Prevalence of Local Emissions in Arctic Carbonaceous Aerosols Revealed by Dual Carbon Isotopes and Atmospheric Transport Modeling

Abstract Carbonaceous aerosols in the Arctic are mainly attributed to long‐range transport from lower latitudes, but direct observational data over the central Arctic Ocean, particularly in summer, remain limited. We present a cruise‐based study conducted during the eighth Xuelong Arctic expedition across the central Arctic Ocean. Using dual carbon isotope analysis (δ 13 C– Δ 14 C), molecular organic composition, and black carbon (BC)‐atmospheric modeling, we provide quantitative insights into the sources of Arctic marine aerosols. Our findings show significant spatial differences in aerosol composition between the North Pacific and Arctic Ocean. Fossil fuel–derived carbon contributes 55.5 ± 17% (0.49 ± 0.39 μg m −3 ) of total carbon in Arctic summer aerosols. While model simulations closely match BC concentrations outside the Arctic Ocean, they underestimate BC levels in the inner Arctic by a factor of two, suggesting gaps in local source representation. These findings emphasize the need for better representation of local emissions, especially from shipping, in models to improve understanding of aerosol‐driven climate effects in the Arctic.

Authors

Institutions

Publication Details

Journal
Geophysical Research Letters
Published
2026-11-02
DOI
https://doi.org/10.1029/2026gl124056
Primary Topic
Atmospheric chemistry and aerosols
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prevalence of Local Emissions in Arctic Carbonaceous Aerosols Revealed by Dual Carbon Isotopes and Atmospheric Transport Modeling

Mingyuan Yu, Md. Mozammel Haque, Sönke Szidat, Yanlin Zhang et al.
2 links
Geophysical Research Letters
Atmospheric chemistry and aerosols
article

Prevalence of Local Emissions in Arctic Carbonaceous Aerosols Revealed by Dual Carbon Isotopes and Atmospheric Transport Modeling

Mingyuan Yu, Md. Mozammel Haque, Sönke Szidat, Yanlin Zhang, Wenhuai Song
article en

Abstract

Abstract Carbonaceous aerosols in the Arctic are mainly attributed to long‐range transport from lower latitudes, but direct observational data over the central Arctic Ocean, particularly in summer, remain limited. We present a cruise‐based study conducted during the eighth Xuelong Arctic expedition across the central Arctic Ocean. Using dual carbon isotope analysis (δ 13 C– Δ 14 C), molecular organic composition, and black carbon (BC)‐atmospheric modeling, we provide quantitative insights into the sources of Arctic marine aerosols. Our findings show significant spatial differences in aerosol composition between the North Pacific and Arctic Ocean. Fossil fuel–derived carbon contributes 55.5 ± 17% (0.49 ± 0.39 μg m −3 ) of total carbon in Arctic summer aerosols. While model simulations closely match BC concentrations outside the Arctic Ocean, they underestimate BC levels in the inner Arctic by a factor of two, suggesting gaps in local source representation. These findings emphasize the need for better representation of local emissions, especially from shipping, in models to improve understanding of aerosol‐driven climate effects in the Arctic.

Geophysical Research LettersVol. 53(21)
University of Bern (CH), Oeschger Centre for Climate Change Research (CH), Nanjing University of Information Science and Technology (CN)
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 24%
Atmospheric chemistry and aerosols
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon