@misc{picard2016toss, author={Ghislain {Picard} and Quentin {Libois} and Laurent {Arnaud} and G {V\'{e}rin} and Marie {Dumont}}, title={{Time-series of snow spectral albedo and superficial snow specific surface area at Dome C in Antarctica, 2012-2015}}, year={2016}, doi={10.1594/PANGAEA.860945}, url={https://doi.org/10.1594/PANGAEA.860945}, note={Supplement to: Picard, G et al. (2016): Development and calibration of an automatic spectral albedometer to estimate near-surface snow SSA time series. The Cryosphere, 10(3), 1297-1316, https://doi.org/10.5194/tc-10-1297-2016}, abstract={Spectral albedo has been measured at Dome C since December 2012 in the visible and near infrared (400 - 1050 nm) at sub-hourly resolution using a home-made spectral radiometer. Superficial specific surface area (SSA) has been estimated by fitting the observed albedo spectra to the analytical Asymptotic Approximation Radiative Transfer theory (AART).\\ \\ The dataset includes fully-calibrated albedo and SSA that pass several quality checks as described in the companion article. Only data for solar zenith angles less than 75{\textdegree} have been included, which theoretically spans the period October-March. In addition, to correct for residual errors still affecting data after the calibration, especially at the solar zenith angles higher than 60{\textdegree}, we produced a higher quality albedo time-series as follows: In the SSA estimation process described in the companion paper, a scaling coefficient A between the observed albedo and the theoretical model predictions was introduced to cope with these errors. This coefficient thus provides a first order estimate of the residual error. By dividing the albedo by this coefficient, we produced the "scaled fully-calibrated albedo". We strongly recommend to use the latter for most applications because it generally remains in the physical range 0-1. The former albedo is provided for reference to the companion paper and because it does not depend on the SSA estimation process and its underlying assumptions.}, type={data set}, publisher={PANGAEA} }