Articles | Volume 10, issue 2
https://doi.org/10.5194/tc-10-585-2016
© Author(s) 2016. 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-10-585-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
14 Mar 2016
Research article |
| 14 Mar 2016
Error assessment of satellite-derived lead fraction in the Arctic
Natalia Ivanova
CORRESPONDING AUTHOR
Nansen Environmental and Remote Sensing Center, and
Bjerknes Centre for Climate Research, Bergen, Norway
Pierre Rampal
Nansen Environmental and Remote Sensing Center, and
Bjerknes Centre for Climate Research, Bergen, Norway
Sylvain Bouillon
Nansen Environmental and Remote Sensing Center, and
Bjerknes Centre for Climate Research, Bergen, Norway
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Cited
18 citations as recorded by crossref.
- 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
- Characterization of north Greenland polynyas with super-resolved passive microwave sea ice concentration X. Liu et al. 10.1080/15481603.2023.2300222
- Assessing lead fraction derived from passive microwave images and improving estimates at pixel-wise level X. Zhao et al. 10.1016/j.rse.2024.114517
- An Analysis of Arctic Sea Ice Leads Retrieved from AMSR-E/AMSR2 M. Li et al. 10.3390/rs14040969
- Using the Neural Network Technique for Lead Detection in Radar Images of Arctic Sea Ice N. Zakhvatkina et al. 10.3103/S1068373924040083
- Sea ice leads in the Arctic Ocean: Model assessment, interannual variability and trends Q. Wang et al. 10.1002/2016GL068696
- Method for detection of leads from Sentinel-1 SAR images D. Murashkin et al. 10.1017/aog.2018.6
- The potential of sea ice leads as a predictor for summer Arctic sea ice extent Y. Zhang et al. 10.5194/tc-12-3747-2018
- Arctic Wintertime Sea Ice Lead Detection From Sentinel-1 SAR Images S. Chen et al. 10.1109/TGRS.2024.3444045
- The Detection and Characterization of Arctic Sea Ice Leads with Satellite Imagers J. Hoffman et al. 10.3390/rs11050521
- Atmospheric Response to Kilometer‐Scale Changes in Sea Ice Concentration Within the Marginal Ice Zone Y. Batrak & M. Müller 10.1029/2018GL078295
- Airborne measurements of directional reflectivity over the Arctic marginal sea ice zone S. Becker et al. 10.5194/amt-15-2939-2022
- A New Algorithm for Daily Sea Ice Lead Identification in the Arctic and Antarctic Winter from Thermal-Infrared Satellite Imagery F. Reiser et al. 10.3390/rs12121957
- Comparative Evaluation of Sea Ice Lead Detection Based on SAR Imagery and Altimeter Data N. Longepe et al. 10.1109/TGRS.2018.2889519
- Lead fractions from SAR-derived sea ice divergence during MOSAiC L. von Albedyll et al. 10.5194/tc-18-1259-2024
- Lead detection using Cryosat-2 delay-doppler processing and Sentinel-1 SAR images M. Passaro et al. 10.1016/j.asr.2017.07.011
- Spatio-temporal variability of small-scale leads based on helicopter maps of winter sea ice surface temperatures L. Thielke et al. 10.1525/elementa.2023.00023
- On retrieving sea ice freeboard from ICESat laser altimeter K. Khvorostovsky & P. Rampal 10.5194/tc-10-2329-2016
18 citations as recorded by crossref.
- 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
- Characterization of north Greenland polynyas with super-resolved passive microwave sea ice concentration X. Liu et al. 10.1080/15481603.2023.2300222
- Assessing lead fraction derived from passive microwave images and improving estimates at pixel-wise level X. Zhao et al. 10.1016/j.rse.2024.114517
- An Analysis of Arctic Sea Ice Leads Retrieved from AMSR-E/AMSR2 M. Li et al. 10.3390/rs14040969
- Using the Neural Network Technique for Lead Detection in Radar Images of Arctic Sea Ice N. Zakhvatkina et al. 10.3103/S1068373924040083
- Sea ice leads in the Arctic Ocean: Model assessment, interannual variability and trends Q. Wang et al. 10.1002/2016GL068696
- Method for detection of leads from Sentinel-1 SAR images D. Murashkin et al. 10.1017/aog.2018.6
- The potential of sea ice leads as a predictor for summer Arctic sea ice extent Y. Zhang et al. 10.5194/tc-12-3747-2018
- Arctic Wintertime Sea Ice Lead Detection From Sentinel-1 SAR Images S. Chen et al. 10.1109/TGRS.2024.3444045
- The Detection and Characterization of Arctic Sea Ice Leads with Satellite Imagers J. Hoffman et al. 10.3390/rs11050521
- Atmospheric Response to Kilometer‐Scale Changes in Sea Ice Concentration Within the Marginal Ice Zone Y. Batrak & M. Müller 10.1029/2018GL078295
- Airborne measurements of directional reflectivity over the Arctic marginal sea ice zone S. Becker et al. 10.5194/amt-15-2939-2022
- A New Algorithm for Daily Sea Ice Lead Identification in the Arctic and Antarctic Winter from Thermal-Infrared Satellite Imagery F. Reiser et al. 10.3390/rs12121957
- Comparative Evaluation of Sea Ice Lead Detection Based on SAR Imagery and Altimeter Data N. Longepe et al. 10.1109/TGRS.2018.2889519
- Lead fractions from SAR-derived sea ice divergence during MOSAiC L. von Albedyll et al. 10.5194/tc-18-1259-2024
- Lead detection using Cryosat-2 delay-doppler processing and Sentinel-1 SAR images M. Passaro et al. 10.1016/j.asr.2017.07.011
- Spatio-temporal variability of small-scale leads based on helicopter maps of winter sea ice surface temperatures L. Thielke et al. 10.1525/elementa.2023.00023
- On retrieving sea ice freeboard from ICESat laser altimeter K. Khvorostovsky & P. Rampal 10.5194/tc-10-2329-2016
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Latest update: 13 Dec 2024
Short summary
Accurate observations of lead fraction are of high importance for model evaluation and/or assimilation into models. In this work, consistent quantitative error estimation of an existing lead fraction data set obtained from passive microwave observations is completed using Synthetic Aperture Radar data. A significant bias in the data set is found, and possible improvement in the methodology is suggested, so that the pixel-wise error is reduced by a factor of 2 on average.
Accurate observations of lead fraction are of high importance for model evaluation and/or...
