Articles | Volume 10, issue 4
https://doi.org/10.5194/gmd-10-1587-2017
© 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/gmd-10-1587-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
A framework for expanding aqueous chemistry in the Community Multiscale Air Quality (CMAQ) model version 5.1
Kathleen M. Fahey
CORRESPONDING AUTHOR
Computational Exposure Division, National Exposure Research
Laboratory, Office of Research and Development, US Environmental
Protection Agency, Research Triangle Park, NC, USA
Annmarie G. Carlton
Department of Chemistry, University of California, Irvine, Irvine, CA, USA
Havala O. T. Pye
Computational Exposure Division, National Exposure Research
Laboratory, Office of Research and Development, US Environmental
Protection Agency, Research Triangle Park, NC, USA
Jaemeen Baek
formerly at: Department of Chemical and Biochemical Engineering,
University of Iowa, Iowa City, IA, USA
William T. Hutzell
Computational Exposure Division, National Exposure Research
Laboratory, Office of Research and Development, US Environmental
Protection Agency, Research Triangle Park, NC, USA
Charles O. Stanier
Department of Chemical and Biochemical Engineering, University of
Iowa, Iowa City, IA, USA
Kirk R. Baker
Air Quality Assessment Division, Office of Air Quality Planning and
Standards, Office of Air and Radiation, US Environmental Protection
Agency, Research Triangle Park, NC, USA
K. Wyat Appel
Computational Exposure Division, National Exposure Research
Laboratory, Office of Research and Development, US Environmental
Protection Agency, Research Triangle Park, NC, USA
Mohammed Jaoui
Exposure Methods and Measurements Division, National Exposure Research
Laboratory, Office of Research and Development, US Environmental
Protection Agency, Research Triangle Park, NC, USA
John H. Offenberg
Exposure Methods and Measurements Division, National Exposure Research
Laboratory, Office of Research and Development, US Environmental
Protection Agency, Research Triangle Park, NC, USA
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46 citations as recorded by crossref.
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- In Situ Observation of Multiphase Oxidation-Driven Secondary Organic Aerosol Formation during Cloud Processing at a Mountain Site in Southern China M. Gao et al. 10.1021/acs.estlett.3c00331
- Diurnal and Seasonal Variations in the Phase State of Secondary Organic Aerosol Material over the Contiguous US Simulated in CMAQ Y. Li et al. 10.1021/acsearthspacechem.1c00094
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- Extreme Emission Reduction Requirements for China to Achieve World Health Organization Global Air Quality Guidelines Y. Jiang et al. 10.1021/acs.est.2c09164
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- Refinement of Modeled Aqueous-Phase Sulfate Production via the Fe- and Mn-Catalyzed Oxidation Pathway S. Itahashi et al. 10.3390/atmos9040132
- Impacts of Wildfires on Nitrogen Deposition in the Western U.S P. Campbell et al. 10.2139/ssrn.4054695
- Photochemical model evaluation of 2013 California wild fire air quality impacts using surface, aircraft, and satellite data K. Baker et al. 10.1016/j.scitotenv.2018.05.048
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- Box Model Intercomparison of Cloud Chemistry M. Barth et al. 10.1029/2021JD035486
- Using wildland fire smoke modeling data in gerontological health research (California, 2007–2018) P. Koman et al. 10.1016/j.scitotenv.2022.156403
- Spatial variation of modelled total, dry and wet nitrogen deposition to forests at global scale D. Schwede et al. 10.1016/j.envpol.2018.09.084
46 citations as recorded by crossref.
- A Data Assimilation Method Combined with Machine Learning and Its Application to Anthropogenic Emission Adjustment in CMAQ C. Huang et al. 10.3390/rs15061711
- Aqueous Photochemistry of 2-Methyltetrol and Erythritol as Sources of Formic Acid and Acetic Acid in the Atmosphere J. Cope et al. 10.1021/acsearthspacechem.1c00107
- Dominance of Wildfires Impact on Air Quality Exceedances During the 2020 Record‐Breaking Wildfire Season in the United States Y. Li et al. 10.1029/2021GL094908
- Vapor-Pressure Pathways Initiate but Hydrolysis Products Dominate the Aerosol Estimated from Organic Nitrates A. Zare et al. 10.1021/acsearthspacechem.9b00067
- Simulation of chemical transport model estimates by means of a neural network using meteorological data A. Vlasenko et al. 10.1016/j.atmosenv.2021.118236
- 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
- Southeast Atmosphere Studies: learning from model-observation syntheses J. Mao et al. 10.5194/acp-18-2615-2018
- Two-way coupled meteorology and air quality models in Asia: a systematic review and meta-analysis of impacts of aerosol feedbacks on meteorology and air quality C. Gao et al. 10.5194/acp-22-5265-2022
- Toward Improving Short‐Term Predictions of Fine Particulate Matter Over the United States Via Assimilation of Satellite Aerosol Optical Depth Retrievals R. Kumar et al. 10.1029/2018JD029009
- In Situ Observation of Multiphase Oxidation-Driven Secondary Organic Aerosol Formation during Cloud Processing at a Mountain Site in Southern China M. Gao et al. 10.1021/acs.estlett.3c00331
- Diurnal and Seasonal Variations in the Phase State of Secondary Organic Aerosol Material over the Contiguous US Simulated in CMAQ Y. Li et al. 10.1021/acsearthspacechem.1c00094
- A Feasible Methodological Framework for Uncertainty Analysis and Diagnosis of Atmospheric Chemical Transport Models Z. Huang et al. 10.1021/acs.est.8b06326
- Source-resolved atmospheric metal emissions, concentrations, and deposition fluxes into the East Asian seas S. Jiang et al. 10.5194/acp-24-8363-2024
- Atmospheric deposition of reactive nitrogen to a deciduous forest in the southern Appalachian Mountains J. Walker et al. 10.5194/bg-20-971-2023
- Differences in Model Performance and Source Sensitivities for Sulfate Aerosol Resulting from Updates of the Aqueous- and Gas-Phase Oxidation Pathways for a Winter Pollution Episode in Tokyo, Japan S. Itahashi et al. 10.3390/atmos10090544
- An updated modeling framework to simulate Los Angeles air quality – Part 1: Model development, evaluation, and source apportionment E. Pennington et al. 10.5194/acp-24-2345-2024
- Impacts of estimated plume rise on PM2.5 exceedance prediction during extreme wildfire events: a comparison of three schemes (Briggs, Freitas, and Sofiev) Y. Li et al. 10.5194/acp-23-3083-2023
- Nitrogen burden from atmospheric deposition in East Asian oceans in 2010 based on high-resolution regional numerical modeling S. Itahashi et al. 10.1016/j.envpol.2021.117309
- Exploring dimethyl sulfide (DMS) oxidation and implications for global aerosol radiative forcing K. Fung et al. 10.5194/acp-22-1549-2022
- A multiphase CMAQ version 5.0 adjoint S. Zhao et al. 10.5194/gmd-13-2925-2020
- Study on the variation of air pollutant concentration and its formation mechanism during the COVID-19 period in Wuhan C. Huang et al. 10.1016/j.atmosenv.2021.118276
- Improving ozone simulations in the Great Lakes Region: The role of emissions, chemistry, and dry deposition M. Qin et al. 10.1016/j.atmosenv.2019.01.025
- Pronounced increases in nitrogen emissions and deposition due to the historic 2020 wildfires in the western U.S. P. Campbell et al. 10.1016/j.scitotenv.2022.156130
- Extreme Emission Reduction Requirements for China to Achieve World Health Organization Global Air Quality Guidelines Y. Jiang et al. 10.1021/acs.est.2c09164
- The acidity of atmospheric particles and clouds H. Pye et al. 10.5194/acp-20-4809-2020
- Evaluation of Regional Air Quality Models over Sydney, Australia: Part 2, Comparison of PM2.5 and Ozone E. Guérette et al. 10.3390/atmos11030233
- Influence of bromine and iodine chemistry on annual, seasonal, diurnal, and background ozone: CMAQ simulations over the Northern Hemisphere G. Sarwar et al. 10.1016/j.atmosenv.2019.06.020
- Global modeling of heterogeneous hydroxymethanesulfonate chemistry S. Song et al. 10.5194/acp-21-457-2021
- Nonagricultural emissions enhance dimethylamine and modulate urban atmospheric nucleation Y. Chang et al. 10.1016/j.scib.2023.05.033
- Unexpected air quality impacts from implementation of green infrastructure in urban environments: A Kansas City case study Y. Zhang et al. 10.1016/j.scitotenv.2020.140960
- Development and Implementation of a Physics‐Based Convective Mixing Scheme in the Community Multiscale Air Quality Modeling Framework A. Pouyaei et al. 10.1029/2021MS002475
- Fire behaviour and smoke modelling: model improvement and measurement needs for next-generation smoke research and forecasting systems Y. Liu et al. 10.1071/WF18204
- Evaluation of Long-Term Modeling Fine Particulate Matter and Ozone in China During 2013–2019 J. Mao et al. 10.3389/fenvs.2022.872249
- Photochemical model assessment of single source NO2 and O3 plumes using field study data K. Baker et al. 10.1016/j.scitotenv.2023.166606
- Chloride Interferences in Wet Chemical Oxidation Measurements: Plausible Mechanisms and Implications Y. Chiu et al. 10.1021/acsestwater.4c00508
- The Role of Vegetation on Urban Atmosphere of Three European Cities. Part 2: Evaluation of Vegetation Impact on Air Pollutant Concentrations and Depositions M. Mircea et al. 10.3390/f14061255
- Comparing health benefit calculations for alternative energy futures K. Brown et al. 10.1007/s11869-020-00840-8
- The Community Multiscale Air Quality (CMAQ) model versions 5.3 and 5.3.1: system updates and evaluation K. Appel et al. 10.5194/gmd-14-2867-2021
- Projections of future wildfires impacts on air pollutants and air toxics in a changing climate over the western United States C. Yang et al. 10.1016/j.envpol.2022.119213
- Refinement of Modeled Aqueous-Phase Sulfate Production via the Fe- and Mn-Catalyzed Oxidation Pathway S. Itahashi et al. 10.3390/atmos9040132
- Impacts of Wildfires on Nitrogen Deposition in the Western U.S P. Campbell et al. 10.2139/ssrn.4054695
- Photochemical model evaluation of 2013 California wild fire air quality impacts using surface, aircraft, and satellite data K. Baker et al. 10.1016/j.scitotenv.2018.05.048
- Evaluating the Impacts of Cloud Processing on Resuspended Aerosol Particles After Cloud Evaporation Using a Particle‐Resolved Model Y. Yao et al. 10.1029/2021JD034992
- Box Model Intercomparison of Cloud Chemistry M. Barth et al. 10.1029/2021JD035486
- Using wildland fire smoke modeling data in gerontological health research (California, 2007–2018) P. Koman et al. 10.1016/j.scitotenv.2022.156403
- Spatial variation of modelled total, dry and wet nitrogen deposition to forests at global scale D. Schwede et al. 10.1016/j.envpol.2018.09.084
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Latest update: 14 Dec 2024
Short summary
Chemical transport models (CTMs) are a crucial tool in understanding links between emissions, air quality, and climate. Only a simple description of cloud chemistry has been implemented in many of these; however, clouds play a major role in the physicochemical processing of atmospheric species. In CMAQ, EPA’s widely used CTM, the cloud code is limited to the treatment of simple chemistry. We update CMAQ clouds to consider additional chemistry and then examine regional impacts of these updates.
Chemical transport models (CTMs) are a crucial tool in understanding links between emissions,...