Dataset supporting: Advanced classification of light-absorbing aerosols using a two-dimensional Absorption Ångström Exponent (2D AAE) space

Résumé fourni par la source

This repository contains the data supporting the study “Advanced classification of light-absorbing aerosols using a two-dimensional Absorption Ångström Exponent (2D AAE) space.” The dataset was generated using the AE36s Aethalometer, a nine-wavelength filter-based absorption photometer measuring aerosol light absorption between 340 and 950 nm. Continuous field observations from multiple European monitoring sites were combined with laboratory experiments to characterise the spectral absorption properties of light-absorbing aerosols (LAA) and to develop a novel aerosol classification framework based on the combined use of AAE400–590, AAE590–950, and Δ340. The dataset enables discrimination between major aerosol types, including fresh and aged black carbon (BCfresh, BCaged), residential biomass burning (BBres), open biomass burning (BBopen), aged biomass-burning aerosol (BBaged), and mineral dust. The 2D AAE approach preserves information on spectral curvature that is lost in conventional single-range AAE analysis, improving aerosol source identification and interpretation of atmospheric light absorption measurements.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.