Sulfuric Acid Nucleation Potential Model Applied to Complex Reacting Systems in the Atmosphere. Johnson, J. S. & Jen, C. N. Journal of Geophysical Research: Atmospheres, 128(20):e2023JD039344, 2023. _eprint: https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2023JD039344
Sulfuric Acid Nucleation Potential Model Applied to Complex Reacting Systems in the Atmosphere [link]Paper  doi  abstract   bibtex   2 downloads  
Atmospheric aerosol particles impact Earth's radiation balance by acting as seeds for cloud droplet formation. Over half of global cloud seed particles are formed by nucleation, a process where gas-phase compounds react to form stable particles. Reactions of sulfuric acid (SA) with a wide variety of atmospheric compounds have been previously shown to drive nucleation in the lower troposphere. However, global climate models poorly predict particle nucleation rates since current nucleation models do not describe nucleation for systems containing tens to hundreds of precursor compounds. The nucleation potential model (NPM) was recently developed to model SA nucleation of complex mixtures by measuring an effective base concentration using a 1-nm condensation particle counter. This technique for estimating particle nucleation rates can be deployed at a much higher spatial and temporal resolution than current methods which require detailed knowledge of all nucleation reactions and measurements, typically using a mass spectrometer, of all nucleation precursor gases. This work expands NPM by showing that this model can capture enhancement and suppression of SA nucleation rates within a complex mixture of organic and inorganic acids, ambient air, and across a range of atmospherically relevant relative humidities. In addition, an expression for calculating atmospheric nucleation rates was also derived from the NPM. Ultimately, NPM provides a simple way to measure and model the extent compounds in a complex mixture enhance SA nucleation rates using a condensation particle counter.
@article{johnson_sulfuric_2023,
	title = {Sulfuric {Acid} {Nucleation} {Potential} {Model} {Applied} to {Complex} {Reacting} {Systems} in the {Atmosphere}},
	volume = {128},
	copyright = {© 2023. The Authors.},
	issn = {2169-8996},
	url = {https://onlinelibrary.wiley.com/doi/abs/10.1029/2023JD039344},
	doi = {10.1029/2023JD039344},
	abstract = {Atmospheric aerosol particles impact Earth's radiation balance by acting as seeds for cloud droplet formation. Over half of global cloud seed particles are formed by nucleation, a process where gas-phase compounds react to form stable particles. Reactions of sulfuric acid (SA) with a wide variety of atmospheric compounds have been previously shown to drive nucleation in the lower troposphere. However, global climate models poorly predict particle nucleation rates since current nucleation models do not describe nucleation for systems containing tens to hundreds of precursor compounds. The nucleation potential model (NPM) was recently developed to model SA nucleation of complex mixtures by measuring an effective base concentration using a 1-nm condensation particle counter. This technique for estimating particle nucleation rates can be deployed at a much higher spatial and temporal resolution than current methods which require detailed knowledge of all nucleation reactions and measurements, typically using a mass spectrometer, of all nucleation precursor gases. This work expands NPM by showing that this model can capture enhancement and suppression of SA nucleation rates within a complex mixture of organic and inorganic acids, ambient air, and across a range of atmospherically relevant relative humidities. In addition, an expression for calculating atmospheric nucleation rates was also derived from the NPM. Ultimately, NPM provides a simple way to measure and model the extent compounds in a complex mixture enhance SA nucleation rates using a condensation particle counter.},
	language = {en},
	number = {20},
	urldate = {2023-10-15},
	journal = {Journal of Geophysical Research: Atmospheres},
	author = {Johnson, J. S. and Jen, C. N.},
	year = {2023},
	note = {\_eprint: https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2023JD039344},
	keywords = {amines, methanesulfonic acid, nucleation, nucleation potential model, organic acids, sulfuric acid},
	pages = {e2023JD039344},
}

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