Annual aerosol chemical composition retrieved from an aerosol mass spectrometer in the central Arctic

The Arctic environment is transforming rapidly due to climate change, which induces several feedback processes such as retreating sea ice, changing atmospheric transport patterns and cloud formation. In addition, more local pollution due to shipping and resource extraction occurs, affecting the atmo...

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Main Authors: Heutte, Benjamin, Dada, Lubna, Angot, Hélène, Dällenbach, Kaspar R., Gang, Chen, Beck, Ivo Fabio, Quéléver, Lauriane, Laurila, Tiia, Jokinen, Tuija
Format: Text
Language:unknown
Published: 2023
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Online Access:http://infoscience.epfl.ch/record/299535
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spelling ftinfoscience:oai:infoscience.epfl.ch:299535 2023-05-15T14:36:26+02:00 Annual aerosol chemical composition retrieved from an aerosol mass spectrometer in the central Arctic Heutte, Benjamin Dada, Lubna Angot, Hélène Dällenbach, Kaspar R. Gang, Chen Beck, Ivo Fabio Quéléver, Lauriane Laurila, Tiia Jokinen, Tuija 2023-01-17T09:46:47Z http://infoscience.epfl.ch/record/299535 unknown http://infoscience.epfl.ch/record/299535 http://infoscience.epfl.ch/record/299535 Text 2023 ftinfoscience 2023-03-26T23:41:12Z The Arctic environment is transforming rapidly due to climate change, which induces several feedback processes such as retreating sea ice, changing atmospheric transport patterns and cloud formation. In addition, more local pollution due to shipping and resource extraction occurs, affecting the atmospheric chemical composition and therefore the radiation budget of the Arctic. While the overall seasonality of aerosol mass concentrations and chemical compositions at Arctic ground-based surface observatories is relatively well known, short extreme events such as storms, warm air mass intrusions or intense pollution spikes from shipping have been less studied, mostly due to a lack of comprehensive, high time-resolution chemical composition datasets. This is particularly true for the central Arctic. Here, we present the annual cycle in aerosol chemical composition retrieved with a High-Resolution Time-of-Flight Aerosol Mass Spectrometer (HR-ToF-AMS). Fresh pollution from local sources is detected using the cosine similarity of the dataset with a chosen reference polluted spectrum. The chemical composition of such polluted periods, used as a proxy for the future Arctic, and other extreme events (i.e., warm air mass intrusions) is then compared to cleaner periods and seasonal means. Finally, preliminary results of source apportionment using Positive Matrix Factorization (PMF) during spring are also presented. Text Arctic Climate change Sea ice EPFL Infoscience (Ecole Polytechnique Fédérale Lausanne) Arctic
institution Open Polar
collection EPFL Infoscience (Ecole Polytechnique Fédérale Lausanne)
op_collection_id ftinfoscience
language unknown
description The Arctic environment is transforming rapidly due to climate change, which induces several feedback processes such as retreating sea ice, changing atmospheric transport patterns and cloud formation. In addition, more local pollution due to shipping and resource extraction occurs, affecting the atmospheric chemical composition and therefore the radiation budget of the Arctic. While the overall seasonality of aerosol mass concentrations and chemical compositions at Arctic ground-based surface observatories is relatively well known, short extreme events such as storms, warm air mass intrusions or intense pollution spikes from shipping have been less studied, mostly due to a lack of comprehensive, high time-resolution chemical composition datasets. This is particularly true for the central Arctic. Here, we present the annual cycle in aerosol chemical composition retrieved with a High-Resolution Time-of-Flight Aerosol Mass Spectrometer (HR-ToF-AMS). Fresh pollution from local sources is detected using the cosine similarity of the dataset with a chosen reference polluted spectrum. The chemical composition of such polluted periods, used as a proxy for the future Arctic, and other extreme events (i.e., warm air mass intrusions) is then compared to cleaner periods and seasonal means. Finally, preliminary results of source apportionment using Positive Matrix Factorization (PMF) during spring are also presented.
format Text
author Heutte, Benjamin
Dada, Lubna
Angot, Hélène
Dällenbach, Kaspar R.
Gang, Chen
Beck, Ivo Fabio
Quéléver, Lauriane
Laurila, Tiia
Jokinen, Tuija
spellingShingle Heutte, Benjamin
Dada, Lubna
Angot, Hélène
Dällenbach, Kaspar R.
Gang, Chen
Beck, Ivo Fabio
Quéléver, Lauriane
Laurila, Tiia
Jokinen, Tuija
Annual aerosol chemical composition retrieved from an aerosol mass spectrometer in the central Arctic
author_facet Heutte, Benjamin
Dada, Lubna
Angot, Hélène
Dällenbach, Kaspar R.
Gang, Chen
Beck, Ivo Fabio
Quéléver, Lauriane
Laurila, Tiia
Jokinen, Tuija
author_sort Heutte, Benjamin
title Annual aerosol chemical composition retrieved from an aerosol mass spectrometer in the central Arctic
title_short Annual aerosol chemical composition retrieved from an aerosol mass spectrometer in the central Arctic
title_full Annual aerosol chemical composition retrieved from an aerosol mass spectrometer in the central Arctic
title_fullStr Annual aerosol chemical composition retrieved from an aerosol mass spectrometer in the central Arctic
title_full_unstemmed Annual aerosol chemical composition retrieved from an aerosol mass spectrometer in the central Arctic
title_sort annual aerosol chemical composition retrieved from an aerosol mass spectrometer in the central arctic
publishDate 2023
url http://infoscience.epfl.ch/record/299535
geographic Arctic
geographic_facet Arctic
genre Arctic
Climate change
Sea ice
genre_facet Arctic
Climate change
Sea ice
op_source http://infoscience.epfl.ch/record/299535
op_relation http://infoscience.epfl.ch/record/299535
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