Keyword

ice sheets

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  • Grounding line locations (GLL) data for the Ferringo, Pine Island, Thwaites, Smith, Kohler and Pope Glaciers in Antarctica, produced by the ESA Antarctic Ice Sheet Climate Change Initiative (CCI) project. The grounding lines have been derived from satellite observations from the ERS-1/2 and Copernicus Sentinel-1 instruments, acquired in the period from 1995-2017.

  • This dataset constists of an ice velocity time series for Pine Island Glacier, Antarctica, derived from Copernicus Sentinel-1 satellite data acquired from 2014 to 2016. It has been produced by the ESA Antarctic Ice Sheet Climate Change Initiative (CCI) project. The data format is 3-layer GeoTiff: the first two layers represent the horizontal displacement component easting and northing respectively in output map coordinates and converted to meters per day [m/d]. The third layer represents the vertical velocity and is derived from the height difference along the displacement vector taken from a Digital Elevation Model (DEM). The method employed to produce this dataset was presented in: Nagler, T., Rott, H., Hetzenecker, M., Wuite, J., Potin, P. (2015). The Sentinel-1 Mission: New Opportunities for Ice Sheet Observations. Remote Sensing, 2015, 7, 9371-9389, doi:10.3390/rs70709371.

  • 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.

  • Grounding line locations (GLL) data for the Ross and Byrd Glaciers in Antarctica, produced by the ESA Antarctic Ice Sheet Climate Change Initiative (CCI) project. The grounding lines have been derived from satellite observations from theTerraSAR-X platform, acquired between 2011 and 2017.

  • This dataset provides Gravimetric Mass Balance Basin data for the Antarctic Ice Sheet. It has been produced in the framework of the Antarctic Ice Sheets Climate Change Initiative (CCI) project, under the lead of TU Dresden. The ice sheet mass balance, i.e. the change in ice mass over time, is determined using the US-German satellite gravimetry mission GRACE (Gravity Recovery and Climate Experiment). The Antarctic Ice Sheet CCI GMB products are based on the monthly GRACE solutions ITSG-Grace2016 by Technische Universität Graz, and comprises a time series of mass change grids covering the entire ice sheet (GMB Gridded product), along side mass change time series for different drainage basins (GMB Basin Product). The dataset described here covers version 1.1 of the Basin product. Mass change time series are provided for a number of drainage basins. They describe the evolution of ice mass relative to a modelled reference value, defined to be the GRACE-derived mass as of 2009-01-01. Respective time series are also derived for the total areas of the West Antarctic Ice Sheet, the East Antarctic Ice Sheet, the Antarctic Peninsula and the Antarctic Ice Sheet as a whole. If publishing results based on this dataset, please cite the following: Groh, A., & Horwath, M. (2016). The method of tailored sensitivity kernels for GRACE mass change estimates. Geophysical Research Abstracts, 18, EGU2016-12065. Interactive data visualisation is available at: https://data1.geo.tu-dresden.de/ais_gmb/

  • 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 2017. The surface elevation change data are provided as 2-year means (2011-2012, 2012-2013, 2013-2014, 2014-2015, 2015-2016, and 2016-2017), and five-year means are also provided (2011-2015, 2012-2016, 2013-2017), 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, Remote Sensing of the Environment, 190,pp.207-216, doi:10.1016/j.rse.2016.12.012

  • This dataset contains a time series of ice velocities for the Storstromemmen glacier in Greenland, derived from Sentinel-1 SAR data acquired between 26/1/2015 and 8/6/2016. It has been produced by the ESA Greenland Ice Sheet Climate Change Initiative (CCI) project. Data files are delivered in NetCDF format at 250m grid spacing in North Polar Stereographic projection (EPSG: 3413). The horizontal velocity components are provided in true meters per day, towards the EASTING(x) and NORTHING(y) directions of the grid.

  • This dataset provides the Gravitational Mass Balance (GMB) product derived from gravimetry data from the GRACE satellite instrument, by TU Dresden. The data consists of two products: a mass change time series for the entire Greenland Ice Sheet and different drainage basins for the period April 2002 to August 2016; and mass trend grids for different 5-year periods between 2003 and 2016. This version (1.2) is derived from GRACE monthly solutions provided by TU Graz (ITSG-Grace 2016) The mass change time series contains the mass change (with respect to a chosen reference month) for all of the Greenland Ice Sheet and each individual drainage basin. For each month (defined by a decimal year) a mass change in Gt and its associated error (also in Gt) is provided. The mass trend grid product is given in units of mm water equivalent per year. Mass balance is an important variable to understand glacial thinning and ablation rates to enable mapping glacier area change. The time series allows the longer term comparison of trends whereas the mass trend grids provide a yearly snapshot which can be further analysed and compared across the data set. Basin definitions and further data descriptions can be found in the Algorithm Theoretical Baseline Document (ST-DTU-ESA-GISCCI-ATBD-001_v3.1.pdf) and Product Specification Document (ST-DTU-ESA-GISCCI-PSD_v2.2.pdf) which are provided on the Greenland Ice Sheet CCI project website. This GMB product has been produced by TU Dresden for comparison with the existing GMB product derived by DTU Space. Please cite the dataset as follows: Groh, A., & Horwath, M. (2016). The method of tailored sensitivity kernels for GRACE mass change estimates. Geophysical Research Abstracts, 18, EGU2016-12065

  • This dataset provides the Gravitational Mass Balance (GMB) product derived from the GRACE satellite instrument, by TU Dresden. The data consists of two products, a mass change time series for the Greenland Ice Sheet and individual basins, and mass trend grids for 5-year periods. The mass change time series contains the mass change (with respect to a chosen reference month) for all of the Greenland Ice Sheet and each individual drainage basin. For each month (defined by a decimal year) a mass change in Gt and its associated error (also in Gt) is provided. The mass trend grid product is given in units of mm water equivalent per year. Mass balance is an important variable to understand glacial thinning and ablation rates to enable mapping glacier area change. The time series allows the longer term comparison of trends whereas the mass trend grids provide a yearly snapshot which can be further analysed and compared across the data set.

  • The data set provides calving front locations of 28 major outlet glaciers of the Greenland Ice Sheet using ERS and ENVISAT and Sentinel-1 SAR data. A selected number of the glaciers have been sampled seasonally, whilst the rest are sampled annually. The Calving Front Location (CFL) of outlet glaciers from ice sheets is a basic parameter for ice dynamic modelling, for computing the mass fluxes at the calving gate, and for mapping glacier area change. From the ice velocity at the calving front and the time sequence of Calving Front Locations the iceberg calving rate can be computed which is of relevance for estimating the export of ice mass to the ocean. The CFL product is a collection of ESRI shapefile in latitude and longitude, WGS84 projection.