Articles | Volume 10, issue 4
https://doi.org/10.5194/gmd-10-1587-2017
https://doi.org/10.5194/gmd-10-1587-2017
Development and technical paper
 | 
13 Apr 2017
Development and technical paper |  | 13 Apr 2017

A framework for expanding aqueous chemistry in the Community Multiscale Air Quality (CMAQ) model version 5.1

Kathleen M. Fahey, Annmarie G. Carlton, Havala O. T. Pye, Jaemeen Baek, William T. Hutzell, Charles O. Stanier, Kirk R. Baker, K. Wyat Appel, Mohammed Jaoui, and John H. Offenberg

Related authors

Accounting for the black carbon aging process in a two-way coupled meteorology–air quality model
Yuzhi Jin, Jiandong Wang, Chao Liu, David C. Wong, Golam Sarwar, Kathleen M. Fahey, Shang Wu, Jiaping Wang, Jing Cai, Zeyuan Tian, Zhouyang Zhang, Jia Xing, Aijun Ding, and Shuxiao Wang
Atmos. Chem. Phys., 25, 2613–2630, https://doi.org/10.5194/acp-25-2613-2025,https://doi.org/10.5194/acp-25-2613-2025, 2025
Short summary
Investigating processes influencing simulation of local Arctic wintertime anthropogenic pollution in Fairbanks, Alaska, during ALPACA-2022
Natalie Brett, Kathy S. Law, Steve R. Arnold, Javier G. Fochesatto, Jean-Christophe Raut, Tatsuo Onishi, Robert Gilliam, Kathleen Fahey, Deanna Huff, George Pouliot, Brice Barret, Elsa Dieudonné, Roman Pohorsky, Julia Schmale, Andrea Baccarini, Slimane Bekki, Gianluca Pappaccogli, Federico Scoto, Stefano Decesari, Antonio Donateo, Meeta Cesler-Maloney, William Simpson, Patrice Medina, Barbara D'Anna, Brice Temime-Roussel, Joel Savarino, Sarah Albertin, Jingqiu Mao, Becky Alexander, Allison Moon, Peter F. DeCarlo, Vanessa Selimovic, Robert Yokelson, and Ellis S. Robinson
Atmos. Chem. Phys., 25, 1063–1104, https://doi.org/10.5194/acp-25-1063-2025,https://doi.org/10.5194/acp-25-1063-2025, 2025
Short summary
Predicted impacts of heterogeneous chemical pathways on particulate sulfur over Fairbanks, Alaska, the N. Hemisphere, and the Contiguous United States
Sara Louise Farrell, Havala O. T. Pye, Robert Gilliam, George Pouliot, Deanna Huff, Golam Sarwar, William Vizuete, Nicole Briggs, and Kathleen Fahey
EGUsphere, https://doi.org/10.5194/egusphere-2024-1550,https://doi.org/10.5194/egusphere-2024-1550, 2024
Short summary
Acidity and the multiphase chemistry of atmospheric aqueous particles and clouds
Andreas Tilgner, Thomas Schaefer, Becky Alexander, Mary Barth, Jeffrey L. Collett Jr., Kathleen M. Fahey, Athanasios Nenes, Havala O. T. Pye, Hartmut Herrmann, and V. Faye McNeill
Atmos. Chem. Phys., 21, 13483–13536, https://doi.org/10.5194/acp-21-13483-2021,https://doi.org/10.5194/acp-21-13483-2021, 2021
Short summary
The Community Multiscale Air Quality (CMAQ) model versions 5.3 and 5.3.1: system updates and evaluation
K. Wyat Appel, Jesse O. Bash, Kathleen M. Fahey, Kristen M. Foley, Robert C. Gilliam, Christian Hogrefe, William T. Hutzell, Daiwen Kang, Rohit Mathur, Benjamin N. Murphy, Sergey L. Napelenok, Christopher G. Nolte, Jonathan E. Pleim, George A. Pouliot, Havala O. T. Pye, Limei Ran, Shawn J. Roselle, Golam Sarwar, Donna B. Schwede, Fahim I. Sidi, Tanya L. Spero, and David C. Wong
Geosci. Model Dev., 14, 2867–2897, https://doi.org/10.5194/gmd-14-2867-2021,https://doi.org/10.5194/gmd-14-2867-2021, 2021
Short summary

Related subject area

Atmospheric sciences
An enhanced emission module for the PALM model system 23.10 with application for PM10 emission from urban domestic heating
Edward C. Chan, Ilona J. Jäkel, Basit Khan, Martijn Schaap, Timothy M. Butler, Renate Forkel, and Sabine Banzhaf
Geosci. Model Dev., 18, 1119–1139, https://doi.org/10.5194/gmd-18-1119-2025,https://doi.org/10.5194/gmd-18-1119-2025, 2025
Short summary
Identifying lightning processes in ERA5 soundings with deep learning
Gregor Ehrensperger, Thorsten Simon, Georg J. Mayr, and Tobias Hell
Geosci. Model Dev., 18, 1141–1153, https://doi.org/10.5194/gmd-18-1141-2025,https://doi.org/10.5194/gmd-18-1141-2025, 2025
Short summary
Sensitivity of predicted ultrafine particle size distributions in Europe to different nucleation rate parameterizations using PMCAMx-UF v2.2
David Patoulias, Kalliopi Florou, and Spyros N. Pandis
Geosci. Model Dev., 18, 1103–1118, https://doi.org/10.5194/gmd-18-1103-2025,https://doi.org/10.5194/gmd-18-1103-2025, 2025
Short summary
Explaining neural networks for detection of tropical cyclones and atmospheric rivers in gridded atmospheric simulation data
Tim Radke, Susanne Fuchs, Christian Wilms, Iuliia Polkova, and Marc Rautenhaus
Geosci. Model Dev., 18, 1017–1039, https://doi.org/10.5194/gmd-18-1017-2025,https://doi.org/10.5194/gmd-18-1017-2025, 2025
Short summary
Accurate space-based NOx emission estimates with the flux divergence approach require fine-scale model information on local oxidation chemistry and profile shapes
Felipe Cifuentes, Henk Eskes, Enrico Dammers, Charlotte Bryan, and Folkert Boersma
Geosci. Model Dev., 18, 621–649, https://doi.org/10.5194/gmd-18-621-2025,https://doi.org/10.5194/gmd-18-621-2025, 2025
Short summary

Cited articles

Audiffren, N., Chaumerliac, N., and Renard, M.: Effects of a polydisperse cloud on tropospheric chemistry, J. Geophys. Res., 101, 25949–25965, https://doi.org/10.1029/96JD01548, 1996.
Audiffren, N., Renard, M., Buisson, E., and Chaumerliac, N.: Deviations from the Henry's law equilibrium approach of the mass transfer between phases and its specific numerical effects, Atmos. Res., 49, 139–161, https://doi.org/10.1016/S0169-8095(98)00072-6, 1998.
Baek, J., Saide, P., Carmichael, G. R., Carlton, A. G., Carlson, J., and Stanier, C. O.: Developing Forward and Adjoint Aqueous Chemistry Module for CMAQ with Kinetic PreProcessor, 10th Annual CMAS Conference, Chapel Hill, NC, 24–26 October, 2011.
Barth, M. C., Stuart, A. L., and Skamarock, W. C.: Numerical simulations of the July 10, 1996, stratospheric-tropospheric experiment: radiation, aerosols, and ozone (STERAO)-deep convection experiment storm: redistribution of soluble tracers, J. Geophys. Res., 106, 12381–12400, https://doi.org/10.1029/2001JD900139, 2001.
Download
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.
Share