Fundamental oxidation processes in the remote marine atmosphere investigated using the NO–NO2–O3 photostationary state

Abstract

Abstract. The photostationary state (PSS) equilibrium between NO and NO2 is reached within minutes in the atmosphere and can be described by the PSS parameter, φ. Deviations from expected values of φ have previously been used to infer missing oxidants in diverse locations, from highly polluted regions to the extremely clean conditions observed in the remote marine boundary layer (MBL), and have been interpreted as missing understanding of fundamental photochemistry. Here, contrary to these previous observations, we observe good agreement between PSS-derived NO2 ([NO2]PSS ext.), calculated from measured NO, O3, and jNO2 and photochemical box model predictions of peroxy radicals (RO2 and HO2), and observed NO2 ([NO2]Obs.) in extremely clean air containing low levels of CO (<90 ppbV) and VOCs (volatile organic compounds). However, in clean air containing small amounts of aged pollution (CO > 100 ppbV), we observed higher levels of NO2 than inferred from the PSS, with [NO2]Obs. / [NO2]PSS ext. of 1.12–1.68 (25th–75th percentile), implying underestimation of RO2 radicals by 18.5–104 pptV. Potential NO2 measurement artefacts have to be carefully considered when comparing PSS-derived NO2 to observed NO2, but we show that the NO2 artefact required to explain the deviation would have to be ∼ 4 times greater than the maximum calculated from known interferences. If the additional RO2 radicals inferred from the PSS convert NO to NO2 with a reaction rate equivalent to that of methyl peroxy radicals (CH3O2), then the calculated net ozone production rate (NOPR, ppbV h−1) including these additional oxidants is similar to the average change in O3 observed, within estimated uncertainties, once halogen oxide chemistry is accounted for. This implies that such additional peroxy radicals cannot be excluded as a missing oxidant in clean marine air containing aged pollution and that modelled RO2 concentrations are significantly underestimated under these conditions.