Articles | Volume 9, issue 2
https://doi.org/10.5194/tc-9-663-2015
© 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-9-663-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| Highlight paper
| 
09 Apr 2015
Research article | Highlight paper |
| 09 Apr 2015
On producing sea ice deformation data sets from SAR-derived sea ice motion
Nansen Environmental and Remote Sensing Center, Bergen, Norway
Bjerknes Centre for Climate Research, Bergen, Norway
P. Rampal
Nansen Environmental and Remote Sensing Center, Bergen, Norway
Bjerknes Centre for Climate Research, Bergen, Norway
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Cited
31 citations as recorded by crossref.
- Toward Optimization of Rheology in Sea Ice Models through Data Assimilation J. Stroh et al. 10.1175/JTECH-D-18-0239.1
- On the statistical properties of sea-ice lead fraction and heat fluxes in the Arctic E. Ólason et al. 10.5194/tc-15-1053-2021
- neXtSIM: a new Lagrangian sea ice model P. Rampal et al. 10.5194/tc-10-1055-2016
- Arctic Sea Ice Drift Measured by Shipboard Marine Radar B. Lund et al. 10.1029/2018JC013769
- Sea ice drift and deformation in the coastal boundary zone A. Oikkonen et al. 10.1002/2016GL069632
- Object-Based Detection of Linear Kinematic Features in Sea Ice S. Linow & W. Dierking 10.3390/rs9050493
- Sea Ice Rheology Experiment (SIREx): 1. Scaling and Statistical Properties of Sea‐Ice Deformation Fields A. Bouchat et al. 10.1029/2021JC017667
- Comparing Arctic Sea Ice Model Simulations to Satellite Observations by Multiscale Directional Analysis of Linear Kinematic Features M. Mohammadi-Aragh et al. 10.1175/MWR-D-19-0359.1
- Sea-ice deformation in a coupled ocean–sea-ice model and in satellite remote sensing data G. Spreen et al. 10.5194/tc-11-1553-2017
- Cross-platform classification of level and deformed sea ice considering per-class incident angle dependency of backscatter intensity W. Guo et al. 10.5194/tc-16-237-2022
- A Framework for the Development, Design and Implementation of a Sustained Arctic Ocean Observing System C. Lee et al. 10.3389/fmars.2019.00451
- A Review on Applications of Imaging Synthetic Aperture Radar with a Special Focus on Cryospheric Studies S. Jawak et al. 10.4236/ars.2015.42014
- Estimating statistical errors in retrievals of ice velocity and deformation parameters from satellite images and buoy arrays W. Dierking et al. 10.5194/tc-14-2999-2020
- Small‐scale sea ice deformation during N‐ICE2015: From compact pack ice to marginal ice zone A. Oikkonen et al. 10.1002/2016JC012387
- Opportunistic evaluation of modelled sea ice drift using passively drifting telemetry collars in Hudson Bay, Canada R. Togunov et al. 10.5194/tc-14-1937-2020
- Linking scales in sea ice mechanics J. Weiss & V. Dansereau 10.1098/rsta.2015.0352
- Presentation of the dynamical core of neXtSIM, a new sea ice model S. Bouillon & P. Rampal 10.1016/j.ocemod.2015.04.005
- A quasi-objective single-buoy approach for understanding Lagrangian coherent structures and sea ice dynamics N. Aksamit et al. 10.5194/tc-17-1545-2023
- Impact of Sea Ice Drift Retrieval Errors, Discretization and Grid Type on Calculations of Ice Deformation J. Griebel & W. Dierking 10.3390/rs10030393
- Lead fractions from SAR-derived sea ice divergence during MOSAiC L. von Albedyll et al. 10.5194/tc-18-1259-2024
- Reassessing the Quality of Sea‐Ice Deformation Estimates Derived From the RADARSAT Geophysical Processor System and Its Impact on the Spatiotemporal Scaling Statistics A. Bouchat & B. Tremblay 10.1029/2019JC015944
- Scaling Properties of Arctic Sea Ice Deformation in a High‐Resolution Viscous‐Plastic Sea Ice Model and in Satellite Observations N. Hutter et al. 10.1002/2017JC013119
- Using sea‐ice deformation fields to constrain the mechanical strength parameters of geophysical sea ice A. Bouchat & B. Tremblay 10.1002/2017JC013020
- Impact of rheology on probabilistic forecasts of sea ice trajectories: application for search and rescue operations in the Arctic M. Rabatel et al. 10.5194/tc-12-935-2018
- Wave–sea-ice interactions in a brittle rheological framework G. Boutin et al. 10.5194/tc-15-431-2021
- Method to characterize directional changes in Arctic sea ice drift and associated deformation due to synoptic atmospheric variations using Lagrangian dispersion statistics J. Lukovich et al. 10.5194/tc-11-1707-2017
- On the multi-fractal scaling properties of sea ice deformation P. Rampal et al. 10.5194/tc-13-2457-2019
- Wave–ice interactions in the neXtSIM sea-ice model T. Williams et al. 10.5194/tc-11-2117-2017
- Contribution of Deformation to Sea Ice Mass Balance: A Case Study From an N‐ICE2015 Storm P. Itkin et al. 10.1002/2017GL076056
- Leads and ridges in Arctic sea ice from RGPS data and a new tracking algorithm N. Hutter et al. 10.5194/tc-13-627-2019
- Application of Feature Tracking Using K-Nearest-Neighbor Vector Field Consensus in Sea Ice Tracking B. He et al. 10.1109/JSTARS.2022.3178117
31 citations as recorded by crossref.
- Toward Optimization of Rheology in Sea Ice Models through Data Assimilation J. Stroh et al. 10.1175/JTECH-D-18-0239.1
- On the statistical properties of sea-ice lead fraction and heat fluxes in the Arctic E. Ólason et al. 10.5194/tc-15-1053-2021
- neXtSIM: a new Lagrangian sea ice model P. Rampal et al. 10.5194/tc-10-1055-2016
- Arctic Sea Ice Drift Measured by Shipboard Marine Radar B. Lund et al. 10.1029/2018JC013769
- Sea ice drift and deformation in the coastal boundary zone A. Oikkonen et al. 10.1002/2016GL069632
- Object-Based Detection of Linear Kinematic Features in Sea Ice S. Linow & W. Dierking 10.3390/rs9050493
- Sea Ice Rheology Experiment (SIREx): 1. Scaling and Statistical Properties of Sea‐Ice Deformation Fields A. Bouchat et al. 10.1029/2021JC017667
- Comparing Arctic Sea Ice Model Simulations to Satellite Observations by Multiscale Directional Analysis of Linear Kinematic Features M. Mohammadi-Aragh et al. 10.1175/MWR-D-19-0359.1
- Sea-ice deformation in a coupled ocean–sea-ice model and in satellite remote sensing data G. Spreen et al. 10.5194/tc-11-1553-2017
- Cross-platform classification of level and deformed sea ice considering per-class incident angle dependency of backscatter intensity W. Guo et al. 10.5194/tc-16-237-2022
- A Framework for the Development, Design and Implementation of a Sustained Arctic Ocean Observing System C. Lee et al. 10.3389/fmars.2019.00451
- A Review on Applications of Imaging Synthetic Aperture Radar with a Special Focus on Cryospheric Studies S. Jawak et al. 10.4236/ars.2015.42014
- Estimating statistical errors in retrievals of ice velocity and deformation parameters from satellite images and buoy arrays W. Dierking et al. 10.5194/tc-14-2999-2020
- Small‐scale sea ice deformation during N‐ICE2015: From compact pack ice to marginal ice zone A. Oikkonen et al. 10.1002/2016JC012387
- Opportunistic evaluation of modelled sea ice drift using passively drifting telemetry collars in Hudson Bay, Canada R. Togunov et al. 10.5194/tc-14-1937-2020
- Linking scales in sea ice mechanics J. Weiss & V. Dansereau 10.1098/rsta.2015.0352
- Presentation of the dynamical core of neXtSIM, a new sea ice model S. Bouillon & P. Rampal 10.1016/j.ocemod.2015.04.005
- A quasi-objective single-buoy approach for understanding Lagrangian coherent structures and sea ice dynamics N. Aksamit et al. 10.5194/tc-17-1545-2023
- Impact of Sea Ice Drift Retrieval Errors, Discretization and Grid Type on Calculations of Ice Deformation J. Griebel & W. Dierking 10.3390/rs10030393
- Lead fractions from SAR-derived sea ice divergence during MOSAiC L. von Albedyll et al. 10.5194/tc-18-1259-2024
- Reassessing the Quality of Sea‐Ice Deformation Estimates Derived From the RADARSAT Geophysical Processor System and Its Impact on the Spatiotemporal Scaling Statistics A. Bouchat & B. Tremblay 10.1029/2019JC015944
- Scaling Properties of Arctic Sea Ice Deformation in a High‐Resolution Viscous‐Plastic Sea Ice Model and in Satellite Observations N. Hutter et al. 10.1002/2017JC013119
- Using sea‐ice deformation fields to constrain the mechanical strength parameters of geophysical sea ice A. Bouchat & B. Tremblay 10.1002/2017JC013020
- Impact of rheology on probabilistic forecasts of sea ice trajectories: application for search and rescue operations in the Arctic M. Rabatel et al. 10.5194/tc-12-935-2018
- Wave–sea-ice interactions in a brittle rheological framework G. Boutin et al. 10.5194/tc-15-431-2021
- Method to characterize directional changes in Arctic sea ice drift and associated deformation due to synoptic atmospheric variations using Lagrangian dispersion statistics J. Lukovich et al. 10.5194/tc-11-1707-2017
- On the multi-fractal scaling properties of sea ice deformation P. Rampal et al. 10.5194/tc-13-2457-2019
- Wave–ice interactions in the neXtSIM sea-ice model T. Williams et al. 10.5194/tc-11-2117-2017
- Contribution of Deformation to Sea Ice Mass Balance: A Case Study From an N‐ICE2015 Storm P. Itkin et al. 10.1002/2017GL076056
- Leads and ridges in Arctic sea ice from RGPS data and a new tracking algorithm N. Hutter et al. 10.5194/tc-13-627-2019
- Application of Feature Tracking Using K-Nearest-Neighbor Vector Field Consensus in Sea Ice Tracking B. He et al. 10.1109/JSTARS.2022.3178117
Saved (final revised paper)
Latest update: 18 Apr 2024
Short summary
We present a new method to compute sea ice deformation fields from satellite-derived motion. The method particularly reduces the artificial noise that arises along discontinuities in the sea ice motion field. We estimate that this artificial noise may cause an overestimation of about 60% of sea ice opening and closing. The constant overestimation of the opening and closing could have led in previous studies to a large overestimation of freezing in leads, salt rejection and sea ice ridging.
We present a new method to compute sea ice deformation fields from satellite-derived motion. The...
