Cloud Condensation Nuclei (CCN) concentrations at 0.15% supersaturation level measured in the Swiss container during MOSAiC 2019/2020

This dataset contains CCN concentrations at five supersaturation levels, averaged to 1 min time resolution, measured during the year-long Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition from October 2019 to September 2020. The measurements were performed in...

Full description

Bibliographic Details
Main Authors: Bergner, Nora, Heutte, Benjamin, Angot, Hélène, Dada, Lubna, Beck, Ivo, Quéléver, Lauriane, Jokinen, Tuija, Laurila, Tiia, Schmale, Julia
Format: Dataset
Language:English
Published: PANGAEA 2023
Subjects:
CPC
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.961132
https://doi.org/10.1594/PANGAEA.961132
id ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.961132
record_format openpolar
institution Open Polar
collection PANGAEA - Data Publisher for Earth & Environmental Science
op_collection_id ftpangaea
language English
topic aerosols
Arctic aerosol
Arctic Ocean
CCNC
cloud condensation nuclei
Cloud Condensation Nuclei Counter
Condensation particle counter
CPC
DATE/TIME
Event label
Flag
pollution
LATITUDE
LONGITUDE
MOSAiC
MOSAiC_ATMOS
MOSAiC20192020
Multidisciplinary drifting Observatory for the Study of Arctic Climate
Particle number
Polarstern
PS122/1
PS122/1_1-83
PS122/2
PS122/2_14-33
PS122/3
PS122/3_28-29
spellingShingle aerosols
Arctic aerosol
Arctic Ocean
CCNC
cloud condensation nuclei
Cloud Condensation Nuclei Counter
Condensation particle counter
CPC
DATE/TIME
Event label
Flag
pollution
LATITUDE
LONGITUDE
MOSAiC
MOSAiC_ATMOS
MOSAiC20192020
Multidisciplinary drifting Observatory for the Study of Arctic Climate
Particle number
Polarstern
PS122/1
PS122/1_1-83
PS122/2
PS122/2_14-33
PS122/3
PS122/3_28-29
Bergner, Nora
Heutte, Benjamin
Angot, Hélène
Dada, Lubna
Beck, Ivo
Quéléver, Lauriane
Jokinen, Tuija
Laurila, Tiia
Schmale, Julia
Cloud Condensation Nuclei (CCN) concentrations at 0.15% supersaturation level measured in the Swiss container during MOSAiC 2019/2020
topic_facet aerosols
Arctic aerosol
Arctic Ocean
CCNC
cloud condensation nuclei
Cloud Condensation Nuclei Counter
Condensation particle counter
CPC
DATE/TIME
Event label
Flag
pollution
LATITUDE
LONGITUDE
MOSAiC
MOSAiC_ATMOS
MOSAiC20192020
Multidisciplinary drifting Observatory for the Study of Arctic Climate
Particle number
Polarstern
PS122/1
PS122/1_1-83
PS122/2
PS122/2_14-33
PS122/3
PS122/3_28-29
description This dataset contains CCN concentrations at five supersaturation levels, averaged to 1 min time resolution, measured during the year-long Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition from October 2019 to September 2020. The measurements were performed in the Swiss container on the D-deck of Research Vessel Polarstern, using the model CCN-100 from Droplet Measurement Technologies (DMT, Boulder, USA). Detailed description of the measurement principle can be found in e.g. Roberts & Nenes (2005). 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; Dada et al., 2022). The measurements were performed in 1-h cycles, with a 0.5 L/min sample flow and a 2 L/min make up flow, where the supersaturations 0.15, 0.2, 0.3, 0.5 and 1.0 % were measured. The supersaturation of 0.15 % is measured for 20 min, as it takes longer to equilibrate, and the remaining supersaturations were measured for 10 min each. The instrument was calibrated in July 2019 before the campaign, and in March and April 2020 during the campaign. Based on the inter-variability of the calculated supersaturation levels during these calibrations, we can expect values ranging from 0.15-0.20, 0.20-0.25, 0.29-0.33, 0.43-0.5, 0.78-1.0 % for the nominal supersaturations of 0.15, 0.2, 0.3, 0.5 and 1.0 %, respectively. The counting error for the CCNC is associated with the error in the optical counting of particles and is about 10 %. Data were removed during the cooling cycle (i.e., the time when the measurement cycle starts again and the temperature is cooled to set the lowest supersaturation), which corresponds roughly to the first 10 min of each hour (so 50 % of the 0.15 % supersaturation period). Additionally, the first minute of the transition between supersaturations was removed before averaging the data to 1 min time resolution. During some time ...
format Dataset
author Bergner, Nora
Heutte, Benjamin
Angot, Hélène
Dada, Lubna
Beck, Ivo
Quéléver, Lauriane
Jokinen, Tuija
Laurila, Tiia
Schmale, Julia
author_facet Bergner, Nora
Heutte, Benjamin
Angot, Hélène
Dada, Lubna
Beck, Ivo
Quéléver, Lauriane
Jokinen, Tuija
Laurila, Tiia
Schmale, Julia
author_sort Bergner, Nora
title Cloud Condensation Nuclei (CCN) concentrations at 0.15% supersaturation level measured in the Swiss container during MOSAiC 2019/2020
title_short Cloud Condensation Nuclei (CCN) concentrations at 0.15% supersaturation level measured in the Swiss container during MOSAiC 2019/2020
title_full Cloud Condensation Nuclei (CCN) concentrations at 0.15% supersaturation level measured in the Swiss container during MOSAiC 2019/2020
title_fullStr Cloud Condensation Nuclei (CCN) concentrations at 0.15% supersaturation level measured in the Swiss container during MOSAiC 2019/2020
title_full_unstemmed Cloud Condensation Nuclei (CCN) concentrations at 0.15% supersaturation level measured in the Swiss container during MOSAiC 2019/2020
title_sort cloud condensation nuclei (ccn) concentrations at 0.15% supersaturation level measured in the swiss container during mosaic 2019/2020
publisher PANGAEA
publishDate 2023
url https://doi.pangaea.de/10.1594/PANGAEA.961132
https://doi.org/10.1594/PANGAEA.961132
op_coverage MEDIAN LATITUDE: 86.211668 * MEDIAN LONGITUDE: 79.996119 * SOUTH-BOUND LATITUDE: 83.532641 * WEST-BOUND LONGITUDE: 12.112018 * NORTH-BOUND LATITUDE: 88.598711 * EAST-BOUND LONGITUDE: 136.962889 * DATE/TIME START: 2019-10-01T00:10:00 * DATE/TIME END: 2020-05-11T07:19:00 * MINIMUM ELEVATION: -4412.4 m * MAXIMUM ELEVATION: -4187.4 m
long_lat ENVELOPE(12.112018,136.962889,88.598711,83.532641)
genre Arctic
Arctic Ocean
genre_facet Arctic
Arctic Ocean
op_relation https://doi.org/10.1594/PANGAEA.961131
Beck, Ivo; Quéléver, Lauriane; Laurila, Tiia; Jokinen, Tuija; Schmale, Julia (2022): Continuous corrected particle number concentration data in 10 sec resolution, measured in the Swiss aerosol container during MOSAiC 2019/2020 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.941886
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 (1 min 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 (1 min 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 (1 min 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 (1 min 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 (1 min time resolution positional data)
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
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
Heutte, Benjamin; et al. (in review): Measurements of aerosol microphysical and chemical properties in the central Arctic atmosphere during MOSAiC.
Roberts, Gregory C; Nenes, A (2005): A Continuous-Flow Streamwise Thermal-Gradient CCN Chamber for Atmospheric Measurements. Aerosol Science and Technology, 39(3), 206-221, https://doi.org/10.1080/027868290913988
https://doi.pangaea.de/10.1594/PANGAEA.961132
https://doi.org/10.1594/PANGAEA.961132
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.96113210.1594/PANGAEA.96113110.1594/PANGAEA.94188610.1594/PANGAEA.92467210.1594/PANGAEA.92467810.1594/PANGAEA.92466910.1594/PANGAEA.92683010.1594/PANGAEA.92691110.5194/amt-15-4195-202210.1038/s41467-022-32872-210.1080/02786
_version_ 1810294062403551232
spelling ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.961132 2024-09-15T17:51:59+00:00 Cloud Condensation Nuclei (CCN) concentrations at 0.15% supersaturation level measured in the Swiss container during MOSAiC 2019/2020 Bergner, Nora Heutte, Benjamin Angot, Hélène Dada, Lubna Beck, Ivo Quéléver, Lauriane Jokinen, Tuija Laurila, Tiia Schmale, Julia MEDIAN LATITUDE: 86.211668 * MEDIAN LONGITUDE: 79.996119 * SOUTH-BOUND LATITUDE: 83.532641 * WEST-BOUND LONGITUDE: 12.112018 * NORTH-BOUND LATITUDE: 88.598711 * EAST-BOUND LONGITUDE: 136.962889 * DATE/TIME START: 2019-10-01T00:10:00 * DATE/TIME END: 2020-05-11T07:19:00 * MINIMUM ELEVATION: -4412.4 m * MAXIMUM ELEVATION: -4187.4 m 2023 text/tab-separated-values, 105453 data points https://doi.pangaea.de/10.1594/PANGAEA.961132 https://doi.org/10.1594/PANGAEA.961132 en eng PANGAEA https://doi.org/10.1594/PANGAEA.961131 Beck, Ivo; Quéléver, Lauriane; Laurila, Tiia; Jokinen, Tuija; Schmale, Julia (2022): Continuous corrected particle number concentration data in 10 sec resolution, measured in the Swiss aerosol container during MOSAiC 2019/2020 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.941886 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 (1 min 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 (1 min 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 (1 min 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 (1 min 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 (1 min time resolution positional data) 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 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 Heutte, Benjamin; et al. (in review): Measurements of aerosol microphysical and chemical properties in the central Arctic atmosphere during MOSAiC. Roberts, Gregory C; Nenes, A (2005): A Continuous-Flow Streamwise Thermal-Gradient CCN Chamber for Atmospheric Measurements. Aerosol Science and Technology, 39(3), 206-221, https://doi.org/10.1080/027868290913988 https://doi.pangaea.de/10.1594/PANGAEA.961132 https://doi.org/10.1594/PANGAEA.961132 CC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess aerosols Arctic aerosol Arctic Ocean CCNC cloud condensation nuclei Cloud Condensation Nuclei Counter Condensation particle counter CPC DATE/TIME Event label Flag pollution LATITUDE LONGITUDE MOSAiC MOSAiC_ATMOS MOSAiC20192020 Multidisciplinary drifting Observatory for the Study of Arctic Climate Particle number Polarstern PS122/1 PS122/1_1-83 PS122/2 PS122/2_14-33 PS122/3 PS122/3_28-29 dataset 2023 ftpangaea https://doi.org/10.1594/PANGAEA.96113210.1594/PANGAEA.96113110.1594/PANGAEA.94188610.1594/PANGAEA.92467210.1594/PANGAEA.92467810.1594/PANGAEA.92466910.1594/PANGAEA.92683010.1594/PANGAEA.92691110.5194/amt-15-4195-202210.1038/s41467-022-32872-210.1080/02786 2024-07-24T02:31:43Z This dataset contains CCN concentrations at five supersaturation levels, averaged to 1 min time resolution, measured during the year-long Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition from October 2019 to September 2020. The measurements were performed in the Swiss container on the D-deck of Research Vessel Polarstern, using the model CCN-100 from Droplet Measurement Technologies (DMT, Boulder, USA). Detailed description of the measurement principle can be found in e.g. Roberts & Nenes (2005). 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; Dada et al., 2022). The measurements were performed in 1-h cycles, with a 0.5 L/min sample flow and a 2 L/min make up flow, where the supersaturations 0.15, 0.2, 0.3, 0.5 and 1.0 % were measured. The supersaturation of 0.15 % is measured for 20 min, as it takes longer to equilibrate, and the remaining supersaturations were measured for 10 min each. The instrument was calibrated in July 2019 before the campaign, and in March and April 2020 during the campaign. Based on the inter-variability of the calculated supersaturation levels during these calibrations, we can expect values ranging from 0.15-0.20, 0.20-0.25, 0.29-0.33, 0.43-0.5, 0.78-1.0 % for the nominal supersaturations of 0.15, 0.2, 0.3, 0.5 and 1.0 %, respectively. The counting error for the CCNC is associated with the error in the optical counting of particles and is about 10 %. Data were removed during the cooling cycle (i.e., the time when the measurement cycle starts again and the temperature is cooled to set the lowest supersaturation), which corresponds roughly to the first 10 min of each hour (so 50 % of the 0.15 % supersaturation period). Additionally, the first minute of the transition between supersaturations was removed before averaging the data to 1 min time resolution. During some time ... Dataset Arctic Arctic Ocean PANGAEA - Data Publisher for Earth & Environmental Science ENVELOPE(12.112018,136.962889,88.598711,83.532641)