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Mass absorption cross section of black carbon for Aethalometer in the Arctic

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Mass absorption cross section of black carbon for Aethalometer in the Arctic

Earth and Space Sciences

In the research paper authored by Mohit Singh et al. in 2024, published in the Journal of Aerosol Science and Technology (AST), the estimation of the mass absorption cross-section (MAC) of black carbon was conducted. This estimation was achieved through simultaneous measurements of black carbon utilizing filter-based instruments, namely a characterized continuous soot monitoring system (COSMOS) and Aethalometer. The study was carried out at four distinct sites: Alert, Barrow, Ny-Ålesund, and Pallas, all situated in the Arctic region.

The findings revealed that the derived MAC of black carbon displayed minimal spatial and temporal variations. Notably, the study observed a remarkable consistency in the MAC of black carbon among different filter-based light absorption photometers at various sites in both the mid-latitudes and the Arctic, with the differences being within 10%. This observation is particularly noteworthy given the distinct aerosol characteristics prevalent in these two regions. Importantly, this finding represents a significant contribution to the scientific understanding of black carbon's behavior and its implications across different geographical locations, marking the first report of its kind.

 

Mass absorption cross-section (MAC) values of black for Aethalometer MAC(AE) at mid-latitude, and Arctic sites.

Reference

Mass absorption cross section of black carbon for Aethalometer in the Arctic

Mohit Singh, Yutaka Kondo, Sho Ohata, Tatsuhiro Mori, Naga Oshima, Antti Hyvärinen, John Backman, Eija Asmi, Henri Servomaa, Franz Martin Schnaiter, Elisabeth Andrews, Sangeeta Sharma, Kostas Eleftheriadis, Stergios Vratolis, Yongjing Zhao, Makoto Koike, Nobuhiro Moteki & P. R. Sinha, 2024: Mass absorption cross section of black carbon for Aethalometer in the Arctic, Aerosol Science and Technology, DOI: 10.1080/02786826.2024.2316173. https://doi.org/10.1080/02786826.2024.2316173

 

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