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dc.contributor.authorHe, Yicong
dc.contributor.authorAkherati, Ali
dc.contributor.authorNah, Theodora
dc.contributor.authorNga, Ng
dc.contributor.authorGarofalo, Lauren
dc.contributor.authorFarmer, Delphine
dc.contributor.authorShiraiwa, Manabu
dc.contributor.authorZaveri, Rahul
dc.contributor.authorChristopher, Cappa
dc.contributor.authorPierce, Jeff
dc.contributor.authorJathar, Shantanu
dc.date2021
dc.date.accessioned2021-01-05T16:59:59Z
dc.date.available2021-01-05T16:59:59Z
dc.descriptionThis dataset contains all data used to make the figures and the code of the SOM-TOMAS model.
dc.description.abstractParticle phase state is a property of atmospheric aerosols that has important implications for the formation, evolution, and gas/particle partitioning of secondary organic aerosol (SOA). In this work, we use a size-resolved chemistry and microphysics model (SOM-TOMAS), updated to include an explicit treatment of particle phase state, to constrain the bulk diffusion coefficient (Db) of SOA produced from alpha-pinene ozonolysis. By leveraging data from laboratory experiments performed in the absence of a seed and under dry conditions, we find that the Db for SOA can be constrained (1-5 ×10^-15 cm^2 s^-1 in these experiments) by simultaneously reproducing the time-varying SOA mass concentrations and the evolution of the particle size distribution. Another version of our model that used the predicted SOA composition to calculate the glass transition temperature, viscosity, and, ultimately, Db (~10-15 cm^2 s^-1) of the SOA was able to reproduce the mass and size distribution measurements when we included oligomer formation (oligomers accounted for about a fifth of the SOA mass). Our work highlights the potential of a size-resolved SOA model to constrain the particle phase state of SOA by utilizing historical measurements of the evolution of the particle size distribution.
dc.description.sponsorshipThis work was supported by the U.S. Department of Energy (DOE), Office of Science (DE-SC0017975, DE-SC0018349), National Oceanic and Atmospheric Administration (NA17OAR4310003 and NA17OAR4310001), Colorado Energy Research Collaboratory (37-2018), National Science Foundation (AGS-1455588), and the U.S. Environmental Protection Agency (RD-83540301). R.A.Z. acknowledges support from the Office of Science of the U.S. DOE as part of the Atmospheric System Research program at Pacific Northwest National Laboratory (PNNL); PNNL is operated for DOE by Battelle Memorial Institute under contract DE- AC05-76RL01830.
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dc.format.mediumRTF
dc.format.mediumCSV
dc.identifier.urihttps://hdl.handle.net/10217/219459
dc.identifier.urihttp://dx.doi.org/10.25675/10217/219459
dc.languageEnglish
dc.publisherColorado State University. Libraries
dc.relation.ispartofData - Colorado State University
dc.relation.isreferencedbyYicong He, Ali Akherati, Theodora Nah, Nga L. Ng, Lauren A. Garofalo, Delphine K. Farmer, Manabu Shiraiwa, Rahul A. Zaveri, Christopher D. Cappa, Jeffrey R. Pierce, and Shantanu H. Jathar. Particle Size Distribution Dynamics Can Help Constrain the Phase State of Secondary Organic Aerosol. Environ. Sci. Technol. 2021, 55, 1466-1476. https://doi.org/10.1021/acs.est.0c05796
dc.titleDataset associated with "Particle Size Distribution Dynamics Can Help Constrain the Phase State of Secondary Organic Aerosol"
dc.typeDataset


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