a54c795c-e0ee-49cb-99dd-befbdc4a70f0 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 2022-02-01 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 Output from a numerical model of the ocean beneath Larsen C Ice Shelf, Antarctica 2022-02-01 creation 2022-02-01 revision 2022-02-01 publication 2022-02-01 released 1.0 https://doi.org/10.5285/a54c795c-e0ee-49cb-99dd-befbdc4a70f0 doi GB/NERC/BAS/PDC/01605 https://data.bas.ac.uk/ NE/L002582/1 award NE/P021395/1 award Please cite this item as: Harrison, L. (2022). Output from a numerical model of the ocean beneath Larsen C Ice Shelf, Antarctica (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/a54c795c-e0ee-49cb-99dd-befbdc4a70f0 This dataset contains output from a hydrodynamic model of the ocean in the Larsen C Ice Shelf (LCIS) cavity and a nearby area of the western Wedell Sea. Simulations were run using the MITgcm numerical ocean model and included an ice shelf with steady thickness. A new LCIS bathymetry was used in the simulations, referred to as the 'Brisbourne' bathymetry. The data provided here includes these geometry grids and ocean velocity and basal melt rate fields output from the final year of an arbitrary 10-year simulation, or a 6-month extension run. Calculated marine ice fields beneath the ice shelf based on the simulation's melt rate results are also included. In addition, output from several simulations using different initial and boundary ocean temperature conditions and runs with different cavity geometries are also provided. This work was supported by the Natural Environment Research Council and the EnvEast Doctoral Training Partnership [grant number NE/L002582/1] and PICCOLO [grant number NE/P021395/1]. No credit. completed Harrison, Lianne 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 > Oceans > Sea Ice > Ice Growth/Melt EARTH SCIENCE > Oceans > Marine Environment Monitoring 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 Ice shelf-ocean interactions Larsen C Ice Shelf Marine ice Model validation Ocean warming experiments theme Larsen C Ice Shelf Antarctica place 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 released under Open Government Licence V3.0: otherRestrictions None. url url dependency url url crossReference url url dependency url url dependency textTable eng utf8 environment oceans -65.98 -56.83 -69.89 -65.34 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 bytes 794610893 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=a54c795c-e0ee-49cb-99dd-befbdc4a70f0 WWW:LINK-1.0-http--link Get Data Download data download dataset Methodology: Simulations were run using the MITgcm numerical ocean model, version c65z. The model featured an ice shelf with steady thickness and a new bathymetry created using natural neighbour interpolation of 114 seismic soundings in the LCIS cavity. The bathymetry was deepened to create a minimum water-column thickness of 40 m, the thickness of two full grid cells, to allow unhindered flow wherever the ice is known to be floating. The domain included the LCIS cavity and a small area of the western Weddell Sea, with a uniform grid resolution of 20 m in the vertical, 1/20° in longitude, and variable in latitude, scaled by the cosine of the latitude, resulting in isotropic grid cells of ~2 km width. Constant diffusivities of 10 m2/s in the horizontal and 10-4 m2/s in the vertical were used, and lateral and vertical eddy viscosity coefficients of 50 m2/s and 10-3 m2/s, respectively. A three-equation model was used to parameterise melting and freezing, with a drag coefficient of 0.0022 and heat and salt transfer coefficients of 0.011 and 3.1 x 10-4, respectively. Tides were implemented by imposing velocities on open boundaries to the north, east and south from the CATS2008 inverse tidal model. Constant ocean properties were imposed on the model boundaries with a potential temperature of -1.9°C and practical salinity of 34.5, the same values as the initial conditions. Further simulations with initial and boundary condition temperatures of -1.8°C, -1.6°C, and -1.4°C were also run, as well as alternative bathymetry simulations. The marine ice fields were calculated by assuming that modelled melt/freeze rates, and ice shelf velocities are fixed in time. These fields were interpolated onto a 100 m grid and then marine ice thickness was time-stepped on this grid for 500 years using a simple upwind advection scheme. asNeeded completed