Abstract Rapid warming is likely increasing primary production and wildfire occurrence in the Arctic. Projected changes in carbonaceous aerosols during the summer will impact atmospheric chemistry and climate, but our understanding of these processes is limited by sparse observations. Here, we characterize carbonaceous aerosol in Alaska, USA: Toolik Field Station in the Interior and the Atmospheric Radiation Measurement facility at Utqiaġvik on the Arctic coast, during the summers of 2022 and 2023. We estimated PM2.5and PM10concentrations using laser light scattering (PurpleAir sensors) and examined total carbon (TC) and its organic carbon (OC) and elemental carbon (EC) fractions in total suspended particles (TSP). We investigated the dominant sources of carbonaceous aerosol using air mass backward‐trajectories from the NOAA HYSPLIT model and radiocarbon source apportionment of TC. TC concentrations were about twice as high in the Interior compared to the coast, with contemporary sources dominating at both Toolik (95%–99%) and Utqiaġvik (86%–89%) over minor contributions from fossil sources. Elevated PM, TC, OC, and EC concentrations coincided with major boreal forest fire activity in North America that brought smoke to the region. The radiocarbon signature of EC measured at Toolik during these wildfire events indicated that over 90% of the EC came from contemporary sources. Our measurements demonstrate the potential for Arctic aerosol concentrations to respond significantly to climate warming‐induced changes to the landscape and emphasize the need for continuous atmospheric monitoring to advance our understanding of this rapidly changing environment.
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This content will become publicly available on August 1, 2026
Analyzing Aerosol Properties of Air Parcels Above Boone, NC, During the 2023 Summer Canadian Wildfire Season
ABSTRACT Air mass source regions and meteorological factors significantly influenced aerosol loading along air mass trajectories over Boone, North Carolina, between June 1, 2023, to August 31, 2023. This study examines the impact of northeast Canadian wildfires on aerosol loading, quantified by the particle light scattering coefficients at 550 nm measured at the NOAA Federated Aerosol Monitoring site at Appalachian State University (APP). Using NOAA’s HYSPLIT trajectory model, hourly back trajectories originating at 500 meters above ground level at APP were analyzed over a 96-hour timespan and categorized into four aerosol loading classifications based on the aerosol light scattering coefficient at 550 nm measured at APP. All air parcel trajectories originating in eastern Canada were associated with the high and very high aerosol load classifications. Statistical analysis shows that wildfire-sourced parcels exhibit elevated temperatures and variability in solar flux. The findings establish a link between Canadian wildfire activity and increased aerosol loading in Boone, NC, emphasizing the relationships between source region, transport dynamics, and atmospheric conditions. These results provide a framework for further exploration of aerosol source regions and their broader environmental impacts.
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- Award ID(s):
- 2320510
- PAR ID:
- 10632668
- Publisher / Repository:
- United States Library of Congress
- Date Published:
- Journal Name:
- American journal of undergraduate research
- ISSN:
- 2375-8732
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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