Time-series of snow spectral albedo and superficial snow specific surface area at Dome C in Antarctica, 2012-2015, supplement to: Picard, Ghislain; Libois, Quentin; Arnaud, Laurent; Vérin, G; Dumont, Marie (2016): Development and calibration of an automatic spectral albedometer to estimate near-surface snow SSA time series. The Cryosphere, 10(3), 1297-1316

• Main Authors: Picard, Ghislain, Libois, Quentin, Arnaud, Laurent, Vérin, G, Dumont, Marie
• Format: Article in Journal/Newspaper
• Language: English
• Published: PANGAEA - Data Publisher for Earth & Environmental Science 2016
• Subjects: Snow/ice sample; Libois; Antarc*; Antarctica
• Online Access: https://dx.doi.org/10.1594/pangaea.860945; https://doi.pangaea.de/10.1594/PANGAEA.860945

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.