Title:

Simulated data for "Secondary organic aerosol formation in biomass-burning plumes: Theoretical analysis from lab studies and ambient plumes"

Author(s):

Bian, Qijing; Jather, Shantanu H.; Kodros, John K.; Barsanti, Kelley C.; Hatch, Lindsay E.; May, Andrew A.; Kreidenweis, Sonia M.; Pierce, Jeffery R.

Publication Year:

2017

How to Cite:

These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the following citation:

Bian, Qijing; Jather, Shantanu H.; Kodros, John K.; Barsanti, Kelley C.; Hatch, Lindsay E.; May, Andrew A.; Kreidenweis, Sonia M.; Pierce, Jeffery R. 2017. Simulated data for "Secondary organic aerosol formation in biomass-burning plumes: Theoretical analysis from lab studies and ambient plumes". Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2017-0019

Abstract:

The volatile nature of biomass burning organics may complicate the evolution of organics in laboratory smog-chamber experiments and in ambient plumes. We simulate the evolution of organic mass (including gas and particles) in the chamber experiments using the TwO-Moment Aerosol Sectional (TOMAS) microphysics model combined with a secondary organic aerosol (SOA) production matrix. We estimate the effect of vapor wall loss by turning off the vapor wall loss, and also added Gaussian dispersion to our aerosol-microphysical model to SOA formation under different ambient-plume conditions. A detailed description of model setup and results can be found in Bian et al. 2017. The data publication here contains simulation datasets generated using the TOMAS microphysics model combined with a secondary organic aerosol (SOA) production matrix. Datasets are organized according to the figures in Bian et al. 2017 and include 1) chemistry-only simulation data; 2) data generated using the TOMAS model combined with particle and vapor wall-loss algorithms and a SOA production matrix with varying parameters; and 3) simulation data generated using the TOMAS model assuming the plume volume follows the Gaussian dispersion. Each ASCII dataset contains the time series of individual vapors and particles that were distributed in 36 size bins from 3 nanometers to 10 micrometers.

Keywords:

secondary organic aerosol formation; wall loss; plume; modeling simulation; Joint Fire Science Program; JFSP; Fire; Smoke; environment; North America

Related publications:

• Bian, Qijing; Jathar, Shantanu H.; Kodros, John K.; Barsanti, Kelley C.; Hatch, Lindsay E.; May, Andrew A.; Kreidenweis, Sonia M.; Pierce, Jeffery R. 2017. Secondary organic aerosol formation in biomass-burning plumes: theoretical analysis of lab studies and ambient plumes. Atmospheric Chemistry and Physics. 17: 5459-5475. https://doi.org/10.5194/acp-2016-949

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