Journal cover Journal topic
The Cryosphere An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 4.790 IF 4.790
  • IF 5-year value: 5.921 IF 5-year
    5.921
  • CiteScore value: 5.27 CiteScore
    5.27
  • SNIP value: 1.551 SNIP 1.551
  • IPP value: 5.08 IPP 5.08
  • SJR value: 3.016 SJR 3.016
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 63 Scimago H
    index 63
  • h5-index value: 51 h5-index 51
Volume 10, issue 3
The Cryosphere, 10, 1161–1179, 2016
https://doi.org/10.5194/tc-10-1161-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
The Cryosphere, 10, 1161–1179, 2016
https://doi.org/10.5194/tc-10-1161-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 31 May 2016

Research article | 31 May 2016

Characterizing Arctic sea ice topography using high-resolution IceBridge data

Alek A. Petty et al.

Related authors

Inter-comparison of snow depth over sea ice from multiple methods
Lu Zhou, Julienne Stroeve, Shiming Xu, Alek Petty, Rachel Tilling, Mai Winstrup, Philip Rostosky, Isobel R. Lawrence, Glen E. Liston, Andy Ridout, Michel Tsamados, and Vishnu Nandan
The Cryosphere Discuss., https://doi.org/10.5194/tc-2020-65,https://doi.org/10.5194/tc-2020-65, 2020
Preprint under review for TC
Short summary
The NASA Eulerian Snow on Sea Ice Model (NESOSIM) v1.0: initial model development and analysis
Alek A. Petty, Melinda Webster, Linette Boisvert, and Thorsten Markus
Geosci. Model Dev., 11, 4577–4602, https://doi.org/10.5194/gmd-11-4577-2018,https://doi.org/10.5194/gmd-11-4577-2018, 2018
The Arctic sea ice cover of 2016: a year of record-low highs and higher-than-expected lows
Alek A. Petty, Julienne C. Stroeve, Paul R. Holland, Linette N. Boisvert, Angela C. Bliss, Noriaki Kimura, and Walter N. Meier
The Cryosphere, 12, 433–452, https://doi.org/10.5194/tc-12-433-2018,https://doi.org/10.5194/tc-12-433-2018, 2018
Short summary
Arctic Ocean surface geostrophic circulation 2003–2014
Thomas W. K. Armitage, Sheldon Bacon, Andy L. Ridout, Alek A. Petty, Steven Wolbach, and Michel Tsamados
The Cryosphere, 11, 1767–1780, https://doi.org/10.5194/tc-11-1767-2017,https://doi.org/10.5194/tc-11-1767-2017, 2017
Short summary

Related subject area

Sea Ice
Prediction of monthly Arctic sea ice concentrations using satellite and reanalysis data based on convolutional neural networks
Young Jun Kim, Hyun-Cheol Kim, Daehyeon Han, Sanggyun Lee, and Jungho Im
The Cryosphere, 14, 1083–1104, https://doi.org/10.5194/tc-14-1083-2020,https://doi.org/10.5194/tc-14-1083-2020, 2020
Short summary
Variability scaling and consistency in airborne and satellite altimetry measurements of Arctic sea ice
Shiming Xu, Lu Zhou, and Bin Wang
The Cryosphere, 14, 751–767, https://doi.org/10.5194/tc-14-751-2020,https://doi.org/10.5194/tc-14-751-2020, 2020
Short summary
Sea ice volume variability and water temperature in the Greenland Sea
Valeria Selyuzhenok, Igor Bashmachnikov, Robert Ricker, Anna Vesman, and Leonid Bobylev
The Cryosphere, 14, 477–495, https://doi.org/10.5194/tc-14-477-2020,https://doi.org/10.5194/tc-14-477-2020, 2020
Short summary
Sea ice export through the Fram Strait derived from a combined model and satellite data set
Chao Min, Longjiang Mu, Qinghua Yang, Robert Ricker, Qian Shi, Bo Han, Renhao Wu, and Jiping Liu
The Cryosphere, 13, 3209–3224, https://doi.org/10.5194/tc-13-3209-2019,https://doi.org/10.5194/tc-13-3209-2019, 2019
Short summary
Estimating early-winter Antarctic sea ice thickness from deformed ice morphology
M. Jeffrey Mei, Ted Maksym, Blake Weissling, and Hanumant Singh
The Cryosphere, 13, 2915–2934, https://doi.org/10.5194/tc-13-2915-2019,https://doi.org/10.5194/tc-13-2915-2019, 2019
Short summary

Cited articles

Aaboe, S., Breivik, L-A., Sørensen, A., Eastwood, S., and Lavergne, T.: Global Sea Ice Edge and Type Product User's Manual, Product OSI-403-b, EUMETSAT Ocean and Sea Ice Satellite Application Facility available at: http://saf.met.no/docs/osisaf_cdop2_ss2_pum_ice-edge-type_v1p1.pdf, 2015.
Arya, S. P. S.: Contribution of form drag on pressure ridges to the air stress on Arctic ice, J. Geophys. Res., 78, 7092–7099, https://doi.org/10.1029/JC078i030p07092, 1973.
Beckers, J. F., Renner, A. H. H., Spreen, G., Gerland, S., and Haas, C.: Sea-ice surface roughness estimates from airborne laser scanner and laser altimeter observations in Fram Strait and north of Svalbard, Ann. Glaciol., 56, 235–244, https://doi.org/10.3189/2015AoG69A717, 2015.
Brooks, C., Beckley, M., Blair, J. B., and Hofton., M.: IceBridge LVIS POS/AV L1B Corrected Position and Altitude Data, Version 1 [2009–2014], Boulder, Colorado USA: NASA DAAC at the National Snow and Ice Data Center, https://doi.org/10.5067/2NWNMDSG5EPJ, (updated 2015), 2012.
Publications Copernicus
Download
Short summary
This study presents an analysis of Arctic sea ice topography using high-resolution, three-dimensional surface elevation data from the Airborne Topographic Mapper (ATM) laser altimeter, flown as part of NASA's Operation IceBridge mission. We describe and implement a newly developed sea ice surface feature-picking algorithm and derive novel information regarding the height, volume and geometry of surface features over the western Arctic sea ice cover.
This study presents an analysis of Arctic sea ice topography using high-resolution,...
Citation