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Gas-phase oxygenated organic molecules (OOMs) can contribute significantly to both atmospheric new particle growth and secondary organic aerosol formation. Precursor apportionment of atmospheric OOMs connects them with volatile organic compounds (VOCs). Since atmospheric OOMs are often highly functionalized products of multistep reactions, it is challenging to reveal the complete mapping relationships between OOMs and their precursors. In this study, we demonstrate that the machine learning method is useful in attributing atmospheric OOMs to their precursors using several chemical indicators, such as O/C ratio and H/C ratio. The model is trained and tested using data acquired in controlled laboratory experiments, covering the oxidation products of four main types of VOCs (isoprene, monoterpenes, aliphatics, and aromatics). Then, the model is used for analyzing atmospheric OOMs measured in both urban Beijing and a boreal forest environment in southern Finland. The results suggest that atmospheric OOMs in these two environments can be reasonably assigned to their precursors. Beijing is an anthropogenic VOC dominated environment with ∼64% aromatic and aliphatic OOMs, and the other boreal forested area has ∼76% monoterpene OOMs. This pilot study shows that machine learning can be a promising tool in atmospheric chemistry for connecting the dots. 

Abstract The interaction between nitrogen monoxide (NO) and organic peroxy radicals (RO 2 ) greatly impacts the formation of highly oxygenated organic molecules (HOM), the key precursors of secondary organic aerosols. It has been thought that HOM production can be significantly suppressed by NO even at low concentrations. Here, we perform dedicated experiments focusing on HOM formation from monoterpenes at low NO concentrations (0 – 82 pptv). We demonstrate that such low NO can enhance HOM production by modulating the RO 2 loss and favoring the formation of alkoxy radicals that can continue to autoxidize through isomerization. These insights suggest that HOM yields from typical boreal forest emissions can vary between 2.5%-6.5%, and HOM formation will not be completely inhibited even at high NO concentrations. Our findings challenge the notion that NO monotonically reduces HOM yields by extending the knowledge of RO 2 -NO interactions to the low-NO regime. This represents a major advance towards an accurate assessment of HOM budgets, especially in low-NO environments, which prevails in the pre-industrial atmosphere, pristine areas, and the upper boundary layer. 

Biogenic vapors form new particles in the atmosphere, affecting global climate. The contributions of monoterpenes and isoprene to new particle formation (NPF) have been extensively studied. However, sesquiterpenes have received little attention despite a potentially important role due to their high molecular weight. Via chamber experiments performed under atmospheric conditions, we report biogenic NPF resulting from the oxidation of pure mixtures of β-caryophyllene, α-pinene, and isoprene, which produces oxygenated compounds over a wide range of volatilities. We find that a class of vapors termed ultralow-volatility organic compounds (ULVOCs) are highly efficient nucleators and quantitatively determine NPF efficiency. When compared with a mixture of isoprene and monoterpene alone, adding only 2% sesquiterpene increases the ULVOC yield and doubles the formation rate. Thus, sesquiterpene emissions need to be included in assessments of global aerosol concentrations in pristine climates where biogenic NPF is expected to be a major source of cloud condensation nuclei.

 

Transformation of low-volatility gaseous precursors to new particles affects aerosol number concentration, cloud formation and hence the climate. The clustering of acid and base molecules is a major mechanism driving fast nucleation and initial growth of new particles in the atmosphere. However, the acid–base cluster composition, measured using state-of-the-art mass spectrometers, cannot explain the measured high formation rate of new particles. Here we present strong evidence for the existence of base molecules such as amines in the smallest atmospheric sulfuric acid clusters prior to their detection by mass spectrometers. We demonstrate that forming (H2SO4)1(amine)1 is the rate-limiting step in atmospheric H2SO4-amine nucleation and the uptake of (H2SO4)1(amine)1 is a major pathway for the initial growth of H2SO4 clusters. The proposed mechanism is very consistent with measured new particle formation in urban Beijing, in which dimethylamine is the key base for H2SO4 nucleation while other bases such as ammonia may contribute to the growth of larger clusters. Our findings further underline the fact that strong amines, even at low concentrations and when undetected in the smallest clusters, can be crucial to particle formation in the planetary boundary layer.

 

Abstract. The molecular composition and volatility of gaseous organiccompounds were investigated during April–July 2019 at the Station forMeasuring Ecosystem – Atmosphere Relations (SMEAR) II situated in a borealforest in Hyytiälä, southern Finland. In order to obtain a morecomplete picture and full understanding of the molecular composition andvolatility of ambient gaseous organic compounds (from volatile organiccompounds, VOCs, to highly oxygenated organic molecules, HOMs), twodifferent instruments were used. A Vocus proton-transfer-reactiontime-of-flight mass spectrometer (Vocus PTR-ToF; hereafter Vocus) wasdeployed to measure VOCs and less oxygenated VOCs (i.e., OVOCs). Inaddition, a multi-scheme chemical ionization inlet coupled to an atmosphericpressure interface time-of-flight mass spectrometer (MION API-ToF) was usedto detect less oxygenated VOCs (using Br− as the reagent ion; hereafterMION-Br) and more oxygenated VOCs (including HOMs; using NO3- asthe reagent ion; hereafter MION-NO3). The comparison among differentmeasurement techniques revealed that the highest elemental oxygen-to-carbonratios (O : C) of organic compounds were observed by the MION-NO3 (0.9 ± 0.1, average ± 1 standard deviation), followed by the MION-Br(0.8 ± 0.1); lowest O : C ratios were observed by Vocus (0.2 ± 0.1). Diurnal patternsof the measured organic compounds were found to vary among differentmeasurement techniques, even for compounds with the same molecular formula,suggesting contributions of different isomers detected by the differenttechniques and/or fragmentation from different parent compounds inside theinstruments. Based on the complementary molecular information obtained fromVocus, MION-Br, and MION-NO3, a more complete picture of the bulkvolatility of all measured organic compounds in this boreal forest wasobtained. As expected, the VOC class was the most abundant (about 53.2 %), followed by intermediate-volatility organic compounds (IVOCs, about45.9 %). Although condensable organic compounds (low-volatility organiccompounds, LVOCs; extremely low volatility organic compounds, ELVOCs; andultralow-volatility organic compounds, ULVOCs) only comprised about 0.2 %of the total gaseous organic compounds, they play an important role in newparticle formation as shown in previous studies in this boreal forest. Ourstudy shows the full characterization of the gaseous organic compounds inthe boreal forest and the advantages of combining Vocus and MION API-ToF formeasuring ambient organic compounds with different oxidation extents (fromVOCs to HOMs). The results therefore provide a more comprehensiveunderstanding of the molecular composition and volatility of atmosphericorganic compounds as well as new insights into interpreting ambientmeasurements or testing/improving parameterizations in transport and climatemodels.