8a2b18eb-4720-4a40-a52a-b8f571b26b28 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 2024-09-17 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 Analysis output of the MITgcm ocean model data for the Amundsen Sea (1920 to 2100) 2024-09-17 creation 2024-09-17 revision 2024-09-17 publication 2024-09-17 released 1.0 https://doi.org/10.5285/8a2b18eb-4720-4a40-a52a-b8f571b26b28 doi GB/NERC/BAS/PDC/01886 https://data.bas.ac.uk/ Please cite this item as: Turner, K.A., & Naughten, K.A. (2024). Analysis output of the MITgcm ocean model data for the Amundsen Sea (1920 to 2100) (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/8a2b18eb-4720-4a40-a52a-b8f571b26b28 This dataset contains high-resolution oceanographic model outputs generated using the MIT General Circulation Model (MITgcm) to study the projected ocean warming in the Amundsen Sea, Antarctica, under the RCP8.5 scenario. The primary focus of this dataset is to isolate and analyse the contributions of different atmospheric and oceanic drivers - namely, stronger poleward-shifted winds and changes in atmospheric thermodynamics - to future changes in ocean temperature and freshwater fluxes in this region. The spatial focus is on the Amundsen Sea continental shelf, a key area where Circumpolar Deep Water (CDW) intrudes and drives ice shelf melting. Data were generated using MITgcm, a high-resolution regional ocean model. The model was run under different configurations: with all modern atmospheric and oceanic drivers (ALL), with no anthropogenic changes (NONE), with only thermodynamic changes (THERMO), and with only wind changes (WIND). Additional ensemble runs and experiments with transient boundary conditions were performed to assess the robustness of the findings. Funding: Computing hours were funded by the UKRI-JSPS project 'Quantifying Human Influence on Ocean Melting of the West Antarctic Ice Sheet' budget (NE/S011994/1) Funding comes from the NERC-funded Doctoral Training Partnership INSPIRE DTP. No credit. completed Turner, Katherine A British Antarctic Survey Researcher author Naughten, Kaitlin A 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 > Ocean Circulation > Fresh Water Flux EARTH SCIENCE > Oceans > Ocean Circulation > Wind-driven Circulation 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 Amundsen Sea Circumpolar Deep Water High-resolution modelling MITgcm Ocean-Atmosphere Interactions theme Amundsen Sea 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 No restrictions apply url url dependency url url dependency doi doi crossReference doi doi crossReference doi doi crossReference doi doi crossReference url url crossReference textTable eng utf8 oceans -180.0 -140.0 -75.5 -62.0 1920 1920 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 21474836480 http://ramadda.data.bas.ac.uk/repository/entry/show?entryid=8a2b18eb-4720-4a40-a52a-b8f571b26b28 WWW:LINK-1.0-http--link Get Data Download data download bytes 21474836480 http://ramadda.data.bas.ac.uk/repository/entry/show?entryid=8a2b18eb-4720-4a40-a52a-b8f571b26b28 WWW:LINK-1.0-http--link Get Data Download data download dataset Methodology: The dataset was generated using the MIT General Circulation Model (MITgcm), a numerical model designed to simulate the dynamics of the ocean, atmosphere, and other geophysical fluids. The version of MITgcm used for these simulations includes high-resolution capabilities tailored for regional studies, particularly in polar regions. - Model Configuration: The model was configured to focus on the Amundsen Sea, with a high-resolution grid that captures the detailed topography and bathymetry of the region as developed and discussed in Naughten et al. (2022) and Naughten et al. (2023). The horizontal resolution was fine enough to resolve key oceanographic features, such as the intrusions of Circumpolar Deep Water (CDW) onto the continental shelf. - Forcing and Boundary Conditions: The simulations were forced with atmospheric and oceanic boundary conditions derived from global climate models under the Representative Concentration Pathways RCP8.5 scenario. This includes surface wind stress, air temperature, humidity, and radiation. The dataset includes several experimental setups: o ALL: All anthropogenic changes (both wind and thermodynamic). o NONE: No anthropogenic changes (pre-industrial conditions). o THERMO: Anthropogenic thermodynamic changes only. o WIND: Anthropogenic wind changes only. - Ensemble Simulations: each experiment comprises 9 ensemble runs. These ensembles provide a range of possible outcomes under the same external forcings, to ensure good representation of variability in the region. The model was run from pre-industrial conditions (late 19th century) through to the year 2100, with a particular focus on the period 2070-2100 for future projections. Transient boundary conditions were used for some ensemble experiments to assess the sensitivity of the model outputs to boundary conditions. Data collection: ARCHER2 supercomputer used to run all the simulations Python 3.6.3 Below are the packages used in the virtual environment: Package Version ------------------ ------------ matplotlib 3.3.4 netCDF4 1.2.8 numpy 1.19.5 pandas 1.1.5 Pillow 8.4.0 pytest 7.0.1 scipy 1.5.4 xarray 0.16.2 mitgcm_python (https://github.com/knaughten/mitgcm_python) UaMITgcm (https://github.com/knaughten/UaMITgcm): repository created by Kaitlin Naughten and Jan De Rydt Data quality: For the accuracy and model configuration of MITgcm please see Naughten et al. (2022) and Naughten et al. (2023). The analysis data masks any grid cells not representing the ocean with NaN values. All data was quality controlled and Continuous Integration (CI) testing on the analysis script outputs was implemented where possible. asNeeded completed