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

Point of contact

Organisation name	Individual name	Electronic mail address	Role
British Antarctic Survey	Lowe, Maximilian		Author
British Antarctic Survey	Jordan, Tom		Author
Christian-Albrechts-Universitat zu Kiel	Ebbing, Joerg		Author
Federal Institute for Geosciences and Natural Resources	Koglin, Nikola		Author
Federal Institute for Geosciences and Natural Resources	Ruppel, Antonia		Author
Ludwig Maximilian University of Munich	Moorkamp, Max		Author
University of Leeds	Green, Christopher		Author
Federal Institute for Geosciences and Natural Resources	Laufer, Andreas		Author
University of Iceland, Faculty of Earth Sciences	Liebsch, Jonas		Author
Christian-Albrechts-Universitat zu Kiel	Ginga, Mikhail		Author
British Antarctic Survey	Larter, Robert		Author
NERC EDS UK Polar Data Centre		PDCServiceDesk@bas.ac.uk	Point of contact

Maintenance and update frequency

As needed

Maintenance note

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

Other restrictions

Other constraints

no limitations to public access

Access constraints

Other restrictions

Other constraints

no limitations

Use constraints

License

Other constraints

Open Government Licence v3.0

Use constraints

Other restrictions

Other constraints

None

Unique resource identifier

url

Codespace

url

Association Type

Cross reference

Unique resource identifier

url

Codespace

url

Association Type

dependency

Spatial representation type

Text, table

Language

English

Character set

UTF8

Topic category

• Geoscientific information

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.

Title

European Petroleum Survey Group (EPSG) Geodetic Parameter Registry

Date (Publication)

2008-11-12

Cited responsible party

Organisation name	Individual name	Electronic mail address	Role
European Petroleum Survey Group		EPSGadministrator@iogp.org	Publisher

Unique resource identifier

urn:ogc:def:crs:EPSG::3031

Version

6.18.3

Hierarchy level

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.

Metadata

File identifier

ff3798b8-146f-42c2-870e-64c738970350 XML

Metadata language

English

Character set

UTF8

Hierarchy level

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)

Metadata author

Organisation name	Individual name	Electronic mail address	Role
NERC EDS UK Polar Data Centre		polardatacentre@bas.ac.uk	Point of contact