Quantifying Spectral Absorption of Carbonaceous Aerosols Using a Novel Tracer-Guided Least-Square Method and the Impacts on Radiative Forcing Estimation

The data file includes (1) concentrations of element carbon, organic carbon, metal elements, fine mineral dust, and non-dust water-soluble ions, as well as their respective mass fractions, (2) the absorption coefficients of total carbonaceous aerosols at 405, 445, 635, 780, 808, and 980 nm, as well as the quantified absorption coefficients of black carbon and brown carbon, (3) solar irradiance based on the ASTM G173-03 reference spectrum, (4) the concerntration data and uncertainty data file for positive matrix factorization, (5) comparison of BrC contributions to total carbonaceous aerosol absorption at 405 nm and AAE of balck carbon from this study and previous reports.The code file contains Python scripts for generating each graph, including calculations of simple radiative forcing, comparisons of black carbon, brown carbon absorption coefficients under different AAE scenarios, Source profiles and their contributions to each factor identified by the positive matrix factorization model, and comparison of BrC contributions to total carbonaceous aerosol absorption at 405 nm from this study and previous reports.