Understanding Sources and Drivers of Size-Resolved Aerosol in the High Arctic Islands of Svalbard Using a Receptor Model Coupled with Machine Learning

Congbo Song, Silvia Becagli, David C.S. Beddows, James Brean, Jo Browse, Qili Dai, Manuel Dall'Osto, Valerio Ferracci, Roy M. Harrison, Neil Harris, Weijun Li, Anna E. Jones, Amélie Kirchgäßner, Agung Ghani Kramawijaya, Alexander Kurganskiy, Angelo Lupi, Mauro Mazzola, Mirko Severi, Rita Traversi, Zongbo Shi

Research output: Contribution to journalArticlepeer-review

Abstract

Atmospheric aerosols are important drivers of Arctic climate change through aerosol-cloud-climate interactions. However, large uncertainties remain on the sources and processes controlling particle numbers in both fine and coarse modes. Here, we applied a receptor model and an explainable machine learning technique to understand the sources and drivers of particle numbers from 10 nm to 20 μm in Svalbard. Nucleation, biogenic, secondary, anthropogenic, mineral dust, sea salt and blowing snow aerosols and their major environmental drivers were identified. Our results show that the monthly variations in particles are highly size/source dependent and regulated by meteorology. Secondary and nucleation aerosols are the largest contributors to potential cloud condensation nuclei (CCN, particle number with a diameter larger than 40 nm as a proxy) in the Arctic. Nonlinear responses to temperature were found for biogenic, local dust particles and potential CCN, highlighting the importance of melting sea ice and snow. These results indicate that the aerosol factors will respond to rapid Arctic warming differently and in a nonlinear fashion.

Original languageEnglish
Pages (from-to)11189-11198
Number of pages10
JournalEnvironmental Science and Technology
Volume56
Issue number16
Early online date25 Jul 2022
DOIs
Publication statusPublished - 16 Aug 2022

Keywords

  • Arctic
  • machine learning
  • meteorology
  • particle number concentration
  • positive matrix factorization
  • source apportionment

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