5f0ac285-cca3-4a0e-bcbc-d921734395ab eng utf8 dataset dataset NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom polardatacentre@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information pointOfContact 2022-04-08 ISO 19115 Geographic Information - Metadata ISO 19115:2003(E) European Petroleum Survey Group (EPSG) Geodetic Parameter Registry 2008-11-12 publication European Petroleum Survey Group EPSGadministrator@iogp.org https://www.epsg-registry.org/ EPSG Geodetic Parameter Dataset The EPSG Geodetic Parameter Dataset is a structured dataset of Coordinate Reference Systems and Coordinate Transformations, accessible through this online registry. information publisher urn:ogc:def:crs:EPSG::3031 6.18.3 Fields and parameters related to the flow of ice in the Antarctic Ice Sheet recovered using inverse methods and satellite data 2022-04-08 creation 2022-04-08 revision 2022-04-08 publication 2022-04-08 released 1.0 https://doi.org/10.5285/5f0ac285-cca3-4a0e-bcbc-d921734395ab doi GB/NERC/BAS/PDC/01632 https://data.bas.ac.uk/ NE/L005212/1 award Please cite this item as: Arthern, R., Williams, R., Hindmarsh, R., & Pritchard, H. (2022). Fields and parameters related to the flow of ice in the Antarctic Ice Sheet recovered using inverse methods and satellite data (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/5f0ac285-cca3-4a0e-bcbc-d921734395ab We can learn about the flow of ice in Antarctica by evaluating the key parameters that control the flow speed. These parameters include the basal drag coefficient and the ice viscosity. They can be estimated by adjusting their values so that model velocities at the upper surface agree with satellite observations. This dataset was produced using inverse methods to obtain the parameter values. In this approach a cost function that describes the mismatch between model and satellite data is minimised iteratively by making small adjustments to the parameters at each iteration to improve the fit. The result is better information about the flow field in the Antarctic ice sheet. Once the flow field is available it can be used as an initial state from which begin temporally evolving simulations using the model. A number of different examples are included to show how varying different parameters alters the temporally evolving simulations. The contributing datasets used to constrain the model are listed by Arthern et al (2015) and Arthern and Williams (2017). Multidecadal model simulations span up to 100 years of simulation time. This work was funded by NERC standard grant NE/L005212/1. No credit. completed Arthern, Robert British Antarctic Survey Researcher author Williams, Rosie British Antarctic Survey Researcher author Hindmarsh, Richard British Antarctic Survey Researcher author Pritchard, Hamish British Antarctic Survey Researcher author NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom PDCServiceDesk@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information pointOfContact asNeeded completed EARTH SCIENCE > Cryosphere > Glaciers/Ice Sheets > Glacier Elevation/Ice Sheet Elevation EARTH SCIENCE > Cryosphere > Glaciers/Ice Sheets > Glacier Motion/Ice Sheet Motion EARTH SCIENCE > Cryosphere > Glaciers/Ice Sheets > Glacier Thickness/Ice Sheet Thickness EARTH SCIENCE > Cryosphere > Glaciers/Ice Sheets > Glacier Topography/Ice Sheet Topography EARTH SCIENCE > Cryosphere > Glaciers/Ice Sheets > Ice Sheets EARTH SCIENCE > Hydrosphere > Glaciers/Ice Sheets > Glacier Elevation/Ice Sheet Elevation EARTH SCIENCE > Hydrosphere > Glaciers/Ice Sheets > Glacier Motion/Ice Sheet Motion EARTH SCIENCE > Hydrosphere > Glaciers/Ice Sheets > Glacier Thickness/Ice Sheet Thickness EARTH SCIENCE > Hydrosphere > Glaciers/Ice Sheets > Glacier Topography/Ice Sheet Topography EARTH SCIENCE > Hydrosphere > Glaciers/Ice Sheets > Ice Sheets theme Global Change Master Directory (GCMD) Science Keywords 2026-01-27 publication 23 Global Change Data Center, Science and Exploration Directorate, Goddard Space Flight Center (GSFC) National Aeronautics and Space Administration (NASA) Greenbelt MD United States of America https://earthdata.nasa.gov/about/gcmd/global-change-master-directory-gcmd-keywords Global Change Master Directory (GCMD) Keywords The information provided on this page seeks to define how the GCMD Keywords are structured, used and accessed. It also provides information on how users can participate in the further development of the keywords. information publisher Antarctica basal drag ice flow ice viscosity theme Amundsen Sea sector of West Antarctica Antarctica place Elevation Hydrography theme GEMET - INSPIRE themes, version 1.0 2021-01-06 revision otherRestrictions no limitations to public access otherRestrictions no limitations license Open Government Licence v3.0 otherRestrictions Data supplied under Open Government Licence v3.0 otherRestrictions No restrictions apply. url url largerWorkCitation url url largerWorkCitation url url crossReference doi doi crossReference doi doi crossReference doi doi crossReference textTable eng utf8 elevation environment geoscientificInformation oceans -180.0 180.0 -90.0 -60.0 0.0 5.0 urn:ogc:def:crs:EPSG::5714 MSL height Not specific to any location or epoch. Hydrography. It is recommended that careful attention be paid to the contents of any data, and that the author be contacted with any questions regarding appropriate use. If you find any errors or omissions, please report them to polardatacentre@bas.ac.uk. NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom PDCServiceDesk@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information distributor application/octet-stream application/netcdf text/plain text/csv bytes 14817637171 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=5f0ac285-cca3-4a0e-bcbc-d921734395ab WWW:LINK-1.0-http--link Get Data Download data download bytes 14817637171 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=5f0ac285-cca3-4a0e-bcbc-d921734395ab WWW:LINK-1.0-http--link Get Data Download data download bytes 14817637171 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=5f0ac285-cca3-4a0e-bcbc-d921734395ab WWW:LINK-1.0-http--link Get Data Download data download bytes 14817637171 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=5f0ac285-cca3-4a0e-bcbc-d921734395ab WWW:LINK-1.0-http--link Get Data Download data download dataset Methodology: The processing of the data is described by Arthern et al. (2015) and Arthern and Williams (2017) (see references section). Inverse methods were used to find the basal drag and ice viscosity parameters that allow the model to agree best with satellite observations. Once the ice flow parameters have been obtained, the modelled ice flow within the ice sheet can be evaluated and used to start temporally evolving simulations for a variety of different parameter choices, as described by Arthern and Williams (2017). Data collection: Data processing and modelling was done using MATLAB (Version 8). The contributing datasets used to constrain the model are listed by Arthern et al (2015) and Arthern and Williams (2017). Multidecadal model simulations span up to 100 years of simulation time. Data quality: The algorithm used was evaluated on idealised test cases as described by Arthern and Gudmundsson (2010). Arthern et al (2015) shows maps of discrepancy between model velocity and satellite derived velocity, and histograms of the differences between model elevation changes and elevation changes derived using satellite altimetry. For the temporally evolving simulations two datasets are included; one as originally computed and one with accumulation rates corrected for a processing error. asNeeded completed