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  • 1
    Keywords: Forschungsbericht ; Luftverschmutzung ; Luftqualität ; Feinstaub ; Wissenschaftstransfer ; Citizen Science
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (142 Seiten, 13,47 MB) , Illustrationen, Diagramme, Karten
    Language: German
    Note: Förderkennzeichen BMBF 01IO1726 , Verbundnummer 01180735 , Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden
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  • 2
    Publication Date: 2023-07-07
    Description: The project MarParCloud (Marine biological production, organic aerosol Particles and marine Clouds: a process chain) aims to improve our understanding of the genesis, modification and impact of marine organic matter (OM) from its biological production, to its export to marine aerosol particles and, finally, to its ability to act as ice-nucleating particles (INPs) and cloud condensation nuclei (CCN). A field campaign at the Cape Verde Atmospheric Observatory (CVAO) in the tropics in September–October 2017 formed the core of this project that was jointly performed with the project MARSU (MARine atmospheric Science Unravelled). A suite of chemical, physical, biological and meteorological techniques was applied, and comprehensive measurements of bulk water, the sea surface microlayer (SML), cloud water and ambient aerosol particles collected at a ground-based and a mountain station took place. Key variables comprised the chemical characterization of the atmospherically relevant OM components in the ocean and the atmosphere as well as measurements of INPs and CCN. Moreover, bacterial cell counts, mercury species and trace gases were analyzed. To interpret the results, the measurements were accompanied by various auxiliary parameters such as air mass back-trajectory analysis, vertical atmospheric profile analysis, cloud observations and pigment measurements in seawater. Additional modeling studies supported the experimental analysis. During the campaign, the CVAO exhibited marine air masses with low and partly moderate dust influences. The marine boundary layer was well mixed as indicated by an almost uniform particle number size distribution within the boundary layer. Lipid biomarkers were present in the aerosol particles in typical concentrations of marine background conditions. Accumulation- and coarse-mode particles served as CCN and were efficiently transferred to the cloud water. The ascent of ocean-derived compounds, such as sea salt and sugar-like compounds, to the cloud level, as derived from chemical analysis and atmospheric transfer modeling results, denotes an influence of marine emissions on cloud formation. Organic nitrogen compounds (free amino acids) were enriched by several orders of magnitude in submicron aerosol particles and in cloud water compared to seawater. However, INP measurements also indicated a significant contribution of other non-marine sources to the local INP concentration, as (biologically active) INPs were mainly present in supermicron aerosol particles that are not suggested to undergo strong enrichment during ocean–atmosphere transfer. In addition, the number of CCN at the supersaturation of 0.30 % was about 2.5 times higher during dust periods compared to marine periods. Lipids, sugar-like compounds, UV-absorbing (UV: ultraviolet) humic-like substances and low-molecular-weight neutral components were important organic compounds in the seawater, and highly surface-active lipids were enriched within the SML. The selective enrichment of specific organic compounds in the SML needs to be studied in further detail and implemented in an OM source function for emission modeling to better understand transfer patterns, the mechanisms of marine OM transformation in the atmosphere and the role of additional sources. In summary, when looking at particulate mass, we see oceanic compounds transferred to the atmospheric aerosol and to the cloud level, while from a perspective of particle number concentrations, sea spray aerosol (i.e., primary marine aerosol) contributions to both CCN and INPs are rather limited.
    Type: Article , PeerReviewed
    Format: text
    Format: text
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  • 3
    Publication Date: 2020-06-22
    Description: The project MarParCloud (Marine biological production, organic aerosol Particles and marine Clouds: a process chain) aims to improve our understanding of the genesis, modification and impact of marine organic matter (OM) from its biological production, to its export to marine aerosol particles and, finally, to its ability to act as ice-nucleating particles (INPs) and cloud condensation nuclei (CCN). A field campaign at the Cape Verde Atmospheric Observatory (CVAO) in the tropics in September–October 2017 formed the core of this project that was jointly performed with the project MARSU (MARine atmospheric Science Unravelled). A suite of chemical, physical, biological and meteorological techniques was applied, and comprehensive measurements of bulk water, the sea surface microlayer (SML), cloud water and ambient aerosol particles collected at a ground-based and a mountain station took place. Key variables comprised the chemical characterization of the atmospherically relevant OM components in the ocean and the atmosphere as well as measurements of INPs and CCN. Moreover, bacterial cell counts, mercury species and trace gases were analyzed. To interpret the results, the measurements were accompanied by various auxiliary parameters such as air mass back-trajectory analysis, vertical atmospheric profile analysis, cloud observations and pigment measurements in seawater. Additional modeling studies supported the experimental analysis. During the campaign, the CVAO exhibited marine air masses with low and partly moderate dust influences. The marine boundary layer was well mixed as indicated by an almost uniform particle number size distribution within the boundary layer. Lipid biomarkers were present in the aerosol particles in typical concentrations of marine background conditions. Accumulation- and coarse-mode particles served as CCN and were efficiently transferred to the cloud water. The ascent of ocean-derived compounds, such as sea salt and sugar-like compounds, to the cloud level, as derived from chemical analysis and atmospheric transfer modeling results, denotes an influence of marine emissions on cloud formation. Organic nitrogen compounds (free amino acids) were enriched by several orders of magnitude in submicron aerosol particles and in cloud water compared to seawater. However, INP measurements also indicated a significant contribution of other non-marine sources to the local INP concentration, as (biologically active) INPs were mainly present in supermicron aerosol particles that are not suggested to undergo strong enrichment during ocean–atmosphere transfer. In addition, the number of CCN at the supersaturation of 0.30 % was about 2.5 times higher during dust periods compared to marine periods. Lipids, sugar-like compounds, UV-absorbing (UV: ultraviolet) humic-like substances and low-molecular-weight neutral components were important organic compounds in the seawater, and highly surface-active lipids were enriched within the SML. The selective enrichment of specific organic compounds in the SML needs to be studied in further detail and implemented in an OM source function for emission modeling to better understand transfer patterns, the mechanisms of marine OM transformation in the atmosphere and the role of additional sources. In summary, when looking at particulate mass, we see oceanic compounds transferred to the atmospheric aerosol and to the cloud level, while from a perspective of particle number concentrations, sea spray aerosol (i.e., primary marine aerosol) contributions to both CCN and INPs are rather limited.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 4
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    PANGAEA
    In:  Supplement to: Gong, Xianda; Wex, Heike; Voigtländer, Jens; Fomba, Khanneh Wadinga; Weinhold, Kay; van Pinxteren, Manuela; Henning, Silvia; Müller, Thomas; Herrmann, Hartmut; Stratmann, Frank (2020): Characterization of aerosol particles at Cabo Verde close to sea level and at the cloud level - Part 1: Particle number size distribution, cloud condensation nuclei and their origins. Atmospheric Chemistry and Physics, 20(3), 1431-1449, https://doi.org/10.5194/acp-20-1431-2020
    Publication Date: 2023-01-30
    Description: In the framework of the MarParCloud (Marine biological production, organic aerosol particles and marine clouds: a Process Chain) project, measurements were carried out on the islands of Cape Verde, to investigate the abundance, properties, and sources of aerosol particles in general and cloud condensation nuclei (CCN) in particular, both close to sea and cloud level heights. A thorough comparison of particle number concentration (PNC), particle number size distribution (PNSD) and CCN number concentration (NCCN) at the Cape Verde Atmospheric Observatory (CVAO, sea level station) and Monte Verde (MV, cloud level station) reveals that during times without clouds the aerosol at CVAO and MV are similar and the boundary layer is generally well mixed. Therefore, data obtained at CVAO can be used to describe the aerosol particles at cloud level. Cloud events were observed at MV during roughly 58% of the time and during these, a large fraction of particles were activated to cloud droplets. A trimodal parameterization method was deployed to characterize PNC at CVAO. Based on number concentrations in different aerosol modes, four well separable types of PNSDs were found, which were named the marine type, mixture type, dust type1 and dust type2. Aerosol particles differ depending on their origins. When the air masses came from the Atlantic Ocean, sea spray can be assumed to be one source for particles, besides for new particle formation. For these air masses, PNSDs featured the lowest number concentration in Aitken, accumulation and coarse mode. Particle number concentrations for the sea spray aerosol (SSA, i.e., the coarse mode for these air masses) accounted for about 3.7% of NCCN,0.30% (CCN number concentration at 0.30% supersaturation) and about 1.1% to 4.4% of Ntotal (total particle number concentration). When the air masses came from the Saharan desert, we observed enhanced Aitken, accumulation and coarse mode particle number concentrations and overall increased NCCN. NCCN,0.30% during the strongest observed dust periods is about 2.5 times higher than that during marine periods. However, the particle hygroscopicity parameter κ for these two most different periods shows no significant difference and is generally similar, independent of air mass. Overall, κ averaged 0.28, suggesting the presence of organic material in particles. This is consistent with previous model work and field measurement. There is a slight increase of κ with increasing particle size, indicating the addition of soluble, likely inorganic material during cloud processing.
    Keywords: Cape Verde; cloud condensation nuclei; dust; Marine biological production, organic aerosol particles and marine clouds: a Process Chain; MarParCloud; particle number size distribution; sea spray aerosol
    Type: Dataset
    Format: application/zip, 16 datasets
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  • 5
    Publication Date: 2023-10-28
    Keywords: AC3; ALTITUDE; Arctic Amplification; Balloon_20180321_1737_1937; BELUGA; DATE/TIME; Hot-wire 55UUP with MiniCTA, Dantec; PAMARCMIP_2018_terrestrial; Pressure, at given altitude; Pressure sensor AMS 5812 0150-B, AMSYS; Tethered balloon system BELUGA; Wind velocity, horizontal
    Type: Dataset
    Format: text/tab-separated-values, 1048852 data points
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  • 6
    Publication Date: 2023-10-28
    Keywords: AC3; ALTITUDE; Arctic Amplification; Balloon_20180322_1542_1652; BELUGA; DATE/TIME; Hot-wire 55UUP with MiniCTA, Dantec; PAMARCMIP_2018_terrestrial; Pressure, at given altitude; Pressure sensor AMS 5812 0150-B, AMSYS; Tethered balloon system BELUGA; Wind velocity, horizontal
    Type: Dataset
    Format: text/tab-separated-values, 3006718 data points
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  • 7
    Publication Date: 2023-10-28
    Keywords: AC3; ALTITUDE; Arctic Amplification; Balloon_20180330_0258_0726; BELUGA; DATE/TIME; Hot-wire 55UUP with MiniCTA, Dantec; PAMARCMIP_2018_terrestrial; Pressure, at given altitude; Pressure sensor AMS 5812 0150-B, AMSYS; Tethered balloon system BELUGA; Wind velocity, horizontal
    Type: Dataset
    Format: text/tab-separated-values, 1182720 data points
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  • 8
    Publication Date: 2023-10-28
    Keywords: AC3; ALTITUDE; Arctic Amplification; Balloon_20180328_1123_1508; BELUGA; DATE/TIME; Hot-wire 55UUP with MiniCTA, Dantec; PAMARCMIP_2018_terrestrial; Pressure, at given altitude; Pressure sensor AMS 5812 0150-B, AMSYS; Tethered balloon system BELUGA; Wind velocity, horizontal
    Type: Dataset
    Format: text/tab-separated-values, 1721327 data points
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  • 9
    Publication Date: 2023-10-28
    Keywords: AC3; ALTITUDE; Arctic Amplification; Balloon_20180403_1657_2044; BELUGA; DATE/TIME; Hot-wire 55UUP with MiniCTA, Dantec; PAMARCMIP_2018_terrestrial; Pressure, at given altitude; Pressure sensor AMS 5812 0150-B, AMSYS; Tethered balloon system BELUGA; Wind velocity, horizontal
    Type: Dataset
    Format: text/tab-separated-values, 1321966 data points
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  • 10
    Publication Date: 2023-10-28
    Keywords: AC3; ALTITUDE; Arctic Amplification; Balloon_20180325_1313_1502; BELUGA; DATE/TIME; Hot-wire 55UUP with MiniCTA, Dantec; PAMARCMIP_2018_terrestrial; Pressure, at given altitude; Pressure sensor AMS 5812 0150-B, AMSYS; Tethered balloon system BELUGA; Wind velocity, horizontal
    Type: Dataset
    Format: text/tab-separated-values, 2846623 data points
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