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38 results for “Magnetotelluric”
3D magnetotelluric modeling using high-order tetrahedral Nédélec elementson massively parallel computing platforms
<p>Accompanying data to journal article</p> <blockquote> <p>Castillo-Reyes, O., Modesto, D., Queralt, P., Marcuello, A., Ledo, J., Amor-Martin, A., de la Puente, J., García-Castillo, L.E. (2021) 3D magnetotelluric modeling using high-order tetrahedral Nédélec elements on massively parallel computing platforms. Computers & Geosciences, vol.(160): 105030 DOI: 10.1016/j.cageo.2021.105030. ISSN 0098-3004, Elsevier.</p> </blockquote>
Mechanism for the Uplift of Gongga Shan in the Southeastern Tibetan Plateau Constrained by 3D Magnetotelluric Data
<p>The *.data, *.rho, and *.zip files are associated with a paper titled 'Mechanism for the Uplift of Gongga Shan in the Southeastern Tibetan Plateau Constrained by 3D Magnetotelluric Data' in Geophysical Research Letters published in 2022. On the basis of this data and inversion model, we addressed that the rapid uplift of the Gongga Shan massif likely occurred by the underthrusting of the Yangtze Craton. More details about the electrical resistivity model and its interpretations can be found in our journal paper. </p> <p>All the resulting files from ModEM are included in the 'ModEM_Inversion_Results.zip'. All the figures in the paper and supplementary are included in the 'GRL_All_Figures.zip' and 'Figure_S5_All_Responses.zip'.</p> <p>The resulting model and data output in ModEM format can be found in .rho and .data files. The ModEM is an open-source code package for MT 3D inversion, which is provided by Gary Egbert, Anna Kelbert, and Naser Meqbel and can be found on this website: <a href="https://sites.google.com/site/modularem/download">https://sites.google.com/site/modularem/download</a>. </p> <p>Please note that the 3D resistivity model files in general format includes four columns -- longitude, latitude, depth, and resistivity, the one who wants to plot the model via GMT, MATLAB, Surface, etc., can find these files in 'Gongga_3D_Resistivity_Model_Files.zip'. In this zip, you will find the resistivity model of each horizontal slice of different depths and a file including all the slices. A MATLAB script called 'see_slice.m' is included in the folder which can help to quickly view these resistivity slices.</p>
Fluid Transport and Storage in the Cascadia Forearc inferred from Magnetotelluric Data
<p>The 3D electrical resistivity model derived from magnetotelluric data inversion. The model file is in netCDF format, which can be viewed using any standard netCDF plotting tools (e.g. <a href="https://www.giss.nasa.gov/tools/panoply/">Panoply</a>).</p>
New advance in land controlled-source audio-frenquency magnetotellurics exploration: measurement at a shortened transmitter-receiver offset and three-dimensional inversion
<p><span>Ambient noise significantly affects the quality of land controlled-source audio-frequency magnetotellurics (CSAMT) data. Shortening the transmitter–receiver offset can enhance the raw data signal-to-noise ratios (S/N). However, most of CSAMT explorations still collect field data using a large separation. To enhance the S/N of the raw electric and magnetic field and the corresponding Cagniard apparent resistivity, we propose shortening offset to 2–4 km during CSAMT fieldwork and inverting apparent resistivity rather than only electric field. We tested this approach with three experimental models with varying offsets, simulating 3D responses. Result showed that longer offsets predominantly produce data anomalies in the far-field zone, whereas shorter offsets shift these anomalies toward the transition zone with some in the far-field or near-field zones. Shortened-offset responses exhibit stronger electric and magnetic fields. Synthetic datasets with different noise levels were generated for inversion analysis. The results indicate that shortening the offset, particularly in noisy environments, improves data S/N. Inversion results reveal that a shortened CSAMT transmitter–receiver offset allows for data collection with most anomalies in the transition-field zone, facilitating accurate prediction of the true model in the 3D inversion. In low-noise environments, inversion results from data with a shortened offset are comparable to those with a long offset. However, in high-noise environments, the shortened-offset approach yields more accurate results due to improved data S/N. Field data inversion from Yanqing, China, further confirms the effectiveness of our scheme. The shortened-offset approach achieves higher S/N datasets and inversion results that align with actual geological structures.</span></p> <p> </p>
Magnetotelluric data from Santos basin (SE Brazil) and inversion resistivity models exploring basin wedge and deep crustal structure beneath.
<p><strong>Magnetotelluric data</strong></p> <p>Processed data from 90 magnetotelluric broadband stations acquired in are available in Electrical Data Interchange (EDI) and ModEM format.</p> <p>The MMT data were recorded in 2007 by WesternGeco Electromagnetics as part of the National Observatory Rio de Janeiro project funded by Petrobras. The campaign comprised a total of 92 sites from shallow water (about 50 m depth) to deep water (about 1600 m depth). The stations are placed along three NW-SE parallel profiles in the northwest part of Santos basin. The central profile is approximately 160 km long and consists of 56 stations, while the west profile and east profile extend about 55 km each and contain 18 and 16 stations, respectively.</p> <p> </p> <p><strong>Models</strong></p> <p>Inversion models and predicted data are present for two different starting resistivity model testes 10 and 1 Ohm.m. The inversion models were estimated using ModEM - modular system for inversion of electromagnetic geophysical data.</p>
Three-dimensional magnetotelluric imaging of the SE Gonghe Basin: implication for the orogenic uplift in the northeastern margin of the Tibetan plateau
<p>The files contain the EDI data which are used in the inversion of resistivity model, and the the resistivity model inverted by the inversion software (ModEM) for the manuscript entitled " Three-dimensional magnetotelluric imaging of the SE Gonghe Basin: implication for the orogenic uplift in the northeastern margin of the Tibetan plateau". </p> <p>The EDI package file (EDI.rar ) contain 117 sites of broadband MT data. The inverted resistivity model (Inverted Resistivity.rho) is of ModEM format.</p>
The data of the 3-D magnetotelluric inversion result in Western Yunnan, China
<p>This is the 3-D magnetotelluric inversion result in the study of "Bifurcated Crustal Channel Flow and Seismogenic Structures of Intraplate Earthquakes in Western Yunnan, China as Revealed by Three-dimensional Magnetotelluric Imaging". </p> <p> </p>
Diagram of apparent resistivity phase curves of magnetotelluric in Songliao Basin, Northeast China
<p>The research area is located at an expanse of 120,000 square kilometers in northeastern China, including Heilongjiang Province, Jilin Province, and Liaoning Province (about 123°-127° east longitude and about 45°-49° north latitude). The basin is divided into five primary structural units according to the distribution and development characteristics of the fault depressions, namely; the central depression zone , the southeast uplift zone , the northeast uplift zone ,the northern plunge zone , and the west slope zone . Multiple secondary fault depressions and fault uplifts lie inside. This work used a total of 157 broadband magnetotelluric sounding data points. MTU-5 magnetotelluric instruments produced by Phoenix Geophysics of Canada were used for field collection of magnetotelluric sounds and the effective frequency band was 320~0.0005 Hz. The poles were arranged according to the tensor measurement method. Each measuring point measures 5 components, 3 of them being magnetic field components while the other 2 are mutually orthogonal horizontal electric field components. The signal acquisition time was about 20 hours and the average point distance was 10 km. This is a diagram of apparent resistivity phase curves including every broadband magnetotelluric sounding data points.</p>
The different effects in medium-field and far-field of the Pacific plate subduction: revealed by magnetotelluric imaging at the eastern segment of the Central Asian Orogenic Belt
<p>The long-period magnetotelluric sounding profile with the length of 1500 km crossed major geological tectonic units in Northeast China, including the Erguna block, the Xing'an block, the Songnen block, and the Jiamusi block. MT data were recorded at 81 stations, with an average site spacing of 20 km</p>
3D Magnetotelluric Model-Botswana
<p>First model release</p>
Additional data and models for the article "Role of metasomatism in the development of the East African Rift at the Northern Tanzanian Divergence: Insights from 3D magnetotelluric modelling."
<p>Additional data and models for the article "Role of metasomatism in the development of the East African Rift at the Northern Tanzanian Divergence: Insights from 3D magnetotelluric modelling."</p> <p>This data package includes:</p> <p>1-ModEM rho and dat format files of the final preferred model.</p> <p>2-vtk version of this model</p> <p>3-Scripts to plot the MT models</p> <p>4-Water content models calculated with MATE</p> <p>5-Scripts to plot the water content models</p> <p>6-Parameter files used in water calculation with MATE</p> <p>7- EDI files used in the model.</p>
Supplemental data files for: A potential mode of the lithospheric growth and delamination of orogenic belts: Evidence from high-resolution magnetotelluric data
<p>Data files for a 2-D electrical resistivity model in the Greater Xing'an Range, including the observed MT data, the data fitting, the preferred resistivity model, and the raw data in impedance format.</p>
Models and data in support of "Probing the southern African lithosphere with magnetotellurics" parts I+II
<p>These directories contain the original model and data files for the publications "Probing the southern African lithosphere with magnetotellurics, Part I, model construction" and "Probing the southern African lithosphere with magnetotellurics, Part II, linking electrical conductivity, composition and tectonomagmatic evolution". The two codes used to generate these results are</p> <p>jif3D (Moorkamp et al. 2011) available via subversion at https://svn.code.sf.net/p/jif3d/jif3dsvn/trunk/jif3D and<br> ModEM (Kelbert et al. 2014) (https://sites.google.com/site/modularem/download)</p> <p>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<br> 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 "conda install packagename" (Windows) or "pip3 install packagename".</p> <p>We include 3 main Python scripts:</p> <p>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<br> PlotMisfit.py produces 5 different PDF files. Each one shows comparisons between observed and predicted data for all sites used in each inversion.<br> 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).</p> <p>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/).</p> <p> </p> <p> </p> <p>References</p> <p>Moorkamp, M., Heincke, B., Jegen, M., Roberts, A. W., & 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.<br> Kelbert, A., Meqbel, N., Egbert, G. D., & Tandon, K. (2014). ModEM: A modular system for inversion of electromagnetic geophysical data. Computers & Geosciences, 66, 40-53.</p>
Supplemental data files for: Magnetotelluric data reveals subduction polarity and reactivation of the Mudanjiang suture zone, Northeast China
<p>Data files for a 3-D electrical resistivity model in the Mudanjiang suture zone area, including the observed MT data (the data format is for 3-D inversion using ModEM), and the preferred resistivity model.</p>
Magnetotelluric data set of the northern Songliao Block, NE China
<p>The study area covers 120,000 square kilometers in NE China. Field collection of MT data was carried out with MTU-5 instruments, manufactured by Phoenix Geophysics of Canada. This study used a total of 138 broadband MT sites. The signal acquisition time was less than one day at each site. The signal acquisition time was about 20 hours at each site. Each MT site measured 5 components, 3 magnetic field components and 2 mutually orthogonal horizontal electric field components, approximately 10 km site spacing along several lines.</p>
Magnetotelluric data across Uruguay and Southern Brazil
<p>This dataset presents .edi files from 35 magnetotelluric broadband and 11 long period soundings across central Uruguay and southern Brazil. This data collection was financially supported by FAPESP Thematic Projects 2012/06082-6 and 2009/50493-8.</p> <p>Version 2.2: impedances in field units instead of SI (version 1).</p> <p>Version 2.3: site 29 coordinates have been corrected. </p>
Magnetotelluric data across the provinces of Corrientes and Misiones, NE Argentina.
<p>This dataset presents .edi files from 18 magnetotelluric broadband soundings in northeastern Argentina, across the provinces of Corrients and Misiones. This data collection was financially supported by FAPESP Thematic Project 2012/06082-6 and CAPES-MINCYT project 234/13 in Brazil and MINCyT-CAPES BR/12/02 in Argentina.</p>
An efficient 3D inversion scheme for continental scale Magnetotelluric data
<p>These zipped file contain 3D magnetotelluric dataset (synthetic and SAMTEX field data) and corresponding inverted model obtained using AP3DMT(RB) code<br>(Radiation Boundary version of the AP3DMT code) for the publications “3D inversion scheme for high-resolution analysis of continental scale Magnetotelluric<br>data”. </p>
Gravity and magnetotelluric data in the Asal Rift, Republic of Djibouti
<p>Gravity data were obtained from a gravimetric survey carried out by BRGM between 1979 and 1980. Magnetotelluric data was produced in 2007 (Árnason et al, 2008, Khodayar, 2008) in collaboration with Iceland Geosurvey (ISOR), Reykjavik Energy Invest (REI) and the Centre d'Etude et de Recherche de Djibouti (CERD).</p>
Magnetotelluric array covering the Xuefengshan-Jiuling belt, South China
<p>The MT data files in EDI format belonging to the array covering the Xuefengshan-Jiuling belt, South China</p>
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