Time-series of snow spectral albedo and superficial snow specific surface area at Dome C in Antarctica, 2012-2015
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| Auteurs principaux: | , , , , |
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| Format: | Dataset Open Access |
| Langue: | en |
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PANGAEA
2016
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| _version_ | 1867170470030213120 |
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| author | Picard, Ghislain Libois, Quentin Arnaud, Laurent Vérin, G Dumont, Marie |
| author_facet | Picard, Ghislain Libois, Quentin Arnaud, Laurent Vérin, G Dumont, Marie |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | 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. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_860945 |
| institution | PANGAEA |
| language | en |
| publishDate | 2016 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Time-series of snow spectral albedo and superficial snow specific surface area at Dome C in Antarctica, 2012-2015 Picard, Ghislain Libois, Quentin Arnaud, Laurent Vérin, G Dumont, Marie Antarctica; Dome C; DomeC_Snow; SNOW; Snow/ice sample 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. |
| title | Time-series of snow spectral albedo and superficial snow specific surface area at Dome C in Antarctica, 2012-2015 |
| topic | Antarctica; Dome C; DomeC_Snow; SNOW; Snow/ice sample |
| url | https://doi.org/10.1594/PANGAEA.860945 |