Characterization of distinct Arctic aerosol accumulation modes and their sources

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Characterization of distinct Arctic aerosol accumulation modes and their sources. / Lange, R.; Dall'Osto, M.; Skov, H.; Nojgaard, J. K.; Nielsen, I. E.; Beddows, D. C. S.; Simo, R.; Harrison, R. M.; Massling, A.

I: Atmospheric Environment, Bind 183, 06.2018, s. 1-10.

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

Harvard

Lange, R, Dall'Osto, M, Skov, H, Nojgaard, JK, Nielsen, IE, Beddows, DCS, Simo, R, Harrison, RM & Massling, A 2018, 'Characterization of distinct Arctic aerosol accumulation modes and their sources', Atmospheric Environment, bind 183, s. 1-10. https://doi.org/10.1016/j.atmosenv.2018.03.060

APA

Lange, R., Dall'Osto, M., Skov, H., Nojgaard, J. K., Nielsen, I. E., Beddows, D. C. S., Simo, R., Harrison, R. M., & Massling, A. (2018). Characterization of distinct Arctic aerosol accumulation modes and their sources. Atmospheric Environment, 183, 1-10. https://doi.org/10.1016/j.atmosenv.2018.03.060

CBE

Lange R, Dall'Osto M, Skov H, Nojgaard JK, Nielsen IE, Beddows DCS, Simo R, Harrison RM, Massling A. 2018. Characterization of distinct Arctic aerosol accumulation modes and their sources. Atmospheric Environment. 183:1-10. https://doi.org/10.1016/j.atmosenv.2018.03.060

MLA

Vancouver

Author

Lange, R. ; Dall'Osto, M. ; Skov, H. ; Nojgaard, J. K. ; Nielsen, I. E. ; Beddows, D. C. S. ; Simo, R. ; Harrison, R. M. ; Massling, A. / Characterization of distinct Arctic aerosol accumulation modes and their sources. I: Atmospheric Environment. 2018 ; Bind 183. s. 1-10.

Bibtex

@article{6454f9bee25f41b2b3f44b845e9d6646,
title = "Characterization of distinct Arctic aerosol accumulation modes and their sources",
abstract = "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.",
keywords = "Arctic aerosol, Cluster analysis, Accumulation mode, CCN, Biogenic aerosol, CLOUD CONDENSATION NUCLEI, PARTICLE-SIZE SPECTROMETERS, ATMOSPHERIC BLACK CARBON, DROPLET ACTIVATION, MASS-SPECTROMETER, SOURCE APPORTIONMENT, NORTHEAST GREENLAND, ORGANIC AEROSOLS, STATION NORD, CCN ACTIVITY",
author = "R. Lange and M. Dall'Osto and H. Skov and Nojgaard, {J. K.} and Nielsen, {I. E.} and Beddows, {D. C. S.} and R. Simo and Harrison, {R. M.} and A. Massling",
year = "2018",
month = jun,
doi = "10.1016/j.atmosenv.2018.03.060",
language = "English",
volume = "183",
pages = "1--10",
journal = "Atmospheric Environment",
issn = "1352-2310",
publisher = "Pergamon Press",

}

RIS

TY - JOUR

T1 - Characterization of distinct Arctic aerosol accumulation modes and their sources

AU - Lange, R.

AU - Dall'Osto, M.

AU - Skov, H.

AU - Nojgaard, J. K.

AU - Nielsen, I. E.

AU - Beddows, D. C. S.

AU - Simo, R.

AU - Harrison, R. M.

AU - Massling, A.

PY - 2018/6

Y1 - 2018/6

N2 - 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.

AB - 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.

KW - Arctic aerosol

KW - Cluster analysis

KW - Accumulation mode

KW - CCN

KW - Biogenic aerosol

KW - CLOUD CONDENSATION NUCLEI

KW - PARTICLE-SIZE SPECTROMETERS

KW - ATMOSPHERIC BLACK CARBON

KW - DROPLET ACTIVATION

KW - MASS-SPECTROMETER

KW - SOURCE APPORTIONMENT

KW - NORTHEAST GREENLAND

KW - ORGANIC AEROSOLS

KW - STATION NORD

KW - CCN ACTIVITY

U2 - 10.1016/j.atmosenv.2018.03.060

DO - 10.1016/j.atmosenv.2018.03.060

M3 - Journal article

VL - 183

SP - 1

EP - 10

JO - Atmospheric Environment

JF - Atmospheric Environment

SN - 1352-2310

ER -