Articles | Volume 22, issue 12
https://doi.org/10.5194/acp-22-8287-2022
© Author(s) 2022. 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-22-8287-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A sulfuric acid nucleation potential model for the atmosphere
Jack S. Johnson
Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA
Center for Atmospheric Particle Studies, Carnegie Mellon University, Pittsburgh, PA 15213, USA
Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA
Center for Atmospheric Particle Studies, Carnegie Mellon University, Pittsburgh, PA 15213, USA
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This preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).
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This study describes a new method, the Condensation Particle Counters For Atmospheric Rapid Measurements (CPC FARM), to measure sub-3 nm size distribution at high time resolution and sensitivity. The CPC FARM is compared to traditionally used particle mobility sizers during a new particle formation campaign to study rapidly changing sub-3 nm particles in Pittsburgh, PA.
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This article reports the molecular composition of smoke particles people in SF Bay Area were exposed to during northern California wildfires in Oct. 2017. Major components are sugars, acids, aromatics, and terpenoids. These observations can be used to better understand health impacts of smoke exposure. Tracer compounds indicate which fuels burned, including diterpenoids for softwood and syringyls for hardwood. A statistical analysis reveals a group of secondary compounds formed in daytime aging.
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Short summary
Sulfuric acid nucleation forms particles in Earth's atmosphere that influence cloud formation and climate. This study introduces the Nucleation Potential Model, which simplifies the diverse reactions between sulfuric acid and numerous precursor gases to predict nucleation rates. Results show that the model is capable of estimating the potency and concentration of mixtures of precursor gases from laboratory and field observations and can be used to model nucleation across diverse environments.
Sulfuric acid nucleation forms particles in Earth's atmosphere that influence cloud formation...
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