Bulk size-resolved chemical composition and mass concentration of non-refractory submicron aerosols measured in the Swiss container during MOSAiC 2019/2020
This dataset contains the bulk size-resolved chemical composition and mass concentration of non-refractory submicron aerosols (NR-PM1) measured during the MOSAiC expedition from October 2019 to July 2020. These include the mass concentrations of sulfate (SO42-), nitrate (NO3-), ammonium (NH4+), chlo...
Main Authors: | , , , , , , , , , |
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Format: | Dataset |
Language: | English |
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PANGAEA
2023
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Subjects: | |
Online Access: | https://doi.pangaea.de/10.1594/PANGAEA.961009 https://doi.org/10.1594/PANGAEA.961009 |
id |
ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.961009 |
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record_format |
openpolar |
institution |
Open Polar |
collection |
PANGAEA - Data Publisher for Earth & Environmental Science |
op_collection_id |
ftpangaea |
language |
English |
topic |
aerosol Aerosol chemistry Aerosol Mass Spectrometer Ammonium AMS Arctic aerosol Arctic Ocean Chloride DATE/TIME Event label Flag pollution High Resolution Time-of-Flight Aerosol Mass Spectrometer (HR-ToF-AMS) Aerodyne LATITUDE LONGITUDE MOSAiC MOSAiC_ATMOS MOSAiC20192020 Multidisciplinary drifting Observatory for the Study of Arctic Climate Nitrate organic aerosols Organics Polarstern PS122/1 PS122/1_1-81 PS122/3 PS122/3_28-26 PS122/4 PS122/4_43-20 Quality flag Sulfate sulfate aerosol |
spellingShingle |
aerosol Aerosol chemistry Aerosol Mass Spectrometer Ammonium AMS Arctic aerosol Arctic Ocean Chloride DATE/TIME Event label Flag pollution High Resolution Time-of-Flight Aerosol Mass Spectrometer (HR-ToF-AMS) Aerodyne LATITUDE LONGITUDE MOSAiC MOSAiC_ATMOS MOSAiC20192020 Multidisciplinary drifting Observatory for the Study of Arctic Climate Nitrate organic aerosols Organics Polarstern PS122/1 PS122/1_1-81 PS122/3 PS122/3_28-26 PS122/4 PS122/4_43-20 Quality flag Sulfate sulfate aerosol Heutte, Benjamin Dada, Lubna Angot, Hélène Daellenbach, Kaspar R El Haddad, Imad Beck, Ivo Quéléver, Lauriane Jokinen, Tuija Laurila, Tiia Schmale, Julia Bulk size-resolved chemical composition and mass concentration of non-refractory submicron aerosols measured in the Swiss container during MOSAiC 2019/2020 |
topic_facet |
aerosol Aerosol chemistry Aerosol Mass Spectrometer Ammonium AMS Arctic aerosol Arctic Ocean Chloride DATE/TIME Event label Flag pollution High Resolution Time-of-Flight Aerosol Mass Spectrometer (HR-ToF-AMS) Aerodyne LATITUDE LONGITUDE MOSAiC MOSAiC_ATMOS MOSAiC20192020 Multidisciplinary drifting Observatory for the Study of Arctic Climate Nitrate organic aerosols Organics Polarstern PS122/1 PS122/1_1-81 PS122/3 PS122/3_28-26 PS122/4 PS122/4_43-20 Quality flag Sulfate sulfate aerosol |
description |
This dataset contains the bulk size-resolved chemical composition and mass concentration of non-refractory submicron aerosols (NR-PM1) measured during the MOSAiC expedition from October 2019 to July 2020. These include the mass concentrations of sulfate (SO42-), nitrate (NO3-), ammonium (NH4+), chloride (Chl), and organics (Org). The measurements were performed in the Swiss container on the D-deck of Research Vessel Polarstern, using a commercial High-Resolution Time-of-Flight Aerosol Mass Spectrometer (HR-ToF-AMS, Aerodyne Research, Inc.). One can refer to existing literature (e.g., DeCarlo et al. (2006) and Canagaratna et al. (2007)) for detailed description, functioning principles and field deployment procedures of the AMS. The instrument was located behind an automated valve, which switched hourly between a total and an interstitial air inlet, with upper cutoff sizes of 40 and 1 µm respectively (Heutte et al. (Submitted), Beck et al. (2022), and Dada et al. (2022)). Ambient air was hence sampled alternately every hour from the total and interstitial inlets into an aerodynamic lens with a 1 µm critical orifice and a flow of 0.07 L/min. All data were processed using SQUIRREL v1.65B and PIKA v1.25B within the IGOR Pro v9.00 software. This was done separately for the three distinct periods of available measurements, October to December 2019, March to May, and June to July 2020, as the instrument was each time in a different state (after long down times related to turbo pump failures). Regular on-site calibrations using monodisperse, number concentration-defined, ammonium nitrate (NH4NO3) and ammonium sulfate ((NH4)2SO4) particles were performed to determine the ionization efficiency of NO3- and relative ionization efficiencies of NH4+ and SO42- (Jimenez et al. (2003) and Allan et al. (2003)). An airbeam correction factor was applied to the dataset, along with a time and composition-dependent collection efficiency (CDCE, Middlebrook et al. (2012)). Several times per month, zero measurements were performed using ... |
format |
Dataset |
author |
Heutte, Benjamin Dada, Lubna Angot, Hélène Daellenbach, Kaspar R El Haddad, Imad Beck, Ivo Quéléver, Lauriane Jokinen, Tuija Laurila, Tiia Schmale, Julia |
author_facet |
Heutte, Benjamin Dada, Lubna Angot, Hélène Daellenbach, Kaspar R El Haddad, Imad Beck, Ivo Quéléver, Lauriane Jokinen, Tuija Laurila, Tiia Schmale, Julia |
author_sort |
Heutte, Benjamin |
title |
Bulk size-resolved chemical composition and mass concentration of non-refractory submicron aerosols measured in the Swiss container during MOSAiC 2019/2020 |
title_short |
Bulk size-resolved chemical composition and mass concentration of non-refractory submicron aerosols measured in the Swiss container during MOSAiC 2019/2020 |
title_full |
Bulk size-resolved chemical composition and mass concentration of non-refractory submicron aerosols measured in the Swiss container during MOSAiC 2019/2020 |
title_fullStr |
Bulk size-resolved chemical composition and mass concentration of non-refractory submicron aerosols measured in the Swiss container during MOSAiC 2019/2020 |
title_full_unstemmed |
Bulk size-resolved chemical composition and mass concentration of non-refractory submicron aerosols measured in the Swiss container during MOSAiC 2019/2020 |
title_sort |
bulk size-resolved chemical composition and mass concentration of non-refractory submicron aerosols measured in the swiss container during mosaic 2019/2020 |
publisher |
PANGAEA |
publishDate |
2023 |
url |
https://doi.pangaea.de/10.1594/PANGAEA.961009 https://doi.org/10.1594/PANGAEA.961009 |
op_coverage |
MEDIAN LATITUDE: 84.604583 * MEDIAN LONGITUDE: 52.764158 * SOUTH-BOUND LATITUDE: 78.130183 * WEST-BOUND LONGITUDE: 2.377904 * NORTH-BOUND LATITUDE: 88.111474 * EAST-BOUND LONGITUDE: 136.965269 * DATE/TIME START: 2019-10-01T00:03:38 * DATE/TIME END: 2020-07-10T06:14:35 * MINIMUM ELEVATION: -4412.4 m * MAXIMUM ELEVATION: -214.0 m |
long_lat |
ENVELOPE(2.377904,136.965269,88.111474,78.130183) |
genre |
Arctic Arctic Ocean |
genre_facet |
Arctic Arctic Ocean |
op_relation |
Heutte, Benjamin; et al. (in review): Measurements of aerosol microphysical and chemical properties in the central Arctic atmosphere during MOSAiC. Haas, Christian (2020): Master track of POLARSTERN cruise PS122/2 in 1 sec resolution (zipped, 36.7 MB) [dataset]. Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.924672 (90 sec time resolution positional data) Kanzow, Torsten (2020): Master track of POLARSTERN cruise PS122/3 in 1 sec resolution (zipped, 52 MB) [dataset]. Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.924678 (90 sec time resolution positional data) Rex, Markus (2020): Master track of POLARSTERN cruise PS122/1 in 1 sec resolution (zipped, 43.3 MB) [dataset]. Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.924669 (90 sec time resolution positional data) Rex, Markus (2021): Master track of POLARSTERN cruise PS122/4 in 1 sec resolution (zipped, 36 MB) [dataset]. Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.926830 (90 sec time resolution positional data) Rex, Markus (2021): Master track of POLARSTERN cruise PS122/5 in 1 sec resolution (zipped, 34 MB) [dataset]. Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.926911 (90 sec time resolution positional data) Allan, James D; Alfarra, M Rami; Bower, Keith N; Williams, Paul I; Gallagher, Martin W; Jimenez, Jose L; McDonald, Alan G; Nemitz, Eiko; Canagaratna, Manjula R; Jayne, John T; Coe, Hugh; Worsnop, Douglas R (2003): Quantitative sampling using an Aerodyne aerosol mass spectrometer 2. Measurements of fine particulate chemical composition in two U.K. cities. Journal of Geophysical Research: Atmospheres, 108(D3), https://doi.org/10.1029/2002JD002359 Beck, Ivo; Angot, Hélène; Baccarini, Andrea; Dada, Lubna; Quéléver, Lauriane; Jokinen, Tuija; Laurila, Tiia; Lampimäki, Markus; Bukowiecki, Nicolas; Boyer, Matthew; Gong, Xianda; Gysel-Beer, Martin; Petäjä, Tuukka; Wang, Jian; Schmale, Julia (2022): Automated identification of local contamination in remote atmospheric composition time series. Atmospheric Measurement Techniques, 15(14), 4195-4224, https://doi.org/10.5194/amt-15-4195-2022 Canagaratna, Manjula R; Jayne, John T; Jimenez, Jose L; Allan, James D; Alfarra, M Rami; Zhang, Q; Onasch, T B; Drewnick, F; Coe, Hugh; Middlebrook, A; Delia, A; Williams, L R; Trimborn, A M; Northway, M J; DeCarlo, Peter F; Kolb, C E; Davidovits, Paul; Worsnop, Douglas R (2007): Chemical and microphysical characterization of ambient aerosols with the aerodyne aerosol mass spectrometer. Mass Spectrometry Reviews, 26(2), 185-222, https://doi.org/10.1002/mas.20115 Dada, Lubna; Angot, Hélène; Beck, Ivo; Baccarini, Andrea; Quéléver, Lauriane L J; Boyer, Matthew; Laurila, Tiia; Brasseur, Zoé; Jozef, Gina; de Boer, Gijs; Shupe, Matthew D; Henning, Silvia; Bucci, Silvia; Dütsch, Marina; Stohl, Andreas; Petäjä, Tuukka; Daellenbach, Kaspar R; Jokinen, Tuija; Schmale, Julia (2022): A central arctic extreme aerosol event triggered by a warm air-mass intrusion. Nature Communications, 13(1), 5290, https://doi.org/10.1038/s41467-022-32872-2 DeCarlo, Peter F; Kimmel, Joel R; Trimborn, Achim; Northway, M J; Jayne, John T; Aiken, Allison C; Gonin, Marc; Fuhrer, Katrin; Horvath, Thomas; Docherty, Kenneth S; Worsnop, Doug R; Jimenez, Jose L (2006): Field-Deployable, High-Resolution, Time-of-Flight Aerosol Mass Spectrometer. Analytical Chemistry, 78(24), 8281-8289, https://doi.org/10.1021/ac061249n Jimenez, Jose L; Jayne, John T; Shi, Quan; Kolb, C E; Worsnop, Douglas R; Yourshaw, Ivan; Seinfeld, John H; Flagan, Richard C; Zhang, Xuefeng; Smith, Kenneth A; Morris, James W; Davidovits, Paul (2003): Ambient aerosol sampling using the Aerodyne Aerosol Mass Spectrometer. Journal of Geophysical Research, 108(D7), 8425, https://doi.org/10.1029/2001JD001213 Middlebrook, Ann M; Bahreini, R; Jimenez, Jose L; Canagaratna, Manjula R (2012): Evaluation of Composition-Dependent Collection Efficiencies for the Aerodyne Aerosol Mass Spectrometer using Field Data. Aerosol Science and Technology, 46(3), 258-271, https://doi.org/10.1080/02786826.2011.620041 https://doi.pangaea.de/10.1594/PANGAEA.961009 https://doi.org/10.1594/PANGAEA.961009 |
op_rights |
CC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1594/PANGAEA.96100910.1594/PANGAEA.92467210.1594/PANGAEA.92467810.1594/PANGAEA.92466910.1594/PANGAEA.92683010.1594/PANGAEA.92691110.1029/2002JD00235910.5194/amt-15-4195-202210.1002/mas.2011510.1038/s41467-022-32872-210.1021/ac061249n10. |
_version_ |
1810294102760095744 |
spelling |
ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.961009 2024-09-15T17:52:01+00:00 Bulk size-resolved chemical composition and mass concentration of non-refractory submicron aerosols measured in the Swiss container during MOSAiC 2019/2020 Heutte, Benjamin Dada, Lubna Angot, Hélène Daellenbach, Kaspar R El Haddad, Imad Beck, Ivo Quéléver, Lauriane Jokinen, Tuija Laurila, Tiia Schmale, Julia MEDIAN LATITUDE: 84.604583 * MEDIAN LONGITUDE: 52.764158 * SOUTH-BOUND LATITUDE: 78.130183 * WEST-BOUND LONGITUDE: 2.377904 * NORTH-BOUND LATITUDE: 88.111474 * EAST-BOUND LONGITUDE: 136.965269 * DATE/TIME START: 2019-10-01T00:03:38 * DATE/TIME END: 2020-07-10T06:14:35 * MINIMUM ELEVATION: -4412.4 m * MAXIMUM ELEVATION: -214.0 m 2023 text/tab-separated-values, 1007790 data points https://doi.pangaea.de/10.1594/PANGAEA.961009 https://doi.org/10.1594/PANGAEA.961009 en eng PANGAEA Heutte, Benjamin; et al. (in review): Measurements of aerosol microphysical and chemical properties in the central Arctic atmosphere during MOSAiC. Haas, Christian (2020): Master track of POLARSTERN cruise PS122/2 in 1 sec resolution (zipped, 36.7 MB) [dataset]. Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.924672 (90 sec time resolution positional data) Kanzow, Torsten (2020): Master track of POLARSTERN cruise PS122/3 in 1 sec resolution (zipped, 52 MB) [dataset]. Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.924678 (90 sec time resolution positional data) Rex, Markus (2020): Master track of POLARSTERN cruise PS122/1 in 1 sec resolution (zipped, 43.3 MB) [dataset]. Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.924669 (90 sec time resolution positional data) Rex, Markus (2021): Master track of POLARSTERN cruise PS122/4 in 1 sec resolution (zipped, 36 MB) [dataset]. Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.926830 (90 sec time resolution positional data) Rex, Markus (2021): Master track of POLARSTERN cruise PS122/5 in 1 sec resolution (zipped, 34 MB) [dataset]. Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.926911 (90 sec time resolution positional data) Allan, James D; Alfarra, M Rami; Bower, Keith N; Williams, Paul I; Gallagher, Martin W; Jimenez, Jose L; McDonald, Alan G; Nemitz, Eiko; Canagaratna, Manjula R; Jayne, John T; Coe, Hugh; Worsnop, Douglas R (2003): Quantitative sampling using an Aerodyne aerosol mass spectrometer 2. Measurements of fine particulate chemical composition in two U.K. cities. Journal of Geophysical Research: Atmospheres, 108(D3), https://doi.org/10.1029/2002JD002359 Beck, Ivo; Angot, Hélène; Baccarini, Andrea; Dada, Lubna; Quéléver, Lauriane; Jokinen, Tuija; Laurila, Tiia; Lampimäki, Markus; Bukowiecki, Nicolas; Boyer, Matthew; Gong, Xianda; Gysel-Beer, Martin; Petäjä, Tuukka; Wang, Jian; Schmale, Julia (2022): Automated identification of local contamination in remote atmospheric composition time series. Atmospheric Measurement Techniques, 15(14), 4195-4224, https://doi.org/10.5194/amt-15-4195-2022 Canagaratna, Manjula R; Jayne, John T; Jimenez, Jose L; Allan, James D; Alfarra, M Rami; Zhang, Q; Onasch, T B; Drewnick, F; Coe, Hugh; Middlebrook, A; Delia, A; Williams, L R; Trimborn, A M; Northway, M J; DeCarlo, Peter F; Kolb, C E; Davidovits, Paul; Worsnop, Douglas R (2007): Chemical and microphysical characterization of ambient aerosols with the aerodyne aerosol mass spectrometer. Mass Spectrometry Reviews, 26(2), 185-222, https://doi.org/10.1002/mas.20115 Dada, Lubna; Angot, Hélène; Beck, Ivo; Baccarini, Andrea; Quéléver, Lauriane L J; Boyer, Matthew; Laurila, Tiia; Brasseur, Zoé; Jozef, Gina; de Boer, Gijs; Shupe, Matthew D; Henning, Silvia; Bucci, Silvia; Dütsch, Marina; Stohl, Andreas; Petäjä, Tuukka; Daellenbach, Kaspar R; Jokinen, Tuija; Schmale, Julia (2022): A central arctic extreme aerosol event triggered by a warm air-mass intrusion. Nature Communications, 13(1), 5290, https://doi.org/10.1038/s41467-022-32872-2 DeCarlo, Peter F; Kimmel, Joel R; Trimborn, Achim; Northway, M J; Jayne, John T; Aiken, Allison C; Gonin, Marc; Fuhrer, Katrin; Horvath, Thomas; Docherty, Kenneth S; Worsnop, Doug R; Jimenez, Jose L (2006): Field-Deployable, High-Resolution, Time-of-Flight Aerosol Mass Spectrometer. Analytical Chemistry, 78(24), 8281-8289, https://doi.org/10.1021/ac061249n Jimenez, Jose L; Jayne, John T; Shi, Quan; Kolb, C E; Worsnop, Douglas R; Yourshaw, Ivan; Seinfeld, John H; Flagan, Richard C; Zhang, Xuefeng; Smith, Kenneth A; Morris, James W; Davidovits, Paul (2003): Ambient aerosol sampling using the Aerodyne Aerosol Mass Spectrometer. Journal of Geophysical Research, 108(D7), 8425, https://doi.org/10.1029/2001JD001213 Middlebrook, Ann M; Bahreini, R; Jimenez, Jose L; Canagaratna, Manjula R (2012): Evaluation of Composition-Dependent Collection Efficiencies for the Aerodyne Aerosol Mass Spectrometer using Field Data. Aerosol Science and Technology, 46(3), 258-271, https://doi.org/10.1080/02786826.2011.620041 https://doi.pangaea.de/10.1594/PANGAEA.961009 https://doi.org/10.1594/PANGAEA.961009 CC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess aerosol Aerosol chemistry Aerosol Mass Spectrometer Ammonium AMS Arctic aerosol Arctic Ocean Chloride DATE/TIME Event label Flag pollution High Resolution Time-of-Flight Aerosol Mass Spectrometer (HR-ToF-AMS) Aerodyne LATITUDE LONGITUDE MOSAiC MOSAiC_ATMOS MOSAiC20192020 Multidisciplinary drifting Observatory for the Study of Arctic Climate Nitrate organic aerosols Organics Polarstern PS122/1 PS122/1_1-81 PS122/3 PS122/3_28-26 PS122/4 PS122/4_43-20 Quality flag Sulfate sulfate aerosol dataset 2023 ftpangaea https://doi.org/10.1594/PANGAEA.96100910.1594/PANGAEA.92467210.1594/PANGAEA.92467810.1594/PANGAEA.92466910.1594/PANGAEA.92683010.1594/PANGAEA.92691110.1029/2002JD00235910.5194/amt-15-4195-202210.1002/mas.2011510.1038/s41467-022-32872-210.1021/ac061249n10. 2024-07-24T02:31:35Z This dataset contains the bulk size-resolved chemical composition and mass concentration of non-refractory submicron aerosols (NR-PM1) measured during the MOSAiC expedition from October 2019 to July 2020. These include the mass concentrations of sulfate (SO42-), nitrate (NO3-), ammonium (NH4+), chloride (Chl), and organics (Org). The measurements were performed in the Swiss container on the D-deck of Research Vessel Polarstern, using a commercial High-Resolution Time-of-Flight Aerosol Mass Spectrometer (HR-ToF-AMS, Aerodyne Research, Inc.). One can refer to existing literature (e.g., DeCarlo et al. (2006) and Canagaratna et al. (2007)) for detailed description, functioning principles and field deployment procedures of the AMS. The instrument was located behind an automated valve, which switched hourly between a total and an interstitial air inlet, with upper cutoff sizes of 40 and 1 µm respectively (Heutte et al. (Submitted), Beck et al. (2022), and Dada et al. (2022)). Ambient air was hence sampled alternately every hour from the total and interstitial inlets into an aerodynamic lens with a 1 µm critical orifice and a flow of 0.07 L/min. All data were processed using SQUIRREL v1.65B and PIKA v1.25B within the IGOR Pro v9.00 software. This was done separately for the three distinct periods of available measurements, October to December 2019, March to May, and June to July 2020, as the instrument was each time in a different state (after long down times related to turbo pump failures). Regular on-site calibrations using monodisperse, number concentration-defined, ammonium nitrate (NH4NO3) and ammonium sulfate ((NH4)2SO4) particles were performed to determine the ionization efficiency of NO3- and relative ionization efficiencies of NH4+ and SO42- (Jimenez et al. (2003) and Allan et al. (2003)). An airbeam correction factor was applied to the dataset, along with a time and composition-dependent collection efficiency (CDCE, Middlebrook et al. (2012)). Several times per month, zero measurements were performed using ... Dataset Arctic Arctic Ocean PANGAEA - Data Publisher for Earth & Environmental Science ENVELOPE(2.377904,136.965269,88.111474,78.130183) |