Pan-Arctic aerosol number size distributions: seasonality and transport patterns

The Arctic environment has an amplified response to global climatic change. It is sensitive to human activities that mostly take place elsewhere. For this study, a multi-year set of observed aerosol number size distributions in the diameter range of 10 to 500 nm from five sites around the Arctic Oce...

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Published in:Atmospheric Chemistry and Physics
Main Authors: Freud, Eyal, Krejci, Radovan, Tunved, Peter, Leaitch, Richard, Nguyen, Quynh T., Massling, Andreas, Skov, Henrik, Barrie, Leonard
Format: Text
Language:English
Published: 2018
Subjects:
Online Access:https://doi.org/10.5194/acp-17-8101-2017
https://www.atmos-chem-phys.net/17/8101/2017/
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spelling ftcopernicus:oai:publications.copernicus.org:acp57003 2023-05-15T14:35:36+02:00 Pan-Arctic aerosol number size distributions: seasonality and transport patterns Freud, Eyal Krejci, Radovan Tunved, Peter Leaitch, Richard Nguyen, Quynh T. Massling, Andreas Skov, Henrik Barrie, Leonard 2018-09-09 application/pdf https://doi.org/10.5194/acp-17-8101-2017 https://www.atmos-chem-phys.net/17/8101/2017/ eng eng doi:10.5194/acp-17-8101-2017 https://www.atmos-chem-phys.net/17/8101/2017/ eISSN: 1680-7324 Text 2018 ftcopernicus https://doi.org/10.5194/acp-17-8101-2017 2019-12-24T09:51:19Z The Arctic environment has an amplified response to global climatic change. It is sensitive to human activities that mostly take place elsewhere. For this study, a multi-year set of observed aerosol number size distributions in the diameter range of 10 to 500 nm from five sites around the Arctic Ocean (Alert, Villum Research Station – Station Nord, Zeppelin, Tiksi and Barrow) was assembled and analysed. A cluster analysis of the aerosol number size distributions revealed four distinct distributions. Together with Lagrangian air parcel back-trajectories, they were used to link the observed aerosol number size distributions with a variety of transport regimes. This analysis yields insight into aerosol dynamics, transport and removal processes, on both an intra- and an inter-monthly scale. For instance, the relative occurrence of aerosol number size distributions that indicate new particle formation (NPF) event is near zero during the dark months, increases gradually to ∼ 40 % from spring to summer, and then collapses in autumn. Also, the likelihood of Arctic haze aerosols is minimal in summer and peaks in April at all sites. The residence time of accumulation-mode particles in the Arctic troposphere is typically long enough to allow tracking them back to their source regions. Air flow that passes at low altitude over central Siberia and western Russia is associated with relatively high concentrations of accumulation-mode particles ( N acc ) at all five sites – often above 150 cm −3 . There are also indications of air descending into the Arctic boundary layer after transport from lower latitudes. The analysis of the back-trajectories together with the meteorological fields along them indicates that the main driver of the Arctic annual cycle of N acc , on the larger scale, is when atmospheric transport covers the source regions for these particles in the 10-day period preceding the observations in the Arctic. The scavenging of these particles by precipitation is shown to be important on a regional scale and it is most active in summer. Cloud processing is an additional factor that enhances the N acc annual cycle. There are some consistent differences between the sites that are beyond the year-to-year variability. They are the result of differences in the proximity to the aerosol source regions and to the Arctic Ocean sea-ice edge, as well as in the exposure to free-tropospheric air and in precipitation patterns – to mention a few. Hence, for most purposes, aerosol observations from a single Arctic site cannot represent the entire Arctic region. Therefore, the results presented here are a powerful observational benchmark for evaluation of detailed climate and air chemistry modelling studies of aerosols throughout the vast Arctic region. Text Arctic Arctic Ocean Sea ice Tiksi Siberia Copernicus Publications: E-Journals Arctic Arctic Ocean Station Nord ENVELOPE(-16.663,-16.663,81.599,81.599) Tiksi ENVELOPE(128.867,128.867,71.633,71.633) Atmospheric Chemistry and Physics 17 13 8101 8128
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description The Arctic environment has an amplified response to global climatic change. It is sensitive to human activities that mostly take place elsewhere. For this study, a multi-year set of observed aerosol number size distributions in the diameter range of 10 to 500 nm from five sites around the Arctic Ocean (Alert, Villum Research Station – Station Nord, Zeppelin, Tiksi and Barrow) was assembled and analysed. A cluster analysis of the aerosol number size distributions revealed four distinct distributions. Together with Lagrangian air parcel back-trajectories, they were used to link the observed aerosol number size distributions with a variety of transport regimes. This analysis yields insight into aerosol dynamics, transport and removal processes, on both an intra- and an inter-monthly scale. For instance, the relative occurrence of aerosol number size distributions that indicate new particle formation (NPF) event is near zero during the dark months, increases gradually to ∼ 40 % from spring to summer, and then collapses in autumn. Also, the likelihood of Arctic haze aerosols is minimal in summer and peaks in April at all sites. The residence time of accumulation-mode particles in the Arctic troposphere is typically long enough to allow tracking them back to their source regions. Air flow that passes at low altitude over central Siberia and western Russia is associated with relatively high concentrations of accumulation-mode particles ( N acc ) at all five sites – often above 150 cm −3 . There are also indications of air descending into the Arctic boundary layer after transport from lower latitudes. The analysis of the back-trajectories together with the meteorological fields along them indicates that the main driver of the Arctic annual cycle of N acc , on the larger scale, is when atmospheric transport covers the source regions for these particles in the 10-day period preceding the observations in the Arctic. The scavenging of these particles by precipitation is shown to be important on a regional scale and it is most active in summer. Cloud processing is an additional factor that enhances the N acc annual cycle. There are some consistent differences between the sites that are beyond the year-to-year variability. They are the result of differences in the proximity to the aerosol source regions and to the Arctic Ocean sea-ice edge, as well as in the exposure to free-tropospheric air and in precipitation patterns – to mention a few. Hence, for most purposes, aerosol observations from a single Arctic site cannot represent the entire Arctic region. Therefore, the results presented here are a powerful observational benchmark for evaluation of detailed climate and air chemistry modelling studies of aerosols throughout the vast Arctic region.
format Text
author Freud, Eyal
Krejci, Radovan
Tunved, Peter
Leaitch, Richard
Nguyen, Quynh T.
Massling, Andreas
Skov, Henrik
Barrie, Leonard
spellingShingle Freud, Eyal
Krejci, Radovan
Tunved, Peter
Leaitch, Richard
Nguyen, Quynh T.
Massling, Andreas
Skov, Henrik
Barrie, Leonard
Pan-Arctic aerosol number size distributions: seasonality and transport patterns
author_facet Freud, Eyal
Krejci, Radovan
Tunved, Peter
Leaitch, Richard
Nguyen, Quynh T.
Massling, Andreas
Skov, Henrik
Barrie, Leonard
author_sort Freud, Eyal
title Pan-Arctic aerosol number size distributions: seasonality and transport patterns
title_short Pan-Arctic aerosol number size distributions: seasonality and transport patterns
title_full Pan-Arctic aerosol number size distributions: seasonality and transport patterns
title_fullStr Pan-Arctic aerosol number size distributions: seasonality and transport patterns
title_full_unstemmed Pan-Arctic aerosol number size distributions: seasonality and transport patterns
title_sort pan-arctic aerosol number size distributions: seasonality and transport patterns
publishDate 2018
url https://doi.org/10.5194/acp-17-8101-2017
https://www.atmos-chem-phys.net/17/8101/2017/
long_lat ENVELOPE(-16.663,-16.663,81.599,81.599)
ENVELOPE(128.867,128.867,71.633,71.633)
geographic Arctic
Arctic Ocean
Station Nord
Tiksi
geographic_facet Arctic
Arctic Ocean
Station Nord
Tiksi
genre Arctic
Arctic Ocean
Sea ice
Tiksi
Siberia
genre_facet Arctic
Arctic Ocean
Sea ice
Tiksi
Siberia
op_source eISSN: 1680-7324
op_relation doi:10.5194/acp-17-8101-2017
https://www.atmos-chem-phys.net/17/8101/2017/
op_doi https://doi.org/10.5194/acp-17-8101-2017
container_title Atmospheric Chemistry and Physics
container_volume 17
container_issue 13
container_start_page 8101
op_container_end_page 8128
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