Characterization of distinct Arctic aerosol accumulation modes and their sources
10 pages, 4 figures, 1 table, supplementary data https://doi.org/10.1016/j.atmosenv.2018.03.060 In this work we use cluster analysis of long term particle size distribution data to expand an array of different shorter term atmospheric measurements, thereby gaining insights into longer term patterns...
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ftcsic:oai:digital.csic.es:10261/167331 2024-02-11T10:00:54+01:00 Characterization of distinct Arctic aerosol accumulation modes and their sources Lange, R. Dall'Osto, Manuel Skov, Henrik Nøjgaard, Jacob Klenø Nielsen, I.E. Beddows, D.C.S. Simó, Rafel Harrison, Roy M. Massling, Andreas Ministerio de Economía y Competitividad (España) European Commission Natural Environment Research Council (UK) Danish Environmental Protection Agency Nordic Centre of Excellence (Norway) Villum Fonden 2018-06 http://hdl.handle.net/10261/167331 https://doi.org/10.1016/j.atmosenv.2018.03.060 https://doi.org/10.13039/501100000270 https://doi.org/10.13039/501100000780 https://doi.org/10.13039/501100003329 https://doi.org/10.13039/100008398 unknown Elsevier #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CGL2013-49020-R https://doi.org/10.1016/j.atmosenv.2018.03.060 Sí issn: 1352-2310 e-issn: 1873-2844 Atmospheric Environment 183: 1-10 (2018) http://hdl.handle.net/10261/167331 doi:10.1016/j.atmosenv.2018.03.060 http://dx.doi.org/10.13039/501100000270 http://dx.doi.org/10.13039/501100000780 http://dx.doi.org/10.13039/501100003329 http://dx.doi.org/10.13039/100008398 open Biogenic aerosol Accumulation mode CCN Cluster analysis Arctic aerosol artículo http://purl.org/coar/resource_type/c_6501 2018 ftcsic https://doi.org/10.1016/j.atmosenv.2018.03.06010.13039/50110000027010.13039/50110000078010.13039/50110000332910.13039/100008398 2024-01-16T10:31:40Z 10 pages, 4 figures, 1 table, supplementary data https://doi.org/10.1016/j.atmosenv.2018.03.060 In this work we use cluster analysis of long term particle size distribution data to expand an array of different shorter term atmospheric measurements, thereby gaining insights into longer term patterns and properties of Arctic aerosol. Measurements of aerosol number size distributions (9–915 nm) were conducted at Villum Research Station (VRS), Station Nord in North Greenland during a 5 year record (2012–2016). Alongside this, measurements of aerosol composition, meteorological parameters, gaseous compounds and cloud condensation nuclei (CCN) activity were performed during different shorter occasions. K-means clustering analysis of particle number size distributions on daily basis identified several clusters. Clusters of accumulation mode aerosols (main size modes > 100 nm) accounted for 56% of the total aerosol during the sampling period (89–91% during February–April, 1–3% during June–August). By association to chemical composition, cloud condensation nuclei properties, and meteorological variables, three typical accumulation mode aerosol clusters were identified: Haze (32% of the time), Bimodal (14%) and Aged (6%). In brief: (1) Haze accumulation mode aerosol shows a single mode at 150 nm, peaking in February–April, with highest loadings of sulfate and black carbon concentrations. (2) Accumulation mode Bimodal aerosol shows two modes, at 38 nm and 150 nm, peaking in June–August, with the highest ratio of organics to sulfate concentrations. (3) Aged accumulation mode aerosol shows a single mode at 213 nm, peaking in September–October and is associated with cloudy and humid weather conditions during autumn. The three aerosol clusters were considered alongside CCN concentrations. We suggest that organic compounds, that are likely marine biogenic in nature, greatly influence the Bimodal cluster and contribute significantly to its CCN activity. This stresses the importance of better characterizing the marine ... Article in Journal/Newspaper Arctic black carbon Greenland North Greenland Digital.CSIC (Spanish National Research Council) Arctic Greenland Station Nord ENVELOPE(-16.663,-16.663,81.599,81.599) Atmospheric Environment 183 1 10 |
institution |
Open Polar |
collection |
Digital.CSIC (Spanish National Research Council) |
op_collection_id |
ftcsic |
language |
unknown |
topic |
Biogenic aerosol Accumulation mode CCN Cluster analysis Arctic aerosol |
spellingShingle |
Biogenic aerosol Accumulation mode CCN Cluster analysis Arctic aerosol Lange, R. Dall'Osto, Manuel Skov, Henrik Nøjgaard, Jacob Klenø Nielsen, I.E. Beddows, D.C.S. Simó, Rafel Harrison, Roy M. Massling, Andreas Characterization of distinct Arctic aerosol accumulation modes and their sources |
topic_facet |
Biogenic aerosol Accumulation mode CCN Cluster analysis Arctic aerosol |
description |
10 pages, 4 figures, 1 table, supplementary data https://doi.org/10.1016/j.atmosenv.2018.03.060 In this work we use cluster analysis of long term particle size distribution data to expand an array of different shorter term atmospheric measurements, thereby gaining insights into longer term patterns and properties of Arctic aerosol. Measurements of aerosol number size distributions (9–915 nm) were conducted at Villum Research Station (VRS), Station Nord in North Greenland during a 5 year record (2012–2016). Alongside this, measurements of aerosol composition, meteorological parameters, gaseous compounds and cloud condensation nuclei (CCN) activity were performed during different shorter occasions. K-means clustering analysis of particle number size distributions on daily basis identified several clusters. Clusters of accumulation mode aerosols (main size modes > 100 nm) accounted for 56% of the total aerosol during the sampling period (89–91% during February–April, 1–3% during June–August). By association to chemical composition, cloud condensation nuclei properties, and meteorological variables, three typical accumulation mode aerosol clusters were identified: Haze (32% of the time), Bimodal (14%) and Aged (6%). In brief: (1) Haze accumulation mode aerosol shows a single mode at 150 nm, peaking in February–April, with highest loadings of sulfate and black carbon concentrations. (2) Accumulation mode Bimodal aerosol shows two modes, at 38 nm and 150 nm, peaking in June–August, with the highest ratio of organics to sulfate concentrations. (3) Aged accumulation mode aerosol shows a single mode at 213 nm, peaking in September–October and is associated with cloudy and humid weather conditions during autumn. The three aerosol clusters were considered alongside CCN concentrations. We suggest that organic compounds, that are likely marine biogenic in nature, greatly influence the Bimodal cluster and contribute significantly to its CCN activity. This stresses the importance of better characterizing the marine ... |
author2 |
Ministerio de Economía y Competitividad (España) European Commission Natural Environment Research Council (UK) Danish Environmental Protection Agency Nordic Centre of Excellence (Norway) Villum Fonden |
format |
Article in Journal/Newspaper |
author |
Lange, R. Dall'Osto, Manuel Skov, Henrik Nøjgaard, Jacob Klenø Nielsen, I.E. Beddows, D.C.S. Simó, Rafel Harrison, Roy M. Massling, Andreas |
author_facet |
Lange, R. Dall'Osto, Manuel Skov, Henrik Nøjgaard, Jacob Klenø Nielsen, I.E. Beddows, D.C.S. Simó, Rafel Harrison, Roy M. Massling, Andreas |
author_sort |
Lange, R. |
title |
Characterization of distinct Arctic aerosol accumulation modes and their sources |
title_short |
Characterization of distinct Arctic aerosol accumulation modes and their sources |
title_full |
Characterization of distinct Arctic aerosol accumulation modes and their sources |
title_fullStr |
Characterization of distinct Arctic aerosol accumulation modes and their sources |
title_full_unstemmed |
Characterization of distinct Arctic aerosol accumulation modes and their sources |
title_sort |
characterization of distinct arctic aerosol accumulation modes and their sources |
publisher |
Elsevier |
publishDate |
2018 |
url |
http://hdl.handle.net/10261/167331 https://doi.org/10.1016/j.atmosenv.2018.03.060 https://doi.org/10.13039/501100000270 https://doi.org/10.13039/501100000780 https://doi.org/10.13039/501100003329 https://doi.org/10.13039/100008398 |
long_lat |
ENVELOPE(-16.663,-16.663,81.599,81.599) |
geographic |
Arctic Greenland Station Nord |
geographic_facet |
Arctic Greenland Station Nord |
genre |
Arctic black carbon Greenland North Greenland |
genre_facet |
Arctic black carbon Greenland North Greenland |
op_relation |
#PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CGL2013-49020-R https://doi.org/10.1016/j.atmosenv.2018.03.060 Sí issn: 1352-2310 e-issn: 1873-2844 Atmospheric Environment 183: 1-10 (2018) http://hdl.handle.net/10261/167331 doi:10.1016/j.atmosenv.2018.03.060 http://dx.doi.org/10.13039/501100000270 http://dx.doi.org/10.13039/501100000780 http://dx.doi.org/10.13039/501100003329 http://dx.doi.org/10.13039/100008398 |
op_rights |
open |
op_doi |
https://doi.org/10.1016/j.atmosenv.2018.03.06010.13039/50110000027010.13039/50110000078010.13039/50110000332910.13039/100008398 |
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Atmospheric Environment |
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183 |
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10 |
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