ff3798b8-146f-42c2-870e-64c738970350 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 2024-02-28 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 susceptibility distribution model derived from 2010 BGR magnetic survey of the Mesa Range in northern Victoria Land, East Antarctica 2024-02-28 creation 2024-02-28 revision 2024-02-28 publication 2024-02-28 released 1.0 https://doi.org/10.5285/ff3798b8-146f-42c2-870e-64c738970350 doi GB/NERC/BAS/PDC/01824 https://data.bas.ac.uk/ NE/T00939X/1 award Please cite this item as: Lowe, M., Jordan, T., Ebbing, J., Koglin, N., Ruppel, A., Moorkamp, M., Green, C., Laufer, A., Liebsch, J., Ginga, M., & Larter, R. (2024). 3D susceptibility distribution model derived from 2010 BGR magnetic survey of the Mesa Range in northern Victoria Land, East Antarctica (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/ff3798b8-146f-42c2-870e-64c738970350 We present a 3D crustal model of susceptibility distribution in the Messa Range in northern Victoria Land, East Antarctica. The inversion is based on airborne magnetic data with a line spacing of 500m conducted by the Federal Institute for Geosciences and Natural Resources (BGR) in 2010. The inverted susceptibility allows to discriminate the three dominant rock types in the area namely Kirkpatrick Basalt, Ferrar rock and Granit Harbour intrusive. We provide three netCDF files, which include the input magnetic data, the inverted magnetic field, and inverted crustal susceptibility distribution. 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 Ebbing, Joerg Christian-Albrechts-Universitat zu Kiel Researcher author Koglin, Nikola Federal Institute for Geosciences and Natural Resources Researcher author Ruppel, Antonia Federal Institute for Geosciences and Natural Resources Researcher author Moorkamp, Max Ludwig Maximilian University of Munich Researcher author Green, Christopher University of Leeds Researcher author Laufer, Andreas Federal Institute for Geosciences and Natural Resources Researcher author Liebsch, Jonas University of Iceland, Faculty of Earth Sciences Researcher author Ginga, Mikhail Christian-Albrechts-Universitat zu Kiel 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 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 Mesa Range magnetic inversion magnetics susceptibility distribution theme Mesa Range Antarctica northern Victoria Land Antarctica 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 None url url crossReference url url dependency textTable eng utf8 geoscientificInformation 161.35 163.5 -73.43 -72.59 2010-01-01 2010-12-31 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 28311552 http://ramadda.data.bas.ac.uk/repository/entry/show?entryid=ff3798b8-146f-42c2-870e-64c738970350 WWW:LINK-1.0-http--link Get Data Download data download bytes 28311552 http://ramadda.data.bas.ac.uk/repository/entry/show?entryid=ff3798b8-146f-42c2-870e-64c738970350 WWW:LINK-1.0-http--link Get Data Download data download dataset Methodology: Crustal susceptibility distribution is inferred from magnetic inversion of airborne magnetic data. The inversion is carried out with the academic software JIF3D (https://sourceforge.net/projects/jif3d/) developed by Max Moorkamp. The susceptibility inversion model is discretised into meshes with equal horizontal cell sizes of 250m. The vertical cell size is 100m at the surface. The vertical cell size 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. Additionally, a padding area of 20% around the study area is added to avoid edge effects. The resulting inversion mesh contains 324 cells east-west direction, 276 cells in north-south direction and 38 cells in the z direction (32.7 km below sea level). To constrain the model geometry, the bedrock topography and Curie Point depths are used as model boundaries. All cells are set to a starting value of 0 SI and are iteratively updated during the magnetic inversion process. Data format is NetCDF4. Each physical parameter has his own NetCDF file. * Input_mag.nc contains the input magnetic field. The variables in NetCDF file are projection_x_coordinate (polar stereographic), projection_y_coordinate (polar stereographic), projection_z_coordinate (station height in meter), crs (map projection information), magnetic_field (magnetic field in nT), dT (Error in nT) * Inv_mag.nc contains the inverted magnetic field. The variables in NetCDF file are projection_x_coordinate (polar stereographic), projection_y_coordinate (polar stereographic), projection_z_coordinate (station height in meter), crs (map projection information), inverted_magnetic_field (magnetic field in nT), dT (Error in nT) * inv_susceptibility.nc contains the inverted crustal susceptibility distribution. The variables in NetCDF file are projection_x_coordinate (polar stereographic), x_cell_bnds (cell boundaries in x direction in polar stereographic coordinates), x_origin (model origin in x direction polar stereographic), projection_y_coordinate (polar stereographic), y_cell_bnds (cell boundaries in y direction in polar stereographic coordinates), y_origin (model origin in y direction polar stereographic), projection_z_coordinate (Model depth in meter), z_cell_bnds (cell boundaries in z direction in m), z_origin (model origin in depth in meter), crs (map projection information), susceptibility (Crustal susceptibility distribution in SI). 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 (JIF3D is a software developed by Max Moorkamp available under a GNU General Public License (v3) via subversion at https://svn.code.sf.net/p/jif3d/jif3dsvn/trunk/jif3D) Data quality: The RMS error between observed and inverted magnetic field is 0.97 nT. The end members of the residual between observed and inverted values are + 551 nT, and -130nT with a standard deviation of 12 nT. asNeeded completed