Articles | Volume 24, issue 4
https://doi.org/10.5194/acp-24-2345-2024
© Author(s) 2024. 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-24-2345-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
23 Feb 2024
Research article |
| 23 Feb 2024
| 23 Feb 2024
An updated modeling framework to simulate Los Angeles air quality – Part 1: Model development, evaluation, and source apportionment
Elyse A. Pennington
Department of Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA
Department of Earth System Science, Stanford University, Stanford, CA 94305, USA
Benjamin C. Schulze
Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA 91125, USA
Department of Environmental Science and Engineering, California Institute of Technology, Pasadena, CA 91125, USA
Karl M. Seltzer
Office of Air and Radiation, U.S. Environmental Protection Agency, Research Triangle Park, Durham, NC 27711, USA
Jiani Yang
Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA 91125, USA
Department of Environmental Science and Engineering, California Institute of Technology, Pasadena, CA 91125, USA
State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
Zhe Jiang
Carbon Neutrality Research Center, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100084, China
Hongru Shi
Key Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100084, China
Melissa Venecek
Modeling and Meteorology Branch, California Air Resources Board, Sacramento, CA 95814, USA
Daniel Chau
Modeling and Meteorology Branch, California Air Resources Board, Sacramento, CA 95814, USA
Benjamin N. Murphy
Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, Durham, NC 27711, USA
Christopher M. Kenseth
Department of Chemistry, California Institute of Technology, Pasadena, CA 91125, USA
Ryan X. Ward
Department of Environmental Science and Engineering, California Institute of Technology, Pasadena, CA 91125, USA
Havala O. T. Pye
Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, Durham, NC 27711, USA
Department of Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA
Department of Environmental Science and Engineering, California Institute of Technology, Pasadena, CA 91125, USA
Data sets
CMAQ Model and scripts with Penning et al., 2024, ACP Y. Wang, E. Pennington, and J. Seinfeld https://doi.org/10.25740/qc346hv0119
Short summary
To assess the air quality in Los Angeles (LA), we improved the CMAQ model by using dynamic traffic emissions and new secondary organic aerosol schemes to represent volatile chemical products. Source apportionment demonstrates that the urban areas of the LA Basin and vicinity are NOx-saturated, with the largest sensitivity of O3 to changes in volatile organic compounds in the urban core. The improvement and remaining issues shed light on the future direction of the model development.
To assess the air quality in Los Angeles (LA), we improved the CMAQ model by using dynamic...
Altmetrics
Final-revised paper
Preprint