Articles | Volume 14, issue 12
https://doi.org/10.5194/tc-14-4453-2020
© Author(s) 2020. 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-14-4453-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| Highlight paper
| 
04 Dec 2020
Research article | Highlight paper |
| 04 Dec 2020
| 04 Dec 2020
The Antarctic sea ice cover from ICESat-2 and CryoSat-2: freeboard, snow depth, and ice thickness
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, California, USA
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, California, USA
now at: Applied Physics Laboratory, Polar Science Center, University of
Washington, Seattle, Washington, USA
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42 citations as recorded by crossref.
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- Snow depth product over Antarctic sea ice from 2002 to 2020 using multisource passive microwave radiometers X. Shen et al. 10.5194/essd-14-619-2022
- Seasonal and Interannual Variations in Sea Ice Thickness in the Weddell Sea, Antarctica (2019–2022) Using ICESat-2 M. Joshi et al. 10.3390/rs16203909
- Deriving Snow Depth From ICESat-2 Lidar Multiple Scattering Measurements: Uncertainty Analyses X. Lu et al. 10.3389/frsen.2022.891481
- Antarctic sea ice surface temperature bias in atmospheric reanalyses induced by the combined effects of sea ice and clouds Z. Wang et al. 10.1038/s43247-024-01692-1
- Continuous measurement of sea ice freeboard with tide gauges and GNSS interferometric reflectometry S. Xie 10.1016/j.rse.2022.113165
- Three decades of ocean warming impacts on marine ecosystems: A review and perspective R. Venegas et al. 10.1016/j.dsr2.2023.105318
- 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
- A Sea Ice Concentration Estimation Methodology Utilizing ICESat-2 Photon-Counting Laser Altimeter in the Arctic J. Liu et al. 10.3390/rs14051130
- A comparison between Envisat and ICESat sea ice thickness in the Southern Ocean J. Wang et al. 10.5194/tc-16-4473-2022
- Weekly Mapping of Sea Ice Freeboard in the Ross Sea from ICESat-2 Y. Koo et al. 10.3390/rs13163277
- Modeling ringed seal Pusa hispida habitat and lair emergence timing in the eastern Bering and Chukchi Seas J. Lindsay et al. 10.3354/esr01140
- Bridging the gap for ice–ocean–ecosystem processes: integrated observing system for the Ross Sea-far East Antarctic Region P. Heil et al. 10.3389/fmars.2023.1206119
- Overwinter sea-ice characteristics important for Antarctic krill recruitment in the southwest Atlantic D. Veytia et al. 10.1016/j.ecolind.2021.107934
- 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
- Comparing elevation and backscatter retrievals from CryoSat-2 and ICESat-2 over Arctic summer sea ice G. Dawson & J. Landy 10.5194/tc-17-4165-2023
- Improving snow depth simulations on Arctic Sea ice by assimilating a passive microwave-derived record H. Li et al. 10.1016/j.coldregions.2023.103929
- The influence of snow on sea ice as assessed from simulations of CESM2 M. Holland et al. 10.5194/tc-15-4981-2021
- A combined multi-source data and deep learning approach for retrieving snow depth on Antarctic Sea ice during the melting season Z. Yan et al. 10.1080/17538947.2024.2376260
- A study of sea ice topography in the Weddell and Ross seas using dual-polarimetric TanDEM-X imagery L. Huang & I. Hajnsek 10.5194/tc-18-3117-2024
- Seasonal Prediction and Predictability of Regional Antarctic Sea Ice M. Bushuk et al. 10.1175/JCLI-D-20-0965.1
- Assessing CryoSat‐2 Antarctic Snow Freeboard Retrievals Using Data From ICESat‐2 S. Fons et al. 10.1029/2021EA001728
- Modulation of the seasonal cycle of the Antarctic sea ice extent by sea ice processes and feedbacks with the ocean and the atmosphere H. Goosse et al. 10.5194/tc-17-407-2023
- Fast Ice Thickness Distribution in the Western Ross Sea in Late Spring P. Langhorne et al. 10.1029/2022JC019459
- Estimation of River Ice Thickness in the Shisifenzi Reach of the Yellow River With Remote Sensing and Air Temperature Data B. Liu et al. 10.1109/JSTARS.2023.3285229
- Antarctic ice-shelf advance driven by anomalous atmospheric and sea-ice circulation F. Christie et al. 10.1038/s41561-022-00938-x
- Parameterization, sensitivity, and uncertainty of 1-D thermodynamic thin-ice thickness retrieval T. Zhang et al. 10.1007/s13131-023-2210-x
- Deriving Antarctic Sea‐Ice Thickness From Satellite Altimetry and Estimating Consistency for NASA's ICESat/ICESat‐2 Missions Y. Xu et al. 10.1029/2021GL093425
- Estimating Early Summer Snow Depth on Sea Ice Using a Radiative Transfer Model and Optical Satellite Data M. Wang & N. Oppelt 10.3390/rs15205016
- Retrieval of snow depth on Antarctic sea ice from the FY-3D MWRI data Z. Yan et al. 10.1007/s13131-023-2179-5
- Monitoring Earth’s climate variables with satellite laser altimetry L. Magruder et al. 10.1038/s43017-023-00508-8
- A decade-plus of Antarctic sea ice thickness and volume estimates from CryoSat-2 using a physical model and waveform fitting S. Fons et al. 10.5194/tc-17-2487-2023
- Arctic Snow Depth, Ice Thickness, and Volume From ICESat‐2 and CryoSat‐2: 2018–2021 S. Kacimi & R. Kwok 10.1029/2021GL097448
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Latest update: 14 Nov 2024
Short summary
Our current understanding of Antarctic ice cover is largely informed by ice extent measurements from passive microwave sensors. These records, while useful, provide a limited picture of how the ice is responding to climate change. In this paper, we combine measurements from ICESat-2 and CryoSat-2 missions to assess snow depth and ice thickness of the Antarctic ice cover over an 8-month period (April through November 2019). The potential impact of salinity in the snow layer is discussed.
Our current understanding of Antarctic ice cover is largely informed by ice extent measurements...
