AAAR 36th Annual Conference October 16 - October 20, 2017 Raleigh Convention Center Raleigh, North Carolina, USA
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Simulating the Evolution and Sources of Organic Aerosols Observed during the 2016 Holistic Interactions of Shallow Clouds, Aerosols, and Land-Ecosystems (HI-SCALE) Field Campaign
JEROME FAST, Larry Berg, Lizabeth Alexander, David Bell, Jiumeng Liu, Fan Mei, Siegfried Schobesberger, John Shilling, Stephen Springston, ManishKumar Shrivastava, James Smith, Joel A. Thornton, Jian Wang, Alla Zelenyuk, Pacific Northwest National Laboratory
Abstract Number: 629 Working Group: Regional and Global Air Quality and Climate Modeling
Abstract We use the chemistry version of the Weather Research and Forecasting model (WRF-Chem) to simulate the regional-scale evolution of organic aerosols and their precursors observed during the Holistic Interactions of Shallow Clouds, Aerosols, and Land-Ecosystems (HI-SCALE) campaign. This campaign was conducted in north-central Oklahoma near the Department of Energy’s Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) site. The model predictions are compared with aerosol and aerosol precursor measurements from a research aircraft and a ground site, including those from High Resolution Time-of-Flight Aerosol Mass Spectrometers (HR-ToF-AMS), single particle mass spectrometers, chemical ionization mass spectrometers (CIMS), a proton transfer reaction mass spectrometer (PTR-MS), the Fast Integrated Mobility Spectrometer (FIMS), and Scanning Mobility Particle Sizer Spectrometers (SMPS). Other instrumentation characterized nanoparticle concentration, composition, and growth. Sampling was done during two month-long periods, one in the spring and the other in the late summer of 2016 to investigate how differences in biogenic emissions and meteorology affect new particle formation, anthropogenic enhancement of biogenic secondary organic aerosol, cloud condensation nuclei, and other aerosol properties in the region. The extensive field campaign measurements are used to evaluate aspects of the volatility basis set approach in representing SOA. The model is also used to identify anthropogenic, biogenic, and biomass burning sources of organic aerosols. In addition, we use the Large-Eddy-Simulation (LES) version of WRF-Chem to investigate how explicit and parameterized boundary layer mixing affects the vertical distribution of biogenic aerosol precursors and consequently SOA evolution.