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ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Greenland Surface Elevation Change from Cryosat-2, v2.0

Latest Data Update: 2016-11-29
Status: Superseded
Online Status: ONLINE
Publication State: Published
Publication Date: 2016-11-30
Download Stats: last 12 months
Dataset Size: 23 Files | 43MB

This dataset has been superseded. See Latest Version here

This data set is part of the ESA Greenland Ice sheet CCI project. The data set provides surface elevation changes (SEC) for the Greenland Ice sheet derived from Cryosat 2 satellite radar altimetry, for the time period between 2010 and 2015.

The surface elevation change data are provided as 2-year means (2011-2012, 2012-2013, 2013-2014 and 2014-2015), and a five-year mean is also provided (2011-2015), along with their associated errors. Data are provided in both NetCDF and gridded ASCII format, as well as png plots.

The algorithm used to devive the product is described in the paper “Implications of changing scattering properties on the Greenland ice sheet volume change from Cryosat-2 altimetry” by S.B. Simonsen and L.S. Sørensen, which has been submitted to Remote Sensing of the Environment.

Citable as:  ESA Greenland Ice Sheet CCI project team (2016): ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Greenland Surface Elevation Change from Cryosat-2, v2.0. Centre for Environmental Data Analysis, date of citation.
Abbreviation: Not defined
Keywords: Greenland Ice Sheet, ESA, CCI


Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
Access rules:
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence: When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data lineage:

Data were processed by the ESA CCI Greenland Ice Sheet project team and supplied to CEDA in the context of the ESA CCI Open Data Portal Project.

File Format:
Data are in png, NetCDF and gridded ASCII formats

Process overview

This dataset was generated by a combination of instruments deployed on platforms and computations as detailed below.

Instrument/Platform pairings

The SAR Interferometer Radar Altimeter (SIRAL) Deployed on: CryoSat-2

Computation Element: 1

Title The ESA CCI Greenland Ice Sheets Cryosat2 Surface Elevation Change product
Abstract The algorithms used to derive the product are explained in detail in Simonsen, S. B. and Sørensen, L. S. (2017) ‘Implications of changing scattering properties on Greenland ice sheet volume change from Cryosat-2 altimetry’, Remote Sensing of Environment. Elsevier Inc., 190, pp. 207–216. doi: 10.1016/j.rse.2016.12.012.. The approach used corresponds to Least Squares Method (LSM) as described in the paper, in which the slope within each grid cell is accounted for by subtraction of the GIMP DEM; the data are corrected for both backscatter and leading edge width; and the LSM is solved at 1 km grid resolution (2 km search radius) and averaged in the post-processing to 5 km grid resolution and with a correlation length of 10/20 km.
Input Description None
Output Description None
Software Reference None
Output Description


  • var_id: t
  • long_name: Average time for time slice
  • var_id: x
  • units: meters
  • standard_name: projection_x_coordinate
  • long_name: Cartesian x-coordinate - easting
  • var_id: y
  • units: meters
  • standard_name: projection_y_coordinate
  • long_name: Cartesian y-coordinate - northing
  • var_id: end_time
  • long_name: End of time slice
  • long_name: Error estimates associated with surface elevation changes
  • var_id: SEC_error
  • var_id: landtype
  • long_name: Land type definition.
  • var_id: lat
  • long_name: Latitude
  • units: degrees north
  • var_id: start_time
  • long_name: Start of time slice
  • var_id: SEC
  • long_name: Surface elevation changes, 10.0 km gaussian filter
  • var_id: SEC
  • long_name: Surface elevation changes, 20.0 km gaussian filter
  • var_id: grid_projection
  • long_name: longitude
  • var_id: lon
  • units: degrees east

Co-ordinate Variables

Temporal Range
Start time:
End time:
Geographic Extent