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 11, issue 3
The Cryosphere, 11, 1247–1264, 2017
https://doi.org/10.5194/tc-11-1247-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
The Cryosphere, 11, 1247–1264, 2017
https://doi.org/10.5194/tc-11-1247-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 24 May 2017

Research article | 24 May 2017

Self-affine subglacial roughness: consequences for radar scattering and basal water discrimination in northern Greenland

Thomas M. Jordan et al.
Related authors  
A constraint upon the basal water distribution and thermal state of the Greenland Ice Sheet from radar bed echoes
Thomas M. Jordan, Christopher N. Williams, Dustin M. Schroeder, Yasmina M. Martos, Michael A. Cooper, Martin J. Siegert, John D. Paden, Philippe Huybrechts, and Jonathan L. Bamber
The Cryosphere, 12, 2831–2854, https://doi.org/10.5194/tc-12-2831-2018,https://doi.org/10.5194/tc-12-2831-2018, 2018
Short summary
An ice-sheet-wide framework for englacial attenuation from ice-penetrating radar data
T. M. Jordan, J. L. Bamber, C. N. Williams, J. D. Paden, M. J. Siegert, P. Huybrechts, O. Gagliardini, and F. Gillet-Chaulet
The Cryosphere, 10, 1547–1570, https://doi.org/10.5194/tc-10-1547-2016,https://doi.org/10.5194/tc-10-1547-2016, 2016
Short summary
Related subject area  
Remote Sensing
Regional influence of ocean–atmosphere teleconnections on the timing and duration of MODIS-derived snow cover in British Columbia, Canada
Alexandre R. Bevington, Hunter E. Gleason, Vanessa N. Foord, William C. Floyd, and Hardy P. Griesbauer
The Cryosphere, 13, 2693–2712, https://doi.org/10.5194/tc-13-2693-2019,https://doi.org/10.5194/tc-13-2693-2019, 2019
Short summary
Changes of the tropical glaciers throughout Peru between 2000 and 2016 – mass balance and area fluctuations
Thorsten Seehaus, Philipp Malz, Christian Sommer, Stefan Lippl, Alejo Cochachin, and Matthias Braun
The Cryosphere, 13, 2537–2556, https://doi.org/10.5194/tc-13-2537-2019,https://doi.org/10.5194/tc-13-2537-2019, 2019
Short summary
Estimating snow depth on Arctic sea ice using satellite microwave radiometry and a neural network
Anne Braakmann-Folgmann and Craig Donlon
The Cryosphere, 13, 2421–2438, https://doi.org/10.5194/tc-13-2421-2019,https://doi.org/10.5194/tc-13-2421-2019, 2019
Short summary
Suitability analysis of ski areas in China: an integrated study based on natural and socioeconomic conditions
Jie Deng, Tao Che, Cunde Xiao, Shijin Wang, Liyun Dai, and Akynbekkyzy Meerzhan
The Cryosphere, 13, 2149–2167, https://doi.org/10.5194/tc-13-2149-2019,https://doi.org/10.5194/tc-13-2149-2019, 2019
Short summary
The 2018 North Greenland polynya observed by a newly introduced merged optical and passive microwave sea-ice concentration dataset
Valentin Ludwig, Gunnar Spreen, Christian Haas, Larysa Istomina, Frank Kauker, and Dmitrii Murashkin
The Cryosphere, 13, 2051–2073, https://doi.org/10.5194/tc-13-2051-2019,https://doi.org/10.5194/tc-13-2051-2019, 2019
Short summary
Cited articles  
Aglyamov, Y., Schroeder, D. M., and Vance, S. D.: Bright prospects for radar detection of Europa's ocean, Icarus, 281, 334–337, https://doi.org/10.1016/j.icarus.2016.08.014, 2017.
Bamber, J. L., Griggs, J. A., Hurkmans, R. T. W. L., Dowdeswell, J. A., Gogineni, S. P., Howat, I., Mouginot, J., Paden, J., Palmer, S., Rignot, E., and Steinhage, D.: A new bed elevation dataset for Greenland, The Cryosphere, 7, 499–510, https://doi.org/10.5194/tc-7-499-2013, 2013a.
Bamber, J. L., Siegert, M. J., Griggs, J. A., Marshall, S. J., and Spada, G.: Paleofluvial Mega-Canyon Beneath the Central Greenland Ice Sheet, Science, 341, 997–1000, https://doi.org/10.1126/science.1239794, 2013b.
Berry, M. V.: The Statistical Properties of Echoes Diffracted from Rough Surfaces, Philos. T. Roy. Soc. A, 273, 611–654, https://doi.org/10.1098/rsta.1973.0019, 1973.
Bingham, R. G. and Siegert, M. J.: Quantifying subglacial bed roughness in Antarctica: implications for ice-sheet dynamics and history, Quaternary Sci. Rev., 28, 223–236, https://doi.org/10.1016/j.quascirev.2008.10.014, 2009.
Publications Copernicus
Download
Short summary
Using radio-echo sounding data from northern Greenland, we demonstrate that subglacial roughness exhibits self-affine (fractal) scaling behaviour. This enables us to assess topographic control upon the bed-echo waveform, and explain the spatial distribution of the degree of scattering (specular and diffuse reflections). Via comparison with a prediction for the basal thermal state (thawed and frozen regions of the bed) we discuss the consequences of our study for basal water discrimination.
Using radio-echo sounding data from northern Greenland, we demonstrate that subglacial roughness...
Citation