96 results on '"Motos, Ghislain"'
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2. Drivers of droplet formation in east Mediterranean orographic clouds.
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Foskinis, Romanos, Motos, Ghislain, Gini, Maria I., Zografou, Olga, Gao, Kunfeng, Vratolis, Stergios, Granakis, Konstantinos, Vakkari, Ville, Violaki, Kalliopi, Aktypis, Andreas, Kaltsonoudis, Christos, Shi, Zongbo, Komppula, Mika, Pandis, Spyros N., Eleftheriadis, Konstantinos, Papayannis, Alexandros, and Nenes, Athanasios
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ATMOSPHERIC boundary layer ,CLOUD condensation nuclei ,OROGRAPHIC clouds ,ATMOSPHERIC aerosols ,CLOUD dynamics - Abstract
The purpose of this study is to understand the drivers of cloud droplet formation in orographic clouds. We used a combination of modeling, in situ, and remote sensing measurements at the high-altitude Helmos Hellenic Atmospheric Aerosol and Climate Change ((HAC) 2) station, which is located at the top of Mt. Helmos (1314 m above sea level), Greece, during the Cloud–AerosoL InteractionS in the Helmos Background TropOsphere (CALISHTO) campaign in fall 2021 (https://calishto.panacea-ri.gr/ , last access: 1 August 2024) to examine the origins of the aerosols (i.e., local aerosol from the planetary boundary layer (PBL) or long-range-transported aerosol from the free-tropospheric layer (FTL) contributing to the cloud condensation nuclei (CCN)), their characteristics (hygroscopicity, size distribution, and mixing state), and the vertical velocity distributions and resulting supersaturations. We found that the characteristics of the PBL aerosol were considerably different from FTL aerosol and use the aerosol particle number and equivalent mass concentration of the black carbon (eBC) in order to determine when (HAC) 2 was within the FTL or PBL based on time series of the height of the PBL. During the (HAC) 2 cloud events we sample a mixture of interstitial aerosol and droplet residues, which we characterize using a new approach that utilizes the in situ droplet measurements to determine time periods when the aerosol sample is purely interstitial. From the dataset we determine the properties (size distribution and hygroscopicity) of the pre-cloud, activated, and interstitial aerosol. The hygroscopicity of activated aerosol is found to be higher than that of the interstitial or pre-cloud aerosol. A series of closure studies with the droplet parameterization shows that cloud droplet concentration (Nd) and supersaturation can be predicted to within 25 % of observations when the aerosol size distributions correspond to pre-cloud conditions. The analysis of the characteristic supersaturation of each aerosol population indicates that droplet formation in clouds is aerosol-limited when formed in FTL air masses – hence droplet formation is driven by aerosol variations, while clouds formed in the PBL tend to be velocity-limited and droplet variations are driven by fluctuations in vertical velocity. Given that the cloud dynamics do not vary significantly between air masses, the variation in aerosol concentration and type is mostly responsible for these shifts in cloud microphysical state and sensitivity to aerosol. With these insights, the remote sensing of cloud droplets in such clouds can be used to infer either CCN spectra (when in the FTL) or vertical velocity (when in the PBL). In conclusion, we show that a coordinated measurement of aerosol and cloud properties, together with the novel analysis approaches presented here, allows for the determination of the drivers of droplet formation in orographic clouds and their sensitivity to aerosol and vertical velocity variations. [ABSTRACT FROM AUTHOR]
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- 2024
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3. Dependence of aerosol-borne influenza A virus infectivity on relative humidity and aerosol composition
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Motos, Ghislain, primary, Schaub, Aline, additional, David, Shannon C, additional, Costa, Laura, additional, Terrettaz, Celine C, additional, Kaltsonoudis, Christos, additional, Glas, Irina, additional, Klein, Liviana, additional, Bluvshtein, Nir, additional, Luo, Beiping, additional, Violaki, Kalliopi, additional, Pohl, Marie, additional, Hugentobler, Walter, additional, Krieger, Ulrich K, additional, Pandis, Spyros, additional, Stertz, Silke, additional, Peter, Thomas, additional, Kohn, Tamar, additional, and Nenes, Athanasios, additional
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- 2024
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4. Impact of Organic Compounds on the Stability of Influenza A Virus in deposited 1-ul droplets
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Schaub, Aline, primary, David, Shannon C., additional, Glas, Irina, additional, Klein, Liviana K, additional, Violaki, Kalliopi, additional, Terrettaz, Celine, additional, Motos, Ghislain, additional, Bluvshtein, Nir, additional, Luo, Beiping, additional, Pohl, Marie O, additional, Hugentobler, Walter, additional, Nenes, Athanasios, additional, Krieger, Ulrich K, additional, Peter, Thomas, additional, Stertz, Silke, additional, and Kohn, Tamar, additional
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- 2024
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5. Salt Supersaturation as an Accelerator of Influenza A Virus Inactivation in 1 μL Droplets
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Schaub, Aline, Luo, Beiping, David, Shannon C., Glas, Irina, Klein, Liviana K., Costa, Laura, Terrettaz, Céline, Bluvshtein, Nir, Motos, Ghislain, Violaki, Kalliopi, Pohl, Marie O., Hugentobler, Walter, Nenes, Athanasios, Stertz, Silke, Krieger, Ulrich K., Peter, Thomas, and Kohn, Tamar
- Abstract
Influenza A virus (IAV) spreads through exhaled aerosol particles and larger droplets. Estimating the stability of IAV is challenging and depends on factors such as the respiratory matrix and drying kinetics. Here, we combine kinetic experiments on millimeter-sized saline droplets with a biophysical aerosol model to quantify the impact of NaCl on IAV stability. We show that IAV inactivation is determined by NaCl concentration, which increases during water evaporation and then decreases again when efflorescence occurs. When drying in air with relative humidity RH = 30%, inactivation follows an inverted sigmoidal curve, with inactivation occurring most rapidly when the NaCl concentration exceeds 20 mol/(kg H2O) immediately prior to efflorescence. Efflorescence reduces the NaCl molality to saturated conditions, resulting in a significantly reduced inactivation rate. We demonstrate that the inactivation rate kdepends exponentially on NaCl molality, and after the solution reaches equilibrium, the inactivation proceeds at a first-order rate. Introducing sucrose, an organic cosolute, attenuates IAV inactivation via two mechanisms: first by decreasing the NaCl molality during the drying phase and second by a protective effect against the NaCl-induced inactivation. For both pure saline and sucrose-containing droplets, our biophysical model ResAM accurately simulates the inactivation when NaCl molality is used as the only inactivating factor. This study highlights the role of NaCl molality in IAV inactivation and provides a mechanistic basis for the observed inactivation rates.
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- 2024
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6. Stability of influenza A virus in droplets and aerosols is heightened by the presence of commensal respiratory bacteria
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David, Shannon C., primary, Schaub, Aline, additional, Terrettaz, Céline, additional, Motos, Ghislain, additional, Costa, Laura J., additional, Nolan, Daniel S., additional, Augugliaro, Marta, additional, Glas, Irina, additional, Pohl, Marie O., additional, Klein, Liviana K., additional, Luo, Beiping, additional, Bluvshtein, Nir, additional, Violaki, Kalliopi, additional, Hugentobler, Walter, additional, Krieger, Ulrich K., additional, Peter, Thomas, additional, Stertz, Silke, additional, Nenes, Athanasios, additional, and Kohn, Tamar, additional
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- 2024
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7. Salt-mediated inactivation of influenza A virus in 1-ul droplets exhibits exponential dependence on NaCl molality
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Schaub, Aline, primary, Luo, Beiping, additional, David, Shannon C, additional, Glas, Irina, additional, Klein, Liviana K, additional, Costa, Laura, additional, Terrettaz, Celine, additional, Bluvshtein, Nir, additional, Motos, Ghislain, additional, Violaki, Kalliopi, additional, Pohl, Marie, additional, Hugentobler, Walter, additional, Nenes, Athanasios, additional, Stertz, Silke, additional, Krieger, Ulrich K, additional, Peter, Thomas, additional, and Kohn, Tamar, additional
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- 2023
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8. Inactivation mechanisms of influenza A virus under pH conditions encountered in aerosol particles as revealed by whole-virus HDX-MS
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David, Shannon C., primary, Vadas, Oscar, additional, Glas, Irina, additional, Schaub, Aline, additional, Luo, Beiping, additional, D'angelo, Giovanni, additional, Montoya, Jonathan Paz, additional, Bluvshtein, Nir, additional, Hugentobler, Walter, additional, Klein, Liviana K., additional, Motos, Ghislain, additional, Pohl, Marie, additional, Violaki, Kalliopi, additional, Nenes, Athanasios, additional, Krieger, Ulrich K., additional, Stertz, Silke, additional, Peter, Thomas, additional, and Kohn, Tamar, additional
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- 2023
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9. The neuraminidase activity of influenza A virus determines the strain-specific sensitivity to neutralization by respiratory mucus
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Iseli, Alena N., primary, Pohl, Marie O., additional, Glas, Irina, additional, Gaggioli, Elisabeth, additional, Martínez-Barragán, Patricia, additional, David, Shannon C., additional, Schaub, Aline, additional, Luo, Beiping, additional, Klein, Liviana K., additional, Bluvshtein, Nir, additional, Violaki, Kalliopi, additional, Motos, Ghislain, additional, Hugentobler, Walter, additional, Nenes, Athanasios, additional, Krieger, Ulrich K., additional, Peter, Thomas, additional, Kohn, Tamar, additional, and Stertz, Silke, additional
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- 2023
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10. Physicochemical characterization and source apportionment of Arctic ice-nucleating particles observed in Ny-Ålesund in autumn 2019
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Li, Guangyu, primary, Wilbourn, Elise K., additional, Cheng, Zezhen, additional, Wieder, Jörg, additional, Fagerson, Allison, additional, Henneberger, Jan, additional, Motos, Ghislain, additional, Traversi, Rita, additional, Brooks, Sarah D., additional, Mazzola, Mauro, additional, China, Swarup, additional, Nenes, Athanasios, additional, Lohmann, Ulrike, additional, Hiranuma, Naruki, additional, and Kanji, Zamin A., additional
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- 2023
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11. Comment on egusphere-2023-530
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Motos, Ghislain, primary
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- 2023
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12. Supplementary material to "Aerosol and dynamical contributions to cloud droplet formation in Arctic low-level clouds"
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Motos, Ghislain, primary, Freitas, Gabriel, additional, Georgakaki, Paraskevi, additional, Wieder, Jörg, additional, Li, Guangyu, additional, Aas, Wenche, additional, Lunder, Chris, additional, Krejci, Radovan, additional, Pasquier, Julie Therese, additional, Henneberger, Jan, additional, David, Robert Oscar, additional, Ritter, Christoph, additional, Mohr, Claudia, additional, Zieger, Paul, additional, and Nenes, Athanasios, additional
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- 2023
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13. Aerosol and dynamical contributions to cloud droplet formation in Arctic low-level clouds
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Motos, Ghislain, primary, Freitas, Gabriel, additional, Georgakaki, Paraskevi, additional, Wieder, Jörg, additional, Li, Guangyu, additional, Aas, Wenche, additional, Lunder, Chris, additional, Krejci, Radovan, additional, Pasquier, Julie Therese, additional, Henneberger, Jan, additional, David, Robert Oscar, additional, Ritter, Christoph, additional, Mohr, Claudia, additional, Zieger, Paul, additional, and Nenes, Athanasios, additional
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- 2023
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14. The neuraminidase activity of influenza A virus determines the strain-specific sensitivity to neutralization by respiratory mucus
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Iseli, Alena N; https://orcid.org/0009-0007-0382-7547, Pohl, Marie O; https://orcid.org/0000-0002-9876-3836, Glas, Irina; https://orcid.org/0000-0001-6976-6360, Gaggioli, Elisabeth, Martínez-Barragán, Patricia, David, Shannon C, Schaub, Aline, Luo, Beiping, Klein, Liviana K, Bluvshtein, Nir, Violaki, Kalliopi, Motos, Ghislain, Hugentobler, Walter, Nenes, Athanasios, Krieger, Ulrich K, Peter, Thomas, Kohn, Tamar; https://orcid.org/0000-0003-0395-6561, Stertz, Silke; https://orcid.org/0000-0001-9491-2892, Iseli, Alena N; https://orcid.org/0009-0007-0382-7547, Pohl, Marie O; https://orcid.org/0000-0002-9876-3836, Glas, Irina; https://orcid.org/0000-0001-6976-6360, Gaggioli, Elisabeth, Martínez-Barragán, Patricia, David, Shannon C, Schaub, Aline, Luo, Beiping, Klein, Liviana K, Bluvshtein, Nir, Violaki, Kalliopi, Motos, Ghislain, Hugentobler, Walter, Nenes, Athanasios, Krieger, Ulrich K, Peter, Thomas, Kohn, Tamar; https://orcid.org/0000-0003-0395-6561, and Stertz, Silke; https://orcid.org/0000-0001-9491-2892
- Abstract
The respiratory tract of humans is constantly exposed to potentially harmful agents, such as small particles or pathogens, and thus requires protective measures. Respiratory mucus that lines the airway epithelia plays a major role in the prevention of viral infections by limiting the mobility of viruses, allowing subsequent mucociliary clearance. Understanding the interplay between respiratory mucus and viruses can help elucidate host and virus characteristics that enable the initiation of infection. Here, we tested a panel of primary influenza A viruses of avian or human origin for their sensitivity to mucus derived from primary human airway cultures and found that differences between virus strains can be mapped to viral neuraminidase activity. We also show that binding of influenza A viruses to decoy receptors on highly glycosylated mucus components constitutes the major inhibitory function of mucus against influenza A viruses.
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- 2023
15. Inactivation mechanisms of influenza A virus under pH conditions encountered in aerosol particles as revealed by whole-virus HDX-MS
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David, Shannon C; https://orcid.org/0000-0003-3345-9443, Vadas, Oscar, Glas, Irina; https://orcid.org/0000-0001-6976-6360, Schaub, Aline, Luo, Beiping, D'angelo, Giovanni, Montoya, Jonathan Paz, Bluvshtein, Nir, Hugentobler, Walter, Klein, Liviana K, Motos, Ghislain, Pohl, Marie; https://orcid.org/0000-0002-9876-3836, Violaki, Kalliopi, Nenes, Athanasios, Krieger, Ulrich K, Stertz, Silke; https://orcid.org/0000-0001-9491-2892, Peter, Thomas, Kohn, Tamar; https://orcid.org/0000-0003-0395-6561, David, Shannon C; https://orcid.org/0000-0003-3345-9443, Vadas, Oscar, Glas, Irina; https://orcid.org/0000-0001-6976-6360, Schaub, Aline, Luo, Beiping, D'angelo, Giovanni, Montoya, Jonathan Paz, Bluvshtein, Nir, Hugentobler, Walter, Klein, Liviana K, Motos, Ghislain, Pohl, Marie; https://orcid.org/0000-0002-9876-3836, Violaki, Kalliopi, Nenes, Athanasios, Krieger, Ulrich K, Stertz, Silke; https://orcid.org/0000-0001-9491-2892, Peter, Thomas, and Kohn, Tamar; https://orcid.org/0000-0003-0395-6561
- Abstract
Multiple respiratory viruses, including influenza A virus (IAV), can be transmitted via expiratory aerosol particles, and aerosol pH was recently identified as a major factor influencing airborne virus infectivity. Indoors, small exhaled aerosols undergo rapid acidification to pH ~4. IAV is known to be sensitive to mildly acidic conditions encountered within host endosomes; however, it is unknown whether the same mechanisms could mediate viral inactivation within the more acidic aerosol micro-environment. Here, we identified that transient exposure to pH 4 caused IAV inactivation by a two-stage process, with an initial sharp decline in infectious titers mainly attributed to premature attainment of the post-fusion conformation of viral protein haemagglutinin (HA). Protein changes were observed by hydrogen-deuterium exchange coupled to mass spectrometry (HDX-MS) as early as 10 s post-exposure to acidic conditions. Our HDX-MS data are in agreement with other more labor-intensive structural analysis techniques, such as X-ray crystallography, highlighting the ease and usefulness of whole-virus HDX-MS for multiplexed protein analyses, even within enveloped viruses such as IAV. Additionally, virion integrity was partially but irreversibly affected by acidic conditions, with a progressive unfolding of the internal matrix protein 1 (M1) that aligned with a more gradual decline in viral infectivity with time. In contrast, no acid-mediated changes to the genome or lipid envelope were detected. Improved understanding of respiratory virus fate within exhaled aerosols constitutes a global public health priority, and information gained here could aid the development of novel strategies to control the airborne persistence of seasonal and/or pandemic influenza in the future. IMPORTANCE: It is well established that COVID-19, influenza, and many other respiratory diseases can be transmitted by the inhalation of aerosolized viruses. Many studies have shown that the survival time of the
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- 2023
16. Expiratory Aerosol pH: The Overlooked Driver of Airborne Virus Inactivation
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Luo, Beiping, Schaub, Aline; https://orcid.org/0000-0002-1468-6678, Glas, Irina; https://orcid.org/0000-0001-6976-6360, Klein, Liviana K; https://orcid.org/0000-0002-7205-1718, David, Shannon C; https://orcid.org/0000-0003-3345-9443, Bluvshtein, Nir; https://orcid.org/0000-0002-7999-4460, Violaki, Kalliopi, Motos, Ghislain, Pohl, Marie O; https://orcid.org/0000-0002-9876-3836, Hugentobler, Walter; https://orcid.org/0000-0002-7379-752X, Nenes, Athanasios; https://orcid.org/0000-0003-3873-9970, Krieger, Ulrich K; https://orcid.org/0000-0003-4958-2657, Stertz, Silke; https://orcid.org/0000-0001-9491-2892, Peter, Thomas, Kohn, Tamar; https://orcid.org/0000-0003-0395-6561, Luo, Beiping, Schaub, Aline; https://orcid.org/0000-0002-1468-6678, Glas, Irina; https://orcid.org/0000-0001-6976-6360, Klein, Liviana K; https://orcid.org/0000-0002-7205-1718, David, Shannon C; https://orcid.org/0000-0003-3345-9443, Bluvshtein, Nir; https://orcid.org/0000-0002-7999-4460, Violaki, Kalliopi, Motos, Ghislain, Pohl, Marie O; https://orcid.org/0000-0002-9876-3836, Hugentobler, Walter; https://orcid.org/0000-0002-7379-752X, Nenes, Athanasios; https://orcid.org/0000-0003-3873-9970, Krieger, Ulrich K; https://orcid.org/0000-0003-4958-2657, Stertz, Silke; https://orcid.org/0000-0001-9491-2892, Peter, Thomas, and Kohn, Tamar; https://orcid.org/0000-0003-0395-6561
- Abstract
Respiratory viruses, including influenza virus and SARS-CoV-2, are transmitted by the airborne route. Air filtration and ventilation mechanically reduce the concentration of airborne viruses and are necessary tools for disease mitigation. However, they ignore the potential impact of the chemical environment surrounding aerosolized viruses, which determines the aerosol pH. Atmospheric aerosol gravitates toward acidic pH, and enveloped viruses are prone to inactivation at strong acidity levels. Yet, the acidity of expiratory aerosol particles and its effect on airborne virus persistence have not been examined. Here, we combine pH-dependent inactivation rates of influenza A virus (IAV) and SARS-CoV-2 with microphysical properties of respiratory fluids using a biophysical aerosol model. We find that particles exhaled into indoor air (with relative humidity ≥ 50%) become mildly acidic (pH ∼ 4), rapidly inactivating IAV within minutes, whereas SARS-CoV-2 requires days. If indoor air is enriched with nonhazardous levels of nitric acid, aerosol pH drops by up to 2 units, decreasing 99%-inactivation times for both viruses in small aerosol particles to below 30 s. Conversely, unintentional removal of volatile acids from indoor air may elevate pH and prolong airborne virus persistence. The overlooked role of aerosol acidity has profound implications for virus transmission and mitigation strategies.
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- 2023
17. Aerosol and dynamical contributions to cloud droplet formation in Arctic low-level clouds.
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Motos, Ghislain, Freitas, Gabriel, Georgakaki, Paraskevi, Wieder, Jörg, Li, Guangyu, Aas, Wenche, Lunder, Chris, Krejci, Radovan, Pasquier, Julie Thérèse, Henneberger, Jan, David, Robert Oscar, Ritter, Christoph, Mohr, Claudia, Zieger, Paul, and Nenes, Athanasios
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CLOUD droplets ,AEROSOLS ,ICE clouds ,ICE nuclei ,WIND speed ,PARTICLE size distribution ,SPRING - Abstract
The Arctic is one of the most rapidly warming regions of the globe. Low-level clouds and fog modify the energy transfer from and to space and play a key role in the observed strong Arctic surface warming, a phenomenon commonly termed "Arctic amplification". The response of low-level clouds to changing aerosol characteristics throughout the year is therefore an important driver of Arctic change that currently lacks sufficient constraints. As such, during the NASCENT campaign (Ny-Ålesund AeroSol Cloud ExperimeNT) extending over a full year from October 2019 to October 2020, microphysical properties of aerosols and clouds were studied at the Zeppelin station (475 m a.s.l.), Ny-Ålesund, Svalbard, Norway. Particle number size distributions obtained from differential mobility particle sizers as well as chemical composition derived from filter samples and an aerosol chemical speciation monitor were analyzed together with meteorological data, in particular vertical wind velocity. The results were used as input to a state-of-the-art cloud droplet formation parameterization to investigate the particle sizes that can activate to cloud droplets, the levels of supersaturation that can develop, the droplet susceptibility to aerosol and the role of vertical velocity. We evaluate the parameterization and the droplet numbers calculated through a droplet closure with in-cloud in situ measurements taken during nine flights over 4 d. A remarkable finding is that, for the clouds sampled in situ, closure is successful in mixed-phase cloud conditions regardless of the cloud glaciation fraction. This suggests that ice production through ice–ice collisions or droplet shattering may have explained the high ice fraction, as opposed to rime splintering that would have significantly reduced the cloud droplet number below levels predicted by warm-cloud activation theory. We also show that pristine-like conditions during fall led to clouds that formed over an aerosol-limited regime, with high levels of supersaturation (generally around 1 %, although highly variable) that activate particles smaller than 20 nm in diameter. Clouds formed in the same regime in late spring and summer, but aerosol activation diameters were much larger due to lower cloud supersaturations (ca. 0.5 %) that develop because of higher aerosol concentrations and lower vertical velocities. The contribution of new particle formation to cloud formation was therefore strongly limited, at least until these newly formed particles started growing. However, clouds forming during the Arctic haze period (winter and early spring) can be limited by updraft velocity, although rarely, with supersaturation levels dropping below 0.1 % and generally activating larger particles (20 to 200 nm), including pollution transported over a long range. The relationship between updraft velocity and the limiting cloud droplet number agrees with previous observations of various types of clouds worldwide, which supports the universality of this relationship. [ABSTRACT FROM AUTHOR]
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- 2023
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18. Linking aerosol size distribution and hygroscopicity to cloud droplet formation at an Arctic mountain site
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Motos, Ghislain, primary, Freitas, Gabriel, additional, Georgakaki, Paraskevi, additional, Wieder, Jörg, additional, Aas, Wenche, additional, Lunder, Chris, additional, Krejci, Radovan, additional, T. Pasquier, Julie, additional, Henneberger, Jan, additional, O. David, Robert, additional, Mohr, Claudia, additional, Zieger, Paul, additional, and Nenes, Athanasios, additional
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- 2023
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19. Expiratory Aerosol pH: The Overlooked Driver of Airborne Virus Inactivation
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Luo, Beiping, primary, Schaub, Aline, additional, Glas, Irina, additional, Klein, Liviana K., additional, David, Shannon C., additional, Bluvshtein, Nir, additional, Violaki, Kalliopi, additional, Motos, Ghislain, additional, Pohl, Marie O., additional, Hugentobler, Walter, additional, Nenes, Athanasios, additional, Krieger, Ulrich K., additional, Stertz, Silke, additional, Peter, Thomas, additional, and Kohn, Tamar, additional
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- 2022
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20. Inactivation mechanisms of Influenza A virus under pH conditions encountered in aerosol particles as revealed by whole-virus HDX-MS
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David, Shannon C., primary, Vadas, Oscar, additional, Glas, Irina, additional, Schaub, Aline, additional, Luo, Beiping, additional, D’Angelo, Giovanni, additional, Montoya, Jonathan Paz, additional, Bluvshtein, Nir, additional, Hugentobler, Walter, additional, Klein, Liviana K., additional, Motos, Ghislain, additional, Pohl, Marie, additional, Violaki, Kalliopi, additional, Nenes, Athanasios, additional, Krieger, Ulrich K., additional, Stertz, Silke, additional, Peter, Thomas, additional, and Kohn, Tamar, additional
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- 2022
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21. Expiratory aerosol pH is determined by indoor room trace gases and particle size
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Klein, Liviana K, Luo, Beiping, Bluvshtein, Nir, Krieger, Ulrich K, Schaub, Aline, Glas, Irina, David, Shannon C, Violaki, Kalliopi, Motos, Ghislain, Pohl, Marie O, Hugentobler, Walter, Nenes, Athanasios, Stertz, Silke, Peter, Thomas, Kohn, Tamar, University of Zurich, and Klein, Liviana K
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10028 Institute of Medical Virology ,Aerosols ,1000 Multidisciplinary ,Multidisciplinary ,Air Pollution, Indoor ,570 Life sciences ,biology ,610 Medicine & health ,Gases ,Hydrogen-Ion Concentration ,Particle Size ,Environmental Monitoring - Abstract
Proceedings of the National Academy of Sciences of the United States of America, 119 (39), ISSN:0027-8424, ISSN:1091-6490
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- 2022
22. Expiratory aerosol pH is determined by indoor room trace gases and particle size
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Klein, Liviana K; https://orcid.org/0000-0002-7205-1718, Luo, Beiping, Bluvshtein, Nir; https://orcid.org/0000-0002-7999-4460, Krieger, Ulrich K; https://orcid.org/0000-0003-4958-2657, Schaub, Aline; https://orcid.org/0000-0002-1468-6678, Glas, Irina; https://orcid.org/0000-0001-6976-6360, David, Shannon C; https://orcid.org/0000-0003-3345-9443, Violaki, Kalliopi; https://orcid.org/0000-0003-4612-3973, Motos, Ghislain, Pohl, Marie O; https://orcid.org/0000-0002-9876-3836, Hugentobler, Walter; https://orcid.org/0000-0002-7379-752X, Nenes, Athanasios; https://orcid.org/0000-0003-3873-9970, Stertz, Silke; https://orcid.org/0000-0001-9491-2892, Peter, Thomas; https://orcid.org/0000-0002-7218-7156, Kohn, Tamar; https://orcid.org/0000-0003-0395-6561, Klein, Liviana K; https://orcid.org/0000-0002-7205-1718, Luo, Beiping, Bluvshtein, Nir; https://orcid.org/0000-0002-7999-4460, Krieger, Ulrich K; https://orcid.org/0000-0003-4958-2657, Schaub, Aline; https://orcid.org/0000-0002-1468-6678, Glas, Irina; https://orcid.org/0000-0001-6976-6360, David, Shannon C; https://orcid.org/0000-0003-3345-9443, Violaki, Kalliopi; https://orcid.org/0000-0003-4612-3973, Motos, Ghislain, Pohl, Marie O; https://orcid.org/0000-0002-9876-3836, Hugentobler, Walter; https://orcid.org/0000-0002-7379-752X, Nenes, Athanasios; https://orcid.org/0000-0003-3873-9970, Stertz, Silke; https://orcid.org/0000-0001-9491-2892, Peter, Thomas; https://orcid.org/0000-0002-7218-7156, and Kohn, Tamar; https://orcid.org/0000-0003-0395-6561
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- 2022
23. Atmospheric acidity and its impacts on macronutrient deposition and plant growth
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Arangio, Andrea, primary, Violaki, Kalliopi, additional, Quezada Rivera, Juan-Carlos, additional, He, Megan, additional, Motos, Ghislain, additional, Bragazza, Luca, additional, Grossiord, Charlotte, additional, Buttler, Alexandre, additional, and Nenes, Athanasios, additional
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- 2022
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24. Improving the conservation of virus infectivity during airborne exposure experiments
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Motos, Ghislain, primary, Violaki, Kalliopi, additional, Schaub, Aline, additional, David, Shannon, additional, Kohn, Tamar, additional, and Nenes, Athanasios, additional
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- 2022
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25. Acidity of expiratory aerosols controls the infectivity of airborne influenza virus and SARS-CoV-2
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Luo, Beiping, primary, Schaub, Aline, additional, Glas, Irina, additional, Klein, Liviana K., additional, David, Shannon C., additional, Bluvshtein, Nir, additional, Violaki, Kalliopi, additional, Motos, Ghislain, additional, Pohl, Marie, additional, Hugentobler, Walter, additional, Nenes, Athanasios, additional, Krieger, Ulrich K., additional, Stertz, Silke, additional, Peter, Thomas, additional, and Kohn, Tamar, additional
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- 2022
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26. Physicochemical Characterization and Source Apportionment of Arctic Ice Nucleating Particles Observed in Ny-Ålesund in Autumn 2019.
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Guangyu Li, Wilbourn, Elise K., Zezhen Cheng, Wieder, Jörg, Fagerson, Allison, Henneberger, Jan, Motos, Ghislain, Traversi, Rita, Brooks, Sarah D., Mazzola, Mauro, China, Swarup, Nenes, Athanasios, Lohmann, Ulrike, Hiranuma, Naruki, and Kanji, Zamin A.
- Abstract
Ice nucleating particles (INPs) initiate primary ice formation in Arctic mixed-phase clouds (MPCs), altering cloud radiative properties and modulating precipitation. For atmospheric INPs, the complexity of their spatiotemporal variations, heterogeneous sources and evolution via intricate atmospheric interactions challenge the understanding of their impact on microphysical processes in Arctic MPCs and induce an uncertain representation in climate models. In this work, we performed a comprehensive analysis of atmospheric aerosols at the Arctic coastal site in Ny-Ålesund (Svalbard, Norway) from October to November 2019, including their ice nucleation ability, physicochemical properties and potential sources. Overall, INP concentrations NINP) during the observation season were approximately up to three orders of magnitude lower compared to the global average, with several samples showing degradation of NINP after heat treatment, implying the presence of proteinaceous INPs. Particle fluorescence was substantially associated with INP concentrations at warmer ice nucleation temperatures, indicating that in the far-reaching Arctic, aerosols of biogenic origin throughout the snow- and ice-free season may serve as important INP sources. In addition, case studies revealed the links between elevated NINP to heat-lability, fluorescence, high wind speeds originating from the ocean, augmented concentration of coarse-mode particles and abundant organics. Backward trajectory analysis demonstrated a potential connection between high-latitude dust sources and high INP concentrations, while prolonged air mass history over the ice pack was identified for most scant INP cases. The combination of the above analyses demonstrates the abundance, physicochemical properties and potential sources of INPs in the Arctic are highly variable despite its remote location. [ABSTRACT FROM AUTHOR]
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- 2023
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27. Comment on amt-2021-136
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Motos, Ghislain, primary
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- 2021
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28. In-situ observations of aerosol-cloud interactions in Ny-Ålesund, Svalbard, during fall 2019 and spring 2020
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Motos, Ghislain, primary, Georgakaki, Paraskevi, additional, Zieger, Paul, additional, Wieder, Jörg, additional, Lohmann, Ulrike, additional, and Nenes, Athanasios, additional
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- 2021
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29. Black Carbon Aerosols in the Lower Free Troposphere are Heavily Coated in Summer but Largely Uncoated in Winter at Jungfraujoch in the Swiss Alps
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Motos, Ghislain, primary, Corbin, Joel C., additional, Schmale, Julia, additional, Modini, Rob L., additional, Bertò, Michele, additional, Kupiszewski, Piotr, additional, Baltensperger, Urs, additional, and Gysel‐Beer, Martin, additional
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- 2020
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30. Corrigendum: Collocated observations of cloud condensation nuclei, particle size distributions, and chemical composition
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Schmale, Julia, Henning, Silvia, Henzing, Bas, Keskinen, Helmi, Sellegri, Karine, Ovadnevaite, Jurgita, Bougiatioti, Aikaterini, Kalivitis, Nikos, Stavroulas, Iasonas, Jefferson, Anne, Park, Minsu, Schlag, Patrick, Kristensson, Adam, Iwamoto, Yoko, Pringle, Kirsty, Reddington, Carly, Aalto, Pasi, Äijälä, Mikko, Baltensperger, Urs, Bialek, Jakub, Birmili, Wolfram, Bukowiecki, Nicolas, Ehn, Mikael, Fjæraa, Ann Mari, Fiebig, Markus, Frank, Göran, Fröhlich, Roman, Frumau, Arnoud, Furuya, Masaki, Hammer, Emanuel, Heikkinen, Liine, Herrmann, Erik, Holzinger, Rupert, Hyono, Hiroyuki, Kanakidou, Maria, Kiendler-Scharr, Astrid, Kinouchi, Kento, Kos, Gerard, Kulmala, Markku, Mihalopoulos, Nikolaos, Motos, Ghislain, Nenes, Athanasios, O'Dowd, Colin, Paramonov, Mikhail, Petäjä, Tuukka, Picard, David, Poulain, Laurent, Prévôt, André Stephan Henry, Slowik, Jay, Sonntag, Andre, Swietlicki, Erik, Svenningsson, Birgitta, Tsurumaru, Hiroshi, Wiedensohler, Alfred, Wittbom, Cerina, Ogren, John A., Matsuki, Atsushi, Yum, Seong Soo, Myhre, Cathrine Lund, Carslaw, Ken, Stratmann, Frank, Gysel, Martin, Sub Atmospheric physics and chemistry, and Marine and Atmospheric Research
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Statistics and Probability ,Statistics, Probability and Uncertainty ,Library and Information Sciences ,Information Systems ,Education ,Computer Science Applications - Abstract
This corrects the article DOI: 10.1038/sdata.2017.3.
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- 2018
31. Cloud and fog droplet activation of atmospheric black carbon: In-situ observations of the influence of particle size, mixing state and ambient supersaturation
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Motos, Ghislain, Baltensperger, Urs, Lohmann, Ulrike, Coe, Hugh, and Gysel-Beer, Martin
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Black carbon ,Earth sciences ,ddc:550 ,Aerosol-cloud interactions ,ddc:333.7 ,Natural resources, energy and environment - Abstract
“If I wake up with a nightmare, it is the indirect aerosol effect.” admitted Veerabhadran Ramanathan , one of the most eminent climate scientists worldwide, in year 2000. Progress has been achieved since then, but the quote still summarizes the difficulties met by the scientific community to reach a detailed understanding of the interactions between two highly complex systems: aerosols and clouds. These difficulties arise mainly because aerosol-cloud interactions, compared to e.g. greenhouse gases, entangle complex thermodynamics, microphysics, optics and multi-phase chemistry within local and short-term scales. Today, the radiative forcing caused by anthropogenic aerosols concentrations and interactions with clouds and solar radiation remains the largest obstacle to the understanding and accurate quantification of the global anthropogenic radiative forcing. Attempting to push the degree of complexity a step further in the description of aerosol-cloud interactions could be perceived as unreasonable but it has recently become clear that this is necessary to accurately simulate the climate forcing of aerosols. Black carbon (BC), a subset of the particulate matter known to be both a strong radiation absorber and insoluble in water, has been shown to coagulate with organic and inorganic material and act as a nucleus for these materials to condense on, forming a water-soluble coating surrounding the BC core. In the early 21st century, vigorous efforts were undertaken to identify and quantify the interactions of BC with clouds and radiation, as well as the resulting feedbacks with other components of the climate system. A detailed review published in 2013 ranked BC second only to carbon dioxide (CO2) and slightly ahead of methane (CH4) in promoting global warming, despite its relatively sparse presence in the atmosphere. Moreover, modelling studies that simulate emission inventories revealed that the dominant fraction of atmospheric BC originates from human activities through incomplete combustion of solid and liquid fuels. Controlling BC emissions, by e.g. reducing the incomplete combustion from heat engines, therefore appears as a strategic lever to mitigate anthropogenic climate modifications. However, several aspects linked to the mixing state of BC can explain the current difficulty to bound the climate impacts of BC: the timescale for coating acquisition is still not clear; the modifications of particle optical properties due to coating acquisition is still discussed; and the amount of coating required for cloud droplet activation, a process that strongly facilitates removal from the atmosphere, is still not accurately quantified. The work presented in this thesis firstly addresses the latter aspect before focusing on the characterization of BC properties at a high-altitude site. In this thesis, we strived for a better characterization of BC and a more quantitative description of BC activation in different cloud environments. The relative influences of particle properties and cloud supersaturation on cloud droplet activation of BC were investigated by performing two field campaigns, allowing for the sampling of BC at different degrees of aging as well as different cloud supersaturations. Firstly, a field campaign was conducted at Irchel campus in the city of Zurich during winter 2015/2016. The droplet activation of BC at very low supersaturation (fog) was investigated depending on BC size and mixing state, two highly variable parameters in such an environment because of the variety of sources and atmospheric age (e.g. fresh traffic and residential emissions, aged background aerosol). Secondly, the high-altitude research station Jungfraujoch, positioned on a mountain ridge in the Swiss Alps (3580 m a.s.l.) and frequently located within clouds served as a measurement site during summer 2016 (CLACE2016 campaign). The importance of each factor influencing cloud droplet activation of heavily aged BC (size, mixing state, hygroscopicity, cloud supersaturation) was studied and linked to the fraction of BC-containing particles activated to cloud droplets. Such research questions could be addressed by in-fog/cloud sampling and switching between different inlets. This permitted to selectively sample interstitial (unactivated) particles, cloud droplet residual particles and the total aerosol (sum of interstitial aerosol and droplet residual particles). By comparing instrumental data behind these three inlets, we were able to retrieve important information such as the number fraction of BC-containing, BC-free and total aerosol that activated to fog or cloud droplets (i.e. activated fractions), as well as differences in particle properties. The main instrument utilized during these campaigns was the single-particle soot photometer (SP2), which provides information on the BC core mass-equivalent diameter as well as the optical diameter of BC-containing and BC-free particles. Relating the optical diameter to the BC core diameter provides quantitative information on the BC mixing state at a single-particle level. Activation cut-off diameters from activated fractions combined with cloud condensation nuclei counter (CCNC) data were utilized to retrieve cloud effective peak supersaturation (SSpeak). In addition, information on the bulk aerosol hygroscopicity and mixing state was retrieved. Besides the cloud activation properties of BC, the concentration, size distribution and mixing state of BC were characterized at the Jungfraujoch site both in summer and winter using SP2 data from the aforementioned CLACE2016 campaign and the CLACE2014 campaign, respectively. We also investigated the dependence of these properties on the type of air mass, i.e. free troposphere (FT) versus planetary boundary layer (PBL)-influenced conditions and wind direction. In Zurich, close to emission sources, the aerosol was a mixture of freshly-emitted externally mixed particles and more internally mixed residential or background aerosol. Both degrees of mixing state coexisted with variable respective contributions depending on the time of the day: peak morning emissions during working days caused the major input of freshly emitted particles while residential and background aerosol was mainly sampled at night. At the Jungfraujoch, we observed a strong seasonality in the mixing state of BC, with a large degree of internal mixing in summer when the site is strongly influenced by PBL injections and a very high degree of external mixing in winter when the site is predominantly located in the FT. Although already assumed in some models focusing in BC aging during transport to remote region in order to agree with measurements of BC concentrations, the strong degree of BC external mixing in winter was reported in very few field studies. Whilst the mixing state was found to influence the droplet activation behaviour of BC, we showed that it is not the dominant controlling parameter. Instead, the cloud peak supersaturation (SSpeak) was the main factor driving the fraction of particles that activated to droplet both on number and mass bases. In fog, where very low supersaturations were encountered (SSpeak≈0.05 %), less than 1 % of both BC-free and BC-containing particles could activate to fog droplets; whereas for both subsets, virtually 100 % of the particle population were activated in highly-supersaturated clouds (SSpeak>0.5 %). As SSpeak decreased, the size and mixing state of BC-containing particles became increasingly important criteria modulating the SSpeak–driven droplet activation: large and thickly coated BC activated more efficiently. For example, the number fraction of particles containing a 100 nm BC core acting as cloud condensation nuclei (CCN) in fog reached 50 % with coatings of approximately 150 nm, but BC with no or very thin coating was required to form a cloud droplet at the mountain site. Comparing particles of equal size, those with thicker coatings were more likely to take up water and form a droplet at low and medium supersaturation. These results provide an experimental confirmation of the Kelvin and Raoult effects, which are combined in the κ-Köhler theory describing droplet activation. We tested the ability of this theory, combined with a simplified particle shape representation (spherical core and concentric coating) and the Zdanovski-Stokes-Robinson (ZSR) mixing rule to predict whether a BC-containing particle stays in the interstitial phase or activates to a droplet with knowledge of BC core size, coating thickness, and peak supersaturation. A successful closure between predicted and observed droplet activation of BC-containing particles was achieved both in fog and clouds. This is the first time that the relation between BC particle properties and their droplet activation in real clouds has been quantitatively studied with such detail. These results confirm that atmospheric aging indeed increases the potential of BC-containing particles to activate to cloud droplets as qualitatively expected and quantitatively predicted by theory. These findings inform model simulations how to treat BC activation to cloud droplets, as mixing state information and simplified theory can be applied in a consistent manner. This depends of course on the level of complexity of the aerosol scheme which goes all the way to particle-resolved simulations. The relation between aerosol as well as BC activated fractions (on mass basis) and SSpeak presented in this work, along with characteristic BC particle properties (BC core size and coating thickness distributions), can serve as reference data to assess whether aerosol and BC mass activated fractions obtained in models are within the correct range and for the correct reason. Similarly, the strong seasonality of BC mixing state observed in the FT at the Jungfraujoch could be a first step towards a re-assessment of the climate impact of BC. If this characteristic is verified at large spatial scales, the consideration of the longer lifetime and reduced light absorption due to a higher degree of BC external mixing than previously thought could lead to such a re-assessment. By decreasing the degree of uncertainty of model simulations, these results can contribute to a better assessment of the climate forcing of BC.
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- 2018
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32. Cloud droplet activation properties and scavenged fraction of black carbon in liquid-phase clouds at the high-alpine research station Jungfraujoch (3580 m a.s.l.)
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Motos, Ghislain, primary, Schmale, Julia, additional, Corbin, Joel C., additional, Modini, Rob. L., additional, Karlen, Nadine, additional, Bertò, Michele, additional, Baltensperger, Urs, additional, and Gysel-Beer, Martin, additional
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- 2019
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33. Droplet activation behaviour of atmospheric black carbon particles in fog as a function of their size and mixing state
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Motos, Ghislain, primary, Schmale, Julia, additional, Corbin, Joel C., additional, Zanatta, Marco, additional, Baltensperger, Urs, additional, and Gysel-Beer, Martin, additional
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- 2019
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34. Responses of the authors to Referees #3
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Motos, Ghislain, primary
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- 2019
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35. Responses of the authors to Referees #2
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Motos, Ghislain, primary
- Published
- 2019
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36. Responses of the authors to Referees #1
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Motos, Ghislain, primary
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- 2019
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37. Corrigendum: Collocated observations of cloud condensation nuclei, particle size distributions, and chemical composition
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Sub Atmospheric physics and chemistry, Marine and Atmospheric Research, Schmale, Julia, Henning, Silvia, Henzing, Bas, Keskinen, Helmi, Sellegri, Karine, Ovadnevaite, Jurgita, Bougiatioti, Aikaterini, Kalivitis, Nikos, Stavroulas, Iasonas, Jefferson, Anne, Park, Minsu, Schlag, Patrick, Kristensson, Adam, Iwamoto, Yoko, Pringle, Kirsty, Reddington, Carly, Aalto, Pasi, Äijälä, Mikko, Baltensperger, Urs, Bialek, Jakub, Birmili, Wolfram, Bukowiecki, Nicolas, Ehn, Mikael, Fjæraa, Ann Mari, Fiebig, Markus, Frank, Göran, Fröhlich, Roman, Frumau, Arnoud, Furuya, Masaki, Hammer, Emanuel, Heikkinen, Liine, Herrmann, Erik, Holzinger, Rupert, Hyono, Hiroyuki, Kanakidou, Maria, Kiendler-Scharr, Astrid, Kinouchi, Kento, Kos, Gerard, Kulmala, Markku, Mihalopoulos, Nikolaos, Motos, Ghislain, Nenes, Athanasios, O'Dowd, Colin, Paramonov, Mikhail, Petäjä, Tuukka, Picard, David, Poulain, Laurent, Prévôt, André Stephan Henry, Slowik, Jay, Sonntag, Andre, Swietlicki, Erik, Svenningsson, Birgitta, Tsurumaru, Hiroshi, Wiedensohler, Alfred, Wittbom, Cerina, Ogren, John A., Matsuki, Atsushi, Yum, Seong Soo, Myhre, Cathrine Lund, Carslaw, Ken, Stratmann, Frank, Gysel, Martin, Sub Atmospheric physics and chemistry, Marine and Atmospheric Research, Schmale, Julia, Henning, Silvia, Henzing, Bas, Keskinen, Helmi, Sellegri, Karine, Ovadnevaite, Jurgita, Bougiatioti, Aikaterini, Kalivitis, Nikos, Stavroulas, Iasonas, Jefferson, Anne, Park, Minsu, Schlag, Patrick, Kristensson, Adam, Iwamoto, Yoko, Pringle, Kirsty, Reddington, Carly, Aalto, Pasi, Äijälä, Mikko, Baltensperger, Urs, Bialek, Jakub, Birmili, Wolfram, Bukowiecki, Nicolas, Ehn, Mikael, Fjæraa, Ann Mari, Fiebig, Markus, Frank, Göran, Fröhlich, Roman, Frumau, Arnoud, Furuya, Masaki, Hammer, Emanuel, Heikkinen, Liine, Herrmann, Erik, Holzinger, Rupert, Hyono, Hiroyuki, Kanakidou, Maria, Kiendler-Scharr, Astrid, Kinouchi, Kento, Kos, Gerard, Kulmala, Markku, Mihalopoulos, Nikolaos, Motos, Ghislain, Nenes, Athanasios, O'Dowd, Colin, Paramonov, Mikhail, Petäjä, Tuukka, Picard, David, Poulain, Laurent, Prévôt, André Stephan Henry, Slowik, Jay, Sonntag, Andre, Swietlicki, Erik, Svenningsson, Birgitta, Tsurumaru, Hiroshi, Wiedensohler, Alfred, Wittbom, Cerina, Ogren, John A., Matsuki, Atsushi, Yum, Seong Soo, Myhre, Cathrine Lund, Carslaw, Ken, Stratmann, Frank, and Gysel, Martin
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- 2018
38. Data Descriptor: Collocated observations of cloud condensation nuclei, particle size distributions, and chemical composition
- Author
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Schmale, Julia, Henning, Silvia, Henzing, Bas, Keskinen, Helmi, Sellegri, Karine, Ovadnevaite, Jurgita, Bougiatioti, Aikaterini, Kalivitis, Nikos, Stavroulas, Iasonas, Jefferson, Anne, Park, Minsu, Schlag, Patrick, Kristensson, Adam, Iwamoto, Yoko, Pringle, Kirsty, Reddington, Carly, Aalto, Pasi, Äijälä, Mikko, Baltensperger, Urs, Bialek, Jakub, Birmili, Wolfram, Bukowiecki, Nicolas, Ehn, Mikael, Fjæraa, Ann Mari, Fiebig, Markus, Frank, Göran, Fröhlich, Roman, Frumau, Arnoud, Furuya, Masaki, Hammer, Emanuel, Heikkinen, Liine, Herrmann, Erik, Holzinger, Rupert, Hyono, Hiroyuki, Kanakidou, Maria, Kiendler-Scharr, Astrid, Kinouchi, Kento, Kos, Gerard P A, Kulmala, Markku, Mihalopoulos, Nikolaos, Motos, Ghislain, Nenes, Athanasios, O'Dowd, Colin, Paramonov, Mikhail, Petäjä, Tuukka, Picard, David, Poulain, Laurent, Prévôt, André Stephan Henry, Slowik, Jay, Sonntag, Andre, Swietlicki, Erik, Svenningsson, Birgitta, Tsurumaru, Hiroshi, Wiedensohler, Alfred, Wittbom, Cerina, Ogren, John A., Matsuki, Atsushi, Yum, Seong Soo, Myhre, Cathrine Lund, Carslaw, Ken, Stratmann, Frank, Gysel, Martin, Sub Atmospheric physics and chemistry, and Marine and Atmospheric Research
- Subjects
Statistics and Probability ,Statistics, Probability and Uncertainty ,Library and Information Sciences ,Information Systems ,Education ,Computer Science Applications - Abstract
Cloud condensation nuclei (CCN) number concentrations alongside with submicrometer particle number size distributions and particle chemical composition have been measured at atmospheric observatories of the Aerosols, Clouds, and Trace gases Research InfraStructure (ACTRIS) as well as other international sites over multiple years. Here, harmonized data records from 11 observatories are summarized, spanning 98,677 instrument hours for CCN data, 157,880 for particle number size distributions, and 70,817 for chemical composition data. The observatories represent nine different environments, e.g., Arctic, Atlantic, Pacific and Mediterranean maritime, boreal forest, or high alpine atmospheric conditions. This is a unique collection of aerosol particle properties most relevant for studying aerosol-cloud interactions which constitute the largest uncertainty in anthropogenic radiative forcing of the climate. The dataset is appropriate for comprehensive aerosol characterization (e.g., closure studies of CCN), model-measurement intercomparison and satellite retrieval method evaluation, among others. Data have been acquired and processed following international recommendations for quality assurance and have undergone multiple stages of quality assessment.
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- 2017
39. Supplementary material to "Cloud droplet activation properties and scavenged fraction of black carbon in liquid-phase clouds at the high-alpine research station Jungfraujoch (3580 m a.s.l.)"
- Author
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Motos, Ghislain, primary, Schmale, Julia, additional, Corbin, Joel C., additional, Modini, Robin, additional, Karlen, Nadine, additional, Bertò, Michele, additional, Baltensperger, Urs, additional, and Gysel, Martin, additional
- Published
- 2018
- Full Text
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40. Cloud droplet activation properties and scavenged fraction of black carbon in liquid-phase clouds at the high-alpine research station Jungfraujoch (3580 m a.s.l.)
- Author
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Motos, Ghislain, primary, Schmale, Julia, additional, Corbin, Joel C., additional, Modini, Robin, additional, Karlen, Nadine, additional, Bertò, Michele, additional, Baltensperger, Urs, additional, and Gysel, Martin, additional
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- 2018
- Full Text
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41. Supplementary material to "Droplet activation behaviour of atmospheric black carbon particles in fog as a function of their size and mixing state"
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Motos, Ghislain, primary, Schmale, Julia, additional, Corbin, Joel Christopher, additional, Zanatta, Marco, additional, Baltensperger, Urs, additional, and Gysel, Martin, additional
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- 2018
- Full Text
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42. Droplet activation behaviour of atmospheric black carbon particles in fog as a function of their size and mixing state
- Author
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Motos, Ghislain, primary, Schmale, Julia, additional, Corbin, Joel Christopher, additional, Zanatta, Marco, additional, Baltensperger, Urs, additional, and Gysel, Martin, additional
- Published
- 2018
- Full Text
- View/download PDF
43. Correction: Corrigendum: Collocated observations of cloud condensation nuclei, particle size distributions, and chemical composition
- Author
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Schmale, Julia, primary, Henning, Silvia, additional, Henzing, Bas, additional, Keskinen, Helmi, additional, Sellegri, Karine, additional, Ovadnevaite, Jurgita, additional, Bougiatioti, Aikaterini, additional, Kalivitis, Nikos, additional, Stavroulas, Iasonas, additional, Jefferson, Anne, additional, Park, Minsu, additional, Schlag, Patrick, additional, Kristensson, Adam, additional, Iwamoto, Yoko, additional, Pringle, Kirsty, additional, Reddington, Carly, additional, Aalto, Pasi, additional, Äijälä, Mikko, additional, Baltensperger, Urs, additional, Bialek, Jakub, additional, Birmili, Wolfram, additional, Bukowiecki, Nicolas, additional, Ehn, Mikael, additional, Fjæraa, Ann Mari, additional, Fiebig, Markus, additional, Frank, Göran, additional, Fröhlich, Roman, additional, Frumau, Arnoud, additional, Furuya, Masaki, additional, Hammer, Emanuel, additional, Heikkinen, Liine, additional, Herrmann, Erik, additional, Holzinger, Rupert, additional, Hyono, Hiroyuki, additional, Kanakidou, Maria, additional, Kiendler-Scharr, Astrid, additional, Kinouchi, Kento, additional, Kos, Gerard, additional, Kulmala, Markku, additional, Mihalopoulos, Nikolaos, additional, Motos, Ghislain, additional, Nenes, Athanasios, additional, O’Dowd, Colin, additional, Paramonov, Mikhail, additional, Petäjä, Tuukka, additional, Picard, David, additional, Poulain, Laurent, additional, Prévôt, André Stephan Henry, additional, Slowik, Jay, additional, Sonntag, Andre, additional, Swietlicki, Erik, additional, Svenningsson, Birgitta, additional, Tsurumaru, Hiroshi, additional, Wiedensohler, Alfred, additional, Wittbom, Cerina, additional, Ogren, John A., additional, Matsuki, Atsushi, additional, Yum, Seong Soo, additional, Myhre, Cathrine Lund, additional, Carslaw, Ken, additional, Stratmann, Frank, additional, and Gysel, Martin, additional
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- 2018
- Full Text
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44. Data Descriptor
- Author
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University of Helsinki, Department of Physics, Schmalel, Julia, Henning, Silvia, Henzing, Bas, Keskinen, Helmi, Sellegri, Karine, Ovadnevaite, Jurgita, Bougiatioti, Aikaterini, Kalivitis, Nikos, Stavroulas, Lasonas, Jefferson, Anne, Park, Minsu, Schlag, Patrick, Kristensson, Adam, Iwamotol, Yoko, Pringle, Kirsty, Reddington, Carly, Aalto, Pasi, Äijälä, Mikko, Baltensperger, Urs, Bialek, Jakub, Birmili, Wolfram, Bukowiecki, Nicolas, Ehn, Mikael, Fjaeraa, Ann Mari, Fiebig, Markus, Frank, Goran, Frohlich, Roman, Frumau, Arnoud, Furuyals, Masaki, Hammerl', Emanuel, Heikkinen, Liine, Herrmann, Erik, Holzinger, Rupert, Hyonols, Hiroyuki, Kanakidoug, Maria, Kiendler-Scharr, Astrid, Kinouchi, Kento, Kos, Gerard, Kulmala, Markku, Mihalopoulos, Nikolaos, Motos, Ghislain, Nenes, Athanasios, O'Dowd, Colin, Paramonov, Mikhail, Petäjä, Tuukka, Picard, David, Poulain, Laurent, Prevot, Andre Stephan Henry, Slowik, Jay, Sonntag, Andre, Swietlicki, Erik, Svenningsson, Birgitta, Tsurumaru, Hiroshi, Wiedensohler, Alfred, Wittbom, Cerina, Ogren, John A., Matsuki, Atsushi, Yum, Seong Soo, Myhre, Cathrine Lund, Carslaw, Ken, Stratmann, Frank, Gysel, Martin, University of Helsinki, Department of Physics, Schmalel, Julia, Henning, Silvia, Henzing, Bas, Keskinen, Helmi, Sellegri, Karine, Ovadnevaite, Jurgita, Bougiatioti, Aikaterini, Kalivitis, Nikos, Stavroulas, Lasonas, Jefferson, Anne, Park, Minsu, Schlag, Patrick, Kristensson, Adam, Iwamotol, Yoko, Pringle, Kirsty, Reddington, Carly, Aalto, Pasi, Äijälä, Mikko, Baltensperger, Urs, Bialek, Jakub, Birmili, Wolfram, Bukowiecki, Nicolas, Ehn, Mikael, Fjaeraa, Ann Mari, Fiebig, Markus, Frank, Goran, Frohlich, Roman, Frumau, Arnoud, Furuyals, Masaki, Hammerl', Emanuel, Heikkinen, Liine, Herrmann, Erik, Holzinger, Rupert, Hyonols, Hiroyuki, Kanakidoug, Maria, Kiendler-Scharr, Astrid, Kinouchi, Kento, Kos, Gerard, Kulmala, Markku, Mihalopoulos, Nikolaos, Motos, Ghislain, Nenes, Athanasios, O'Dowd, Colin, Paramonov, Mikhail, Petäjä, Tuukka, Picard, David, Poulain, Laurent, Prevot, Andre Stephan Henry, Slowik, Jay, Sonntag, Andre, Swietlicki, Erik, Svenningsson, Birgitta, Tsurumaru, Hiroshi, Wiedensohler, Alfred, Wittbom, Cerina, Ogren, John A., Matsuki, Atsushi, Yum, Seong Soo, Myhre, Cathrine Lund, Carslaw, Ken, Stratmann, Frank, and Gysel, Martin
- Abstract
Cloud condensation nuclei (CCN) number concentrations alongside with submicrometer particle number size distributions and particle chemical composition have been measured at atmospheric observatories of the Aerosols, Clouds, and Trace gases Research InfraStructure (ACTRIS) as well as other international sites over multiple years. Here, harmonized data records from 11 observatories are summarized, spanning 98,677 instrument hours for CCN data, 157,880 for particle number size distributions, and 70,817 for chemical composition data. The observatories represent nine different environments, e.g., Arctic, Atlantic, Pacific and Mediterranean maritime, boreal forest, or high alpine atmospheric conditions. This is a unique collection of aerosol particle properties most relevant for studying aerosol-cloud interactions which constitute the largest uncertainty in anthropogenic radiative forcing of the climate. The dataset is appropriate for comprehensive aerosol characterization (e.g., closure studies of CCN), model-measurement intercomparison and satellite retrieval method evaluation, among others. Data have been acquired and processed following international recommendations for quality assurance and have undergone multiple stages of quality assessment.
- Published
- 2017
45. Data Descriptor: Collocated observations of cloud condensation nuclei, particle size distributions, and chemical composition
- Author
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Sub Atmospheric physics and chemistry, Marine and Atmospheric Research, Schmale, Julia, Henning, Silvia, Henzing, Bas, Keskinen, Helmi, Sellegri, Karine, Ovadnevaite, Jurgita, Bougiatioti, Aikaterini, Kalivitis, Nikos, Stavroulas, Iasonas, Jefferson, Anne, Park, Minsu, Schlag, Patrick, Kristensson, Adam, Iwamoto, Yoko, Pringle, Kirsty, Reddington, Carly, Aalto, Pasi, Äijälä, Mikko, Baltensperger, Urs, Bialek, Jakub, Birmili, Wolfram, Bukowiecki, Nicolas, Ehn, Mikael, Fjæraa, Ann Mari, Fiebig, Markus, Frank, Göran, Fröhlich, Roman, Frumau, Arnoud, Furuya, Masaki, Hammer, Emanuel, Heikkinen, Liine, Herrmann, Erik, Holzinger, Rupert, Hyono, Hiroyuki, Kanakidou, Maria, Kiendler-Scharr, Astrid, Kinouchi, Kento, Kos, Gerard P A, Kulmala, Markku, Mihalopoulos, Nikolaos, Motos, Ghislain, Nenes, Athanasios, O'Dowd, Colin, Paramonov, Mikhail, Petäjä, Tuukka, Picard, David, Poulain, Laurent, Prévôt, André Stephan Henry, Slowik, Jay, Sonntag, Andre, Swietlicki, Erik, Svenningsson, Birgitta, Tsurumaru, Hiroshi, Wiedensohler, Alfred, Wittbom, Cerina, Ogren, John A., Matsuki, Atsushi, Yum, Seong Soo, Myhre, Cathrine Lund, Carslaw, Ken, Stratmann, Frank, Gysel, Martin, Sub Atmospheric physics and chemistry, Marine and Atmospheric Research, Schmale, Julia, Henning, Silvia, Henzing, Bas, Keskinen, Helmi, Sellegri, Karine, Ovadnevaite, Jurgita, Bougiatioti, Aikaterini, Kalivitis, Nikos, Stavroulas, Iasonas, Jefferson, Anne, Park, Minsu, Schlag, Patrick, Kristensson, Adam, Iwamoto, Yoko, Pringle, Kirsty, Reddington, Carly, Aalto, Pasi, Äijälä, Mikko, Baltensperger, Urs, Bialek, Jakub, Birmili, Wolfram, Bukowiecki, Nicolas, Ehn, Mikael, Fjæraa, Ann Mari, Fiebig, Markus, Frank, Göran, Fröhlich, Roman, Frumau, Arnoud, Furuya, Masaki, Hammer, Emanuel, Heikkinen, Liine, Herrmann, Erik, Holzinger, Rupert, Hyono, Hiroyuki, Kanakidou, Maria, Kiendler-Scharr, Astrid, Kinouchi, Kento, Kos, Gerard P A, Kulmala, Markku, Mihalopoulos, Nikolaos, Motos, Ghislain, Nenes, Athanasios, O'Dowd, Colin, Paramonov, Mikhail, Petäjä, Tuukka, Picard, David, Poulain, Laurent, Prévôt, André Stephan Henry, Slowik, Jay, Sonntag, Andre, Swietlicki, Erik, Svenningsson, Birgitta, Tsurumaru, Hiroshi, Wiedensohler, Alfred, Wittbom, Cerina, Ogren, John A., Matsuki, Atsushi, Yum, Seong Soo, Myhre, Cathrine Lund, Carslaw, Ken, Stratmann, Frank, and Gysel, Martin
- Published
- 2017
46. Collocated observations of cloud condensation nuclei, particle size distributions, and chemical composition
- Author
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Schmale, Julia, primary, Henning, Silvia, additional, Henzing, Bas, additional, Keskinen, Helmi, additional, Sellegri, Karine, additional, Ovadnevaite, Jurgita, additional, Bougiatioti, Aikaterini, additional, Kalivitis, Nikos, additional, Stavroulas, Iasonas, additional, Jefferson, Anne, additional, Park, Minsu, additional, Schlag, Patrick, additional, Kristensson, Adam, additional, Iwamoto, Yoko, additional, Pringle, Kirsty, additional, Reddington, Carly, additional, Aalto, Pasi, additional, Äijälä, Mikko, additional, Baltensperger, Urs, additional, Bialek, Jakub, additional, Birmili, Wolfram, additional, Bukowiecki, Nicolas, additional, Ehn, Mikael, additional, Fjæraa, Ann Mari, additional, Fiebig, Markus, additional, Frank, Göran, additional, Fröhlich, Roman, additional, Frumau, Arnoud, additional, Furuya, Masaki, additional, Hammer, Emanuel, additional, Heikkinen, Liine, additional, Herrmann, Erik, additional, Holzinger, Rupert, additional, Hyono, Hiroyuki, additional, Kanakidou, Maria, additional, Kiendler-Scharr, Astrid, additional, Kinouchi, Kento, additional, Kos, Gerard, additional, Kulmala, Markku, additional, Mihalopoulos, Nikolaos, additional, Motos, Ghislain, additional, Nenes, Athanasios, additional, O’Dowd, Colin, additional, Paramonov, Mikhail, additional, Petäjä, Tuukka, additional, Picard, David, additional, Poulain, Laurent, additional, Prévôt, André Stephan Henry, additional, Slowik, Jay, additional, Sonntag, Andre, additional, Swietlicki, Erik, additional, Svenningsson, Birgitta, additional, Tsurumaru, Hiroshi, additional, Wiedensohler, Alfred, additional, Wittbom, Cerina, additional, Ogren, John A., additional, Matsuki, Atsushi, additional, Yum, Seong Soo, additional, Myhre, Cathrine Lund, additional, Carslaw, Ken, additional, Stratmann, Frank, additional, and Gysel, Martin, additional
- Published
- 2017
- Full Text
- View/download PDF
47. Correction to “Expiratory Aerosol pH: The Overlooked Driver of Airborne Virus Inactivation”
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Luo, Beiping, Schaub, Aline, Glas, Irina, Klein, Liviana K., David, Shannon C., Bluvshtein, Nir, Violaki, Kalliopi, Motos, Ghislain, Pohl, Marie O., Hugentobler, Walter, Nenes, Athanasios, Krieger, Ulrich K., Stertz, Silke, Peter, Thomas, and Kohn, Tamar
- Published
- 2024
- Full Text
- View/download PDF
48. Cloud droplet activation properties and scavenged fraction of black carbon in liquid-phase clouds at the high-alpine research station Jungfraujoch (3580 m a.s.l.).
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Motos, Ghislain, Schmale, Julia, Corbin, Joel C., Modini, Robin, Karlen, Nadine, Bertò, Michele, Baltensperger, Urs, and Gysel, Martin
- Abstract
Abstract. Liquid clouds form by condensation of water vapour on aerosol particles in the atmosphere. Even black carbon (BC) particles, which are known to be little hygroscopic, have been shown to readily form cloud droplets once they have acquired water-soluble coatings by atmospheric aging processes. Accurately simulating the life cycle of BC in the atmosphere, which strongly depends on the wet removal following droplet activation, has recently been identified as a key element for accurate prediction of the climate forcing of BC. Here, to assess BC activation in detail, we performed in-situ measurements during cloud events at the Jungfraujoch high mountain station in Switzerland in summer 2010 and 2016. Cloud droplet residual and interstitial (unactivated) particles as well as the total aerosol were selectively sampled using different inlets, followed by their physical characterization using scanning mobility particle sizers (SMPSs), multi-angle absorption photometers (MAAPs) and a single particle soot photometer (SP2). By calculating cloud droplet activated fractions with these measurements, we determined the roles of various parameters on the droplet activation of BC. The half-rise threshold diameter for droplet activation (D
half cloud ), i.e. the size above which aerosol particles formed cloud droplets, was inferred from the aerosol size distributions measured behind the different inlets. The effective peak supersaturation (SSpeak ) of a cloud was derived from Dhalf cloud by comparing it to the supersaturation dependence of the threshold diameter for cloud condensation nuclei (CCN) activation measured by a CCN counter (CCNC). In this way we showed that the mass-based scavenged fraction of BC strongly correlates with that of the entire aerosol population because SSpeak modulates the critical size for activation of either particle type. Fifty percent of the BC-containing particles with a BC mass equivalent core diameter of 90nm were activated in clouds with SSpeak ≈0.21%, increasing up to ~80% activated fraction at SSpeak ≈0.5%. On a single particle basis, BC activation at a certain SSpeak is controlled by the BC core size and internally mixed coating which increases overall particle size and hygroscopicity. However, the resulting effect on the population averaged and on the size integrated BC scavenged fraction by mass is small for two reasons: first, acquisition of coatings only matters for small cores in clouds with low SSpeak and, second, variations in BC core size distribution and mean coating thickness are limited in the lower free troposphere in summer. [ABSTRACT FROM AUTHOR]- Published
- 2018
- Full Text
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49. Droplet activation behaviour of atmospheric black carbon particles in fog as a function of their size and mixing state.
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Motos, Ghislain, Schmale, Julia, Corbin, Joel Christopher, Zanatta, Marco, Baltensperger, Urs, and Gysel, Martin
- Abstract
Among the variety of particle types present in the atmosphere, black carbon (BC), emitted by combustion processes, is uniquely associated with harmful effects to the human body and substantial radiative forcing of the Earth. Pure BC is known to be non-hygroscopic, but its ability to acquire a coating of hygroscopic organic and inorganic material leads to increased hygroscopicity as well as diameter, facilitating droplet activation. This affects BC radiative forcing through aerosol-cloud interactions (aci) and BC life cycle. To gain insights into these processes, we performed a field campaign in winter 2015/16 in a residential area of Zurich which aimed at distinguishing different particle mixing states regarding hygroscopic properties in the cloud condensation nuclei (CCN)-activated fraction spectrum of urban aerosol and establishing relations between the mixing state of BC and its activation to form droplets in fog. This was achieved by operating a CCN counter (CCNC), a scanning mobility particle sizer (SMPS), a single particle soot photometer (SP2) and an aerosol chemical speciation monitor (ACSM) behind a combination of a total- and an interstitial-aerosol inlet. Our results indicate that, depending on the time of the day, we sampled both heavily aged internally mixed BC from background air advected to the site and freshly emitted externally mixed BC from local or regional traffic sources. During rush hours in the morning of weekdays, we found clear evidence that the enhanced traffic emissions caused peaks in the number fraction of externally mixed BC particles which do not act as CCN within the CCNC. The mixing state of BC particles was also found to play a key role in their ability to form fog droplets. The very low effective peak supersaturations (SS
peak ) occurring in fog (between approximately 0.03 and 0.06 % during this campaign) restrict droplet activation to a minor fraction of the aerosol burden (around 0.5 to 1 % of total particle number concentration between 20 and 593 nm) leading to very selective criteria on diameter and chemical composition. We show that bare BC cores are unable to activate to fog droplets at such low SSpeak , while BC particles surrounded by thick coating have a very similar activation behavior as BC-free particles. The threshold coating thickness required for activation was shown to decrease with increasing BC core size. Using simplified κ-Köhler theory combined with the ZSR mixing rule assuming spherical core-shell particle geometry constrained with single particle measurements of respective volumes, we found good agreement between the predicted and the directly observed size and mixing state resolved droplet activation behaviour of BC-containing particles in fog. This successful closure demonstrates the predictability of their droplet activation in fog with a simplified theoretical model only requiring size and mixing state information, which can also be applied in a consistent manner in model simulations. [ABSTRACT FROM AUTHOR]- Published
- 2018
- Full Text
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50. Stability of influenza A virus in droplets and aerosols is heightened by the presence of commensal respiratory bacteria.
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David, Shannon C., Schaub, Aline, Terrettaz, Céline, Motos, Ghislain, Costa, Laura J., Nolan, Daniel S., Augugliaro, Marta, Wynn, Htet Kyi, Glas, Irina, Pohl, Marie O., Klein, Liviana K., Luo, Beiping, Bluvshtein, Nir, Violaki, Kalliopi, Hugentobler, Walter, Krieger, Ulrich K., Peter, Thomas, Stertz, Silke, Nenes, Athanasios, and Kohn, Tamar
- Subjects
- *
INFLUENZA viruses , *INFLUENZA A virus , *CORONAVIRUSES , *AEROSOLS , *COVID-19 , *ARTIFICIAL saliva , *RESPIRATORY organs - Abstract
Aerosol transmission remains a major challenge for control of respiratory viruses, particularly those causing recurrent epidemics, like influenza A virus (IAV). These viruses are rarely expelled alone, but instead are embedded in a consortium of microorganisms that populate the respiratory tract. The impact of microbial communities and inter-pathogen interactions upon stability of transmitted viruses is well-characterized for enteric pathogens, but is under-studied in the respiratory niche. Here, we assessed whether the presence of five different species of commensal respiratory bacteria could influence the persistence of IAV within phosphate-buffered saline and artificial saliva droplets deposited on surfaces at typical indoor air humidity, and within airborne aerosol particles. In droplets, presence of individual species or a mixed bacterial community resulted in 10- to 100-fold more infectious IAV remaining after 1 h, due to bacterial-mediated flattening of drying droplets and early efflorescence. Even when no efflorescence occurred at high humidity or the bacteria-induced changes in droplet morphology were abolished by aerosolization instead of deposition on a well plate, the bacteria remained protective. Staphylococcus aureus and Streptococcus pneumoniae were the most stabilizing compared to other commensals at equivalent density, indicating the composition of an individual’s respiratory microbiota is a previously unconsidered factor influencing expelled virus persistence. IMPORTANCE It is known that respiratory infections such as coronavirus disease 2019 and influenza are transmitted by release of virus-containing aerosols and larger droplets by an infected host. The survival time of viruses expelled into the environment can vary depending on temperature, room air humidity, UV exposure, air composition, and suspending fluid. However, few studies consider the fact that respiratory viruses are not alone in the respiratory tract—we are constantly colonized by a plethora of bacteria in our noses, mouth, and lower respiratory system. In the gut, enteric viruses are known to be stabilized against inactivation and environmental decay by gut bacteria. Despite the presence of a similarly complex bacterial microbiota in the respiratory tract, few studies have investigated whether viral stabilization could occur in this niche. Here, we address this question by investigating influenza A virus stabilization by a range of commensal bacteria in systems representing respiratory aerosols and droplets. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
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