Pan-Arctic seasonal cycles and long-term trends of aerosol properties from ten observatories

Even though the Arctic is remote, aerosol properties observed there are strongly influenced by anthropogenic emissions from outside the Arctic. This is particularly true for the so-called Arctic haze season (January through April). In summer (June through September), when atmospheric transport patte...

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Main Authors: Schmale, Julia, Sharma, Sangeeta, Decesari, Stefano, Pernov, Jakob, Massling, Andreas, Hansson, Hans-Christen, Salzen, Knut, Skov, Henrik, Andrews, Elisabeth, Quinn, Patricia K., Upchurch, Lucia M., Eleftheriadis, Konstantinos, Traversi, Rita
Format: Text
Language:English
Published: 2021
Subjects:
Online Access:https://doi.org/10.5194/acp-2021-756
https://acp.copernicus.org/preprints/acp-2021-756/
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description Even though the Arctic is remote, aerosol properties observed there are strongly influenced by anthropogenic emissions from outside the Arctic. This is particularly true for the so-called Arctic haze season (January through April). In summer (June through September), when atmospheric transport patterns change, and precipitation is more frequent, local Arctic, i.e. natural sources of aerosols and precursors, play an important role. Over the last decades, significant reductions in anthropogenic emissions have taken place. At the same time a large body of literature shows evidence that the Arctic is undergoing fundamental environmental changes due to climate forcing, leading to enhanced emissions by natural processes that may impact aerosol properties. In this study, we analyze nine aerosol chemical species and four particle optical properties from ten Arctic observatories (Alert, Gruvebadet, Kevo, Pallas, Summit, Thule, Tiksi, Barrow, Villum, Zeppelin) to understand changes in anthropogenic and natural aerosol contributions. Variables include equivalent black carbon, particulate sulfate, nitrate, ammonium, methanesulfonic acid, sodium, iron, calcium and potassium, as well as scattering and absorption coefficients, single scattering albedo and scattering Ångström exponent. First, annual cycles are investigated, which despite anthropogenic emission reductions still show the Arctic haze phenomenon. Second, long-term trends are studied using the Mann-Kendall Theil-Sen slope method. We find in total 28 significant trends over full station records, i.e. spanning more than a decade, compared to 17 significant decadal trends. The majority of significantly declining trends is from anthropogenic tracers and occurred during the haze period, driven by emission changes between 1990 and 2000. For the summer period, no uniform picture of trends has emerged. Twenty-one percent of trends, i.e. eleven out of 57, are significant, and of those five are positive and six are negative. Negative trends include not only anthropogenic tracers such as equivalent black carbon at Kevo, but also natural indicators such as methanesulfonic acid and non-sea salt calcium at Alert. Positive trends are observed for sulfate at Zeppelin and Gruvebadet. No clear evidence of a significant change in the natural aerosol contribution can be observed yet. However, testing the sensitivity of the Mann-Kendall Theil-Sen method, we find that monotonic changes of around 5 % per year in an aerosol property are needed to detect a significant trend within one decade. This highlights that long-term efforts well beyond a decade are needed to capture smaller changes. It is particularly important to understand the ongoing natural changes in the Arctic, where interannual variability can be high, such as with forest fire emissions and their influence on the aerosol population. To investigate the climate-change induced influence on the aerosol population and the resulting climate feedback, long-term observations of tracers more specific to natural sources are needed, as well as of particle microphysical properties such as size distributions, which can be used to identify changes in particle populations which are not well captured by mass-oriented methods such as bulk chemical composition.
format Text
author Schmale, Julia
Sharma, Sangeeta
Decesari, Stefano
Pernov, Jakob
Massling, Andreas
Hansson, Hans-Christen
Salzen, Knut
Skov, Henrik
Andrews, Elisabeth
Quinn, Patricia K.
Upchurch, Lucia M.
Eleftheriadis, Konstantinos
Traversi, Rita
spellingShingle Schmale, Julia
Sharma, Sangeeta
Decesari, Stefano
Pernov, Jakob
Massling, Andreas
Hansson, Hans-Christen
Salzen, Knut
Skov, Henrik
Andrews, Elisabeth
Quinn, Patricia K.
Upchurch, Lucia M.
Eleftheriadis, Konstantinos
Traversi, Rita
Pan-Arctic seasonal cycles and long-term trends of aerosol properties from ten observatories
author_facet Schmale, Julia
Sharma, Sangeeta
Decesari, Stefano
Pernov, Jakob
Massling, Andreas
Hansson, Hans-Christen
Salzen, Knut
Skov, Henrik
Andrews, Elisabeth
Quinn, Patricia K.
Upchurch, Lucia M.
Eleftheriadis, Konstantinos
Traversi, Rita
author_sort Schmale, Julia
title Pan-Arctic seasonal cycles and long-term trends of aerosol properties from ten observatories
title_short Pan-Arctic seasonal cycles and long-term trends of aerosol properties from ten observatories
title_full Pan-Arctic seasonal cycles and long-term trends of aerosol properties from ten observatories
title_fullStr Pan-Arctic seasonal cycles and long-term trends of aerosol properties from ten observatories
title_full_unstemmed Pan-Arctic seasonal cycles and long-term trends of aerosol properties from ten observatories
title_sort pan-arctic seasonal cycles and long-term trends of aerosol properties from ten observatories
publishDate 2021
url https://doi.org/10.5194/acp-2021-756
https://acp.copernicus.org/preprints/acp-2021-756/
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geographic Arctic
Kendall
Kevo
Tiksi
geographic_facet Arctic
Kendall
Kevo
Tiksi
genre albedo
Arctic
black carbon
Climate change
Tiksi
genre_facet albedo
Arctic
black carbon
Climate change
Tiksi
op_source eISSN: 1680-7324
op_relation doi:10.5194/acp-2021-756
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op_doi https://doi.org/10.5194/acp-2021-756
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spelling ftcopernicus:oai:publications.copernicus.org:acpd97513 2023-05-15T13:11:30+02:00 Pan-Arctic seasonal cycles and long-term trends of aerosol properties from ten observatories Schmale, Julia Sharma, Sangeeta Decesari, Stefano Pernov, Jakob Massling, Andreas Hansson, Hans-Christen Salzen, Knut Skov, Henrik Andrews, Elisabeth Quinn, Patricia K. Upchurch, Lucia M. Eleftheriadis, Konstantinos Traversi, Rita 2021-09-08 application/pdf https://doi.org/10.5194/acp-2021-756 https://acp.copernicus.org/preprints/acp-2021-756/ eng eng doi:10.5194/acp-2021-756 https://acp.copernicus.org/preprints/acp-2021-756/ eISSN: 1680-7324 Text 2021 ftcopernicus https://doi.org/10.5194/acp-2021-756 2021-09-13T16:22:27Z Even though the Arctic is remote, aerosol properties observed there are strongly influenced by anthropogenic emissions from outside the Arctic. This is particularly true for the so-called Arctic haze season (January through April). In summer (June through September), when atmospheric transport patterns change, and precipitation is more frequent, local Arctic, i.e. natural sources of aerosols and precursors, play an important role. Over the last decades, significant reductions in anthropogenic emissions have taken place. At the same time a large body of literature shows evidence that the Arctic is undergoing fundamental environmental changes due to climate forcing, leading to enhanced emissions by natural processes that may impact aerosol properties. In this study, we analyze nine aerosol chemical species and four particle optical properties from ten Arctic observatories (Alert, Gruvebadet, Kevo, Pallas, Summit, Thule, Tiksi, Barrow, Villum, Zeppelin) to understand changes in anthropogenic and natural aerosol contributions. Variables include equivalent black carbon, particulate sulfate, nitrate, ammonium, methanesulfonic acid, sodium, iron, calcium and potassium, as well as scattering and absorption coefficients, single scattering albedo and scattering Ångström exponent. First, annual cycles are investigated, which despite anthropogenic emission reductions still show the Arctic haze phenomenon. Second, long-term trends are studied using the Mann-Kendall Theil-Sen slope method. We find in total 28 significant trends over full station records, i.e. spanning more than a decade, compared to 17 significant decadal trends. The majority of significantly declining trends is from anthropogenic tracers and occurred during the haze period, driven by emission changes between 1990 and 2000. For the summer period, no uniform picture of trends has emerged. Twenty-one percent of trends, i.e. eleven out of 57, are significant, and of those five are positive and six are negative. Negative trends include not only anthropogenic tracers such as equivalent black carbon at Kevo, but also natural indicators such as methanesulfonic acid and non-sea salt calcium at Alert. Positive trends are observed for sulfate at Zeppelin and Gruvebadet. No clear evidence of a significant change in the natural aerosol contribution can be observed yet. However, testing the sensitivity of the Mann-Kendall Theil-Sen method, we find that monotonic changes of around 5 % per year in an aerosol property are needed to detect a significant trend within one decade. This highlights that long-term efforts well beyond a decade are needed to capture smaller changes. It is particularly important to understand the ongoing natural changes in the Arctic, where interannual variability can be high, such as with forest fire emissions and their influence on the aerosol population. To investigate the climate-change induced influence on the aerosol population and the resulting climate feedback, long-term observations of tracers more specific to natural sources are needed, as well as of particle microphysical properties such as size distributions, which can be used to identify changes in particle populations which are not well captured by mass-oriented methods such as bulk chemical composition. Text albedo Arctic black carbon Climate change Tiksi Copernicus Publications: E-Journals Arctic Kendall ENVELOPE(-59.828,-59.828,-63.497,-63.497) Kevo ENVELOPE(27.020,27.020,69.758,69.758) Tiksi ENVELOPE(128.867,128.867,71.633,71.633)