Articles | Volume 16, issue 12
https://doi.org/10.5194/tc-16-5061-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-16-5061-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
21 Dec 2022
Research article |
| 21 Dec 2022
| 21 Dec 2022
The sensitivity of satellite microwave observations to liquid water in the Antarctic snowpack
Ghislain Picard
CORRESPONDING AUTHOR
Univ. Grenoble Alpes, CNRS, Institut des Géosciences de l’Environnement (IGE), UMR 5001, Grenoble, France
Geological Survey of Denmark and Greenland (GEUS), 1350 Copenhagen, Denmark
Marion Leduc-Leballeur
Institute of Applied Physics “Nello Carrara”, Sesto Fiorentino, Italy
Alison F. Banwell
Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder, Boulder, CO, USA
Ludovic Brucker
Center for Satellite Applications and Research, NOAA/NESDIS, the US National Ice Center, College Park, MD, USA
Giovanni Macelloni
Institute of Applied Physics “Nello Carrara”, Sesto Fiorentino, Italy
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Cited
13 citations as recorded by crossref.
- Remote Sensing of Surface Melt on Antarctica: Opportunities and Challenges S. Husman et al. 10.1109/JSTARS.2022.3216953
- Sensitivity of the MAR regional climate model snowpack to the parameterization of the assimilation of satellite-derived wet-snow masks on the Antarctic Peninsula T. Dethinne et al. 10.5194/tc-17-4267-2023
- Forward modelling of synthetic-aperture radar (SAR) backscatter during lake ice melt conditions using the Snow Microwave Radiative Transfer (SMRT) model J. Murfitt et al. 10.5194/tc-18-869-2024
- Resolution enhancement of SMOS brightness temperatures: Application to melt detection on the Antarctic and Greenland ice sheets P. Zeiger et al. 10.1016/j.rse.2024.114469
- Quantifying Antarctic‐Wide Ice‐Shelf Surface Melt Volume Using Microwave and Firn Model Data: 1980 to 2021 A. Banwell et al. 10.1029/2023GL102744
- Influence of Supraglacial Lakes on Accuracy of Inversion of Greenland Ice Sheet Surface Melt Data in Different Passive Microwave Bands Q. Li et al. 10.3390/rs16101673
- L-Band Full-Wave Simulations of the Effective Permittivity of Bi/Tri-Continuous Media With Applications to Firn Aquifer in Polar Regions and Terrestrial Wet Snow Z. Huang et al. 10.1109/TGRS.2024.3455236
- Evaluation and Application of SMRT Model for L-Band Brightness Temperature Simulation in Arctic Sea Ice Y. Fan et al. 10.3390/rs15153889
- Unlocking the potential of melting calorimetry: a field protocol for liquid water content measurement in snow R. Barella et al. 10.5194/tc-18-5323-2024
- A physics-based Antarctic melt detection technique: combining Advanced Microwave Scanning Radiometer 2, radiative-transfer modeling, and firn modeling M. Dattler et al. 10.5194/tc-18-3613-2024
- Triggers of the 2022 Larsen B multi-year landfast sea ice breakout and initial glacier response N. Ochwat et al. 10.5194/tc-18-1709-2024
- Revealing causes of a surprising correlation: snow water equivalent and spatial statistics from Calibrated Enhanced-Resolution Brightness Temperatures (CETB) using interpretable machine learning and SHAP analysis M. Boueshagh et al. 10.3389/frsen.2025.1554084
- An improved retrieval method for liquid water content of the Antarctic ice sheet using SMOS data Y. Zhou et al. 10.1080/10106049.2025.2480306
13 citations as recorded by crossref.
- Remote Sensing of Surface Melt on Antarctica: Opportunities and Challenges S. Husman et al. 10.1109/JSTARS.2022.3216953
- Sensitivity of the MAR regional climate model snowpack to the parameterization of the assimilation of satellite-derived wet-snow masks on the Antarctic Peninsula T. Dethinne et al. 10.5194/tc-17-4267-2023
- Forward modelling of synthetic-aperture radar (SAR) backscatter during lake ice melt conditions using the Snow Microwave Radiative Transfer (SMRT) model J. Murfitt et al. 10.5194/tc-18-869-2024
- Resolution enhancement of SMOS brightness temperatures: Application to melt detection on the Antarctic and Greenland ice sheets P. Zeiger et al. 10.1016/j.rse.2024.114469
- Quantifying Antarctic‐Wide Ice‐Shelf Surface Melt Volume Using Microwave and Firn Model Data: 1980 to 2021 A. Banwell et al. 10.1029/2023GL102744
- Influence of Supraglacial Lakes on Accuracy of Inversion of Greenland Ice Sheet Surface Melt Data in Different Passive Microwave Bands Q. Li et al. 10.3390/rs16101673
- L-Band Full-Wave Simulations of the Effective Permittivity of Bi/Tri-Continuous Media With Applications to Firn Aquifer in Polar Regions and Terrestrial Wet Snow Z. Huang et al. 10.1109/TGRS.2024.3455236
- Evaluation and Application of SMRT Model for L-Band Brightness Temperature Simulation in Arctic Sea Ice Y. Fan et al. 10.3390/rs15153889
- Unlocking the potential of melting calorimetry: a field protocol for liquid water content measurement in snow R. Barella et al. 10.5194/tc-18-5323-2024
- A physics-based Antarctic melt detection technique: combining Advanced Microwave Scanning Radiometer 2, radiative-transfer modeling, and firn modeling M. Dattler et al. 10.5194/tc-18-3613-2024
- Triggers of the 2022 Larsen B multi-year landfast sea ice breakout and initial glacier response N. Ochwat et al. 10.5194/tc-18-1709-2024
- Revealing causes of a surprising correlation: snow water equivalent and spatial statistics from Calibrated Enhanced-Resolution Brightness Temperatures (CETB) using interpretable machine learning and SHAP analysis M. Boueshagh et al. 10.3389/frsen.2025.1554084
- An improved retrieval method for liquid water content of the Antarctic ice sheet using SMOS data Y. Zhou et al. 10.1080/10106049.2025.2480306
Latest update: 23 Apr 2025
Short summary
Using a snowpack radiative transfer model, we investigate in which conditions meltwater can be detected from passive microwave satellite observations from 1.4 to 37 GHz. In particular, we determine the minimum detectable liquid water content, the maximum depth of detection of a buried wet snow layer and the risk of false alarm due to supraglacial lakes. These results provide information for the developers of new, more advanced satellite melt products and for the users of the existing products.
Using a snowpack radiative transfer model, we investigate in which conditions meltwater can be...
