. Ye et al. 10.1021/acs.est.2c05712
- Insights into seasonal variation of wet deposition over southeast Asia via precipitation adjustment from the findings of MICS-Asia III S. Itahashi et al. 10.5194/acp-21-8709-2021
- An integrated air quality modeling system coupling regional-urban and street models in Beijing T. Wang et al. 10.1016/j.uclim.2022.101143
- Multi-model intercomparisons of air quality simulations for the KORUS-AQ campaign R. Park et al. 10.1525/elementa.2021.00139
- Evaluation and Bias Correction of the Secondary Inorganic Aerosol Modeling over North China Plain in Autumn and Winter Q. Wu et al. 10.3390/atmos12050578
- Deeper NOx emission reductions toward better air quality in the Yangtze River Delta: Numerical evidences from NOx and VOCs emissions control measures C. Liu et al. 10.1016/j.atmosres.2025.108103
- Simulation model of Reactive Nitrogen Species in an Urban Atmosphere using a Deep Neural Network: RNDv1.0 J. Gil et al. 10.5194/gmd-16-5251-2023
- Development of an integrated machine learning model to improve the secondary inorganic aerosol simulation over the Beijing–Tianjin–Hebei region N. Ding et al. 10.1016/j.atmosenv.2024.120483
- Novel index to comprehensively evaluate air cleanliness: the Clean aIr Index (CII) T. Sato et al. 10.5194/gc-3-233-2020
- Modeling Ozone Source Apportionment and Performing Sensitivity Analysis in Summer on the North China Plain Y. Zhang et al. 10.3390/atmos11090992
- Spatial and temporal variations of surface background ozone in China analyzed with the grid-stretching capability of GEOS-Chem High Performance X. Ye et al. 10.1016/j.scitotenv.2024.169909
- Model evaluation and intercomparison of surface-level ozone and relevant species in East Asia in the context of MICS-Asia Phase III – Part 1: Overview J. Li et al. 10.5194/acp-19-12993-2019
- Large contributions of soil emissions to the atmospheric nitrogen budget and their impacts on air quality and temperature rise in North China T. Sha et al. 10.5194/acp-24-8441-2024
- A review of gas-phase chemical mechanisms commonly used in atmospheric chemistry modelling Y. Liu et al. 10.1016/j.jes.2022.10.031
- Assessing CMAQ model discrepancies in a heavily polluted air basin using UAV vertical profiles and sensitivity analyses Z. Zhu et al. 10.1039/D4EA00004H
- Identifying key factors influencing model performance on ground-level ozone over urban areas in Japan through model inter-comparisons S. Chatani et al. 10.1016/j.atmosenv.2019.117255
- Improvement of the ozone forecast over Beijing through combining the chemical transport model with multiple machine learning methods J. Xie et al. 10.1016/j.apr.2024.102184
- Reconciling the bottom-up methodology and ground measurement constraints to improve the city-scale NMVOCs emission inventory: A case study of Nanjing, China R. Wu et al. 10.1016/j.scitotenv.2021.152447
- A review of the CAMx, CMAQ, WRF-Chem and NAQPMS models: Application, evaluation and uncertainty factors Z. Gao & X. Zhou 10.1016/j.envpol.2023.123183
- Discrepancies between MICS-Asia III simulation and observation for surface ozone in the marine atmosphere over the northwestern Pacific Asian Rim region H. Akimoto et al. 10.5194/acp-20-15003-2020
- Effects of heterogeneous reactions on tropospheric chemistry: a global simulation with the chemistry–climate model CHASER V4.0 P. Ha et al. 10.5194/gmd-14-3813-2021
25 citations as recorded by crossref.
- Satellite-Based Diagnosis and Numerical Verification of Ozone Formation Regimes over Nine Megacities in East Asia H. Lee et al. 10.3390/rs14051285
- Implementation of HONO into the chemistry–climate model CHASER (V4.0): roles in tropospheric chemistry P. Ha et al. 10.5194/gmd-16-927-2023
- MICS-Asia III: overview of model intercomparison and evaluation of acid deposition over Asia S. Itahashi et al. 10.5194/acp-20-2667-2020
- High-spatiotemporal-resolution inverse estimation of CO and NOx emission reductions during emission control periods with a modified ensemble Kalman filter H. Wu et al. 10.1016/j.atmosenv.2020.117631
- Diagnosing the Model Bias in Simulating Daily Surface Ozone Variability Using a Machine Learning Method: The Effects of Dry Deposition and Cloud Optical Depth X. Ye et al. 10.1021/acs.est.2c05712
- Insights into seasonal variation of wet deposition over southeast Asia via precipitation adjustment from the findings of MICS-Asia III S. Itahashi et al. 10.5194/acp-21-8709-2021
- An integrated air quality modeling system coupling regional-urban and street models in Beijing T. Wang et al. 10.1016/j.uclim.2022.101143
- Multi-model intercomparisons of air quality simulations for the KORUS-AQ campaign R. Park et al. 10.1525/elementa.2021.00139
- Evaluation and Bias Correction of the Secondary Inorganic Aerosol Modeling over North China Plain in Autumn and Winter Q. Wu et al. 10.3390/atmos12050578
- Deeper NOx emission reductions toward better air quality in the Yangtze River Delta: Numerical evidences from NOx and VOCs emissions control measures C. Liu et al. 10.1016/j.atmosres.2025.108103
- Simulation model of Reactive Nitrogen Species in an Urban Atmosphere using a Deep Neural Network: RNDv1.0 J. Gil et al. 10.5194/gmd-16-5251-2023
- Development of an integrated machine learning model to improve the secondary inorganic aerosol simulation over the Beijing–Tianjin–Hebei region N. Ding et al. 10.1016/j.atmosenv.2024.120483
- Novel index to comprehensively evaluate air cleanliness: the Clean aIr Index (CII) T. Sato et al. 10.5194/gc-3-233-2020
- Modeling Ozone Source Apportionment and Performing Sensitivity Analysis in Summer on the North China Plain Y. Zhang et al. 10.3390/atmos11090992
- Spatial and temporal variations of surface background ozone in China analyzed with the grid-stretching capability of GEOS-Chem High Performance X. Ye et al. 10.1016/j.scitotenv.2024.169909
- Model evaluation and intercomparison of surface-level ozone and relevant species in East Asia in the context of MICS-Asia Phase III – Part 1: Overview J. Li et al. 10.5194/acp-19-12993-2019
- Large contributions of soil emissions to the atmospheric nitrogen budget and their impacts on air quality and temperature rise in North China T. Sha et al. 10.5194/acp-24-8441-2024
- A review of gas-phase chemical mechanisms commonly used in atmospheric chemistry modelling Y. Liu et al. 10.1016/j.jes.2022.10.031
- Assessing CMAQ model discrepancies in a heavily polluted air basin using UAV vertical profiles and sensitivity analyses Z. Zhu et al. 10.1039/D4EA00004H
- Identifying key factors influencing model performance on ground-level ozone over urban areas in Japan through model inter-comparisons S. Chatani et al. 10.1016/j.atmosenv.2019.117255
- Improvement of the ozone forecast over Beijing through combining the chemical transport model with multiple machine learning methods J. Xie et al. 10.1016/j.apr.2024.102184
- Reconciling the bottom-up methodology and ground measurement constraints to improve the city-scale NMVOCs emission inventory: A case study of Nanjing, China R. Wu et al. 10.1016/j.scitotenv.2021.152447
- A review of the CAMx, CMAQ, WRF-Chem and NAQPMS models: Application, evaluation and uncertainty factors Z. Gao & X. Zhou 10.1016/j.envpol.2023.123183
- Discrepancies between MICS-Asia III simulation and observation for surface ozone in the marine atmosphere over the northwestern Pacific Asian Rim region H. Akimoto et al. 10.5194/acp-20-15003-2020
- Effects of heterogeneous reactions on tropospheric chemistry: a global simulation with the chemistry–climate model CHASER V4.0 P. Ha et al. 10.5194/gmd-14-3813-2021
Latest update: 23 Apr 2025
Short summary
The regional model intercomparison study called MICS-Asia III revealed that substantial discrepancy still exists for surface ozone simulation in East Asia, even though common emissions, meteorological field, and boundary conditions have been used among the models. Three factors have been identified as possible causes of such discrepancy, (1) chemistry sub-models, (2) heterogeneous reactions, and (3) vertical transport parameters, and each component has been discussed.
The regional model intercomparison study called MICS-Asia III revealed that substantial...
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