Articles | Volume 17, issue 3
https://doi.org/10.5194/tc-17-1411-2023
https://doi.org/10.5194/tc-17-1411-2023
Research article
 | 
31 Mar 2023
Research article |  | 31 Mar 2023

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

Related authors

Arctic sea ice mass balance in a new coupled ice–ocean model using a brittle rheology framework
Guillaume Boutin, Einar Ólason, Pierre Rampal, Heather Regan, Camille Lique, Claude Talandier, Laurent Brodeau, and Robert Ricker
The Cryosphere, 17, 617–638, https://doi.org/10.5194/tc-17-617-2023,https://doi.org/10.5194/tc-17-617-2023, 2023
Short summary
Sea surface height anomaly and geostrophic current velocity from altimetry measurements over the Arctic Ocean (2011–2020)
Francesca Doglioni, Robert Ricker, Benjamin Rabe, Alexander Barth, Charles Troupin, and Torsten Kanzow
Earth Syst. Sci. Data, 15, 225–263, https://doi.org/10.5194/essd-15-225-2023,https://doi.org/10.5194/essd-15-225-2023, 2023
Short summary
A comparison between Envisat and ICESat sea ice thickness in the Southern Ocean
Jinfei Wang, Chao Min, Robert Ricker, Qian Shi, Bo Han, Stefan Hendricks, Renhao Wu, and Qinghua Yang
The Cryosphere, 16, 4473–4490, https://doi.org/10.5194/tc-16-4473-2022,https://doi.org/10.5194/tc-16-4473-2022, 2022
Short summary
Rain on snow (ROS) understudied in sea ice remote sensing: a multi-sensor analysis of ROS during MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate)
Julienne Stroeve, Vishnu Nandan, Rosemary Willatt, Ruzica Dadic, Philip Rostosky, Michael Gallagher, Robbie Mallett, Andrew Barrett, Stefan Hendricks, Rasmus Tonboe, Michelle McCrystall, Mark Serreze, Linda Thielke, Gunnar Spreen, Thomas Newman, John Yackel, Robert Ricker, Michel Tsamados, Amy Macfarlane, Henna-Reetta Hannula, and Martin Schneebeli
The Cryosphere, 16, 4223–4250, https://doi.org/10.5194/tc-16-4223-2022,https://doi.org/10.5194/tc-16-4223-2022, 2022
Short summary
Wind Transport of Snow Impacts Ka- and Ku-band Radar Signatures on Arctic Sea Ice
Vishnu Nandan, Rosemary Willatt, Robbie Mallett, Julienne Stroeve, Torsten Geldsetzer, Randall Scharien, Rasmus Tonboe, Jack Landy, David Clemens-Sewall, Arttu Jutila, David N. Wagner, Daniela Krampe, Marcus Huntemann, John Yackel, Mallik Mahmud, David Jensen, Thomas Newman, Stefan Hendricks, Gunnar Spreen, Amy Macfarlane, Martin Schneebeli, James Mead, Robert Ricker, Michael Gallagher, Claude Duguay, Ian Raphael, Chris Polashenski, Michel Tsamados, Ilkka Matero, and Mario Hoppman
The Cryosphere Discuss., https://doi.org/10.5194/tc-2022-116,https://doi.org/10.5194/tc-2022-116, 2022
Revised manuscript accepted for TC
Short summary

Related subject area

Discipline: Sea ice | Subject: Sea Ice
Spatial characteristics of frazil streaks in the Terra Nova Bay Polynya from high-resolution visible satellite imagery
Katarzyna Bradtke and Agnieszka Herman
The Cryosphere, 17, 2073–2094, https://doi.org/10.5194/tc-17-2073-2023,https://doi.org/10.5194/tc-17-2073-2023, 2023
Short summary
Modelling the evolution of Arctic multiyear sea ice over 2000–2018
Heather Regan, Pierre Rampal, Einar Ólason, Guillaume Boutin, and Anton Korosov
The Cryosphere, 17, 1873–1893, https://doi.org/10.5194/tc-17-1873-2023,https://doi.org/10.5194/tc-17-1873-2023, 2023
Short summary
A quasi-objective single-buoy approach for understanding Lagrangian coherent structures and sea ice dynamics
Nikolas O. Aksamit, Randall K. Scharien, Jennifer K. Hutchings, and Jennifer V. Lukovich
The Cryosphere, 17, 1545–1566, https://doi.org/10.5194/tc-17-1545-2023,https://doi.org/10.5194/tc-17-1545-2023, 2023
Short summary
Analysis of microseismicity 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, 17, 1327–1341, https://doi.org/10.5194/tc-17-1327-2023,https://doi.org/10.5194/tc-17-1327-2023, 2023
Short summary
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

Cited articles

Andersen, O. B.: DTU21 Mean Sea Surface, DTU Data [data set], https://doi.org/10.11583/DTU.19383221.v1, 2022. a
Andersen, O. B., Rose, S. K., Knudsen, P., and Stenseng, L.: The DTU18 MSS Mean Sea Surface improvement from SAR altimetry, https://ftp.space.dtu.dk/pub/DTU18/MSS_MATERIAL/PRESENTATIONS/DTU18MSS-V2.pdf (last access: 24 March 2023), 2018. a
Castellani, G., Lüpkes, C., Hendricks, S., and Gerdes, R.: Variability of Arctic sea-ice topography and its impact on the atmospheric surface drag, J. Geophys. Res.-Oceans, 119, 6743–6762, https://doi.org/10.1002/2013JC009712, 2014. a, b
Di Bella, A., Skourup, H., Bouffard, J., and Parrinello, T.: Uncertainty reduction of Arctic sea ice freeboard from CryoSat-2 interferometric mode, Adv. Space Res., 62, 1251–1264, https://doi.org/10.1016/j.asr.2018.03.018, 2018. a
Duncan, K. and Farrell, S. L.: Determining Variability in Arctic Sea Ice Pressure Ridge Topography with ICESat-2, Geophys. Res. Lett., 49, e2022GL100272, https://doi.org/10.1029/2022GL100272, 2022. a, b, c, d, e, f, g
Download
Short summary
Information on sea ice surface topography is important for studies of sea ice as well as for ship navigation through ice. The ICESat-2 satellite senses the sea ice surface with six laser beams. To examine the accuracy of these measurements, we carried out a temporally coincident helicopter flight along the same ground track as the satellite and measured the sea ice surface topography with a laser scanner. This showed that ICESat-2 can see even bumps of only few meters in the sea ice cover.