4.7 Article

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

Journal

ATMOSPHERIC CHEMISTRY AND PHYSICS
Volume 14, Issue 3, Pages 1225-1238

Publisher

COPERNICUS GESELLSCHAFT MBH
DOI: 10.5194/acp-14-1225-2014

Keywords

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Funding

  1. NASA [NNX08AR13G]
  2. NASA Earth Systems Science Fellowship
  3. University of California, Office of the President
  4. NASA [96024, NNX08AR13G] Funding Source: Federal RePORTER

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The formation of organic nitrates (RONO2) represents an important NOx (NOx = 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 NOx mixing ratio is greater than 75 pptv. The regional responses are investigated for two oxidation pathways of MTNs: one that returns NOx 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 NOx after oxidation, their formation represents a net chemical NOx 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 NOx. This uncertainty in the oxidative fate of MTNs results in changes in NOx of 8-14 %, in O-3 of up to 3 %, and in OH of 3-6% between the two model simulations.

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