BGS Hosted Metadata
3D density and susceptibility distribution model derived from 2024 gravity and magnetic surveys of Marguerite Bay, West Antarctica
We present a 3D crustal model of density and susceptibility distribution in Marguerite Bay, west Antarctica. The inversion is based on airborne gravity and magnetic data collected with a Windracers Ultra UAV (2023/2024 Antarctic season) with a line spacing of 2 km and a ground clearness of 500m.
The inverted densities and susceptibilities allow us to contain and identify large scale 3D intrusion in Marguerite Bay.
We provide a CSV file, which contains the coordinates, the depth and the inverted density and susceptibility distribution.
This work was funded through "Protecting environments with unmanned aerial vehicle swarms" project number 10023377 as part of "Innovate UK Future flight challenge phase 3"
Simple
- Date (Creation)
- 2024-11-11
- Date (Revision)
- 2024-11-11
- Date (Publication)
- 2024-11-11
- Date (released)
- 2024-11-11
- Edition
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1.0
- Unique resource identifier
- https://doi.org/10.5285/4c8cfe1b-f426-4cc7-819b-236d1058ea0d
- Codespace
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doi
- Unique resource identifier
- GB/NERC/BAS/PDC/01943
- Codespace
- Other citation details
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Please cite this item as: Lowe, M., & Jordan, T. (2024). 3D density and susceptibility distribution model derived from 2024 gravity and magnetic surveys of Marguerite Bay, West Antarctica (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/4c8cfe1b-f426-4cc7-819b-236d1058ea0d
- Credit
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No credit.
- Status
- Completed
- Point of contact
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Organisation name Individual name Electronic mail address Role British Antarctic Survey Lowe, Maximilian Author British Antarctic Survey Jordan, Tom Author NERC EDS UK Polar Data Centre Point of contact
- Maintenance and update frequency
- As needed
- Maintenance note
- Completed
- Theme
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gravity
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joint inversion
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magnetics
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rock density
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susceptibility distribution
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- Place
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Marguerite Bay Antarctica
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GEMET - INSPIRE themes, version 1.0
- 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
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None
- Unique resource identifier
- url
- Codespace
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url
- Association Type
- Cross reference
- Unique resource identifier
- doi
- Codespace
-
doi
- Association Type
- Cross reference
- Unique resource identifier
- doi
- Codespace
-
doi
- Association Type
- Cross reference
- Unique resource identifier
- doi
- Codespace
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doi
- Association Type
- dependency
- Unique resource identifier
- url
- Codespace
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url
- Association Type
- dependency
- Spatial representation type
- Text, table
- Language
- English
- Character set
- UTF8
- Topic category
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- Geoscientific information
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- Begin date
- 2024-02-09
- End date
- 2024-03-03
- Supplemental Information
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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
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European Petroleum Survey Group (EPSG) Geodetic Parameter Registry
- Date (Publication)
- 2008-11-12
- Cited responsible party
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Organisation name Individual name Electronic mail address Role European Petroleum Survey Group
Publisher
- Unique resource identifier
- urn:ogc:def:crs:EPSG::3031
- Version
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6.18.3
Distributor
- Distributor contact
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Organisation name Individual name Electronic mail address Role NERC EDS UK Polar Data Centre Distributor
- Distributor format
-
Name Version text/csv
- Units of distribution
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bytes
- Transfer size
- 68157440
- OnLine resource
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Protocol Linkage Name WWW:LINK-1.0-http--link
http://ramadda.data.bas.ac.uk/repository/entry/show?entryid=4c8cfe1b-f426-4cc7-819b-236d1058ea0d Get Data
- Hierarchy level
- Dataset
- Statement
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Methodology:
Crustal density and susceptibility distribution is inferred from "Variation of Information" joint inversion of airborne gravity and magnetic data. The inversion is carried out with the academic software JIF3D ( https://sourceforge.net/projects/jif3d/) developed by Max Moorkamp.
The density and susceptibility inversion model are 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 130 cells east-west direction, 314 cells in north-south direction and 33 cells in the z direction (20 km below sea level). To constrain the model geometry, the bedrock topography and Moho depths are used as model boundaries.
All cells are set to a starting value of 0 kg m-3 and 0 SI for density and susceptibility, respectively. The density and susceptibility values are iteratively updated during the joint inversion process.
Python code for preparing input data, setting up the inversion and plotting the results is openly accessible through zenodo.org ( https://doi.org/10.5281/zenodo.14016296).
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.
Data quality:
The mean residual between observed and inverted gravity and magnetic field is 0.1 mGal and -0.2 nT, with a standard deviation of 2.5 mGal and 3.5 nT.
The data have a horizontal resolution of 250 m and a vertical resolution of 100 m, which increases with a factor of 1.1 with depth.
Metadata
- File identifier
- 4c8cfe1b-f426-4cc7-819b-236d1058ea0d XML
- Metadata language
- English
- Character set
- UTF8
- Hierarchy level
- Dataset
- Hierarchy level name
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dataset
- Date stamp
- 2024-11-11
- Metadata standard name
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ISO 19115 Geographic Information - Metadata
- Metadata standard version
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ISO 19115:2003(E)
- Metadata author
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Organisation name Individual name Electronic mail address Role NERC EDS UK Polar Data Centre Point of contact
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