Articles | Volume 15, issue 2
The Cryosphere, 15, 821–833, 2021
https://doi.org/10.5194/tc-15-821-2021
The Cryosphere, 15, 821–833, 2021
https://doi.org/10.5194/tc-15-821-2021
Research article
18 Feb 2021
Research article | 18 Feb 2021

Refining the sea surface identification approach for determining freeboards in the ICESat-2 sea ice products

Ron Kwok et al.

Related authors

The Antarctic sea ice cover from ICESat-2 and CryoSat-2: freeboard, snow depth, and ice thickness
Sahra Kacimi and Ron Kwok
The Cryosphere, 14, 4453–4474, https://doi.org/10.5194/tc-14-4453-2020,https://doi.org/10.5194/tc-14-4453-2020, 2020
Short summary
Three years of sea ice freeboard, snow depth, and ice thickness of the Weddell Sea from Operation IceBridge and CryoSat-2
Ron Kwok and Sahra Kacimi
The Cryosphere, 12, 2789–2801, https://doi.org/10.5194/tc-12-2789-2018,https://doi.org/10.5194/tc-12-2789-2018, 2018
Short summary
Intercomparison of snow depth retrievals over Arctic sea ice from radar data acquired by Operation IceBridge
Ron Kwok, Nathan T. Kurtz, Ludovic Brucker, Alvaro Ivanoff, Thomas Newman, Sinead L. Farrell, Joshua King, Stephen Howell, Melinda A. Webster, John Paden, Carl Leuschen, Joseph A. MacGregor, Jacqueline Richter-Menge, Jeremy Harbeck, and Mark Tschudi
The Cryosphere, 11, 2571–2593, https://doi.org/10.5194/tc-11-2571-2017,https://doi.org/10.5194/tc-11-2571-2017, 2017
Short summary

Related subject area

Discipline: Sea ice | Subject: Sea Ice
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
Arctic sea ice sensitivity to lateral melting representation in a coupled climate model
Madison M. Smith, Marika Holland, and Bonnie Light
The Cryosphere, 16, 419–434, https://doi.org/10.5194/tc-16-419-2022,https://doi.org/10.5194/tc-16-419-2022, 2022
Short summary
Retrieval and parameterisation of sea-ice bulk density from airborne multi-sensor measurements
Arttu Jutila, Stefan Hendricks, Robert Ricker, Luisa von Albedyll, Thomas Krumpen, and Christian Haas
The Cryosphere, 16, 259–275, https://doi.org/10.5194/tc-16-259-2022,https://doi.org/10.5194/tc-16-259-2022, 2022
Short summary

Cited articles

Farrell, S. L., Laxon, S. W., McAdoo, D. C., Yi, D., and Zwally, H. J.: Five years of Arctic sea ice freeboard measurements from the Ice, Cloud and land Elevation Satellite, J. Geophys. Res., 114, C04008, https://doi.org/10.1029/2008jc005074, 2009. 
Kurtz, N. T., Farrell, S. L., Studinger, M., Galin, N., Harbeck, J. P., Lindsay, R., Onana, V. D., Panzer, B., and Sonntag, J. G.: Sea ice thickness, freeboard, and snow depth products from Operation IceBridge airborne data, The Cryosphere, 7, 1035–1056, https://doi.org/10.5194/tc-7-1035-2013, 2013. 
Kwok, R., Cunningham, G. F., Zwally, H. J., and Yi, D.: Ice, Cloud, and land Elevation Satellite (ICESat) over Arctic sea ice: Retrieval of freeboard, J. Geophys. Res., 112, C12013, https://doi.org/10.1029/2006jc003978, 2007. 
Kwok, R., Cunningham, G. F., Manizade, S. S., and Krabill, W. B.: Arctic sea ice freeboard from IceBridge acquisitions in 2009: Estimates and comparisons with ICESat, J. Geophys. Res., 117, C02018, https://doi.org/10.1029/2011jc007654, 2012. 
Kwok, R., Markus, T., Morison, J., Palm, S. P., Neumann, T. A., Brunt, K. M., Cook, W. B., Hancock, D. W., and Cunningham, G. F.: Profiling Sea Ice with a Multiple Altimeter Beam Experimental Lidar (MABEL), J. Atmos. Ocean. Tech., 31, 1151–1168, https://doi.org/10.1175/jtech-d-13-00120.1, 2014.