Articles | Volume 9, issue 6
https://doi.org/10.5194/tc-9-2383-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/tc-9-2383-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
15 Dec 2015
Research article |
| 15 Dec 2015
Summertime evolution of snow specific surface area close to the surface on the Antarctic Plateau
Univ. Grenoble Alpes, LGGE (UMR5183), 38041 Grenoble, France
CNRS, LGGE (UMR5183), 38041 Grenoble, France
now at: ESCER Centre, Department of Earth and Atmospheric Sciences, Université du Québec à Montréal, 201 Av. du Président-Kennedy, Montréal, H3C3P8, Canada
G. Picard
Univ. Grenoble Alpes, LGGE (UMR5183), 38041 Grenoble, France
CNRS, LGGE (UMR5183), 38041 Grenoble, France
L. Arnaud
Univ. Grenoble Alpes, LGGE (UMR5183), 38041 Grenoble, France
CNRS, LGGE (UMR5183), 38041 Grenoble, France
M. Dumont
Météo-France – CNRS, CNRM – GAME (UMR 3589), Centre d'Études de la Neige, Grenoble, France
M. Lafaysse
Météo-France – CNRS, CNRM – GAME (UMR 3589), Centre d'Études de la Neige, Grenoble, France
Météo-France – CNRS, CNRM – GAME (UMR 3589), Centre d'Études de la Neige, Grenoble, France
E. Lefebvre
Univ. Grenoble Alpes, LGGE (UMR5183), 38041 Grenoble, France
CNRS, LGGE (UMR5183), 38041 Grenoble, France
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38 citations as recorded by crossref.
- ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks G. Krinner et al. 10.5194/gmd-11-5027-2018
- Quantifying Relative Contributions of Light‐Absorbing Particles From Domestic and Foreign Sources on Snow Melt at Sapporo, Japan During the 2011–2012 Winter M. Niwano et al. 10.1029/2021GL093940
- Quantifying the snowmelt–albedo feedback at Neumayer Station, East Antarctica C. Jakobs et al. 10.5194/tc-13-1473-2019
- Sensitivity of Antarctic surface climate to a new spectral snow albedo and radiative transfer scheme in RACMO2.3p3 C. van Dalum et al. 10.5194/tc-16-1071-2022
- Spatial distribution of vertical density and microstructure profiles in near-surface firn around Dome Fuji, Antarctica R. Inoue et al. 10.5194/tc-18-425-2024
- Air–snow exchange of nitrate: a modelling approach to investigate physicochemical processes in surface snow at Dome C, Antarctica J. Bock et al. 10.5194/acp-16-12531-2016
- The determination of snow parameters using SGLI/GCOM-C spaceborne top-of-atmosphere spectral reflectance measurements over Antarctica A. Kokhanovsky et al. 10.1016/j.jqsrt.2022.108226
- Evaluating the performance of coupled snow–soil models in SURFEXv8 to simulate the permafrost thermal regime at a high Arctic site M. Barrere et al. 10.5194/gmd-10-3461-2017
- CrocO_v1.0: a particle filter to assimilate snowpack observations in a spatialised framework B. Cluzet et al. 10.5194/gmd-14-1595-2021
- Marked decrease in the near-surface snow density retrieved by AMSR-E satellite at Dome C, Antarctica, between 2002 and 2011 N. Champollion et al. 10.5194/tc-13-1215-2019
- Experimental and model-based investigation of the links between snow bidirectional reflectance and snow microstructure M. Dumont et al. 10.5194/tc-15-3921-2021
- Archival processes of the water stable isotope signal in East Antarctic ice cores M. Casado et al. 10.5194/tc-12-1745-2018
- Comparison of different methods to retrieve optical-equivalent snow grain size in central Antarctica T. Carlsen et al. 10.5194/tc-11-2727-2017
- Retrieval of Snow Properties from the Sentinel-3 Ocean and Land Colour Instrument A. Kokhanovsky et al. 10.3390/rs11192280
- The Microwave Snow Grain Size: A New Concept to Predict Satellite Observations Over Snow‐Covered Regions G. Picard et al. 10.1029/2021AV000630
- Measurements and Modeling of Optical-Equivalent Snow Grain Sizes under Arctic Low-Sun Conditions E. Jäkel et al. 10.3390/rs13234904
- In situ continuous visible and near-infrared spectroscopy of an alpine snowpack M. Dumont et al. 10.5194/tc-11-1091-2017
- Assimilation of surface reflectance in snow simulations: Impact on bulk snow variables J. Revuelto et al. 10.1016/j.jhydrol.2021.126966
- Spectral measurements of surface hoar crystals S. HORTON & B. JAMIESON 10.1017/jog.2017.6
- A multilayer physically based snowpack model simulating direct and indirect radiative impacts of light-absorbing impurities in snow F. Tuzet et al. 10.5194/tc-11-2633-2017
- Dynamics of the snow grain size in a windy coastal area of Antarctica from continuous in situ spectral-albedo measurements S. Arioli et al. 10.5194/tc-17-2323-2023
- Influence of snow surface properties on L-band brightness temperature at Dome C, Antarctica M. Leduc-Leballeur et al. 10.1016/j.rse.2017.07.035
- Spectral albedo measurements over snow-covered slopes: theory and slope effect corrections G. Picard et al. 10.5194/tc-14-1497-2020
- On the energy budget of a low-Arctic snowpack G. Lackner et al. 10.5194/tc-16-127-2022
- A multiphysical ensemble system of numerical snow modelling M. Lafaysse et al. 10.5194/tc-11-1173-2017
- Radar altimeter waveform simulations in Antarctica with the Snow Microwave Radiative Transfer Model (SMRT) F. Larue et al. 10.1016/j.rse.2021.112534
- Towards the assimilation of satellite reflectance into semi-distributed ensemble snowpack simulations B. Cluzet et al. 10.1016/j.coldregions.2019.102918
- Monitoring of snow surface near-infrared bidirectional reflectance factors with added light-absorbing particles A. Schneider et al. 10.5194/tc-13-1753-2019
- Propagating information from snow observations with CrocO ensemble data assimilation system: a 10-years case study over a snow depth observation network B. Cluzet et al. 10.5194/tc-16-1281-2022
- Development and calibration of an automatic spectral albedometer to estimate near-surface snow SSA time series G. Picard et al. 10.5194/tc-10-1297-2016
- Surface studies of water isotopes in Antarctica for quantitative interpretation of deep ice core data A. Landais et al. 10.1016/j.crte.2017.05.003
- On the reflectance spectroscopy of snow A. Kokhanovsky et al. 10.5194/tc-12-2371-2018
- Numerical experiments on vapor diffusion in polar snow and firn and its impact on isotopes using the multi-layer energy balance model Crocus in SURFEX v8.0 A. Touzeau et al. 10.5194/gmd-11-2393-2018
- Snow surface properties derived from PRISMA satellite data over the Nansen Ice Shelf (East Antarctica) A. Kokhanovsky et al. 10.3389/fenvs.2022.904585
- Snow albedo sensitivity to macroscopic surface roughness using a new ray-tracing model F. Larue et al. 10.5194/tc-14-1651-2020
- Snow Albedo Seasonal Decay and Its Relation With Shortwave Radiation, Surface Temperature and Topography Over an Antarctic Ice Cap J. Calleja et al. 10.1109/JSTARS.2021.3051731
- Why do the dark and light ogives of Forbes bands have similar surface mass balances? C. VINCENT et al. 10.1017/jog.2018.12
- An Improved Retrieval of Snow and Ice Properties Using Spaceborne OLCI/S-3 Spectral Reflectance Measurements: Updated Atmospheric Correction and Snow Impurity Load Estimation A. Kokhanovsky et al. 10.3390/rs15010077
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Latest update: 24 Apr 2024
Short summary
The albedo and surface energy budget of the Antarctic Plateau are largely determined by snow specific surface area. The latter experiences substantial daily-to-seasonal variations in response to meteorological conditions. In particular, it decreases by a factor three in summer, causing a drop in albedo. These variations are monitored from in situ and remote sensing observations at Dome C. For the first time, they are also simulated with a snowpack evolution model adapted to Antarctic conditions.
The albedo and surface energy budget of the Antarctic Plateau are largely determined by snow...
