Carbon monoxide dry air mole fractions measured during MOSAiC 2019/2020 (merged dataset) ...

This dataset contains hourly-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. This is a merged dataset that combines cross-evaluated measuremen...

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Main Authors: Angot, Hélène, Blomquist, Byron, Howard, Dean, Archer, Stephen, Bariteau, Ludovic, Beck, Ivo, Boyer, Matthew, Helmig, Detlev, Hueber, Jacques, Jacobi, Hans-Werner, Jokinen, Tuija, Lan, Xin, Laurila, Tiia, Madronich, Monica, Posman, Kevin, Quéléver, Lauriane, Shupe, Matthew D, Schmale, Julia
Format: Dataset
Language:English
Published: PANGAEA 2022
Subjects:
Online Access:https://dx.doi.org/10.1594/pangaea.944389
https://doi.pangaea.de/10.1594/PANGAEA.944389
id ftdatacite:10.1594/pangaea.944389
record_format openpolar
spelling ftdatacite:10.1594/pangaea.944389 2023-12-31T10:03:19+01:00 Carbon monoxide dry air mole fractions measured during MOSAiC 2019/2020 (merged dataset) ... Angot, Hélène Blomquist, Byron Howard, Dean Archer, Stephen Bariteau, Ludovic Beck, Ivo Boyer, Matthew Helmig, Detlev Hueber, Jacques Jacobi, Hans-Werner Jokinen, Tuija Lan, Xin Laurila, Tiia Madronich, Monica Posman, Kevin Quéléver, Lauriane Shupe, Matthew D Schmale, Julia 2022 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.944389 https://doi.pangaea.de/10.1594/PANGAEA.944389 en eng PANGAEA https://dx.doi.org/10.1038/s41597-022-01769-6 https://dx.doi.org/10.1594/pangaea.944264 https://dx.doi.org/10.25925/aybv-yz43 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 https://dx.doi.org/10.5439/1046183 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 Carbon monoxide, dry-air mole fraction Location Trace gas monitor Aerosol Observing System Air sampler Snow sampler metal 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.94438910.1038/s41597-022-01769-610.1594/pangaea.94426410.25925/aybv-yz4310.1594/pangaea.92467210.1594/pangaea.92467810.1594/pangaea.92466910.1594/pangaea.92683010.1594/pangaea.92691110.5439/1046183 2023-12-01T11:46:36Z This dataset contains hourly-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. This is a merged dataset that combines cross-evaluated measurements performed in the Atmospheric Radiation Measurement (ARM) Program and Swiss containers on the D-deck of Research Vessel Polarstern, along with data from discrete whole air samples collected for post-cruise analysis at the National Oceanic and Atmospheric Administration (NOAA) Global Monitoring Laboratory (GML). The data columns include the Date and Time in Coordinated Universal Time (UTC), the latitude and longitude of the Research Vessel Polarstern, the carbon monoxide dry air mole fraction in nmol/mol, and the sampling location. ... : This merged dataset was created using the following datasets: Trojanowski and Springston (2019), Angot et al (in review), Petron et al. (2020).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)
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
Carbon monoxide, dry-air mole fraction
Location
Trace gas monitor
Aerosol Observing System
Air sampler
Snow sampler metal
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
Carbon monoxide, dry-air mole fraction
Location
Trace gas monitor
Aerosol Observing System
Air sampler
Snow sampler metal
PS122/1
PS122/2
PS122/3
PS122/4
PS122/5
Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC
Angot, Hélène
Blomquist, Byron
Howard, Dean
Archer, Stephen
Bariteau, Ludovic
Beck, Ivo
Boyer, Matthew
Helmig, Detlev
Hueber, Jacques
Jacobi, Hans-Werner
Jokinen, Tuija
Lan, Xin
Laurila, Tiia
Madronich, Monica
Posman, Kevin
Quéléver, Lauriane
Shupe, Matthew D
Schmale, Julia
Carbon monoxide dry air mole fractions measured during MOSAiC 2019/2020 (merged dataset) ...
topic_facet carbon monoxide
central Arctic Ocean
MOSAiC20192020
MOSAiC_ATMOS
Polarstern
DATE/TIME
LATITUDE
LONGITUDE
Carbon monoxide, dry-air mole fraction
Location
Trace gas monitor
Aerosol Observing System
Air sampler
Snow sampler metal
PS122/1
PS122/2
PS122/3
PS122/4
PS122/5
Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC
description This dataset contains hourly-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. This is a merged dataset that combines cross-evaluated measurements performed in the Atmospheric Radiation Measurement (ARM) Program and Swiss containers on the D-deck of Research Vessel Polarstern, along with data from discrete whole air samples collected for post-cruise analysis at the National Oceanic and Atmospheric Administration (NOAA) Global Monitoring Laboratory (GML). The data columns include the Date and Time in Coordinated Universal Time (UTC), the latitude and longitude of the Research Vessel Polarstern, the carbon monoxide dry air mole fraction in nmol/mol, and the sampling location. ... : This merged dataset was created using the following datasets: Trojanowski and Springston (2019), Angot et al (in review), Petron et al. (2020).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
Blomquist, Byron
Howard, Dean
Archer, Stephen
Bariteau, Ludovic
Beck, Ivo
Boyer, Matthew
Helmig, Detlev
Hueber, Jacques
Jacobi, Hans-Werner
Jokinen, Tuija
Lan, Xin
Laurila, Tiia
Madronich, Monica
Posman, Kevin
Quéléver, Lauriane
Shupe, Matthew D
Schmale, Julia
author_facet Angot, Hélène
Blomquist, Byron
Howard, Dean
Archer, Stephen
Bariteau, Ludovic
Beck, Ivo
Boyer, Matthew
Helmig, Detlev
Hueber, Jacques
Jacobi, Hans-Werner
Jokinen, Tuija
Lan, Xin
Laurila, Tiia
Madronich, Monica
Posman, Kevin
Quéléver, Lauriane
Shupe, Matthew D
Schmale, Julia
author_sort Angot, Hélène
title Carbon monoxide dry air mole fractions measured during MOSAiC 2019/2020 (merged dataset) ...
title_short Carbon monoxide dry air mole fractions measured during MOSAiC 2019/2020 (merged dataset) ...
title_full Carbon monoxide dry air mole fractions measured during MOSAiC 2019/2020 (merged dataset) ...
title_fullStr Carbon monoxide dry air mole fractions measured during MOSAiC 2019/2020 (merged dataset) ...
title_full_unstemmed Carbon monoxide dry air mole fractions measured during MOSAiC 2019/2020 (merged dataset) ...
title_sort carbon monoxide dry air mole fractions measured during mosaic 2019/2020 (merged dataset) ...
publisher PANGAEA
publishDate 2022
url https://dx.doi.org/10.1594/pangaea.944389
https://doi.pangaea.de/10.1594/PANGAEA.944389
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/10.1594/pangaea.944264
https://dx.doi.org/10.25925/aybv-yz43
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
https://dx.doi.org/10.5439/1046183
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.94438910.1038/s41597-022-01769-610.1594/pangaea.94426410.25925/aybv-yz4310.1594/pangaea.92467210.1594/pangaea.92467810.1594/pangaea.92466910.1594/pangaea.92683010.1594/pangaea.92691110.5439/1046183
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