5e1424e7-124d-4cc3-ba06-b2285c0b458c 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 2023-07-17 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 3D density and susceptibility distribution of the Wilkes Subglacial Basin and Transantarctic Mountains in East Antarctica. 2023-07-17 creation 2023-07-17 revision 2023-07-17 publication 2023-07-17 released 1.0 https://doi.org/10.5285/5e1424e7-124d-4cc3-ba06-b2285c0b458c doi GB/NERC/BAS/PDC/01765 https://data.bas.ac.uk/ NE/T00939X/1 award Please cite this item as: Lowe, M., Jordan, T., Moorkamp, M., Ebbing, J., Green, C., Losing, M., & Larter, R. (2023). 3D density and susceptibility distribution of the Wilkes Subglacial Basin and Transantarctic Mountains in East Antarctica. (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/5e1424e7-124d-4cc3-ba06-b2285c0b458c We present a 3D crustal model of density and susceptibility distribution in the Wilkes Subglacial Basin and the Transantarctic Mountains (TAM) based on joint inversion of airborne gravity and magnetic data. The applied 'variation of information' technique enforces a coupling between gravity and magnetic sources to give an enhanced inversion result. Our model reveals a large-scale body located in the interior of the Wilkes Subglacial Basin interpreted as a batholithic intrusive structure, as well as a linear dense body at the margin of the Terre Adelie Craton. We provide six netCDF files, which include the input gravity and magnetic data, the inverted gravity and magnetic data, and inverted crustal density and susceptibility distribution. Additionally, a simple jupyter notebook that loads and plots the provided data can be found here: https://doi.org/10.5281/zenodo.8304170 Funding for this research was provided by NERC through a SENSE CDT studentship (NE/T00939X/1) No credit. completed Lowe, Maximilian British Antarctic Survey Researcher author Jordan, Tom British Antarctic Survey Researcher author Moorkamp, Max Ludwig Maximilian University of Munich Researcher author Ebbing, Joerg Christian-Albrechts-Universitat zu Kiel Researcher author Green, Christopher University of Leeds Researcher author Losing, Mareen University of Western Australia Researcher author Larter, Robert 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 > Solid Earth > Geomagnetism > Magnetic Intensity EARTH SCIENCE > Solid Earth > Geodetics/Gravity 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 Density and susceptibility distribution Gravity and magnetics Joint inversion Transantarctic Mountains Wilks Subglacial Basin theme Transantarctic Mountains and Wilkes Subglacial Basin place 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 No restrictions apply. url url crossReference url url crossReference doi doi dependency url url dependency url url dependency doi doi crossReference doi doi crossReference url url crossReference textTable eng utf8 geoscientificInformation 131.0 172.0 -76.8 -66.5 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 12792627 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=5e1424e7-124d-4cc3-ba06-b2285c0b458c WWW:LINK-1.0-http--link Get Data Download data download dataset Methodology: Crustal density and susceptibility distribution are inferred from joint inversion of gravity and magnetic data using the 'variation of information' approach. The inversion is carried out with the academic software JIF3D (https://sourceforge.net/projects/jif3d/) developed by Max Moorkamp. The density and susceptibility inversion models are discretised into meshes with equal horizontal cell sizes of 7.5 km. The vertical cell size is 1 km at the surface and increases with depth by a factor 1.1 for each cell. Increasing vertical cell size with depth is introduced to account for decreasing resolution with increasing distance to the source in potential field applications. A horizontal cell size of 7.5 km is chosen because the input gravity and magnetic data have a resolution of 10 km. Additionally, a padding area of 20% around the study area is added to avoid edge effects. The resulting inversion mesh contains 244 cells east-west direction, 140 cells in north-south direction and 21 cells in the z direction (60 km below sea level). To constrain the model geometry, the bedrock topography Curie point depths and Moho depths are used as model boundaries. All cells are set to a starting value of 0 kg/m3 for the density anomaly model and 0 SI for the magnetic model and are iteratively updated during the VI inversion process. Note that all the elevation information are provided with positive values down. Data collection: The data preparation and the inversion set up is performed in python (version 3.10.11). The inversion itself is carried out in the JIF3D software using a Linux terminal. The gravity and magnetic data were upwardly continued at a constant station height using the Compudrape plug-in for Geosoft Oasis Montaj version 2021.2. Data quality: The RMS error between observed and inverted gravity field is 1.5 mGal and 0.7 nT for the magnetic field. The end members of the residual between observed and inverted values are + 37 and -18 mGal with a standard deviation of 3 mGal for the gravity inversion and for the magnetic inversion +341 and -65 nT with a standard deviation of 13 nT. asNeeded completed