UMBS: PROPHET Aerosol and Ozone Data, July 2014

Gunsch M. (2018) http://dx.doi.org/10.6073/pasta/b0943aacce8ad7dea732e2442d22ac53.

UMSB_tower
PROPHET tower at the University of Michigan Biological Station (photo source)

This dataset corresponds to observations at the PROPHET ( Program for Research on Oxidants: PHotochemistry, Emissions, and Transport) tower in July 2014. The tower is located within the forested University of Michigan Biological Station (UMBS) near Pellston in northern Michigan (Gunsch et al. 2018). Long-range aerosol transport affects locations hundreds of kilometers from the point of emission, leading to distant particle sources influencing rural environments that have few major local sources. Source apportionment was conducted using the real-time aerosol chemistry measurements made at the UMBS station, a site representative of the remote forested Great Lakes region. Size-resolved chemical composition of individual 0.5–2.0 µm particles was 10 measured using an aerosol time-of-flight mass spectrometer (ATOFMS), and non-refractory aerosol mass less than 1 µm (PM1) was measured with a high-resolution aerosol mass spectrometer (HR-AMS). The field site was influenced by air masses transporting Canadian wildfire emissions and urban pollution from Milwaukee and Chicago.

Related articles

Gunsch MJ, Schmidt SA, Gardner DJ, Bondy AL, May NW, Bertman SB, Pratt KA and AP Ault (2018) Particle growth in an isoprene-rich forest: Influences of urban, wildfire, and biogenic air masses. Atmospheric Environment, 178, 255-264, https://doi.org/10.1016/j.atmosenv.2018.01.058.

Gunsch MJ, May NW, Wen M, Bottenus CLH, Gardner DJ, VanReken TM, Bertman SB, Hopke PK, Ault AP and KA Pratt (2018) Ubiquitous influence of wildfire emissions and secondary organic aerosol on summertime atmospheric aerosol in the forested Great Lakes region. Atmos. Chem. Phys., 18, 3701–3715, https://doi.org/10.5194/acp-18-3701-2018.

Recommended citation for this data package

Gunsch M. 2018. UMBS: PROPHET Aerosol and Ozone Data, July 2014. Environmental Data Initiative. http://dx.doi.org/10.6073/pasta/b0943aacce8ad7dea732e2442d22ac53.

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