Airmass Analysis of Size-Resolved Black Carbon Particles Observed in the Arctic Based on Cluster Analysis
Here we apply new analysis methods and approaches to existing long-term measurement series that provide additional insights into the atmospheric processes that control black carbon (BC) in the Arctic. Based on clustering size distribution data from Zeppelin Observatory for the years 2002–2010, obser...
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ftmdpi:oai:mdpi.com:/2073-4433/13/5/648/ 2023-08-20T04:04:13+02:00 Airmass Analysis of Size-Resolved Black Carbon Particles Observed in the Arctic Based on Cluster Analysis Roxana S. Cremer Peter Tunved Johan Ström agris 2022-04-20 application/pdf https://doi.org/10.3390/atmos13050648 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/atmos13050648 https://creativecommons.org/licenses/by/4.0/ Atmosphere; Volume 13; Issue 5; Pages: 648 carbonaceous aerosol aerosol life cycle light-absorbing particles Svalbard particle soot absorption photometer absorption coefficient Text 2022 ftmdpi https://doi.org/10.3390/atmos13050648 2023-08-01T04:48:38Z Here we apply new analysis methods and approaches to existing long-term measurement series that provide additional insights into the atmospheric processes that control black carbon (BC) in the Arctic. Based on clustering size distribution data from Zeppelin Observatory for the years 2002–2010, observations classified as ‘Polluted’ were further investigated based on BC properties. The data were split into two subgroups, and while the microphysical and chemical fingerprints of the two subgroups are very similar, they show larger differences in BC concentration and correlation with the particle size distribution. Therefore, a source–receptor analysis was performed with HYSPLIT 10-days backward trajectories for both subsets. We demonstrate that within this ‘Polluted’ category, the airmasses that contributed to the largest BC signal at the Zeppelin station are not necessarily associated with traditional transport pathways from Eurasia. Instead, the strongest signal is from a region east of the Ural Mountains across the continent to the Kamchatka Peninsula. Text Arctic black carbon Kamchatka Kamchatka Peninsula Svalbard MDPI Open Access Publishing Arctic Svalbard Kamchatka Peninsula ENVELOPE(160.000,160.000,56.000,56.000) Atmosphere 13 5 648 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
carbonaceous aerosol aerosol life cycle light-absorbing particles Svalbard particle soot absorption photometer absorption coefficient |
spellingShingle |
carbonaceous aerosol aerosol life cycle light-absorbing particles Svalbard particle soot absorption photometer absorption coefficient Roxana S. Cremer Peter Tunved Johan Ström Airmass Analysis of Size-Resolved Black Carbon Particles Observed in the Arctic Based on Cluster Analysis |
topic_facet |
carbonaceous aerosol aerosol life cycle light-absorbing particles Svalbard particle soot absorption photometer absorption coefficient |
description |
Here we apply new analysis methods and approaches to existing long-term measurement series that provide additional insights into the atmospheric processes that control black carbon (BC) in the Arctic. Based on clustering size distribution data from Zeppelin Observatory for the years 2002–2010, observations classified as ‘Polluted’ were further investigated based on BC properties. The data were split into two subgroups, and while the microphysical and chemical fingerprints of the two subgroups are very similar, they show larger differences in BC concentration and correlation with the particle size distribution. Therefore, a source–receptor analysis was performed with HYSPLIT 10-days backward trajectories for both subsets. We demonstrate that within this ‘Polluted’ category, the airmasses that contributed to the largest BC signal at the Zeppelin station are not necessarily associated with traditional transport pathways from Eurasia. Instead, the strongest signal is from a region east of the Ural Mountains across the continent to the Kamchatka Peninsula. |
format |
Text |
author |
Roxana S. Cremer Peter Tunved Johan Ström |
author_facet |
Roxana S. Cremer Peter Tunved Johan Ström |
author_sort |
Roxana S. Cremer |
title |
Airmass Analysis of Size-Resolved Black Carbon Particles Observed in the Arctic Based on Cluster Analysis |
title_short |
Airmass Analysis of Size-Resolved Black Carbon Particles Observed in the Arctic Based on Cluster Analysis |
title_full |
Airmass Analysis of Size-Resolved Black Carbon Particles Observed in the Arctic Based on Cluster Analysis |
title_fullStr |
Airmass Analysis of Size-Resolved Black Carbon Particles Observed in the Arctic Based on Cluster Analysis |
title_full_unstemmed |
Airmass Analysis of Size-Resolved Black Carbon Particles Observed in the Arctic Based on Cluster Analysis |
title_sort |
airmass analysis of size-resolved black carbon particles observed in the arctic based on cluster analysis |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2022 |
url |
https://doi.org/10.3390/atmos13050648 |
op_coverage |
agris |
long_lat |
ENVELOPE(160.000,160.000,56.000,56.000) |
geographic |
Arctic Svalbard Kamchatka Peninsula |
geographic_facet |
Arctic Svalbard Kamchatka Peninsula |
genre |
Arctic black carbon Kamchatka Kamchatka Peninsula Svalbard |
genre_facet |
Arctic black carbon Kamchatka Kamchatka Peninsula Svalbard |
op_source |
Atmosphere; Volume 13; Issue 5; Pages: 648 |
op_relation |
https://dx.doi.org/10.3390/atmos13050648 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/atmos13050648 |
container_title |
Atmosphere |
container_volume |
13 |
container_issue |
5 |
container_start_page |
648 |
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1774714619397406720 |