Carbon monoxide dry air mole fractions measured in the Swiss container during MOSAiC 2019/2020 ...
This dataset contains minute-averaged carbon monoxide dry air mole fractions 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-d...
Main Authors: | , , , , , |
---|---|
Format: | Dataset |
Language: | English |
Published: |
PANGAEA
2022
|
Subjects: | |
Online Access: | https://dx.doi.org/10.1594/pangaea.944264 https://doi.pangaea.de/10.1594/PANGAEA.944264 |
id |
ftdatacite:10.1594/pangaea.944264 |
---|---|
record_format |
openpolar |
spelling |
ftdatacite:10.1594/pangaea.944264 2023-05-15T14:54:21+02:00 Carbon monoxide dry air mole fractions measured in the Swiss container during MOSAiC 2019/2020 ... Angot, Hélène Beck, Ivo Jokinen, Tuija Laurila, Tiia Quéléver, Lauriane Schmale, Julia 2022 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.944264 https://doi.pangaea.de/10.1594/PANGAEA.944264 en eng PANGAEA https://dx.doi.org/10.1038/s41597-022-01769-6 https://dx.doi.org/10.5194/amt-15-4195-2022 https://dx.doi.org/10.1594/pangaea.924672 https://dx.doi.org/10.1594/pangaea.924678 https://dx.doi.org/10.1594/pangaea.924669 https://dx.doi.org/10.1594/pangaea.926830 https://dx.doi.org/10.1594/pangaea.926911 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 carbon monoxide central Arctic Ocean MOSAiC20192020 MOSAiC_ATMOS Polarstern DATE/TIME LATITUDE LONGITUDE Event label Carbon monoxide, dry-air mole fraction Flag, pollution Trace gas monitor Cavity ring down spectrometer, G2401, Picarro Inc. PS122/1 PS122/2 PS122/3 PS122/4 PS122/5 Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC dataset Dataset 2022 ftdatacite https://doi.org/10.1594/pangaea.94426410.1038/s41597-022-01769-610.5194/amt-15-4195-202210.1594/pangaea.92467210.1594/pangaea.92467810.1594/pangaea.92466910.1594/pangaea.92683010.1594/pangaea.926911 2023-04-03T12:49:34Z This dataset contains minute-averaged carbon monoxide dry air mole fractions 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. Data were collected by cavity ring-down spectroscopy using a commercial Picarro instrument (model G2401). The minute-averaged dry air mole fractions were adjusted after cross-evaluation against discrete whole air samples collected for post-cruise analysis at the National Oceanic and Atmospheric Administration (NOAA) Global Monitoring Laboratory. Pollution spikes due to local anthropogenic pollution sources (e.g., exhaust by the vessel's engine and vents, skidoos, helicopters, on-ice diesel generators) were identified and flagged as follows. For each data point, the gradient (time derivative) was calculated (Beck et al., 2022). Data points corresponding to an abnormally high ... : We used 1 sec time resolution positional data from the following datasets: PS122/1: Rex, M (2020), PS122/2: Haas, C (2020), PS122/3: Kanzow, T (2020), PS122/4: Rex, M (2021a), PS122/5: Rex, M (2021b) ... Dataset Arctic Arctic Ocean DataCite Metadata Store (German National Library of Science and Technology) Arctic Arctic Ocean Beck ENVELOPE(67.017,67.017,-71.033,-71.033) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
carbon monoxide central Arctic Ocean MOSAiC20192020 MOSAiC_ATMOS Polarstern DATE/TIME LATITUDE LONGITUDE Event label Carbon monoxide, dry-air mole fraction Flag, pollution Trace gas monitor Cavity ring down spectrometer, G2401, Picarro Inc. PS122/1 PS122/2 PS122/3 PS122/4 PS122/5 Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC |
spellingShingle |
carbon monoxide central Arctic Ocean MOSAiC20192020 MOSAiC_ATMOS Polarstern DATE/TIME LATITUDE LONGITUDE Event label Carbon monoxide, dry-air mole fraction Flag, pollution Trace gas monitor Cavity ring down spectrometer, G2401, Picarro Inc. PS122/1 PS122/2 PS122/3 PS122/4 PS122/5 Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC Angot, Hélène Beck, Ivo Jokinen, Tuija Laurila, Tiia Quéléver, Lauriane Schmale, Julia Carbon monoxide dry air mole fractions measured in the Swiss container during MOSAiC 2019/2020 ... |
topic_facet |
carbon monoxide central Arctic Ocean MOSAiC20192020 MOSAiC_ATMOS Polarstern DATE/TIME LATITUDE LONGITUDE Event label Carbon monoxide, dry-air mole fraction Flag, pollution Trace gas monitor Cavity ring down spectrometer, G2401, Picarro Inc. PS122/1 PS122/2 PS122/3 PS122/4 PS122/5 Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC |
description |
This dataset contains minute-averaged carbon monoxide dry air mole fractions 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. Data were collected by cavity ring-down spectroscopy using a commercial Picarro instrument (model G2401). The minute-averaged dry air mole fractions were adjusted after cross-evaluation against discrete whole air samples collected for post-cruise analysis at the National Oceanic and Atmospheric Administration (NOAA) Global Monitoring Laboratory. Pollution spikes due to local anthropogenic pollution sources (e.g., exhaust by the vessel's engine and vents, skidoos, helicopters, on-ice diesel generators) were identified and flagged as follows. For each data point, the gradient (time derivative) was calculated (Beck et al., 2022). Data points corresponding to an abnormally high ... : We used 1 sec time resolution positional data from the following datasets: PS122/1: Rex, M (2020), PS122/2: Haas, C (2020), PS122/3: Kanzow, T (2020), PS122/4: Rex, M (2021a), PS122/5: Rex, M (2021b) ... |
format |
Dataset |
author |
Angot, Hélène Beck, Ivo Jokinen, Tuija Laurila, Tiia Quéléver, Lauriane Schmale, Julia |
author_facet |
Angot, Hélène Beck, Ivo Jokinen, Tuija Laurila, Tiia Quéléver, Lauriane Schmale, Julia |
author_sort |
Angot, Hélène |
title |
Carbon monoxide dry air mole fractions measured in the Swiss container during MOSAiC 2019/2020 ... |
title_short |
Carbon monoxide dry air mole fractions measured in the Swiss container during MOSAiC 2019/2020 ... |
title_full |
Carbon monoxide dry air mole fractions measured in the Swiss container during MOSAiC 2019/2020 ... |
title_fullStr |
Carbon monoxide dry air mole fractions measured in the Swiss container during MOSAiC 2019/2020 ... |
title_full_unstemmed |
Carbon monoxide dry air mole fractions measured in the Swiss container during MOSAiC 2019/2020 ... |
title_sort |
carbon monoxide dry air mole fractions measured in the swiss container during mosaic 2019/2020 ... |
publisher |
PANGAEA |
publishDate |
2022 |
url |
https://dx.doi.org/10.1594/pangaea.944264 https://doi.pangaea.de/10.1594/PANGAEA.944264 |
long_lat |
ENVELOPE(67.017,67.017,-71.033,-71.033) |
geographic |
Arctic Arctic Ocean Beck |
geographic_facet |
Arctic Arctic Ocean Beck |
genre |
Arctic Arctic Ocean |
genre_facet |
Arctic Arctic Ocean |
op_relation |
https://dx.doi.org/10.1038/s41597-022-01769-6 https://dx.doi.org/10.5194/amt-15-4195-2022 https://dx.doi.org/10.1594/pangaea.924672 https://dx.doi.org/10.1594/pangaea.924678 https://dx.doi.org/10.1594/pangaea.924669 https://dx.doi.org/10.1594/pangaea.926830 https://dx.doi.org/10.1594/pangaea.926911 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.1594/pangaea.94426410.1038/s41597-022-01769-610.5194/amt-15-4195-202210.1594/pangaea.92467210.1594/pangaea.92467810.1594/pangaea.92466910.1594/pangaea.92683010.1594/pangaea.926911 |
_version_ |
1766326076510830592 |