09330d14-7f2d-4c12-ad00-08a9cd1fb214 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 2020-11-06 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 Global monthly outputs of orography, surface air temperature and water stable isotopes for the last interglacial for idealised Antarctic Ice Sheet simulations run by the isotope-enabled HadCM3 2020-11-06 creation 2020-11-06 revision 2020-11-06 publication 2020-11-06 released 1.0 https://doi.org/10.5285/09330d14-7f2d-4c12-ad00-08a9cd1fb214 doi GB/NERC/BAS/PDC/01429 https://data.bas.ac.uk/ NE/P009271/1 award Please cite this item as: Goursaud, S., Holloway, M., Sime, L., Wolff, E., Valdes, P., Steig, E., & Pauling, A. (2020). Global monthly outputs of orography, surface air temperature and water stable isotopes for the last interglacial for idealised Antarctic Ice Sheet simulations run by the isotope-enabled HadCM3 (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/09330d14-7f2d-4c12-ad00-08a9cd1fb214 Global monthly outputs of orography, surface air temperature and water stable isotopes (d18O) were run by the isotope-enabled atmosphere/ocean coupled model HadCM3 for the last interglacial (128 ka). An ensemble of ten idealised Antarctic Ice Sheet (AIS) simulations were processed, included a pre-industrial and a last interglacial control simulations. The eight other simulations used changed topography of the AIS relative to Dome C to ensure the preservation of the atmospheric pathways. The simulations were run 100 years and the last 50 years were used for the analyses. This work was funding through the European Research Council under the Horizon 2020 research and innovation programme (grant agreement No 742224, WACSWAIN) and NERC grant NE/P009271/1. No credit. completed Goursaud, Sentia University of Cambridge Researcher author Holloway, Max British Antarctic Survey Researcher author Sime, Louise British Antarctic Survey Researcher author Wolff, Eric University of Cambridge Researcher author Valdes, Paul University of Bristol Researcher author Steig, Eric University of Washington Researcher author Pauling, Andrew University of Washington 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 > Atmosphere > Atmospheric Temperature > Surface Air Temperature EARTH SCIENCE > Cryosphere > Glaciers/Ice Sheets > Glacier Elevation/Ice Sheet Elevation EARTH SCIENCE > Cryosphere > Glaciers/Ice Sheets > Glacier Topography/Ice Sheet Topography EARTH SCIENCE > Paleoclimate > Ice Core Records > Isotopes EARTH SCIENCE > Paleoclimate > Paleoclimate Reconstructions 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 climate modelling effect of the elevation last interglacial water stable isotopes theme Global place Atmospheric conditions Elevation Geology 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 This data is supplied under Open Government Licence v3.0 otherRestrictions No restrictions apply. doi doi crossReference doi doi crossReference doi doi crossReference doi doi crossReference doi doi crossReference doi doi crossReference url url largerWorkCitation url url largerWorkCitation url url dependency url url crossReference textTable eng utf8 climatologyMeteorologyAtmosphere imageryBaseMapsEarthCover -180.0 180.0 -90.0 90.0 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 113980211 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=09330d14-7f2d-4c12-ad00-08a9cd1fb214 WWW:LINK-1.0-http--link Get Data Download data download bytes 113980211 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=09330d14-7f2d-4c12-ad00-08a9cd1fb214 WWW:LINK-1.0-http--link Get Data Download data download dataset Methodology: The isotopic response to idealised changes in AIS elevation are simulated using the isotope-enabled coupled ocean--atmosphere--sea-ice General Circulation Model, HadCM3 (Tindall et al., 2009). Two control simulations were used: a pre-industrial (PI) simulation, and a 128 ka simulation centred on the last interglacial (LIG) Antarctic isotope maximum including a modern day AIS configuration (Holloway et al., 2016). Then a suite of eight idealised AIS elevation change simulations were performed using orbital and greenhouse-gas forcing at 128 ka. Each experiment scaled the AIS and relates the change to elevation at the EPICA Dome C (EDC) ice core site following: beta = ZEDC / (ZEDC + DeltaZ) where ZEDC is the EDC ice core site elevation in the modern day AIS configuration, DeltaZ is the prescribed elevation change which extends to +/- 1000 m, and beta is the scaling coefficient. Elevations across the Antarctic continent are then increased or decreased proportional to beta; ZA' = ZA / beta where ZA is the two-dimensional array of modern AIS elevations and ZA' is a new array of altered AIS elevations. This approach maintains the modern shape of the AIS, thus reducing the influence of changing ice sheet configuration on circulation and climate and isolating the effect of elevation changes alone. We perform experiments with DeltaZ equal to (+/-) 100, 200, 500 and 1000 m. Each of the above elevation change scenarios is integrated for a total of 500-years to ensure that surface and mid-depth climate fields are sufficiently spun-up with the imposed elevation changes. The last 50 years of each simulation are analysed. LIG Antarctic isotope maximum of between +2-4 per mille above PI in d18O are recorded in East Antarctic ice cores. We evaluate our elevation scenarios against LIG d18O maxima from five published ice core records from East Antarctica (Masson Delmotte et al., 2011): Vostok, Dome Fuji, EPICA Dome C, EPICA Dronning Maud Land and Talos Dome Ice Core. The records are processed following the approach outlined in Holloway et al. (2017): The ice core isotope records are synchronised to the EDC3 age scale (Parrenin et al., 2007) and interpolated onto a common 100 year time grid. Any residual temporal misalignment between the ice cores is minimised by applying a 1500 yr low-pass filter to each record before taking the LIG peak (Sime et al., 2009). Fractional isotopic content is expressed for oxygen-18 as: d18O = 1000 x (H218O / H216O) / RVSMOW-1 in per mille, where RVSMOW is the ratio of H218O to H216O for Vienna standard mean ocean water. Data collection: Model code developed to analyse the outputs can be found on Github: https://github.com/aitens/Antarctic-Ice-Sheet-elevation-impacts-on-water-isotope-records-during-the-Last-Interglacial. To analyse the outputs using the model code, one needs python 2.7 (or 3), with modules likes matplotlib, numpy, iris. The model was run using 128k orbital parameters for 100 years. Data consist of surface outputs (1 level) with global coverage (longitude from 0 to 360 degrees and latitude from -90 to 90 degrees). When analysing the outputs, a focus was made on location of ice cores covering the last interglacial: Vostok (E106.8, S78.5), Dome F (E39.7, S77.3), EDC (E123.4, S75.1), EDML (E0.07, S75.0), Taylor Dome (E158.7, S77.8), TALDICE (E159.2, S72.8), WAIS Divide (E247.9, S79.5), Hercules Dome (E255, S86), Skytrain (E280.3, S78). Data quality: No quality control procedures out of the described methodology were processed. asNeeded completed