On the role of monoterpene chemistry in the remote continental boundary layer

• Main Authors: E. C. Browne, P. J. Wooldridge, K.-E. Min, R. C. Cohen
• Format: Article
• Language: English
• Published: Copernicus Publications 2014-02-01
• Series: Atmospheric Chemistry and Physics
• Online Access: http://www.atmos-chem-phys.net/14/1225/2014/acp-14-1225-2014.pdf

The formation of organic nitrates (RONO₂) represents an important NO_x (NO_x = NO + NO₂) sink in the remote and rural continental atmosphere, thus impacting ozone production and secondary organic aerosol (SOA) formation. In these remote and rural environments, the organic nitrates are primarily derived from biogenic volatile organic compounds (BVOCs) such as isoprene and monoterpenes. Although there are numerous studies investigating the formation of SOA from monoterpenes, there are few studies investigating monoterpene gas-phase chemistry. Using a regional chemical transport model with an extended representation of organic nitrate chemistry, we investigate the processes controlling the production and fate of monoterpene nitrates (MTNs) over the boreal forest of Canada. MTNs account for 5–12% of total oxidized nitrogen over the boreal forest, and production via NO₃ chemistry is more important than production via OH when the NO_x mixing ratio is greater than 75 pptv. The regional responses are investigated for two oxidation pathways of MTNs: one that returns NO_x to the atmosphere and one that converts MTNs into a nitrate that behaves like HNO₃. The likely situation is in between, and these two assumptions bracket the uncertainty about this chemistry. In the case where the MTNs return NO_x after oxidation, their formation represents a net chemical NO_x loss that exceeds the net loss to peroxy nitrate formation. When oxidation of MTNs produces a molecule that behaves like HNO₃, HNO₃ and MTNs are nearly equal chemical sinks for NO_x. This uncertainty in the oxidative fate of MTNs results in changes in NO_x of 8–14%, in O₃ of up to 3%, and in OH of 3–6% between the two model simulations.