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...
Published in: | Atmospheric Chemistry and Physics |
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Main Authors: | , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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2017
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Online Access: | https://pure.au.dk/portal/da/publications/panarctic-aerosol-number-size-distributions(19f4bb61-ecae-47cd-bed3-c5e4bd46a6a0).html https://doi.org/10.5194/acp-17-8101-2017 https://pure.au.dk/ws/files/117249897/pan.pdf |
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ftuniaarhuspubl:oai:pure.atira.dk:publications/19f4bb61-ecae-47cd-bed3-c5e4bd46a6a0 |
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record_format |
openpolar |
institution |
Open Polar |
collection |
Aarhus University: Research |
op_collection_id |
ftuniaarhuspubl |
language |
English |
topic |
MARINE BOUNDARY-LAYER NY-ALESUND ATMOSPHERIC AEROSOL CLUSTER-ANALYSIS AIR-POLLUTION BLACK CARBON NORTHEAST GREENLAND PARTICLE FORMATION POLAR SUNRISE MID-LATITUDES |
spellingShingle |
MARINE BOUNDARY-LAYER NY-ALESUND ATMOSPHERIC AEROSOL CLUSTER-ANALYSIS AIR-POLLUTION BLACK CARBON NORTHEAST GREENLAND PARTICLE FORMATION POLAR SUNRISE MID-LATITUDES 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 |
topic_facet |
MARINE BOUNDARY-LAYER NY-ALESUND ATMOSPHERIC AEROSOL CLUSTER-ANALYSIS AIR-POLLUTION BLACK CARBON NORTHEAST GREENLAND PARTICLE FORMATION POLAR SUNRISE MID-LATITUDES |
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 similar 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 |
Article in Journal/Newspaper |
author |
Freud, Eyal Krejci, Radovan Tunved, Peter Leaitch, Richard Nguyen, Quynh T. Massling, Andreas Skov, Henrik Barrie, Leonard |
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 |
2017 |
url |
https://pure.au.dk/portal/da/publications/panarctic-aerosol-number-size-distributions(19f4bb61-ecae-47cd-bed3-c5e4bd46a6a0).html https://doi.org/10.5194/acp-17-8101-2017 https://pure.au.dk/ws/files/117249897/pan.pdf |
long_lat |
ENVELOPE(-16.663,-16.663,81.599,81.599) ENVELOPE(128.867,128.867,71.633,71.633) |
geographic |
Arctic Arctic Ocean Greenland Station Nord Tiksi |
geographic_facet |
Arctic Arctic Ocean Greenland Station Nord Tiksi |
genre |
Arctic Arctic Arctic Ocean black carbon Greenland Sea ice Tiksi Siberia |
genre_facet |
Arctic Arctic Arctic Ocean black carbon Greenland Sea ice Tiksi Siberia |
op_source |
Freud , E , Krejci , R , Tunved , P , Leaitch , R , Nguyen , Q T , Massling , A , Skov , H & Barrie , L 2017 , ' Pan-Arctic aerosol number size distributions : seasonality and transport patterns ' , Atmospheric Chemistry and Physics , vol. 17 , no. 13 , pp. 8101-8128 . https://doi.org/10.5194/acp-17-8101-2017 |
op_rights |
info:eu-repo/semantics/openAccess |
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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1766297669854035968 |
spelling |
ftuniaarhuspubl:oai:pure.atira.dk:publications/19f4bb61-ecae-47cd-bed3-c5e4bd46a6a0 2023-05-15T14:25:14+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 2017-07-04 application/pdf https://pure.au.dk/portal/da/publications/panarctic-aerosol-number-size-distributions(19f4bb61-ecae-47cd-bed3-c5e4bd46a6a0).html https://doi.org/10.5194/acp-17-8101-2017 https://pure.au.dk/ws/files/117249897/pan.pdf eng eng info:eu-repo/semantics/openAccess Freud , E , Krejci , R , Tunved , P , Leaitch , R , Nguyen , Q T , Massling , A , Skov , H & Barrie , L 2017 , ' Pan-Arctic aerosol number size distributions : seasonality and transport patterns ' , Atmospheric Chemistry and Physics , vol. 17 , no. 13 , pp. 8101-8128 . https://doi.org/10.5194/acp-17-8101-2017 MARINE BOUNDARY-LAYER NY-ALESUND ATMOSPHERIC AEROSOL CLUSTER-ANALYSIS AIR-POLLUTION BLACK CARBON NORTHEAST GREENLAND PARTICLE FORMATION POLAR SUNRISE MID-LATITUDES article 2017 ftuniaarhuspubl https://doi.org/10.5194/acp-17-8101-2017 2020-10-14T22:44:32Z 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 similar 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. Article in Journal/Newspaper Arctic Arctic Arctic Ocean black carbon Greenland Sea ice Tiksi Siberia Aarhus University: Research Arctic Arctic Ocean Greenland 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 |