Submicron Organic Aerosol Types in the Summertime Arctic: Mixing State, Geographic Distribution, and Drivers

Author:

Su Bojiang12ORCID,Zhang Guohua13ORCID,Song Congbo4ORCID,Liang Yue5ORCID,Wang Longqun6,Li Lei7,Zhou Zhen7,Yan Jinpei8,Wang Xinming13ORCID,Bi Xinhui13ORCID

Affiliation:

1. State Key Laboratory of Organic Geochemistry and Guangdong Provincial Key Laboratory of Environmental Protection and Resources Utilization Guangzhou Institute of Geochemistry Chinese Academy of Sciences Guangzhou China

2. University of Chinese Academy of Sciences Beijing China

3. Guangdong‐Hong Kong‐Macao Joint Laboratory for Environmental Pollution and Control Guangzhou China

4. National Centre for Atmospheric Science (NCAS) The University of Manchester Manchester UK

5. Department of Civil and Environmental Engineering Faculty of Science and Technology University of Macau Macau China

6. Anhui Key Laboratory of Polar Environment and Global Change Department of Environmental Science and Engineering University of Science and Technology of China Hefei China

7. Institute of Mass Spectrometry and Atmospheric Environment Jinan University Guangzhou China

8. Key Laboratory of Global Change and Marine–Atmospheric Chemistry Third Institute of Oceanography Ministry of Natural Resources Xiamen China

Abstract

AbstractDuring the 2017 summertime Arctic cruise observation campaigns, we measured over 290,000 individual submicron particles and clustered them into two inorganic classes (dominated by sea salt, accounting for 38.6% by number fraction) and five organic classes (dominated by natural and anthropogenic organics, 61.4%), presenting a distinct difference in geographic distribution. In the high Arctic and marginal ice zone (81.1–84.6°N) compared with the low Arctic (Chukchi Sea, Svalbard, and Iceland, <80°N), ocean‐derived organic aerosols were more prevalent (73.6% vs. 37.1%). Specifically, we found sharp contrasts in the geographic distributions of OC‐Ca (organics internally mixed with calcium, 29.0% vs. 9.4%) and OC‐S (organics internally mixed with sulfate, 3.2% vs. 21.4%). Utilizing an explainable machine learning technique, we inferred that OC‐Ca was driven by wind‐blown sea ice and/or sea ice floes and/or bubble bursting within sea ice leads under low wind speed conditions in the high Arctic, while OC‐S tended to associate with elemental carbon, sulfate, and higher temperatures, potentially originating from combustion emissions at low latitude regions.

Funder

National Natural Science Foundation of China

Youth Innovation Promotion Association of the Chinese Academy of Sciences

Guangdong Provincial Applied Science and Technology Research and Development Program

Chinese Arctic and Antarctic Administration

Publisher

American Geophysical Union (AGU)

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