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
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Elsevier
2018-06
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Subjects: | Biogenic aerosol, Accumulation mode, CCN, Cluster analysis, Arctic aerosol, |
Online Access: | http://hdl.handle.net/10261/167331 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 |
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Biogenic aerosol Accumulation mode CCN Cluster analysis Arctic aerosol Biogenic aerosol Accumulation mode CCN Cluster analysis Arctic aerosol |
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Biogenic aerosol Accumulation mode CCN Cluster analysis Arctic aerosol 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 |
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10 pages, 4 figures, 1 table, supplementary data https://doi.org/10.1016/j.atmosenv.2018.03.060 |
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Ministerio de Economía y Competitividad (España) |
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Ministerio de Economía y Competitividad (España) Lange, R. Dall'Osto, Manuel Skov, Henrik Nøjgaard, Jacob Klenø Nielsen, I.E. Beddows, D.C.S. Simó, Rafel Harrison, Roy M. Massling, Andreas |
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Biogenic aerosol Accumulation mode CCN Cluster analysis Arctic aerosol |
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Lange, R. Dall'Osto, Manuel Skov, Henrik Nøjgaard, Jacob Klenø Nielsen, I.E. Beddows, D.C.S. Simó, Rafel Harrison, Roy M. Massling, Andreas |
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Lange, R. |
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Characterization of distinct Arctic aerosol accumulation modes and their sources |
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Characterization of distinct Arctic aerosol accumulation modes and their sources |
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Characterization of distinct Arctic aerosol accumulation modes and their sources |
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Characterization of distinct Arctic aerosol accumulation modes and their sources |
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Characterization of distinct Arctic aerosol accumulation modes and their sources |
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characterization of distinct arctic aerosol accumulation modes and their sources |
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Elsevier |
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2018-06 |
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http://hdl.handle.net/10261/167331 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 |
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AT langer characterizationofdistinctarcticaerosolaccumulationmodesandtheirsources AT dallostomanuel characterizationofdistinctarcticaerosolaccumulationmodesandtheirsources AT skovhenrik characterizationofdistinctarcticaerosolaccumulationmodesandtheirsources AT nøjgaardjacobklenø characterizationofdistinctarcticaerosolaccumulationmodesandtheirsources AT nielsenie characterizationofdistinctarcticaerosolaccumulationmodesandtheirsources AT beddowsdcs characterizationofdistinctarcticaerosolaccumulationmodesandtheirsources AT simorafel characterizationofdistinctarcticaerosolaccumulationmodesandtheirsources AT harrisonroym characterizationofdistinctarcticaerosolaccumulationmodesandtheirsources AT masslingandreas characterizationofdistinctarcticaerosolaccumulationmodesandtheirsources |
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dig-icm-es-10261-1673312022-09-19T09:04:56Z 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 Biogenic aerosol Accumulation mode CCN Cluster analysis Arctic aerosol 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 ecosystem and the aerosol-mediated climate effects in the Arctic The study was supported by the Spanish Ministry of Economy through project BIO-NUC (CGL2013-49020-R) and the Ramon y Cajal fellowship (RYC-2012-11922), and by the EU though the FP7-PEOPLE-2013-IOF programme (Project number 624680, MANU – Marine Aerosol NUcleations). The National Centre for Atmospheric Science NCAS Birmingham group is funded by the UK Natural Environment Research Council. [...] This work was financially supported by the Danish Environmental Protection Agency with means from the MIKA/DANCEA funds for Environmental Support to the Arctic Region, which is part of the Danish contribution to “Arctic Monitoring and Assessment Program” (AMAP) and the Danish research project “Short lived Climate Forcers” (SLCF), and the Danish Council for Independent Research (project NUMEN, DFF-FTP-4005-00485B). The findings and conclusions presented here do not necessarily reflect the views of the Agency. This work was also supported by the Nordic Centre of Excellence (NCoE) Cryosphere-Atmosphere Interactions in a Changing Arctic Climate (CRAICC). The Villum Foundation is acknowledged for funding the construction of Villum Research Station, Station Nord Peer Reviewed 2018-07-03T12:18:38Z 2018-07-03T12:18:38Z 2018-06 2018-07-03T12:18:38Z artículo http://purl.org/coar/resource_type/c_6501 issn: 1352-2310 e-issn: 1873-2844 Atmospheric Environment 183: 1-10 (2018) http://hdl.handle.net/10261/167331 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 #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 open Elsevier |