Modeling atmospheric sulfate oxidation chemistry via the oxygen isotope anomaly using the Community Multiscale Air Quality Model (CMAQ)

Fang, Huan; Walters, Wendell

doi:10.5194/acp-25-18093-2025

Articles | Volume 25, issue 23

https://doi.org/10.5194/acp-25-18093-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-25-18093-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 25, issue 23

Research article

|

10 Dec 2025

Research article |

| 10 Dec 2025

Modeling atmospheric sulfate oxidation chemistry via the oxygen isotope anomaly using the Community Multiscale Air Quality Model (CMAQ)

Huan Fang and Wendell Walters

Supplement

https://doi.org/10.5194/acp-25-18093-2025-supplement

Data sets

Simulating Δ17O of sulfate aerosol within the contiguous United States to trace the formation processes Huan Fang https://doi.org/10.5281/zenodo.14954960

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Short summary

The Sulfur Tracking Mechanism (STM) in Community Multiscale Air Quality Model (CMAQ) was used to model the oxygen isotope anomaly (Δ¹⁷O) of aerosol sulfate (ASO₄) within the contiguous United States over full annual cycles, for the first time at this spatial and temporal coverage. This approach allows for a qualitative analysis of sulfate (SO₄^2-) formation processes and comparison with corresponding measurements.