English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/211362
Share/Impact:
Statistics
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE
Exportar a otros formatos:

Title

On the annual variability of Antarctic aerosol size distributions at Halley Research Station

AuthorsLachlan-Cope, Thomas; Beddows, D.C.S.; Brough, N.; Jones, A.E.; Harrison, Roy M.; Lupi, Angelo; Jun Yoon, Young; Virkkula, Aki; Dall'Osto, Manuel
Issue DateApr-2020
PublisherEuropean Geosciences Union
CitationAtmospheric Chemistry and Physics 20: 4461–4476 (2020)
AbstractThe Southern Ocean and Antarctic region currently best represent one of the few places left on our planet with conditions similar to the preindustrial age. Currently, climate models have a low ability to simulate conditions forming the aerosol baseline; a major uncertainty comes from the lack of understanding of aerosol size distributions and their dynamics. Contrasting studies stress that primary sea salt aerosol can contribute significantly to the aerosol population, challenging the concept of climate biogenic regulation by new particle formation (NPF) from dimethyl sulfide marine emissions. We present a statistical cluster analysis of the physical characteristics of particle size distributions (PSDs) collected at Halley (Antarctica) for the year 2015 (89 % data coverage; 6–209 nm size range; daily size resolution). By applying the Hartigan–Wong k-mean method we find eight clusters describing the entire aerosol population. Three clusters show pristine average low particle number concentrations (< 121–179 cm−3) with three main modes (30, 75–95 and 135–160 nm) and represent 57 % of the annual PSD (up to 89 %–100 % during winter and 34 %–65 % during summer based on monthly averages). Nucleation and Aitken mode PSD clusters dominate summer months (September–January, 59 %–90 %), whereas a clear bimodal distribution (43 and 134 nm, respectively; Hoppel minimum at mode 75 nm) is seen only during the December–April period (6 %–21 %). Major findings of the current work include: (1) NPF and growth events originate from both the sea ice marginal zone and the Antarctic plateau, strongly suggesting multiple vertical origins, including the marine boundary layer and free troposphere; (2) very low particle number concentrations are detected for a substantial part of the year (57 %), including summer (34 %–65 %), suggesting that the strong annual aerosol concentration cycle is driven by a short temporal interval of strong NPF events; (3) a unique pristine aerosol cluster is seen with a bimodal size distribution (75 and 160 nm, respectively), strongly associated with high wind speed and possibly associated with blowing snow and sea spray sea salt, dominating the winter aerosol population (34 %–54 %). A brief comparison with two other stations (Dome C – Concordia – and King Sejong Station) during the year 2015 (240 d overlap) shows that the dynamics of aerosol number concentrations and distributions are more complex than the simple sulfate–sea-spray binary combination, and it is likely that an array of additional chemical components and processes drive the aerosol population. A conceptual illustration is proposed indicating the various atmospheric processes related to the Antarctic aerosols, with particular emphasis on the origin of new particle formation and growth
Description16 pages, 8 figures, supplement https://doi.org/10.5194/acp-20-4461-2020
Publisher version (URL)https://doi.org/10.5194/acp-20-4461-2020
URIhttp://hdl.handle.net/10261/211362
DOI10.5194/acp-20-4461-2020
Identifiersdoi: 10.5194/acp-20-4461-2020
issn: 1680-7316
e-issn: 1680-7324
Appears in Collections:(ICM) Artículos
Files in This Item:
File Description SizeFormat 
Lachlan_et_al_2020.pdf5,05 MBAdobe PDFThumbnail
View/Open
Lachlan_et_al_2020_suppl.pdf1,99 MBAdobe PDFThumbnail
View/Open
Show full item record
Review this work
 

Related articles:


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.