| Title: | Characterization of brown carbon absorption in different European environments through source contribution analysis |
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| Authors: | ID Navarro-Barboza, Hector (Author)
ID Rovira, Jordi (Author)
ID Obiso, Vincenzo (Author)
ID Pozzer, Andrea (Author)
ID Via, Marta (Author)
ID Alastuey, Andrés (Author)
ID Querol, Xavier (Author)
ID Yus-Díez, Jesús (Author)
ID Ivančič, Matic (Author)
ID Rigler, Martin (Author), et al. |
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| Files: |  RAZ_Navarro-Barboza_Hector_2025.pdf (11,71 MB)
MD5: A7902B023A4FF1B2A70F7FCCC47DA8A9
 https://acp.copernicus.org/articles/25/2667/2025/acp-25-2667-2025.pdf
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| Language: | English |
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| Work type: | Unknown |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | UNG - University of Nova Gorica
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| Abstract: | Brown carbon (BrC) is a fraction of organic aerosol (OA) that absorbs radiation in the ultraviolet and short visible wavelengths. Its contribution to radiative forcing is uncertain due to limited knowledge of its imaginary refractive index (k). This study investigates the variability of k for OA from wildfires, residential, shipping, and traffic emission sources over Europe. The Multiscale Online Nonhydrostatic Atmosphere Chemistry (MONARCH) model simulated OA concentrations and source contributions, feeding an offline optical tool to constrain k values at 370 nm. The model was evaluated against OA mass concentrations from aerosol chemical speciation monitors (ACSMs) and filter sample measurements, as well as aerosol light absorption measurements at 370 nm derived from an Aethalometer™ from 12 sites across Europe. Results show that MONARCH captures the OA temporal variability across environments (regional, suburban, and urban background). Residential emissions are a major OA source in colder months, while secondary organic aerosol (SOA) dominates in warmer periods. Traffic is a minor primary OA contributor. Biomass and coal combustion significantly influence OA absorption, with shipping emissions also notable near harbors. Optimizing k values at 370 nm revealed significant variability in OA light absorption, influenced by emission sources and environmental conditions. Derived k values for biomass burning (0.03 to 0.13), residential (0.008 to 0.13), shipping (0.005 to 0.08), and traffic (0.005 to 0.07) sources improved model representation of OA absorption compared to a constant k. Introducing such emission source-specific constraints is an innovative approach to enhance OA absorption in atmospheric models. |
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| Keywords: | aerosols, brown carbon, source contribution analysis |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Publication date: | 01.01.2025 |
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| Year of publishing: | 2025 |
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| Number of pages: | str. 2667-2694 |
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| Numbering: | Vol. 25, issue 4 |
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| PID: | 20.500.12556/RUNG-9877  |
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| COBISS.SI-ID: | 227973379 |
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| UDC: | 502.3/.7 |
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| ISSN on article: | 1680-7324 |
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| eISSN: | 1680-7324 |
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| DOI: | 10.5194/acp-25-2667-2025 |
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| NUK URN: | URN:SI:UNG:REP:QGKJXTF4 |
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| Publication date in RUNG: | 04.03.2025 |
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| Views: | 175 |
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| Downloads: | 0 |
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