Insights into the molecular composition of semi-volatile aerosols in the summertime central Arctic Ocean using FIGAERO-CIMS

Siegel, Karolina; Karlsson, Linn; Zieger, Paul; Baccarini, Andrea; Schmale, Julia; Lawler, Michael J.; Salter, Matthew; Leck, Caroline; Ekman, Annica M. L.; Riipinen, Ilona; Mohr, Claudia

doi:10.1039/d0ea00023j

Cited by 26 publications

(34 citation statements)

References 98 publications

(169 reference statements)

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“…The general goal of MOCCHA was to investigate potential links between marine microbiology, local aerosol emissions, and cloud formation in the central Arctic Ocean. 29 , 38 , 42 − 48 …”

Section: Methodsmentioning

confidence: 99%

Using Novel Molecular-Level Chemical Composition Observations of High Arctic Organic Aerosol for Predictions of Cloud Condensation Nuclei

Siegel

Neuberger

Karlsson

et al. 2022

Environ. Sci. Technol.

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Predictions of cloud droplet activation in the late summertime (September) central Arctic Ocean are made using κ -Köhler theory with novel observations of the aerosol chemical composition from a high-resolution time-of-flight chemical ionization mass spectrometer with a filter inlet for gases and aerosols (FIGAERO-CIMS) and an aerosol mass spectrometer (AMS), deployed during the Arctic Ocean 2018 expedition onboard the Swedish icebreaker Oden . We find that the hygroscopicity parameter κ of the total aerosol is 0.39 ± 0.19 (mean ± std). The predicted activation diameter of ∼25 to 130 nm particles is overestimated by 5%, leading to an underestimation of the cloud condensation nuclei (CCN) number concentration by 4–8%. From this, we conclude that the aerosol in the High Arctic late summer is acidic and therefore highly cloud active, with a substantial CCN contribution from Aitken mode particles. Variability in the predicted activation diameter is addressed mainly as a result of uncertainties in the aerosol size distribution measurements. The organic κ was on average 0.13, close to the commonly assumed κ of 0.1, and therefore did not significantly influence the predictions. These conclusions are supported by laboratory experiments of the activation potential of seven organic compounds selected as representative of the measured aerosol.

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“…The general goal of MOCCHA was to investigate potential links between marine microbiology, local aerosol emissions, and cloud formation in the central Arctic Ocean. 29 , 38 , 42 − 48 …”

Section: Methodsmentioning

confidence: 99%

Using Novel Molecular-Level Chemical Composition Observations of High Arctic Organic Aerosol for Predictions of Cloud Condensation Nuclei

Siegel

Neuberger

Karlsson

et al. 2022

Environ. Sci. Technol.

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“…In the boundary layer, the major sources are generally particles formed over the pack ice or in the marginal ice zone. This includes, for example, aerosol generated from bubble‐bursting at the surface of leads in the ice (e.g., Held et al., 2011 ; Leck & Bigg, 2005 ), blowing snow from sea ice (e.g., Frey et al., 2020 ; Yang et al., 2008 ), or secondary marine aerosol formation (e.g., Chang et al., 2011 ; Siegel et al., 2021 ) which can also include the formation of particles from inorganic vapors such as sulfuric acid (e.g., Beck et al., 2021 ; Leck et al., 2002 ) or iodic acid (e.g., Allan et al., 2015 ; Baccarini et al., 2020 ). Primary marine aerosol can be transported from outside the pack ice, but are usually a negligible source of particles to the boundary layer over the pack ice since they are efficiently scavenged by the presence of fog and low clouds at the marginal ice zone (e.g., Heintzenberg et al., 2006 ).…”

Section: Introductionmentioning

confidence: 99%

Physical and Chemical Properties of Cloud Droplet Residuals and Aerosol Particles During the Arctic Ocean 2018 Expedition

et al. 2022

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The Arctic is warming faster than any other environment on the planet (Manabe & Wetherald, 1975;Serreze & Barry, 2011). The accelerated warming-Arctic amplification-leads to other changes, such as sea ice decline, glacier melt, permafrost thaw, and changes in the composition of the biological communities in the Arctic Ocean (e.g., AMAP, 2015). Aerosol particles can affect Arctic climate directly, through interactions with radiation (e.g., AMAP, 2015), and indirectly, through interactions with clouds (Albrecht, 1989;Mauritsen et al., 2011;Twomey, 1977). Our limited understanding of the feedback mechanisms and local processes related to clouds and aerosol-cloud interactions in the Arctic contributes significantly to the uncertainty in projections of future Arctic climate (IPCC, 2013). The large differences between polar night and day in terms of, for example, radiation, sea ice, cloud type and phase (liquid, mixed-phase, or ice), and atmospheric circulation result in large seasonal variations not only in aerosol particle abundance and composition but also in their impact on clouds (e.g., Willis et al., 2018). These conditions make the Arctic environment particularly challenging to represent in large-scale climate models (e.g.,

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“…Method 3: In this method (Siegel et al, 2021), the instrument background is assessed by heating the same filter twice, assuming that during the first heating cycle, all detectable material has evaporated, and that what is measured in a reheating cycle is the instrument background signal. Ideally, reheating would be done for each sample individually.…”

Section: Background Subtractionmentioning

confidence: 99%

Characterization of offline analysis of particulate matter with FIGAERO-CIMS

Cai

Daellenbach²,

Wu³

et al. 2022

Preprint

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Abstract. Measurements of the molecular composition of organic aerosol (OA) constituents improve our understanding of sources, formation processes, and physicochemical properties of OA. One instrument providing such data at a time resolution of minutes to hours is the Chemical Ionization time-of-flight Mass Spectrometer with Filter Inlet for Gases and AEROsols (FIGAERO-CIMS). The technique collects particles on a filter, which are subsequently desorbed, and the evaporated molecules are ionized and analyzed in the mass spectrometer. However, long-term measurements using this technique and/or field deployments at several sites simultaneously, require substantial human and financial resources. The analysis of filter samples collected outside the instrument (offline) may provide a more cost-efficient alternative and makes this technology available for the large number of particle filter samples collected routinely at many different sites globally. Filter-based offline use of the FIGAERO-CIMS limits this method albeit to particle-phase analyses, likely at reduced time resolution compared to online deployments. Here we present the application and assessment of offline FIGAERO-CIMS, using Teflon and Quartz fiber filter samples that were collected in autumn 2018 in urban Beijing. We demonstrate the feasibility of the offline application with “sandwich” sample preparation for the identified over 900 organic compounds with (1) high signal-to-noise ratios, (2) high repeatability, and (3) linear signal response to the filter loadings. Comparable overall signals were observed between the Quartz fiber and Teflon filters for 12-h and 24-h samples, but with larger signals for semi-volatile compounds for the Quartz fiber filters, likely due to adsorption artifacts. We also compare desorption profile (thermogram) shapes for the two filter materials. Thermograms are used to derive volatility qualitatively based on the desorption temperature at which the maximum signal intensity of a compound is observed (Tmax). While we find that Tmax can be determined with high repeatability for one filter type, we observe considerable differences in Tmax between the Quartz and Teflon filters, warranting further investigation into the thermal desorption characteristics of different filter types. Overall, this study provides a basis for expanding OA molecular characterization by FIGAERO-CIMS to situations where and when deployment of the instrument itself is not possible.

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Insights into the molecular composition of semi-volatile aerosols in the summertime central Arctic Ocean using FIGAERO-CIMS

Abstract: The remote central Arctic during summertime has a pristine atmosphere with very low aerosol particle concentrations. As the region becomes increasingly ice-free during summer, enhanced ocean-atmosphere fluxes of aerosol particles...

Cited by 26 publications

References 98 publications

Using Novel Molecular-Level Chemical Composition Observations of High Arctic Organic Aerosol for Predictions of Cloud Condensation Nuclei

Using Novel Molecular-Level Chemical Composition Observations of High Arctic Organic Aerosol for Predictions of Cloud Condensation Nuclei

Physical and Chemical Properties of Cloud Droplet Residuals and Aerosol Particles During the Arctic Ocean 2018 Expedition

Characterization of offline analysis of particulate matter with FIGAERO-CIMS

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