A full year of aerosol size distribution data from the central Arctic under an extreme positive Arctic Oscillation: Insights from the MOSAiC expedition

The Arctic environment is rapidly changing due to accelerated warming in the region. The warming trend is driving a decline in sea ice extent, which thereby enhances feedback loops in the surface energy budget in the Arctic. Arctic aerosols play an important role in the radiative balance, and hence...

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Main Authors: Boyer, Matthew, Aliaga, Diego, Pernov, Jakob Boyd, Angot, Hélène, Quéléver, Lauriane L. J., Dada, Lubna, Heutte, Benjamin, Dall’Osto, Manuel, Beddows, David C. S., Brasseur, Zoé, Beck, Ivo, Bucci, Silvia, Duetsch, Marina, Stohl, Andreas, Laurila, Tiia, Asmi, Eija, Massling, Andreas, Thomas, Daniel Charles, Nøjgaard, Jakob Klenø, Chan, Tak, Sharma, Sangeeta, Tunved, Peter, Krejci, Radovan, Hansson, Hans Christen, Kulmala, Markku, Petäjä, Tuukka, Sipilä, Mikko, Schmale, Julia, Jokinen, Tuija
Format: Text
Language:English
Published: 2022
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Online Access:https://doi.org/10.5194/acp-2022-591
https://acp.copernicus.org/preprints/acp-2022-591/
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Summary:The Arctic environment is rapidly changing due to accelerated warming in the region. The warming trend is driving a decline in sea ice extent, which thereby enhances feedback loops in the surface energy budget in the Arctic. Arctic aerosols play an important role in the radiative balance, and hence the climate response, in the region; yet direct observations of aerosols over the Arctic Ocean are limited. In this study, we investigate the annual cycle in the aerosol particle number size distribution (PNSD), particle number concentration (PNC), and black carbon (BC) mass concentration in the central Arctic during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition. This is the first continuous, year-long dataset of aerosol PNSD ever collected over the sea ice in the central Arctic Ocean. We use a k-means cluster analysis, FLEXPART simulations, and inverse modeling to evaluate seasonal patterns and the influence of different source regions on the Arctic aerosol population. Furthermore, we compare the aerosol observations to land-based sites across the Arctic, using both long-term measurements and observations during the year of the MOSAiC expedition (2019–2020), to investigate interannual variability and to give context to the aerosol characteristics from within the central Arctic. Our analysis identifies that, overall, the central Arctic exhibits typical seasonal patterns of aerosols, including anthropogenic influence from Arctic Haze in winter and secondary aerosol processes in summer. The seasonal pattern corresponds with the global radiation, surface air temperature, and the timing of sea ice melting/freezing, which drives changes in transport patterns and secondary aerosol processes. In winter, the Norilsk region in Russia/Siberia was the dominant source of Arctic Haze signal in the PNSD and BC observations, which contributed to higher accumulation mode PNC and BC mass concentration in the central Arctic than at land-based observatories. We also show that the ...