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Metadata

Name
Models and data in support of "Probing the southern African lithosphere with magnetotellurics" parts I+II
Repository
ZENODO
Identifier
doi:10.5281/zenodo.5870585
Description
These directories contain the original model and data files for the publications &quot;Probing the southern African lithosphere with magnetotellurics, Part I, model construction&quot; and &quot;Probing the southern African lithosphere with magnetotellurics, Part II, linking electrical conductivity, composition and tectonomagmatic evolution&quot;. The two codes used to generate these results are

jif3D (Moorkamp et al. 2011) available via subversion at https://svn.code.sf.net/p/jif3d/jif3dsvn/trunk/jif3D&nbsp; and
ModEM (Kelbert et al. 2014) (https://sites.google.com/site/modularem/download)

All scripts to produce plots are written in Python (Version 3) and require a working Python environment (e.g. Anaconda under Windows https://www.anaconda.com/). Two helper classes are contained in the files mtclass.py (for reading data files) and mtmodel.py (for reading models). These require the packages
netcdf4, mtpy, rasterio, matplotlib, numpy, geopandas, cartopy and possibly a few others. If you get error messages related to missing packages, the typical solution is to call &quot;conda install packagename&quot; (Windows) or &quot;pip3 install packagename&quot;.

We include 3 main Python scripts:

PlotHorizontalSlices.py plots horizontal slices through the inversion models similar to Figures 8-11 in part I. However, you get all slices from the surface to the bottom of the model domain. The output is a single PDF called HorSlices.pdf
PlotMisfit.py produces 5 different PDF files. Each one shows comparisons between observed and predicted data for all sites used in each inversion.
PlotGeoTiff.py produces horizontal slices through the models in GeoTiff format for use in GIS programs or Google Earth. The output files are large (total 1 GB per model), therefore it is currently set to only produce output for one model (jif3D with maximum data). This can be changed by using other filenames (see PlotHorizontalSlices.py).

These scripts are also meant as a basis for other scripts for new analyses of these results. All material here is provided under the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) license (https://creativecommons.org/licenses/by-sa/4.0/).

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References

Moorkamp, M., Heincke, B., Jegen, M., Roberts, A. W., &amp; Hobbs, R. W. (2011). A framework for 3-D joint inversion of MT, gravity and seismic refraction data. Geophysical Journal International, 184(1), 477-493.
Kelbert, A., Meqbel, N., Egbert, G. D., &amp; Tandon, K. (2014). ModEM: A modular system for inversion of electromagnetic geophysical data. Computers &amp; Geosciences, 66, 40-53.
Data or Study Types
multiple
Source Organization
Unknown
Access Conditions
available
Year
2022
Access Hyperlink
https://doi.org/10.5281/zenodo.5870585

Distributions

  • Encoding Format: HTML ; URL: https://doi.org/10.5281/zenodo.5870585
This project was funded in part by grant U24AI117966 from the NIH National Institute of Allergy and Infectious Diseases as part of the Big Data to Knowledge program. We thank all members of the bioCADDIE community for their valuable input on the overall project.