Skip to main content
×
Home

High-resolution bed topography mapping of Russell Glacier, Greenland, inferred from Operation IceBridge data

  • M. Morlighem (a1), E. Rignot (a1) (a2), J. Mouginot (a1), X. Wu (a2), H. Seroussi (a2), E. Larour (a2) and J. Paden (a3)...
Abstract
Abstract

Detailed maps of bed elevation and ice thickness are essential for understanding and projecting the evolution of the ice sheets. Such maps are traditionally obtained using airborne radar-sounding profiler data interpolated onto regular grids using geostatistical tools such as kriging. Here we compare three mapping techniques applied to a dense radar survey of Russell Glacier, West Greenland, by NASA Operation IceBridge: (1) radar tomography (RT) processing of the radar data to map the bed elevation, (2) interpolation of radar-derived thickness by ordinary kriging (KR) and (3) reconstruction of ice thickness based on the principles of mass conservation (MC) combining radar-sounding profiler and ice motion data. RT eliminates ambiguities caused by off-nadir reflections, but is spatially limited. KR yields a standard error in bed elevation of 35 m, but large errors (>300 m a−1) in flux divergence when combined with ice motion data. MC yields a comparable performance in bed elevation mapping, and errors smaller than 1 m a−1 in flux divergence. When the number of radar-sounding tracks is reduced, the performance of KR decreases more rapidly than for MC. Our study site shows that MC is capable of maintaining precision levels of 60 m at 400 m posting with flight tracks separated by 5 km.

  • View HTML
    • Send article to Kindle

      To send this article to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle.

      Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

      Find out more about the Kindle Personal Document Service.

      High-resolution bed topography mapping of Russell Glacier, Greenland, inferred from Operation IceBridge data
      Available formats
      ×
      Send article to Dropbox

      To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your Dropbox account. Find out more about sending content to Dropbox.

      High-resolution bed topography mapping of Russell Glacier, Greenland, inferred from Operation IceBridge data
      Available formats
      ×
      Send article to Google Drive

      To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your Google Drive account. Find out more about sending content to Google Drive.

      High-resolution bed topography mapping of Russell Glacier, Greenland, inferred from Operation IceBridge data
      Available formats
      ×
Copyright
References
Hide All
Bamber JL, Layberry RL and Gogineni SP (2001) A new ice thickness and bed data set for the Greenland ice sheet. 1. Measurement, data reduction, and errors. J. Geophys. Res., 106(D24), 33 77333 780 (doi: 10.1029/2001JD900054)
Bamber JL and 10 others (2013) A new bed elevation dataset for Greenland. Cryosphere, 7(2), 499510 (doi: 10.5194/tc-7-499-2013)
Blatter H (1995) Velocity and stress fields in grounded glaciers: a simple algorithm for including deviatoric stress gradients. J. Glaciol., 41(138), 333344
Cook SJ and Swift DA (2012) Subglacial basins: their origin and importance in glacial systems and landscapes. Earth-Sci. Rev., 115(4), 332372
Deutsch CV and Journel AG (1998) GSLIB geostatistical software library and user’s guide. Oxford University Press, New York
Durand G, Gagliardini O, Favier L, Zwinger T and Le Meur E (2011) Impact of bedrock description on modeling ice sheet dynamics. Geophys. Res. Lett., 38(20), L20501 (doi: 10.1029/2011GL048892)
Ettema J and 6 others (2009) Higher surface mass balance of the Greenland ice sheet revealed by high-resolution climate modelling. Geophys. Res. Lett., 36(12), L12501 (doi: 10.1029/2009GL038110)
Fretwell P and 59 others (2013) Bedmap2: improved ice bed, surface and thickness datasets for Antarctica. Cryosphere, 7(1), 375393 (doi: 10.5194/tc-7-375-2013)
Gogineni S and 9 others (2001) Coherent radar ice thickness measurements over the Greenland ice sheet. J. Geophys. Res., 106(D24), 33 76133 772 (doi: 10.1029/2001JD900183)
Griggs JA and Bamber JL (2011) Antarctic ice-shelf thickness from satellite radar altimetry. J. Glaciol., 57(203), 485498 (doi: 10.3189/002214311796905659)
Hansen PC (2001) The L-curve and its use in the numerical treatment on inverse problems. In Johnston PR ed. Computational inverse problems in electrocardiography. (Advances in Computational Bioengineering 5) WIT Press, Southampton, 119142
Herzfeld UC, Wallin BF, Leuschen CJ and Plummer J (2011) An algorithm for generalizing topography to grids while preserving subscale morphologic characteristics – creating a glacier bed DEM for Jakobshavn trough as low-resolution input for dynamic ice-sheet models. Comput. Geosci., 37(11), 17931801 (doi: 10.1016/j.cageo.2011.02.021)
Joughin I, Smith BE and Abdalati W (2010) Glaciological advances made with interferometric synthetic aperture radar. J. Glaciol., 56(200), 10261042 (doi: 10.3189/002214311796406158)
Leuschen C, Gogineni P, Rodriguez F, Paden J and Allen C (2011) IceBridge MCoRDS L2 Ice Thickness. National Snow and Ice Data Center, Boulder, CO. http://nsidc.org/data/irmcr2.html
MacAyeal DR (1993) A tutorial on the use of control methods in ice-sheet modeling. J. Glaciol., 39(131), 9198
Morlighem M, Rignot E, Seroussi H, Larour E, Ben Dhia H and Aubry D (2010) Spatial patterns of basal drag inferred using control methods from a full-Stokes and simpler models for Pine Island Glacier, West Antarctica. Geophys. Res. Lett., 37(14), L14502 (doi: 10.1029/2010GL043853)
Morlighem M, Rignot E, Seroussi H, Larour E, Ben Dhia H and Aubry D (2011) A mass conservation approach for mapping glacier ice thickness. Geophys. Res. Lett., 38(19), L19503 (doi: 10.1029/2011GL048659)
Paden J, Akins T, Dunson D, Allen C and Gogineni S (2010) Ice-sheet bed 3-D tomography. J. Glaciol., 56(195), 311 (doi: 10.3189/002214310791190811)
Pattyn F (2003) A new three-dimensional higher-order thermomechanical ice-sheet model: basic sensitivity, ice stream development, and ice flow across subglacial lakes. J. Geophys. Res., 108(B8), 2382 (doi: 10.1029/2002JB002329)
Pritchard HD, Arthern RJ, Vaughan DG and Edwards LA (2009) Extensive dynamic thinning on the margins of the Greenland and Antarctic ice sheets. Nature, 461(7266), 971975 (doi: 10.1038/nature08471)
Rasmussen LA (1988) Bed topography and mass-balance distribution of Columbia Glacier, Alaska, U.S.A., determined from sequential aerial photography. J. Glaciol., 34(117), 208216
Rignot E and Mouginot J (2012) Ice flow in Greenland for the International Polar Year 2008–2009. Geophys. Res. Lett., 39(11), L11501 (doi: 10.1029/2012GL051634)
Seroussi H and 6 others (2011) Ice flux divergence anomalies on 79north Glacier, Greenland. Geophys. Res. Lett., 38(9), L09501 (doi: 10.1029/2011GL047338)
Wu X, Jezek KC, Rodriguez E, Gogineni S, Rodriguez-Morales F and Freeman A (2011) Ice sheet bed mapping with airborne SAR tomography. IEEE Trans. Geosci. Remote Sens., 49(10, Pt 1), 37913802 (doi: 10.1109/TGRS.2011.2132802)
Recommend this journal

Email your librarian or administrator to recommend adding this journal to your organisation's collection.

Journal of Glaciology
  • ISSN: 0022-1430
  • EISSN: 1727-5652
  • URL: /core/journals/journal-of-glaciology
Please enter your name
Please enter a valid email address
Who would you like to send this to? *
×

Metrics

Full text views

Total number of HTML views: 3
Total number of PDF views: 8 *
Loading metrics...

Abstract views

Total abstract views: 31 *
Loading metrics...

* Views captured on Cambridge Core between 10th July 2017 - 23rd November 2017. This data will be updated every 24 hours.