Articles | Volume 12, issue 8
https://doi.org/10.5194/tc-12-2789-2018
© Author(s) 2018. 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-12-2789-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
30 Aug 2018
Research article |
| 30 Aug 2018
Three years of sea ice freeboard, snow depth, and ice thickness of the Weddell Sea from Operation IceBridge and CryoSat-2
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA
Sahra Kacimi
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA
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Cited
22 citations as recorded by crossref.
- Snow Thickness Estimation on First-Year Sea Ice from Late Winter Spaceborne Scatterometer Backscatter Variance J. Yackel et al. 10.3390/rs11040417
- Snow Property Controls on Modeled Ku-Band Altimeter Estimates of First-Year Sea Ice Thickness: Case Studies From the Canadian and Norwegian Arctic V. Nandan et al. 10.1109/JSTARS.2020.2966432
- Unpiloted Aerial Vehicle Retrieval of Snow Depth Over Freshwater Lake Ice Using Structure From Motion G. Gunn et al. 10.3389/frsen.2021.675846
- Assessing CryoSat‐2 Antarctic Snow Freeboard Retrievals Using Data From ICESat‐2 S. Fons et al. 10.1029/2021EA001728
- Simulated Ka- and Ku-band radar altimeter height and freeboard estimation on snow-covered Arctic sea ice R. Tonboe et al. 10.5194/tc-15-1811-2021
- Estimating snow depth on Arctic sea ice using satellite microwave radiometry and a neural network A. Braakmann-Folgmann & C. Donlon 10.5194/tc-13-2421-2019
- Implications of surface flooding on airborne estimates of snow depth on sea ice A. Rösel et al. 10.5194/tc-15-2819-2021
- Latest Altimetry-Based Sea Ice Freeboard and Volume Inter-Annual Variability in the Antarctic over 2003–2020 F. Garnier et al. 10.3390/rs14194741
- Brief communication: Conventional assumptions involving the speed of radar waves in snow introduce systematic underestimates to sea ice thickness and seasonal growth rate estimates R. Mallett et al. 10.5194/tc-14-251-2020
- A Textural Approach to Improving Snow Depth Estimates in the Weddell Sea M. Mei & T. Maksym 10.3390/rs12091494
- Arctic Sea Ice Freeboard Estimation and Variations From Operation IceBridge S. Zhang et al. 10.1109/TGRS.2022.3185230
- A comparison between Envisat and ICESat sea ice thickness in the Southern Ocean J. Wang et al. 10.5194/tc-16-4473-2022
- Fully automated snow depth measurements from time-lapse images applying a convolutional neural network M. Kopp et al. 10.1016/j.scitotenv.2019.134213
- Freeboard height and snow depth observed by floating GPS on land-fast sea ice in Nella Fjord, Antarctica Q. Zhang et al. 10.1017/aog.2020.41
- Temporal and spatial changes of the basal channel of the Getz Ice Shelf in Antarctica derived from multi-source data Z. Wang et al. 10.1007/s13131-022-1989-1
- Sea-ice freeboard and thickness in the Ross Sea from airborne (IceBridge 2013) and satellite (ICESat 2003–2008) observations L. Tian et al. 10.1017/aog.2019.49
- The Scientific Legacy of NASA’s Operation IceBridge J. MacGregor et al. 10.1029/2020RG000712
- The Antarctic sea ice cover from ICESat-2 and CryoSat-2: freeboard, snow depth, and ice thickness S. Kacimi & R. Kwok 10.5194/tc-14-4453-2020
- Evaluation of sea-ice thickness from four reanalyses in the Antarctic Weddell Sea Q. Shi et al. 10.5194/tc-15-31-2021
- A review of the scientific knowledge of the seascape off Dronning Maud Land, Antarctica A. Lowther et al. 10.1007/s00300-022-03059-8
- An Improved Algorithm for the Retrieval of the Antarctic Sea Ice Freeboard and Thickness from ICESat-2 Altimeter Data X. Pang et al. 10.3390/rs14051069
- 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
22 citations as recorded by crossref.
- Snow Thickness Estimation on First-Year Sea Ice from Late Winter Spaceborne Scatterometer Backscatter Variance J. Yackel et al. 10.3390/rs11040417
- Snow Property Controls on Modeled Ku-Band Altimeter Estimates of First-Year Sea Ice Thickness: Case Studies From the Canadian and Norwegian Arctic V. Nandan et al. 10.1109/JSTARS.2020.2966432
- Unpiloted Aerial Vehicle Retrieval of Snow Depth Over Freshwater Lake Ice Using Structure From Motion G. Gunn et al. 10.3389/frsen.2021.675846
- Assessing CryoSat‐2 Antarctic Snow Freeboard Retrievals Using Data From ICESat‐2 S. Fons et al. 10.1029/2021EA001728
- Simulated Ka- and Ku-band radar altimeter height and freeboard estimation on snow-covered Arctic sea ice R. Tonboe et al. 10.5194/tc-15-1811-2021
- Estimating snow depth on Arctic sea ice using satellite microwave radiometry and a neural network A. Braakmann-Folgmann & C. Donlon 10.5194/tc-13-2421-2019
- Implications of surface flooding on airborne estimates of snow depth on sea ice A. Rösel et al. 10.5194/tc-15-2819-2021
- Latest Altimetry-Based Sea Ice Freeboard and Volume Inter-Annual Variability in the Antarctic over 2003–2020 F. Garnier et al. 10.3390/rs14194741
- Brief communication: Conventional assumptions involving the speed of radar waves in snow introduce systematic underestimates to sea ice thickness and seasonal growth rate estimates R. Mallett et al. 10.5194/tc-14-251-2020
- A Textural Approach to Improving Snow Depth Estimates in the Weddell Sea M. Mei & T. Maksym 10.3390/rs12091494
- Arctic Sea Ice Freeboard Estimation and Variations From Operation IceBridge S. Zhang et al. 10.1109/TGRS.2022.3185230
- A comparison between Envisat and ICESat sea ice thickness in the Southern Ocean J. Wang et al. 10.5194/tc-16-4473-2022
- Fully automated snow depth measurements from time-lapse images applying a convolutional neural network M. Kopp et al. 10.1016/j.scitotenv.2019.134213
- Freeboard height and snow depth observed by floating GPS on land-fast sea ice in Nella Fjord, Antarctica Q. Zhang et al. 10.1017/aog.2020.41
- Temporal and spatial changes of the basal channel of the Getz Ice Shelf in Antarctica derived from multi-source data Z. Wang et al. 10.1007/s13131-022-1989-1
- Sea-ice freeboard and thickness in the Ross Sea from airborne (IceBridge 2013) and satellite (ICESat 2003–2008) observations L. Tian et al. 10.1017/aog.2019.49
- The Scientific Legacy of NASA’s Operation IceBridge J. MacGregor et al. 10.1029/2020RG000712
- The Antarctic sea ice cover from ICESat-2 and CryoSat-2: freeboard, snow depth, and ice thickness S. Kacimi & R. Kwok 10.5194/tc-14-4453-2020
- Evaluation of sea-ice thickness from four reanalyses in the Antarctic Weddell Sea Q. Shi et al. 10.5194/tc-15-31-2021
- A review of the scientific knowledge of the seascape off Dronning Maud Land, Antarctica A. Lowther et al. 10.1007/s00300-022-03059-8
- An Improved Algorithm for the Retrieval of the Antarctic Sea Ice Freeboard and Thickness from ICESat-2 Altimeter Data X. Pang et al. 10.3390/rs14051069
- 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
Latest update: 24 Sep 2023
Short summary
The variability of snow depth and ice thickness in three years of repeat surveys of an IceBridge (OIB) transect across the Weddell Sea is examined. Retrieved thicknesses suggest a highly variable but broadly thicker ice cover compared to that inferred from drilling and ship-based measurements. The use of lidar and radar altimeters to estimate snow depth for thickness calculations is analyzed, and the need for better characterization of biases due to radar penetration effects is highlighted.
The variability of snow depth and ice thickness in three years of repeat surveys of an IceBridge...
