Sensitivity of northeastern US surface ozone predictions to the representation of atmospheric chemistry in the Community Regional Atmospheric Chemistry Multiphase Mechanism (CRACMMv1.0)

Place, Bryan K.; Hutzell, William T.; Appel, K. Wyat; Farrell, Sara; Valin, Lukas; Murphy, Benjamin N.; Seltzer, Karl M.; Sarwar, Golam; Allen, Christine; Piletic, Ivan R.; D'Ambro, Emma L.; Saunders, Emily; Simon, Heather; Torres-Vasquez, Ana; Pleim, Jonathan; Schwantes, Rebecca H.; Coggon, Matthew M.; Xu, Lu; Stockwell, William R.; Pye, Havala O. T.

doi:https://doi.org/10.5194/acp-23-9173-2023

Articles | Volume 23, issue 16

https://doi.org/10.5194/acp-23-9173-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-23-9173-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 23, issue 16

Research article

|

21 Aug 2023

Research article |

| 21 Aug 2023

Sensitivity of northeastern US surface ozone predictions to the representation of atmospheric chemistry in the Community Regional Atmospheric Chemistry Multiphase Mechanism (CRACMMv1.0)

Bryan K. Place, William T. Hutzell, K. Wyat Appel, Sara Farrell, Lukas Valin, Benjamin N. Murphy, Karl M. Seltzer, Golam Sarwar, Christine Allen, Ivan R. Piletic, Emma L. D'Ambro, Emily Saunders, Heather Simon, Ana Torres-Vasquez, Jonathan Pleim, Rebecca H. Schwantes, Matthew M. Coggon, Lu Xu, William R. Stockwell, and Havala O. T. Pye

Supplement

https://doi.org/10.5194/acp-23-9173-2023-supplement

Data sets

Data for Sensitivity of Northeast U.S. surface ozone predictions to the representation of atmospheric chemistry in CRACMMv1.0 Havala Pye https://doi.org/10.23719/1528552

CRACMM U.S. Environmental Protection Agency https://github.com/USEPA/CRACMM

Model code and software

CMAQ (Version 5.3.3) U.S. Environmental Protection Agency Office of Research and Development https://doi.org/10.5281/zenodo.5213949

CMAQ Version 5.4 U.S. EPA Office of Research and Development https://doi.org/10.5281/zenodo.7218076

Atmospheric Model Evaluation Tool (AMETv1.5) U.S. Environmental Protection Agency https://github.com/USEPA/AMET

Framework for 0-D Atmospheric Modeling G. M. Wolfe https://github.com/AirChem/F0AM

Data for Sensitivity of Northeast U.S. surface ozone predictions to the representation of atmospheric chemistry in CRACMMv1.0 Havala Pye https://doi.org/10.23719/1528552

USEPA/AMET: AMETv1.5 K. W. Appel and R. Gilliam https://doi.org/10.5281/zenodo.8156171

Short summary

Ground-level ozone is a pollutant with adverse human health and ecosystem effects. Air quality models allow scientists to understand the chemical production of ozone and demonstrate impacts of air quality management plans. In this work, the role of multiple systems in ozone production was investigated for the northeastern US in summer. Model updates to chemical reaction rates and monoterpene chemistry were most influential in decreasing predicted ozone and improving agreement with observations.