Articles | Volume 9, issue 2
Atmos. Meas. Tech., 9, 441–454, 2016
https://doi.org/10.5194/amt-9-441-2016
Atmos. Meas. Tech., 9, 441–454, 2016
https://doi.org/10.5194/amt-9-441-2016

Research article 11 Feb 2016

Research article | 11 Feb 2016

Predicting ambient aerosol thermal–optical reflectance (TOR) measurements from infrared spectra: extending the predictions to different years and different sites

Matteo Reggente et al.

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Short summary
Organic carbon and elemental carbon are major components of atmospheric PM. Typically they are measured using destructive and relatively expensive methods (e.g., TOR). We aim to reduce the operating costs of large air quality monitoring networks using FT-IR spectra of ambient PTFE filters and PLS regression. We achieve accurate predictions for models (calibrated in 2011) that use samples collected at the same or different sites of the calibration data set and in a different year (2013).