Data Set ID:
IDBMG4

IceBridge BedMachine Greenland, Version 3

This data set contains a bed topography/bathymetry map of Greenland based on mass conservation, multi-beam data, and other techniques. It also includes surface elevation and ice thickness data, as well as an ice/ocean/land mask.

This is the most recent version of these data.

Version Summary:

Version 3 includes ocean bathymetry all around Greenland based on data from NASA’s Ocean Melting Greenland (OMG) and other campaigns of bathymetry measurements. The subglacial bed topography has also been updated by including more ice thickness data and constraining the ice thickness at the ice/ocean interface based on bathymetry data when available.

Overview

Parameter(s):
  • BATHYMETRY/SEAFLOOR TOPOGRAPHY > BATHYMETRY
  • TOPOGRAPHY > TERRAIN ELEVATION > BED ELEVATION
  • CRYOSPHERIC INDICATORS > GLACIAL MEASUREMENTS > GLACIER/ICE SHEET THICKNESS
  • TOPOGRAPHY > TERRAIN ELEVATION > Surface Elevation
Data Format(s):
  • NetCDF
Spatial Coverage:
N: 90, 
S: 60, 
E: 10, 
W: -80
Platform(s):DC-8, P-3B
Spatial Resolution:
  • 150 m x 150 m
Sensor(s):MCoRDS
Temporal Coverage:
  • 1 January 1993 to 31 December 2016
(updated 2018)		Version(s):V3
Temporal ResolutionNot specifiedMetadata XML:View Metadata Record
Data Contributor(s):Mathieu Morlighem

Citing These Data

As a condition of using these data, you must cite the use of this data set using the following citation. For more information, see our Use and Copyright Web page.

Morlighem, M. et al. 2017, updated 2018. IceBridge BedMachine Greenland, Version 3. [Indicate subset used]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. doi: https://doi.org/10.5067/2CIX82HUV88Y. [Date Accessed].

Literature Citation

As a condition of using these data, we request that you acknowledge the author(s) of this data set by referencing the following peer-reviewed publication.

  • Morlighem, M., C. Williams, E. Rignot, L. An, J. E. Arndt, J. Bamber, G. Catania, N. Chauché, J. A. Dowdeswell, B. Dorschel, I. Fenty, K. Hogan, I. Howat, A. Hubbard, M. Jakobsson, T. M. Jordan, K. K. Kjeldsen, R. Millan, L. Mayer, J. Mouginot, B. Noël, C. O'Cofaigh, S. J. Palmer, S. Rysgaard, H. Seroussi, M. J. Siegert, P. Slabon, F. Straneo, M. R. van den Broeke, W. Weinrebe, M. Wood, and K. Zinglersen. 2017. BedMachine v3: Complete bed topography and ocean bathymetry mapping of Greenland from multi-beam echo sounding combined with mass conservation, Geophysical Research Letters. 44. . https://doi.org/10.1002/2017GL074954

Documentation

Detailed Data Description

Format

The data are stored in one netCDF (.nc) file named BedMachineGreenland-2017-09-20.nc.

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File Size

The data file is approximately 2.1 GB.

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Spatial Coverage

Spatial coverage for this data set currently includes Greenland and the Arctic.

Greenland/Arctic:
Southernmost Latitude: 60° N
Northernmost Latitude: 90° N
Westernmost Longitude: 80° W
Easternmost Longitude: 10° E

Spatial Resolution

The output product is generated at 150 m resolution. The true resolution varies between 150 m and 5 km.

Projection and Grid Description

Polar Stereographic North (70° N, 45° W), corresponding to EPSG 3413.

Heights are with respect to mean sea level (i.e., not the WGS84 ellipsoid).

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Temporal Coverage

The data were collected between 01 January 1993 and 31 December 2016. The nominal year of this data set is 2007.

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Parameter or Variable

Parameter Description

The BedMachine data file contains parameters as described in Table 1.

Table 1. File Parameters and Units
Parameter Name Description Units
bed Bed elevation (bed topography) Meters
errbed Bed topography/ice thickness error Meters
geoid Geoid height above WGS84 Ellipsoid Meters
mask mask (0 = ocean; 1 = ice-free land; 2 = grounded ice; 3 = floating ice; 4 = non-Greenland land) Flag values (0 - 4)
source data source, Mass Conservation/kriging/bathymetry: (0 = none; 1 = gimpdem; 2 = Mass conservation; 3 = synthetic; 4 = interpolation; 5 = hydrostatic equilibrium; 6 = kriging; 7 = RTOPO-2; 8 = gravity inversion; 10+ = bathymetry data) Flag values (0 - 40)
surface Ice surface elevation Meters
thickness Ice thickness Meters
x projection y coordinate Meters
y projection y coordinate Meters

Sample Data Record

Figure 1 illustrates Greenland bedrock altitude and ice thickness.

Figure 1. Greenland Bedrock Altitude and Ice Thickness

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Data Access and Tools

See the NetCDF Resources at NSIDC page for tools to work with netCDF files.

The netCDF data file is compatible with HDF5 libraries, and can be read by HDF readers such as HDFView. If the netCDF file reader you are using does not read the data, see http://www.unidata.ucar.edu/software/netcdf/ and http://nsidc.org/data/netcdf/tools.html for information on updating the reader.

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Data Acquisition and Processing

Data Acquisition Methods

Source data used in deriving this product include:

  • Operation IceBridge radar-derived thickness data, posted at 30 – 60 m, with a vertical precision of 30 m, collected by the MCoRDS radar (IceBridge MCoRDS L2 Ice Thickness; IRMCR2).
  • Ice thickness data from the Doppler focused radar of the Technical University of Denmark (DTU) for the region of 79 North (Thomsen et al., 1997; Christensen et al., 2000) and Russell (Lindbäck et al., 2014).
  • Ice thickness data from the High CApability Radar Sounder (HiCARS; Peters et al., 2005; Peters et al., 2007) operated by the University of Texas, Institute for Geophysics
  • Ice thickness data from the Pathfinder Advanced Radar Ice Sounder (PARIS; Raney, 2010)
  • Ice thickness data from the Alfred Wegener Institute (AWI; Nixdorf et al., 1999)
  • Ice thickness data from Uppsala University (UU; Lindbäck et al., 2014), collected in the vicinity of Russell Gletscher
  • Multibeam echo sounding data from Oceans Melting Greenland (OMG Mission, 2016) along the coast of West and Southeast Greenland
  • Bathymetry data from Slabon et al. (2016) along the Northwest coast
  • Bathymetry data from Weinrebe et al. (2009) in Torssukataq and Uummannaq Fjords
  • Bathymetry data from O’Cofaigh et al. (2013) in Uummannaq Fjord
  • Bathymetry data from Dowdeswell et al. (2014), Rignot et al. (2015), Fried et al. (2015), and Rignot et al. (2016) in Uummannaq Fjord
  • Bathymetry data from Schumann et al. (2012), Holland et al. (2008) and Straneo et al. (2012) in Illulisat Icefjord
  • Bathymetry data from Mix et al. (2015) in front of Petermann Fjord and the adjacent Hall Basin
  • Bathymetry data from Sutherland et al. (2014) near Kangerdlussuaq
  • Bathymetry data from Dowdeswell et al. (2016) in Nordvestfjord
  • Bathymetry data from Chauché et al. (2014) near Lille Gletscher
  • Bathymetry data from Straneo et al. (2016) in Sermilik fjord
  • Bathymetry data from Motyka et al. (2017) in Godthåbsfjord
  • Bathymetry data from Stevens et al. (2016) in Sarqardleq fjord
  • Bathymetry data from Kjeldsen et al. (2017) in Timmiarmiut Fjord, Heimdal Glacier and Skjoldungen Fjord
  • Bathymetry data from Rysgaard et al. (2003) in Young Sound fjord
  • Bathymetry data from Bendtsen et al. (2017) near Flade Isblink Ice Cap
  • Single beam bathymetry data from Sutherland and Pickart (2008) on the continental shelf along the Southeast coast
  • Single beam data from Olex (www.olex.no) and crowd sourced data from fishing and recreational vessels (MaxSea).
  • Ice velocity measurements derived from satellite radar data collected during 2008-2009, posted at 150 m, with errors of 10 m yr-1 in speed and 1.5° in flow direction (Mouginot et al., 2017):
    • Japanese Advanced Land Observing System (ALOS) PALSAR
    • Canadian RADARSAT-1 SAR
    • German TerraSAR-X
    • European Envisat Advanced SAR (ASAR)

Ancillary products used include:

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Derivation Techniques and Algorithms

Sparse, airborne, radar sounding-derived ice thickness data are combined with comprehensive, high-resolution, ice motion derived from satellite interferometric synthetic-aperture radar to calculate ice thickness based on Mass Conservation (MC). The MC method solves the mass conservation equation to derive ice thickness, while at the same time minimizing departure from the original radar-derived ice thickness data. The algorithm conserves mass fluxes while minimizing the departure from the original radar-derived ice thickness data. Ice surface motion provides a physical basis for extrapolating sparse ice thickness data to larger areas with few or no data. The method works best in areas of fast flow, where errors in flow direction are small and the glaciers slide on the bed. In the interior regions, where errors in flow direction are larger, kriging is used to interpolate ice thickness (Morlighem et al., 2014).

Ocean bathymetry is mapped by combining sparse bathymetry measurements from single and multibeam measurements and casts and RTopo-2 (Schaffer et al., 2016).

The algorithm neglects ice motion by internal shear, which is an excellent approximation for fast-flowing glaciers (>100 m yr-1) (Morlighem et al., 2014).

The bed topography is derived by subtracting the ice thickness from the Greenland Mapping Project (GIMP) Digital Elevation Model (https://byrd.osu.edu/research/groups/glacier-dynamics/data/gimpdem).

Version History

On 19 May 2015, the IceBridge BedMachine Greenland data were replaced by Version 2. Version 2 includes improved processing of some basins and adds some Operation IceBridge 2014 data. Heights are now provided with respect to mean sea level, instead of the WGS84 ellipsoid. The geoid is included in an additional field in the data.

On 25 September 2017, the IceBridge BedMachine Greenland data were replaced by Version 3. Version 3 now includes ocean bathymetry all around Greenland based on data from NASA’s Ocean Melting Greenland (OMG) and other campaigns of bathymetry measurements. The subglacial bed topography has also been updated by including more ice thickness data and constraining the ice thickness at the ice/ocean interface based on bathymetry data when available.

Error Sources

Sources of error include error in ice velocity direction and magnitude, error in surface mass balance and ice thinning rates.

In a trial setting with unusually dense radar sounding coverage, we report errors in the MC-inferred thickness of 36 m, only slightly higher than that of the original data. In areas less well constrained by radar-derived thickness data, or constrained by only one track of data, for example, in south Greenland, errors may exceed 50 m (Morlighem et al., 2013).

No or very little data were available for some fjords, and uncertainty may be high (>500 m).

An error estimate of the bed elevation and ice thickness is provided in the data set, illustrated in Figure 2.

Figure 2. Error Estimate of Greenland Bed Elevation and Ice Thickness

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Sensor or Instrument Description

The Center for Remote Sensing of Ice Sheets (CReSIS) Multichannel Coherent Radar Depth Sounder (MCoRDS) operates over a 180 to 210 MHz frequency range with multiple receivers developed for airborne sounding and imaging of ice sheets. See IceBridge MCoRDS L2 Ice Thickness (IRMCR2) for further information on the MCoRDS radar and the Level-2 data.

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References and Related Publications

Bendtsen, J., J. Mortensen, K. Lennert, J. K.Ehn, W. Boone, V. Galindo, Y. Hu, I. A. Dmitrenko, S. A. Kirillov, K. K. Kjeldsen, Y. Kristoffersen, D. G.Barber, and S. Rysgaard. 2017. Sea ice breakup and marine melt of a retreating tidewater outlet glacier in northeast Greenland (81°N), Scientific Reports, 7(1), 4941, doi:10.1038/s41598.

Chauché, N., A. Hubbard, J.-C. Gascard, J. E. Box, R. Bates, M. Koppes, A. Sole, P. Christoffersen, and H. Patton. 2014. Ice-ocean interaction and calving front morphology at two west Greenland tidewater outlet glaciers, Cryosphere, 8(4):1457–1468, doi:10.5194/tc-8-1457-2014.

Christensen, E. L., et al. 2000. A low-cost glacier-mapping system, Journal of Glaciology, 46:531.

Dowdeswell, J. A., K. A. Hogan, C. O'Cofaigh, E. M. G. Fugelli, J. Evans, and R. Noormets. 2014. Late Quaternary ice flow in a West Greenland fjord and cross- shelf trough system: submarine landforms from Rink Isbrae to Uummannaq shelf and slope, Quat. Sci. Rev., 92(SI), 292–309.

Dowdeswell, J. A., C. L. Batchelor, K. A. Hogan, and H. W. Schenke. 2016. Atlas of Submarine Glacial Landforms: Modern, Quaternary and Ancient, vol. 46, chap. Nord- vestfjord: a major East Greenland fjord system, pp. 43–44, Geological Society, London, Memoirs, doi:10.1144/M46.40.

Ettema, J. et al. 2009. Higher surface mass balance of the Greenland Ice Sheet revealed by high-resolution climate modeling. Geophysical Research Letters, 36:1–5.

Fried, M. J., G. A. Catania, T. C. Bartholomaus, D. Duncan, M. Davis, L. A. Stearns, J. Nash, E. Shroyer, and D. Sutherland. 2015. Distributed subglacial discharge drives significant submarine melt at a Greenland tidewater glacier, Geophys. R, 42(21), 9328– 9336, doi:10.1002/2015GL065806, 2015GL065806.

Holland, D., R. Thomas, B. De Young, M. Ribergaard, and B. Lyberth. 2008. Acceleration of Jakobshavn Isbrae triggered by warm subsurface ocean waters, Nat. Geosci., 1(10), 659–664, doi:10.1038/ngeo316.

Howat, I.M., A. Negrete, B.E. Smith. 2014. The Greenland Ice Mapping Project (GIMP) land classification and surface elevation data sets, The Cryosphere, 8:1509-1518, doi:10.5194/tc-8-1509-2014.

Jakobsson, M., et al. 2012. The International Bathymetric Chart of the Arctic Ocean (IBCAO) Version 3.0, Geophysical Research Letters, 39(12), doi: 10.1029/2012GL052219.

Khan, S. A., K. H. Kjaer, M. Bevis, J. L. Bamber, J. Wahr, K. K. Kjeldsen, A. A. Bjork, N. J. Korsgaard, L. A. Stearns, M. R. van den Broeke, L. Liu, N. K. Larsen, and I. S. Muresan. 2014. Sustained mass loss of the northeast Greenland ice sheet triggered by regional warming, Nat. Clim. Change, 4(4), 292–299, doi:10.1038/nclimate2161.

Kjeldsen, K. K., W. Weinrebe, J. Bendtsen, A. A. Bjørk, and K. H. Kjær. 2017. Multi- beam Bathymetry and CTD-Measurements in two fjord systems in Southeast Greenland, Earth Syst. Sci. Data Disc., 2017, 1–25, doi:10.5194/essd-2017-29.

Lindbäck, K., R. Pettersson, S. H. Doyle, C. Helanow, P. Jansson, S. S. Kristensen, L. Stenseng, R. Forsberg, and A. L. Hubbard. 2014. High-resolution ice thickness and bed topography of a land-terminating section of the Greenland Ice Sheet, Earth System Science Data, 6:331-338, doi:10.5194/essd-6-331-2014.

Mix, A. C., M. Jakobsson, and the Petermann-2015 Scientific Party. 2015. Petermann-2015 Expedition Launches International Collaboration in Arctic Science, Tech. rep., Arctic Research Consortium of the United States.

Morlighem M. et al. 2017. BedMachine v3: Complete bed topography and ocean bathymetry mapping of Greenland from multi-beam echo sounding combined with mass conservation, Geophys. Res. Lett., 44, doi:10.1002/2017GL074954. (http://onlinelibrary.wiley.com/doi/10.1002/2017GL074954/full)

Morlighem, M., E. Rignot, and J. Willis. 2016b. Improving bed topography mapping of Greenland glaciers using NASA’s Oceans Melting Greenland (OMG) data, Oceanography, 29.

Morlighem, M., E. Rignot, J. Mouginot, H. Seroussi and E. Larour. 2014. Deeply incised submarine glacial valleys beneath the Greenland Ice Sheet, Nature Geoscience, 7:418-422. doi:10.1038/ngeo2167.

Morlighem, M, E. Rignot, J Mouginot, H. Seroussi, and E. Larour. 2014. High-resolution ice thickness mapping in South Greenland. Annals of Glaciology, 55(67):1–7.

Morlighem, M, E. Rignot, J. Mouginot, X. Wu, H. Seroussi, E. Larour, and J. Paden. 2013. High-resolution bed topography mapping of Russell Glacier, Greenland, inferred from Operation IceBridge data. Journal of Glaciology, 59(218):1015–1023.

Morlighem, M, E. Rignot, H. Seroussi, E. Larour, H. Ben Dhia, and D. Aubry. 2011. A mass conservation approach for mapping glacier ice thickness. Geophysical Research Letters, 38(L19503):1–6.

Motyka, R. J., R. Cassotto, M. Truffer, K. K. Kjeldsen, D. Van As, N. J. Korsgaard, M. Fahnestock, I. Howat, P. L. Langen, J. Mortensen, , K. Lennert, and S. Rys- gaard. 2017. Asynchronous behavior of outlet glaciers feeding Godthåbsfjord (NuupKangerlua) and the triggering of Narsap Sermia’s retreat in SW Greenland, J. Glaciol., 63(238), 288308, doi:10.1017/jog.2016.138.

Mouginot, J., E. Rignot, B. Scheuchl, and R. Millan. 2017. Comprehensive Annual Ice Sheet Velocity Mapping Using Landsat-8, Sentinel-1, and RADARSAT-2 Data, Remote Sens., 9(4), doi:10.3390/rs9040364.

Nixdorf, U., D. Steinhage, U. Meyer, L. Hempel, M. Jenett, P. Wachs, and H. Miller. 1999. The newly developed airborne radio-echo sounding system of the AWI as a glaciological tool, Ann. Glaciol., 29, 231–238, doi:10.3189/172756499781821346

Noël, B., W. J. van de Berg, H. Machguth, S. Lhermitte, I. Howat, X. Fettweis, and M. R. van den Broeke. 2016.  A daily, 1 km resolution data set of downscaled Greenland ice sheet surface mass balance (1958–2015), Cryosphere, 10(5), 2361–2377, doi:10.5194/tc-10-2361-2016.

O’Cofaigh, C., J. A. Dowdeswell, A. E. Jennings, K. A. Hogan, A. Kilfeather, J. F. Hiem- stra, R. Noormets, J. Evans, D. J. McCarthy, J. T. Andrews, J. M. Lloyd, and M. Moros. 2013. An extensive and dynamic ice sheet on the West Greenland shelf during the last glacial cycle, Geology, 41(2), 219–222.

OMG Mission. 2016. Bathymetry (sea floor depth) data from the ship-based bathymetry survey. Ver. 0.1. OMG SDS, CA, USA http://dx.doi.org/10.5067/OMGEV-BTYSS.

Peters, M., D. Blankenship, and D. Morse. 2005. Analysis techniques for coherent air- borne radar sounding: Application to West Antarctic ice streams, J. Geophys. Res., 110(B6), doi:10.1029/2004JB003222.

Peters, M. E., D. D. Blankenship, S. P. Carter, S. D. Kempf, D. A. Young, and J. W. Holt. 2007. Along-track focusing of airborne radar sounding data from West Antarctica for improving basal reflection analysis and layer detection, IEEE Trans. Geosc. and Rem.Sens., 45(9), 2725–2736, doi:10.1109/TGRS.2007.897416.

Raney, K. 2010. IceBridge PARIS L2 ice thickness. version 1.0, doi: 10.5067/OMEAKG6GIJNB, Boulder, Colorado USA: NASA DAAC at the National Snow and Ice Data Center

Rignot, E. and J. Mouginot. 2012. Ice flow in Greenland for the International Polar Year 2008–2009. Geophysical Research Letters, 39:L11501.

Rignot, E., I. Fenty, Y. Xu, C. Cai, and C. Kemp. 2015. Undercutting of marine-terminating glaciers in West Greenland, Geophys. Res. Lett., 42(14), 5909–5917, doi:10.1002/2015GL064236.

Rignot, E., I. Fenty, Y. Xu, C. Cai, I. Velicogna, C. O'Cofaigh, J. A. Dowdeswell, W. Weinrebe, G. Catania, and D. Duncan. 2016. Bathymetry data reveal glaciers vulnerable to ice-ocean interaction in Uummannaq and Vaigat glacial fjords, west Greenland, Geophys. Res. Lett., 43(6), 2667–2674.

Rysgaard, S., T. Vang, M. Stjernholm, B. Rasmussen, A. Windelin, and S. Kiilsholm. 2003. Physical conditions, carbon transport, and climate change impacts in a northeast Greenland fjord, Arctic Ant. Alp. Res., 35(3), 301–312, doi:10.1657/1523- 0430(2003)035[0301:PCCTAC]2.0.CO;2.

Schaffer, J., R. Timmermann, J. E. Arndt, S. S. Kristensen, C. Mayer, M. Morlighem, and D. Steinhage. 2016. A global, high-resolution data set of ice sheet topography, cavity geometry, and ocean bathymetry, Earth Syst. Sci. Data, 8(2), 543–557, doi:10.5194/essd- 8-543-2016.

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Schumann, K., D. Voelker, and W. R. Weinrebe. 2012. Acoustic mapping of the Ilulissat Ice Fjord mouth, West Greenland, Quat. Sci. Rev., 40, 78–88.

Slabon, P., B. Dorschel, W. Jokat, R. Myklebust, D. Hebbeln, and C. Gebhardt. 2016. Greenland ice sheet retreat history in the northeast Baffin Bay based on high-resolution bathymetry, Quat. Sci. Rev., 154, 182 – 198, doi: http://doi.org/10.1016/j.quascirev.2016.10.022.

Stevens, L. A., F. Straneo, S. B. Das, A. J. Plueddemann, A. L. Kukulya, and M. Morlighem. 2016. Linking glacially modified waters to catchment-scale subglacial discharge using autonomous underwater vehicle observations, Cryosphere, 10(1), 417– 432, doi:10.5194/tc-10-417-2016.

Straneo, F., D. A. Sutherland, D. Holland, C. Gladish, G. S. Hamilton, H. L. Johnson, E. Rignot, Y. Xu, and M. Koppes. 2012. Characteristics of ocean waters reaching Greenland’s glaciers, Ann. Glaciol., 53(60, 2), 202–210.

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Contacts and Acknowledgments

Contributor(s) / Investigator(s): 

Mathieu Morlighem
Department of Earth System Science
University of California, Irvine
Irvine CA, 92617, USA

Acknowledgments: 

This work was performed at the University of California Irvine under a contract with the NASA Cryospheric Sciences Program (#NNX15AD55G), and the National Science Foundation’s ARCSS program (#1504230), and in cooperation with the University of Bristol as part of the Basal Properties of Greenland project (NERC grant NE/M000869/1).

We would like to thank GRISO RCN (Greenland Ice Sheet Ocean Research Coordination Network) for their help in finding available bathymetry data.

Document Information

Document Creation Date

September 2017

Document Revision Date

January 2019

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