Dimethyl sulfide and its role in aerosol formation and growth in the Arctic summer – a modelling study

• Published in: Atmospheric Chemistry and Physics
• Main Authors: Ghahremaninezhad, Roghayeh, Gong, Wanmin, Galí, Martí, Norman, Ann-Lise, Beagley, Stephen R., Akingunola, Ayodeji, Zheng, Qiong, Lupu, Alexandru, Lizotte, Martine, Levasseur, Maurice, Leaitch, W. Richard
• Format: Article in Journal/Newspaper
• Language: English
• Published: Copernicus Publications 2019
• Subjects: article; Verlagsveröffentlichung; Arctic; Baffin Bay; Canadian Arctic Archipelago; Lancaster Sound; Arctic Archipelago; Baffin; Climate change
• Online Access: https://doi.org/10.5194/acp-19-14455-2019; https://noa.gwlb.de/receive/cop_mods_00049604; https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00049223/acp-19-14455-2019.pdf; https://acp.copernicus.org/articles/19/14455/2019/acp-19-14455-2019.pdf

Atmospheric dimethyl sulfide, DMS(g), is a climatically important sulfur compound and is the main source of biogenic sulfate aerosol in the Arctic atmosphere. DMS(g) production and emission to the atmosphere increase during the summer due to the greater ice-free sea surface and higher biological activity. We implemented DMS(g) in the Environment and Climate Change Canada’s (ECCC) online air quality forecast model, GEM-MACH (Global Environmental Multiscale–Modelling Air quality and CHemistry), and compared model simulations with DMS(g) measurements made in Baffin Bay and the Canadian Arctic Archipelago in July and August 2014. Two seawater DMS(aq) datasets were used as input for the simulations: (1) a DMS(aq) climatology dataset based on seawater concentration measurements (Lana et al., 2011) and (2) a DMS(aq) dataset based on satellite detection (Galí et al., 2018). In general, GEM-MACH simulations under-predict DMS(g) measurements, which is likely due to the negative biases in both DMS(aq) datasets. However, a higher correlation and smaller bias were obtained with the satellite dataset. Agreement with the observations improved when climatological values were replaced by DMS(aq) in situ values that were measured concurrently with atmospheric observations over Baffin Bay and the Lancaster Sound area in July 2014. The addition of DMS(g) to the GEM-MACH model resulted in a significant increase in atmospheric SO2 for some regions of the Canadian Arctic (up to 100 %). Analysis of the size-segregated sulfate aerosol in the model shows that a significant increase in sulfate mass occurs for particles with a diameter smaller than 200 nm due to the formation and growth of biogenic aerosol at high latitudes (>70∘ N). The enhancement in sulfate particles is most significant in the size range from 50 to 100 nm; however, this enhancement is stronger in the 200–1000 nm size range at lower latitudes (<70∘ N). These results emphasize the important role of DMS(g) in the formation and growth of fine and ultrafine sulfate-containing particles in the Arctic during the summertime.