Articles | Volume 17, issue 17
https://doi.org/10.5194/acp-17-10435-2017
© Author(s) 2017. 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-17-10435-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Advanced error diagnostics of the CMAQ and Chimere modelling systems within the AQMEII3 model evaluation framework
Efisio Solazzo
CORRESPONDING AUTHOR
European Commission, Joint Research Centre (JRC), Directorate for
Energy, Transport and Climate, Air and Climate Unit, Ispra (VA), Italy
Christian Hogrefe
Environmental Protection Agency, Computational Exposure Division, National Exposure Research Laboratory, Office of Research and Development, Research Triangle Park, NC 27711, USA
Augustin Colette
INERIS, Institut National de l'Environnement Industriel et des
Risques, Parc Alata, 60550 Verneuil-en-Halatte, France
Marta Garcia-Vivanco
INERIS, Institut National de l'Environnement Industriel et des
Risques, Parc Alata, 60550 Verneuil-en-Halatte, France
CIEMAT, Avda Complutense 40, Madrid, Spain
Stefano Galmarini
European Commission, Joint Research Centre (JRC), Directorate for
Sustainable Resources, Food and Security Unit, Ispra (VA), Italy
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20 citations as recorded by crossref.
- A new method for assessing the efficacy of emission control strategies H. Luo et al. 10.1016/j.atmosenv.2018.11.010
- Impact of the ‘13th Five-Year Plan’ Policy on Air Quality in Pearl River Delta, China: A Case Study of Haizhu District in Guangzhou City Using WRF-Chem J. Zhan et al. 10.3390/app10155276
- Impacts of different characterizations of large-scale background on simulated regional-scale ozone over the continental United States C. Hogrefe et al. 10.5194/acp-18-3839-2018
- Influence of anthropogenic emissions and boundary conditions on multi-model simulations of major air pollutants over Europe and North America in the framework of AQMEII3 U. Im et al. 10.5194/acp-18-8929-2018
- Assessing the manageable portion of ground-level ozone in the contiguous United States H. Luo et al. 10.1080/10962247.2020.1805375
- Impact of halogen chemistry on summertime air quality in coastal and continental Europe: application of the CMAQ model and implications for regulation Q. Li et al. 10.5194/acp-19-15321-2019
- Spatio-temporal Analysis of the factors affecting NOx concentration during the evaluation cycle of high pollution episodes in Tehran metropolitan M. Zarghamipour et al. 10.1016/j.apr.2024.102177
- High resolution temporal profiles in the Emissions Database for Global Atmospheric Research M. Crippa et al. 10.1038/s41597-020-0462-2
- Technical note: AQMEII4 Activity 1: evaluation of wet and dry deposition schemes as an integral part of regional-scale air quality models S. Galmarini et al. 10.5194/acp-21-15663-2021
- On the formation of biogenic secondary organic aerosol in chemical transport models: an evaluation of the WRF-CHIMERE (v2020r2) model with a focus over the Finnish boreal forest G. Ciarelli et al. 10.5194/gmd-17-545-2024
- Analysis of chemical and transport processes of biogenic aerosols over the northern Apennines: insights from the WRF-CHIMERE model B. Vitali et al. 10.1039/D4EA00040D
- Establishing the Suitability of the Model for Prediction Across Scales for Global Retrospective Air Quality Modeling R. Gilliam et al. 10.1029/2020JD033588
- Sensitivity of northeastern US surface ozone predictions to the representation of atmospheric chemistry in the Community Regional Atmospheric Chemistry Multiphase Mechanism (CRACMMv1.0) B. Place et al. 10.5194/acp-23-9173-2023
- An analysis of CMAQ gas-phase dry deposition over North America through grid-scale and land-use-specific diagnostics in the context of AQMEII4 C. Hogrefe et al. 10.5194/acp-23-8119-2023
- Sensitivity of stomatal conductance to soil moisture: implications for tropospheric ozone A. Anav et al. 10.5194/acp-18-5747-2018
- A comparative study of two-way and offline coupled WRF v3.4 and CMAQ v5.0.2 over the contiguous US: performance evaluation and impacts of chemistry–meteorology feedbacks on air quality K. Wang et al. 10.5194/gmd-14-7189-2021
- Unveiling tropospheric ozone by the traditional atmospheric model and machine learning, and their comparison:A case study in hangzhou, China R. Feng et al. 10.1016/j.envpol.2019.05.101
- Model Performance Differences in Sulfate Aerosol in Winter over Japan Based on Regional Chemical Transport Models of CMAQ and CAMx S. Itahashi et al. 10.3390/atmos9120488
- On the mathematical modelling and data assimilation for air pollution assessment in the Tropical Andes O. Montoya et al. 10.1007/s11356-020-08268-4
- Evaluation and error apportionment of an ensemble of atmospheric chemistry transport modeling systems: multivariable temporal and spatial breakdown E. Solazzo et al. 10.5194/acp-17-3001-2017
19 citations as recorded by crossref.
- A new method for assessing the efficacy of emission control strategies H. Luo et al. 10.1016/j.atmosenv.2018.11.010
- Impact of the ‘13th Five-Year Plan’ Policy on Air Quality in Pearl River Delta, China: A Case Study of Haizhu District in Guangzhou City Using WRF-Chem J. Zhan et al. 10.3390/app10155276
- Impacts of different characterizations of large-scale background on simulated regional-scale ozone over the continental United States C. Hogrefe et al. 10.5194/acp-18-3839-2018
- Influence of anthropogenic emissions and boundary conditions on multi-model simulations of major air pollutants over Europe and North America in the framework of AQMEII3 U. Im et al. 10.5194/acp-18-8929-2018
- Assessing the manageable portion of ground-level ozone in the contiguous United States H. Luo et al. 10.1080/10962247.2020.1805375
- Impact of halogen chemistry on summertime air quality in coastal and continental Europe: application of the CMAQ model and implications for regulation Q. Li et al. 10.5194/acp-19-15321-2019
- Spatio-temporal Analysis of the factors affecting NOx concentration during the evaluation cycle of high pollution episodes in Tehran metropolitan M. Zarghamipour et al. 10.1016/j.apr.2024.102177
- High resolution temporal profiles in the Emissions Database for Global Atmospheric Research M. Crippa et al. 10.1038/s41597-020-0462-2
- Technical note: AQMEII4 Activity 1: evaluation of wet and dry deposition schemes as an integral part of regional-scale air quality models S. Galmarini et al. 10.5194/acp-21-15663-2021
- On the formation of biogenic secondary organic aerosol in chemical transport models: an evaluation of the WRF-CHIMERE (v2020r2) model with a focus over the Finnish boreal forest G. Ciarelli et al. 10.5194/gmd-17-545-2024
- Analysis of chemical and transport processes of biogenic aerosols over the northern Apennines: insights from the WRF-CHIMERE model B. Vitali et al. 10.1039/D4EA00040D
- Establishing the Suitability of the Model for Prediction Across Scales for Global Retrospective Air Quality Modeling R. Gilliam et al. 10.1029/2020JD033588
- Sensitivity of northeastern US surface ozone predictions to the representation of atmospheric chemistry in the Community Regional Atmospheric Chemistry Multiphase Mechanism (CRACMMv1.0) B. Place et al. 10.5194/acp-23-9173-2023
- An analysis of CMAQ gas-phase dry deposition over North America through grid-scale and land-use-specific diagnostics in the context of AQMEII4 C. Hogrefe et al. 10.5194/acp-23-8119-2023
- Sensitivity of stomatal conductance to soil moisture: implications for tropospheric ozone A. Anav et al. 10.5194/acp-18-5747-2018
- A comparative study of two-way and offline coupled WRF v3.4 and CMAQ v5.0.2 over the contiguous US: performance evaluation and impacts of chemistry–meteorology feedbacks on air quality K. Wang et al. 10.5194/gmd-14-7189-2021
- Unveiling tropospheric ozone by the traditional atmospheric model and machine learning, and their comparison:A case study in hangzhou, China R. Feng et al. 10.1016/j.envpol.2019.05.101
- Model Performance Differences in Sulfate Aerosol in Winter over Japan Based on Regional Chemical Transport Models of CMAQ and CAMx S. Itahashi et al. 10.3390/atmos9120488
- On the mathematical modelling and data assimilation for air pollution assessment in the Tropical Andes O. Montoya et al. 10.1007/s11356-020-08268-4
Latest update: 14 Dec 2024
Short summary
The work here is conducted within the frame of AQMEII3 and promotes the use of diagnostic methods for the evaluation of air quality models. We highlight the need to move away from aggregated error metrics and to focus on the quality of the information that can be extracted from the model and the observation. This aids the understanding of the causes of model error, providing more useful information to model developers and users than can be gained from common evaluations.
The work here is conducted within the frame of AQMEII3 and promotes the use of diagnostic...
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