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3D susceptibility distribution model derived from 2010 BGR magnetic survey of the Mesa Range in northern Victoria Land, East Antarctica

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)

Simple

Date (Creation)
2024-02-28
Date (Revision)
2024-02-28
Date (Publication)
2024-02-28
Date (released)
2024-02-28
Edition
1.0
Unique resource identifier
https://doi.org/10.5285/ff3798b8-146f-42c2-870e-64c738970350
Codespace
doi
Unique resource identifier
GB/NERC/BAS/PDC/01824
Codespace
https://data.bas.ac.uk/
Unique resource identifier
NE/T00939X/1
Codespace
award
Other citation details
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
Credit
No credit.
Status
completed Completed
Author
  British Antarctic Survey - Lowe, Maximilian ( Researcher )
Author
  British Antarctic Survey - Jordan, Tom ( Researcher )
Author
  Christian-Albrechts-Universitat zu Kiel - Ebbing, Joerg ( Researcher )
Author
  Federal Institute for Geosciences and Natural Resources - Koglin, Nikola ( Researcher )
Author
  Federal Institute for Geosciences and Natural Resources - Ruppel, Antonia ( Researcher )
Author
  Ludwig Maximilian University of Munich - Moorkamp, Max ( Researcher )
Author
  University of Leeds - Green, Christopher ( Researcher )
Author
  Federal Institute for Geosciences and Natural Resources - Laufer, Andreas ( Researcher )
Author
  University of Iceland, Faculty of Earth Sciences - Liebsch, Jonas ( Researcher )
Author
  Christian-Albrechts-Universitat zu Kiel - Ginga, Mikhail ( Researcher )
Author
  British Antarctic Survey - Larter, Robert ( Researcher )
Point of contact
  NERC EDS UK Polar Data Centre
British Antarctic Survey, High Cross, Madingley Road , Cambridge , Cambridgeshire , CB3 0ET , United Kingdom
+44 (0)1223 221400
https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/
Maintenance and update frequency
asNeeded As needed
Maintenance note
completed Completed
Global Change Master Directory (GCMD) Science Keywords
  • EARTH SCIENCE > Solid Earth > Geomagnetism
Theme
  • East Antarctica
  • Mesa Range
  • magnetic inversion
  • magnetics
  • susceptibility distribution
Place
  • Mesa Range Antarctica
  • northern Victoria Land Antarctica
GEMET - INSPIRE themes, version 1.0
  • Geology
Access constraints
otherRestrictions Other restrictions
Other constraints
no limitations to public access
Access constraints
otherRestrictions Other restrictions
Other constraints
no limitations
Use constraints
license License
Other constraints
Open Government Licence v3.0
Use constraints
otherRestrictions Other restrictions
Other constraints
None
Unique resource identifier
url
Codespace
url
Association Type
crossReference Cross reference
Unique resource identifier
url
Codespace
url
Association Type
dependency dependency
Spatial representation type
textTable Text, table
Metadata language
engEnglish
Character set
utf8 UTF8
Topic category
  • Geoscientific information
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Begin date
2010-01-01
End date
2010-12-31
Supplemental Information
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.
Date (Publication)
2008-11-12
Publisher
  European Petroleum Survey Group
https://www.epsg-registry.org/
Unique resource identifier
urn:ogc:def:crs:EPSG::3031
Version
6.18.3

Distributor

Distributor
  NERC EDS UK Polar Data Centre
British Antarctic Survey, High Cross, Madingley Road , Cambridge , Cambridgeshire , CB3 0ET , United Kingdom
+44 (0)1223 221400
https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/
Name
application/x-hdf
Name
application/netcdf
Units of distribution
bytes
Transfer size
28311552
OnLine resource
Get Data ( WWW:LINK-1.0-http--link )

Download data

Units of distribution
bytes
Transfer size
28311552
OnLine resource
Get Data ( WWW:LINK-1.0-http--link )

Download data

Hierarchy level
dataset Dataset
Statement

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.

File identifier
ff3798b8-146f-42c2-870e-64c738970350 XML
Metadata language
engEnglish
Character set
utf8 UTF8
Hierarchy level
dataset Dataset
Hierarchy level name
dataset
Date stamp
2024-02-28
Metadata standard name
ISO 19115 Geographic Information - Metadata
Metadata standard version
ISO 19115:2003(E)
Point of contact
  NERC EDS UK Polar Data Centre
British Antarctic Survey, High Cross, Madingley Road , Cambridge , Cambridgeshire , CB3 0ET , United Kingdom
+44 (0)1223 221400
https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/
 
 

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Keywords

East Antarctica Mesa Range magnetic inversion magnetics susceptibility distribution
GEMET - INSPIRE themes, version 1.0
Geology
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > Solid Earth > Geomagnetism

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