Abstract

Abstract. The representation of volatile organic compound (VOC) deposition and oxidation mechanisms in the context of secondary organic aerosol (SOA) formation are developed in the United Kingdom Chemistry and Aerosol (UKCA) chemistry–climate model. Impacts of these developments on both the global SOA budget and model agreement with observations are quantified. Firstly, global model simulations were performed with varying VOC dry deposition and wet deposition fluxes. Including VOC dry deposition reduces the global annual-total SOA production rate by 2 %–32 %, with the range reflecting uncertainties in surface resistances. Including VOC wet deposition reduces the global annual-total SOA production rate by 15 % and is relatively insensitive to changes in effective Henry's law coefficients. Without precursor deposition, simulated SOA concentrations are lower than observed with a normalised mean bias (NMB) of −51 %. Hence, including SOA precursor deposition worsens model agreement with observations even further (NMB =-66 %). Secondly, for the anthropogenic and biomass burning VOC precursors of SOA (VOCANT∕BB), model simulations were performed by (a) varying the parent hydrocarbon reactivity, (b) varying the number of reaction intermediates, and (c) accounting for differences in volatility between oxidation products from various pathways. These changes were compared to a scheme where VOCANT∕BB adopts the reactivity of a monoterpene (α-pinene), and is oxidised in a single-step mechanism with a fixed SOA yield. By using the chemical reactivity of either benzene, toluene, or naphthalene for VOCANT∕BB, the global annual-total VOCANT∕BB oxidation rate changes by −3 %, −31 %, or −66 %, respectively, compared to when using α-pinene. Increasing the number of reaction intermediates, by introducing a peroxy radical (RO2), slightly slows the rate of SOA formation, but has no impact on the global annual-total SOA production rate. However, RO2 undergoes competitive oxidation reactions, forming products with substantially different volatilities. Accounting for the differences in product volatility between RO2 oxidation pathways increases the global SOA production rate by 153 % compared to using a single SOA yield. Overall, for relatively reactive compounds such as toluene and naphthalene, the reduction in reactivity for VOCANT∕BB oxidation is outweighed by accounting for the difference in volatility of RO2 products, leading to a net increase in the global annual-total SOA production rate of 85 % and 145 %, respectively, and improvements in model agreement (NMB of −46 % and 56 %, respectively). However, for benzene, the reduction in VOCANT∕BB oxidation is not outweighed by accounting for the difference in SOA yield pathways, leading to a small change in the global annual-total SOA production rate of −3 %, and a slight worsening of model agreement with observations (NMB =-77 %). These results highlight that variations in both VOC deposition and oxidation mechanisms contribute to substantial uncertainties in the global SOA budget and model agreement with observations.

Highlights

  • Aerosols are detrimental to human health (WHO, 2013) and are linked to climate change (Forster and Ramaswamy, 2007)

  • The spatial pattern simulated in the oxidation mechanism with the reaction intermediate and with reactivity based on benzene is in greater agreement with the more regionally distributed secondary organic aerosol (SOA) concentrations simulated in models based on semi-volatile and intermediate-volatility organic compounds (S/IVOCs) sources (Pye and Seinfeld, 2010; Tsimpidi et al, 2016)

  • Mechanisms of anthropogenic and biomass burning oxidation have substantial impacts on simulated SOA production rates, but almost no effect on model agreement with aircraft observations in “pollution and biomass-burning-influenced” regions, due to a lack of aircraft coverage. The description of both deposition and oxidation for SOA precursors was developed in a global chemistry– climate model

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Summary

Introduction

Aerosols are detrimental to human health (WHO, 2013) and are linked to climate change (Forster and Ramaswamy, 2007). The use of low SOA yields for aromatic compounds in global models results in low global annual-total SOA production rates ranging from just 0.05 to 2.5 Tg (SOA) a−1, which are negligible in comparison to biogenic sources (Tsigaridis and Kanakidou, 2003; Hoyle et al, 2007). Henze et al (2008) applied the laboratory-derived yields from Ng et al (2007) to aromatic compounds (16 Tg (VOC) a−1), which resulted in a global annual-total SOA production rate of 4 Tg (SOA) a−1, with 61 % of SOA being produced via the RO2 + HO2 pathway.

Chemistry–climate model description
Gaseous wet deposition
Gaseous dry deposition
Emissions
Default treatment of SOA
Addition of SOA precursor deposition
Model simulations
Observations used to evaluate modelled OA
Simulated SOA budget and concentrations
Comparison of simulated and observed OA concentrations
Influence of aromatic oxidation mechanisms on SOA
Initial OH oxidation of parent hydrocarbon
Production of SOA from less reactive hydrocarbons
Findings
Conclusions

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