beda45d1-dd33-4666-8861-b4b91af0180f 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 2023-02-20 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 Simulated changes in East Antarctic mass balance and grounded area in response to a shift to circumpolar deep water forced melting from the present-day oceanic regime 2023-02-20 creation 2023-02-20 revision 2023-02-20 publication 2023-02-20 released 1.0 https://doi.org/10.5285/beda45d1-dd33-4666-8861-b4b91af0180f doi GB/NERC/BAS/PDC/01712 https://data.bas.ac.uk/ NE/R000719/1 award Please cite this item as: Jordan, J., Stokes, C., Miles, B., Jamieson, S., Gudmundsson, G., & Jenkins, A. (2023). Simulated changes in East Antarctic mass balance and grounded area in response to a shift to circumpolar deep water forced melting from the present-day oceanic regime (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/beda45d1-dd33-4666-8861-b4b91af0180f The dataset contains processed model output of future simulations of the East Antarctic Ice Sheet using the Ua ice dynamics model (https://github.com/GHilmarG/UaSource). Simulations were run for 200 years comparing the impact of both an intermediate (RCP4.5 emissions scenario) and extreme (RCP8.5 emissions scenario) as well as maintaining the current oceanic regime or switching to one dominated by circumpolar deep water intrusions. A reference run with constant present-day forcing is also included to assess the relative impacts of the various forcing scenarios. This work was primarily funded by the Natural Environment Research Council, grant number NE/R000719/1. James Jordan, Hilmar Gudmundsson and Adrian Jenkins received funding from the European Union's Horizon 2020 research and innovation program under grant agreement no. 869304, PROTECT. Bertie Miles was also supported by a Leverhulme Early Career Fellowship (ECF-2021-484). No credit. completed Jordan, James Northumbria University Researcher author Stokes, Chris Durham University Researcher author Miles, Bertie Durham University Researcher author Jamieson, Stewart Durham University Researcher author Gudmundsson, G. Hilmar Northumbria University Researcher author Jenkins, Adrian Northumbria University 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 Mass Balance/Ice Sheet Mass Balance EARTH SCIENCE > Cryosphere > Glaciers/Ice Sheets > Ice Sheets EARTH SCIENCE > Oceans > Ocean Circulation > Water Masses EARTH SCIENCE > Oceans > Ocean Temperature > Water Temperature 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 East Antarctica circumpolar deep water ice sheet mass balance numerical simulations theme East Antarctica Antarctica place Elevation Oceanographic geographical features 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 crossReference url url largerWorkCitation url url largerWorkCitation doi doi crossReference doi doi crossReference doi doi crossReference doi doi crossReference url url crossReference doi doi dependency url url dependency textTable eng utf8 geoscientificInformation oceans -30.0 165.0 -90.0 -60.0 2020-01-01 2220-01-01 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/x-hdf application/netcdf bytes 892416 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=beda45d1-dd33-4666-8861-b4b91af0180f WWW:LINK-1.0-http--link Get Data Download data download bytes 892416 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=beda45d1-dd33-4666-8861-b4b91af0180f WWW:LINK-1.0-http--link Get Data Download data download dataset Methodology: Data was obtained from numerical simulations using the Ua ice dynamics model (https://github.com/GHilmarG/UaSource, version Ua2019b). Bedrock bathymetry and initial ice thickness was provided by the BedMachine dataset (Morlighem et al 2020), Ice shelf melt rates were determined by using a modified version of the PICO (Potsdam Ice-shelf Cavity mOdel (Reese et al., 2018). Precipitation was determined by scaling the RACMO v 2.3 (Regional Antarctic Climate Model) dataset (Van Wessem et al., 2014). Results provided are time series of total ice volume, ice volume above floatation and grounded ice area for the entire model domain as well as drainage basins corresponding to the IMBIE 2016 definition of East Antarctica (Zwally2012). Data collection: Simulations were performed using the Ua ice dynamics model (https://github.com/GHilmarG/UaSource, version Ua2019b). Post processing of data was performed using MATLAB version R2021a. Data quality: To account for model bias a baseline run with constant forcing was performed. To account for errors in the ocean and atmospheric forcing applied two further runs were performed for each emission scenario, a "positive bias" mass balance (high precipitation, low ocean melting) and "negative bias" mass balance (low precipitation, high ocean melting) to capture the envelope of expected results. asNeeded completed