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ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Ice Velocity time series for the Kangerlussuaq glacier from ERS-1, ERS-2, Envisat for 1992-2008, v1.0

Update Frequency: Not Planned
Status: Completed
Online Status: ONLINE
Publication State: Published
Publication Date: 2018-11-29
Download Stats: last 12 months


This dataset contains a time series of ice velocities for the Kangerlussuaq glacier in Greenland, derived from intensity-tracking of ERS-1, ERS-2 and Envisat data aquired between 02/01/1992 and 17/12/2008. The data provides components of the ice velocity and the magnitude of the velocity, and has been produced by the ESA Greenland Ice Sheet Climate Change Initiative (CCI) project.

The data are provided on a polar stereographic grid (EPSG3413: Latitude of true scale 70N, Reference Longitude 45E) with 500m grid spacing. The image pairs used have a repeat cycle between 3 and 35 days. The horizontal velocity is provided in true meters per day, towards the EASTING(x) and NOTHING(y) directions of the grid, and the vertical displacement (z), derived from a digital elevation model, is also provided.

The product was generated by GEUS (Geological Survey of Denmark and Greenland).

Citable as:  ESA Greenland Ice Sheet CCI project team (2018): ESA Greenland Ice Sheet Climate Change Initiative (Greenland_Ice_Sheet_cci): Ice Velocity time series for the Kangerlussuaq glacier from ERS-1, ERS-2, Envisat for 1992-2008, v1.0. Centre for Environmental Data Analysis, date of citation.
Abbreviation: Not defined
Keywords: Greenland, Ice sheet, CCI, ESA


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 produced by GEUS (Geological Survey of Denmark and Greenland) as part of the ESA CCI Greenland Ice Sheet project and were supplied to CEDA in the context of the ESA CCI Open Data Portal Project.

Data Quality:
As provided by the CCI Greenland Ice Sheets team
File Format:
Data is provided as a single NetCDF file.

Process overview

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

Mobile platform operations

Mobile Platform Operation 1 Mobile Platform Operation for: Envisat
Mobile Platform Operation 2 Mobile Platform Operation for: European Remote Sensing satellite 2 (ERS-2)
Mobile Platform Operation 3 Mobile Platform Operation for: ERS-1

Computation Element: 1

Title Ice velocity time series derived from intensity tracking of ERS-1, ERS-2 and ENVISAT data for the Greenland Ice Sheet CCI project.
Abstract Ice Velocity time series have been derived from intensity-tracking of ERS-1, ERS-2 and Envisat data for the ESA Climate Change Initiative (CCI) Greenland Ice Sheet project.
Input Description None
Output Description None
Software Reference None
Output Description None
  • var_id: crs
  • units: m/day
  • var_id: land_ice_surface_easting_velocity
  • units: m/day
  • var_id: land_ice_surface_easting_velocity_std
  • units: m/day
  • var_id: land_ice_surface_northing_velocity
  • units: m/day
  • var_id: land_ice_surface_northing_velocity_std
  • units: m/day
  • var_id: land_ice_surface_velocity_magnitude
  • units: m/day
  • var_id: land_ice_surface_velocity_magnitude_std
  • units: m/day
  • var_id: land_ice_surface_vertical_velocity
  • var_id: time_bnds
  • units: m
  • standard_name: projection_x_coordinate
  • long_name: x coordinate of projection
  • var_id: x
  • names: projection_x_coordinate, x coordinate of projection
  • units: m
  • long_name: y coordinate of projection
  • standard_name: projection_y_coordinate
  • var_id: y
  • names: projection_y_coordinate, y coordinate of projection

Co-ordinate Variables

  • long_name: Midpoint time of acquisitons used
  • standard_name: time
  • var_id: time
  • names: time, Midpoint time of acquisitons used
Temporal Range
Start time:
End time:
Geographic Extent