Articles | Volume 15, issue 12
https://doi.org/10.5194/tc-15-5483-2021
© Author(s) 2021. 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-15-5483-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Advances in altimetric snow depth estimates using bi-frequency SARAL and CryoSat-2 Ka–Ku measurements
Florent Garnier
CORRESPONDING AUTHOR
Laboratoire d'Etudes en Géophysique et Océanographie Spatiales (LEGOS), CNRS/UMR5566, Université Paul Sabbatier, 31400 Toulouse, France
Sara Fleury
Laboratoire d'Etudes en Géophysique et Océanographie Spatiales (LEGOS), CNRS/UMR5566, Université Paul Sabbatier, 31400 Toulouse, France
Gilles Garric
Mercator Ocean, 31520 Ramonville Saint Agne, France
Jérôme Bouffard
Earth Observation Directorate, ESA (European Space Agency), Via Galileo Galilei, 2-00044 Frascati, Italy
Michel Tsamados
Centre for Polar Observation and Modelling, Department of Earth Sciences, University College London, London, WC1E 6BT, UK
Antoine Laforge
Serco c/o ESA, Earth Observation Directorate, Via Galileo Galilei, 2-00044 Frascati, Italy
Marion Bocquet
Laboratoire d'Etudes en Géophysique et Océanographie Spatiales (LEGOS), CNRS/UMR5566, Université Paul Sabbatier, 31400 Toulouse, France
Renée Mie Fredensborg Hansen
Earth Observation Directorate, ESA (European Space Agency), Via Galileo Galilei, 2-00044 Frascati, Italy
Frédérique Remy
Laboratoire d'Etudes en Géophysique et Océanographie Spatiales (LEGOS), CNRS/UMR5566, Université Paul Sabbatier, 31400 Toulouse, France
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19 citations as recorded by crossref.
- Linking timescale-dependent Antarctic sea ice kinematic observations to ice thickness T. Tian et al. 10.1016/j.rse.2023.113813
- Latest Altimetry-Based Sea Ice Freeboard and Volume Inter-Annual Variability in the Antarctic over 2003–2020 F. Garnier et al. 10.3390/rs14194741
- Sea Ice Remote Sensing—Recent Developments in Methods and Climate Data Sets S. Sandven et al. 10.1007/s10712-023-09781-0
- Bio-optical properties of algal communities in Antarctic pack ice during spring L. Dalman et al. 10.1016/j.jmarsys.2023.103890
- Arctic sea ice radar freeboard retrieval from the European Remote-Sensing Satellite (ERS-2) using altimetry: toward sea ice thickness observation from 1995 to 2021 M. Bocquet et al. 10.5194/tc-17-3013-2023
- Assimilating CryoSat-2 freeboard to improve Arctic sea ice thickness estimates I. Sievers et al. 10.5194/tc-17-3721-2023
- Arctic Sea Ice Thickness Estimation From Passive Microwave Satellite Observations Between 1.4 and 36 GHz C. Soriot et al. 10.1029/2022EA002542
- Sensitivity of Passive Microwave Satellite Observations to Snow Density and Grain Size Over Arctic Sea Ice Y. Kwon et al. 10.1109/TGRS.2023.3322401
- A Simulation of Snow on Antarctic Sea Ice Based on Satellite Data and Climate Reanalyses I. Lawrence et al. 10.1029/2022JC019002
- C and K band microwave penetration into snow on sea ice studied with off-the-shelf tank radars A. Jutila & C. Haas 10.1017/aog.2023.47
- Synoptic Variability in Satellite Altimeter‐Derived Radar Freeboard of Arctic Sea Ice C. Nab et al. 10.1029/2022GL100696
- Retrieval of Snow Depth on Arctic Sea Ice From Surface‐Based, Polarimetric, Dual‐Frequency Radar Altimetry R. Willatt et al. 10.1029/2023GL104461
- Toward Daily Snow Depth Estimation on Arctic Sea Ice During the Whole Winter Season From Passive Microwave Radiometer Data L. He et al. 10.1109/TGRS.2024.3358340
- Inter-comparisons of Arctic snow depth products M. Li et al. 10.1080/17538947.2024.2376286
- Analysis of microseismicity in sea ice with deep learning and Bayesian inference: application to high-resolution thickness monitoring L. Moreau et al. 10.5194/tc-17-1327-2023
- Knowledge Gaps and Impact of Future Satellite Missions to Facilitate Monitoring of Changes in the Arctic Ocean S. Lucas et al. 10.3390/rs15112852
- Triple Collocation-Based Merging of Winter Snow Depth Retrievals on Arctic Sea Ice Derived From Three Different Algorithms Using AMSR2 L. He et al. 10.1109/TGRS.2023.3290073
- Airborne Investigation of Quasi-Specular Ku-Band Radar Scattering for Satellite Altimetry Over Snow-Covered Arctic Sea Ice C. De Rijke-Thomas et al. 10.1109/TGRS.2023.3318263
- Coastal Polynya Disrupts the Acoustic Backscatter Diurnal Signal Over the Eastern Laptev Sea Shelf I. Dmitrenko et al. 10.3389/fmars.2021.791096
18 citations as recorded by crossref.
- Linking timescale-dependent Antarctic sea ice kinematic observations to ice thickness T. Tian et al. 10.1016/j.rse.2023.113813
- Latest Altimetry-Based Sea Ice Freeboard and Volume Inter-Annual Variability in the Antarctic over 2003–2020 F. Garnier et al. 10.3390/rs14194741
- Sea Ice Remote Sensing—Recent Developments in Methods and Climate Data Sets S. Sandven et al. 10.1007/s10712-023-09781-0
- Bio-optical properties of algal communities in Antarctic pack ice during spring L. Dalman et al. 10.1016/j.jmarsys.2023.103890
- Arctic sea ice radar freeboard retrieval from the European Remote-Sensing Satellite (ERS-2) using altimetry: toward sea ice thickness observation from 1995 to 2021 M. Bocquet et al. 10.5194/tc-17-3013-2023
- Assimilating CryoSat-2 freeboard to improve Arctic sea ice thickness estimates I. Sievers et al. 10.5194/tc-17-3721-2023
- Arctic Sea Ice Thickness Estimation From Passive Microwave Satellite Observations Between 1.4 and 36 GHz C. Soriot et al. 10.1029/2022EA002542
- Sensitivity of Passive Microwave Satellite Observations to Snow Density and Grain Size Over Arctic Sea Ice Y. Kwon et al. 10.1109/TGRS.2023.3322401
- A Simulation of Snow on Antarctic Sea Ice Based on Satellite Data and Climate Reanalyses I. Lawrence et al. 10.1029/2022JC019002
- C and K band microwave penetration into snow on sea ice studied with off-the-shelf tank radars A. Jutila & C. Haas 10.1017/aog.2023.47
- Synoptic Variability in Satellite Altimeter‐Derived Radar Freeboard of Arctic Sea Ice C. Nab et al. 10.1029/2022GL100696
- Retrieval of Snow Depth on Arctic Sea Ice From Surface‐Based, Polarimetric, Dual‐Frequency Radar Altimetry R. Willatt et al. 10.1029/2023GL104461
- Toward Daily Snow Depth Estimation on Arctic Sea Ice During the Whole Winter Season From Passive Microwave Radiometer Data L. He et al. 10.1109/TGRS.2024.3358340
- Inter-comparisons of Arctic snow depth products M. Li et al. 10.1080/17538947.2024.2376286
- Analysis of microseismicity in sea ice with deep learning and Bayesian inference: application to high-resolution thickness monitoring L. Moreau et al. 10.5194/tc-17-1327-2023
- Knowledge Gaps and Impact of Future Satellite Missions to Facilitate Monitoring of Changes in the Arctic Ocean S. Lucas et al. 10.3390/rs15112852
- Triple Collocation-Based Merging of Winter Snow Depth Retrievals on Arctic Sea Ice Derived From Three Different Algorithms Using AMSR2 L. He et al. 10.1109/TGRS.2023.3290073
- Airborne Investigation of Quasi-Specular Ku-Band Radar Scattering for Satellite Altimetry Over Snow-Covered Arctic Sea Ice C. De Rijke-Thomas et al. 10.1109/TGRS.2023.3318263
1 citations as recorded by crossref.
Latest update: 18 Nov 2024
Short summary
Snow depth data are essential to monitor the impacts of climate change on sea ice volume variations and their impacts on the climate system. For that purpose, we present and assess the altimetric snow depth product, computed in both hemispheres from CryoSat-2 and SARAL satellite data. The use of these data instead of the common climatology reduces the sea ice thickness by about 30 cm over the 2013–2019 period. These data are also crucial to argue for the launch of the CRISTAL satellite mission.
Snow depth data are essential to monitor the impacts of climate change on sea ice volume...