Articles | Volume 6, issue 6
https://doi.org/10.5194/tc-6-1507-2012
https://doi.org/10.5194/tc-6-1507-2012
Research article
 | 
14 Dec 2012
Research article |  | 14 Dec 2012

A method for sea ice thickness and concentration analysis based on SAR data and a thermodynamic model

J. Karvonen, B. Cheng, T. Vihma, M. Arkett, and T. Carrieres

Related subject area

Sea Ice
A collection of wet beam models for wave–ice interaction
Sasan Tavakoli and Alexander V. Babanin
The Cryosphere, 17, 939–958, https://doi.org/10.5194/tc-17-939-2023,https://doi.org/10.5194/tc-17-939-2023, 2023
Short summary
First results of Antarctic sea ice type retrieval from active and passive microwave remote sensing data
Christian Melsheimer, Gunnar Spreen, Yufang Ye, and Mohammed Shokr
The Cryosphere, 17, 105–126, https://doi.org/10.5194/tc-17-105-2023,https://doi.org/10.5194/tc-17-105-2023, 2023
Short summary
Analysis of micro-seismicity in sea ice with deep learning and Bayesian inference: application to high-resolution thickness monitoring
Ludovic Moreau, Léonard Seydoux, Jérôme Weiss, and Michel Campillo
The Cryosphere Discuss., https://doi.org/10.5194/tc-2022-212,https://doi.org/10.5194/tc-2022-212, 2022
Revised manuscript accepted for TC
Short summary
Linking scales of sea ice surface topography: evaluation of ICESat-2 measurements with coincident helicopter laser scanning during MOSAiC
Robert Ricker, Steven Fons, Arttu Jutila, Nils Hutter, Kyle Duncan, Sinead L. Farrell, Nathan T. Kurtz, and Renée Mie Fredensborg Hansen
EGUsphere, https://doi.org/10.5194/egusphere-2022-1122,https://doi.org/10.5194/egusphere-2022-1122, 2022
Short summary
Probabilistic spatiotemporal seasonal sea ice presence forecasting using sequence-to-sequence learning and ERA5 data in the Hudson Bay region
Nazanin Asadi, Philippe Lamontagne, Matthew King, Martin Richard, and K. Andrea Scott
The Cryosphere, 16, 3753–3773, https://doi.org/10.5194/tc-16-3753-2022,https://doi.org/10.5194/tc-16-3753-2022, 2022
Short summary

Cited articles

Andersen, S., Tonboe, R., Kaleschke, L., and Heygster, G.: Intercomparison of passive microwave sea ice concentration retrievals over the high-concentration Arctic sea ice, J. Geophys. Res., 112, C08004, https://doi.org/10.1029/2006JC003543, 2007.
Astola, J., Haavisto, P., and Neuvo, Y.: Vector median filters, P. IEEE, 78, 678–689, 1990.
Biazzi, B., Alparone, L., Baronti, S., and Borri, G.: Pyramid-based multi-resolution adaptive filters for additive and multiplicative image noise, IEEE T. Circuits-II, 45, 1092–1097, 1998.
Bitz, C. M., Holland, M. M., Weaver, A. J., and Eby, M.: Simulating the ice-thickness distribution in a coupled climate model, J. Geophys. Res., 106, 2441–2464, 2001.
Briegleb, B. P., Bitz, C. M., Hunke, E. C., Lipscomb, W. H., Holland, M. M., Schramm, J. L., and Moritz, R. E.: Scientific description of the sea ice component in the Community Climate System Model, Version Three. Tech. Rep. NCAR/TN-463+STR, National Center for Atmospheric Research, Boulder, CO, 78 pp., 2004.
Download