TY - SER ID - picard2016toss T1 - Time-series of snow spectral albedo and superficial snow specific surface area at Dome C in Antarctica, 2012-2015 AU - Picard, Ghislain AU - Libois, Quentin AU - Arnaud, Laurent AU - Vérin, G AU - Dumont, Marie PY - 2016/05/31/ T2 - 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 PB - PANGAEA DO - 10.1594/PANGAEA.860945 UR - https://doi.org/10.1594/PANGAEA.860945 N2 - 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° 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°, 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. ER -