Articles | Volume 11, issue 5
The Cryosphere, 11, 2059–2073, 2017
https://doi.org/10.5194/tc-11-2059-2017
The Cryosphere, 11, 2059–2073, 2017
https://doi.org/10.5194/tc-11-2059-2017
Research article
04 Sep 2017
Research article | 04 Sep 2017

Comparison of CryoSat-2 and ENVISAT radar freeboard over Arctic sea ice: toward an improved Envisat freeboard retrieval

Kevin Guerreiro et al.

Related authors

Review of Radar Altimetry Techniques over the Arctic Ocean: Recent Progress and Future Opportunities for Sea Level and Sea Ice Research
Graham D. Quartly, Eero Rinne, Marcello Passaro, Ole B. Andersen, Salvatore Dinardo, Sara Fleury, Kevin Guerreiro, Amandine Guillot, Stefan Hendricks, Andrey A. Kurekin, Felix L. Müller, Robert Ricker, Henriette Skourup, and Michel Tsamados
The Cryosphere Discuss., https://doi.org/10.5194/tc-2018-148,https://doi.org/10.5194/tc-2018-148, 2018
Revised manuscript not accepted
Short summary

Related subject area

Sea Ice
Predictability of Arctic sea ice drift in coupled climate models
Simon Felix Reifenberg and Helge Friedrich Goessling
The Cryosphere, 16, 2927–2946, https://doi.org/10.5194/tc-16-2927-2022,https://doi.org/10.5194/tc-16-2927-2022, 2022
Short summary
Recovering and monitoring the thickness, density, and elastic properties of sea ice from seismic noise recorded in Svalbard
Agathe Serripierri, Ludovic Moreau, Pierre Boue, Jérôme Weiss, and Philippe Roux
The Cryosphere, 16, 2527–2543, https://doi.org/10.5194/tc-16-2527-2022,https://doi.org/10.5194/tc-16-2527-2022, 2022
Short summary
Influences of changing sea ice and snow thicknesses on simulated Arctic winter heat fluxes
Laura L. Landrum and Marika M. Holland
The Cryosphere, 16, 1483–1495, https://doi.org/10.5194/tc-16-1483-2022,https://doi.org/10.5194/tc-16-1483-2022, 2022
Short summary
Reassessing seasonal sea ice predictability of the Pacific-Arctic sector using a Markov model
Yunhe Wang, Xiaojun Yuan, Haibo Bi, Mitchell Bushuk, Yu Liang, Cuihua Li, and Haijun Huang
The Cryosphere, 16, 1141–1156, https://doi.org/10.5194/tc-16-1141-2022,https://doi.org/10.5194/tc-16-1141-2022, 2022
Short summary
A new state-dependent parameterization for the free drift of sea ice
Charles Brunette, L. Bruno Tremblay, and Robert Newton
The Cryosphere, 16, 533–557, https://doi.org/10.5194/tc-16-533-2022,https://doi.org/10.5194/tc-16-533-2022, 2022
Short summary

Cited articles

Alexandrov, V., Sandven, S., Wahlin, J., and Johannessen, O. M.: The relation between sea ice thickness and freeboard in the Arctic, The Cryosphere, 4, 373–380, https://doi.org/10.5194/tc-4-373-2010, 2010.
Andersen, O. B., Piccioni, G. L. S., and Knudsen, P.: The DTU15 Mean Sea Surface and Mean Dynamic Topography- focusing on Arctic issues and development, in: oral presentation, in the 2015 OSTST Meeting, 19–23 October 2015, Reston, USA, 2015.
Anderson, M., Bliss, A. C., and Tschudi, M.: MEaSUREs Arctic Sea Ice Characterization Daily 25 km EASE-Grid 2.0, Version 1. Boulder, Colorado USA, NASA National Snow and Ice Data Center Distributed Active Archive Center, https://doi.org/10.5067/MEASURES/CRYOSPHERE/nsidc-0532.001, 2014.
Beaven, S. G.: Sea Ice Radar Backscatter Modeling, Measurements, and the Fusion of Active and Passive Microwave Data., Tech. rep., DTIC Document, 1995.
Carrere, L., Lyard, F., Cancet, M., and Guillot, A.: FES 2014, a new tidal model on the global ocean with enhanced accuracy in shallow seas and in the Arctic region, in: EGU General Assembly Conference Abstracts, 12–17 April 2015, Vienna, Austria, vol. 17, p. 5481, 2015.
Download
Short summary
We analyse CryoSat-2 and Envisat freeboard height discrepancy over Arctic sea ice and we study the potential role of ice roughness. Based on our results, we build a CryoSat-2-like version of Envisat freeboard height. The improved Envisat freeboard is converted to sea ice draught and compared to in situ mooring observations to demonstrate the potential of our methodology to produce accurate ice thickness estimates over the 2002–2012 period.