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12 results for “local earthquakes tomography”
Local Earthquake Tomography of the Alpine Region from 24 Years of Data - DELIVERABLES
<h1><strong>Local Earthquake Tomography of the Alpine Region from 24 Years of Data</strong></h1> <p>M. Bagagli(1), I. Molinari(2), T. Diehl(3), E. Kissling(4)</p> <p><em>(1) Dipartimento Scienze della Terra, Università di Pisa, 56126 Pisa, Italy</em><br><em>(2) Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Bologna, 40127 Bologna, Italy</em><br><em>(3) Swiss Seismological Service, ETH Zurich, 8006 Zürich, Switzerland</em><br><em>(4) Institute of Geophysics, Department of Earth Sciences, ETH Zürich, 8006 Zürich, Switzerland</em></p> <p>mail-to: matteo.bagagli@dst.unipi.it<br>date: 08.11.2024<br>version: 1.0</p> <p>-----------------------------------------------------------------------------------------------------</p> <p>This repository contains the all the deliverables of the aforementioned manuscript.<br>The folder is organized into subfolders for the relative tasks.</p> <p>- Min1D_StatDelays<br>- 3Dtomo<br>- EMSC_Catalog_May2007_Dec2015<br>- tomo2plt_scripts<br>- inventories</p> <p>For additional details, we refer the reader to the main manuscript and its supplementary materials.</p>
LOTOS files for Local earthquake tomography of the Aegean crust: Implications for active deformation, large earthquakes, and arc volcanism
<p>This archive contains LOTOS codes and model files/folders associated with the publication "Local earthquake tomography of the Aegean crust: Implications for active deformation, large earthquakes, and arc volcanism" (inside Aeg_tomo.zip)</p> <p> </p> <p>New in version 2:</p> <p>3D model files as well as lateral sections for Vp, Vs, and Vp/Vs (inside nc_3d_model.zip)</p>
Local Earthquake Tomography Code and Data for study the Lithosphere Structure in the Collision Zone of the NW Himalayas
<p>The tomography model presented in the paper "Lithosphere Structure in the Collision Zone of the NW Himalayas Revealed by Local Earthquake Tomography" are obtained using the LOTOS code by Koulakov (2009). Here, we present the full version of the code with initial data and parameters used for calculating P and S velocity models beneath the NW Himalaya. This version of the code is adopted for the Windows OS and contains the entire program listing and the full project structure for Microsoft Visual Studio 2010 and Intel Visual Fortran. Detailed description of the code can be found at <a href="http://www.ivan-art.com/science/LOTOS">www.ivan-art.com/science/LOTOS</a></p>
Input and Output Data for local earthquake tomography in the central Dead Sea Fault using PyVoroTomo
<p>Data to reproduce wave velocity models for the central DSF.</p> <p>eventsAndArrivals.h5 - 2 csv files (keys: events, arrivals)</p> <p>stations_sub.h5 - csv file containing station data</p> <p>gitter.csv - 1D velocity model by Gitterman et al. (2002)</p> <p>3d_Vp_Vs_VpVs_models.nc - velocity models for vp, vs, and vp/vs and their uncertainty.</p> <p>relocated seismicity.h5 - relocated seismicity, arrivals used, and stations used (keys: events, arrivals, stations)</p>
Seismicity patterns and multi-scale imaging of Krafla (N-E) Iceland with local earthquake tomography: Raw event waveforms for all events used in the inversion and manual picks for temporary network
<p>This Data and Software were used in the submitted paper "Seismicity patterns and multi-scale imaging at Krafla (N-E Iceland) wih local earthquake tomography" by Glück et al.<br>The data and software provided here are used to compute the velocity models with TomoTV.<br>The raw data (.mseed format) can be visualised with the Python package Pyrocko/Snuffler, which was also used for the arrival time picking.<br>For the temporary network the manual picks are provided along with the code to prepare the manual picks as the input files for a localisation with NonLinLoc by weighting and quality checking the data. This resulting localsitations and the weighted traveltimes are then used for the LET.<br>The same workflow was used for the picks from the permanent network.</p> <p>Data:<br>- Raw data (\WaveformsPermanentStations): 7s waveform snippets of the events listed in the ISOR catalogue on http://lv.isor.is:8080/events/browse/ for the years 2021 and 2022.<br>- Raw data (\WaveformsNodes): 5s waveform snippets of the events listed in the ISOR catalogue on http://lv.isor.is:8080/events/browse/2022 recorded with the temporary network of 98 temporary nodes in June and July 2022.<br>- Pickfile (ManualPicks_100Nodes_Kafla2022.txt): Manual picks of the events listed in the ISOR catalogue for the evenst recorded with the temporary network.<br>- Station file (Station_file.txt): The station file includes the coordinates (Lat, Lon, Elevation) of the permanent stations (StationID starting with K...) and of the temporary nodes (StationID starting with N...).</p> <p>Software (Hyp_format.py):<br>- Weighting: The picks are weighted according to their Signal-to-Noise ratio (described in more detail in Section 2.3 in the main text of the paper)<br>- Writing the inputfile for NonLinLoc (with the selecting the mode option "PorS" in line 118), including all picks, also for those stations where not both phases were picked. The file "endfile.txt" is needed to write the picks to the NonLinLoc input format.<br>- Quality check of the picks: Computing a modified Wadati diagram from the traveltime differences of P and S phases for all the events available (with the selecting the mode option "PandS" in line 118)<br>- Python packages needed: numpy, scipy, matplotlib, pandas, obspy</p>
Data and program codes to reproduce the results of local earthquake seismic tomography for Tenerife Island
<p>This file contains the files to reproduce the results presented in the article: <strong>Local earthquake seismic tomography reveals the link between the crustal structure and volcanism in Tenerife (Canary Islands) </strong>by Ivan Koulakov, Luca D'Auria, Janire Prudencio, Iván Cabrera-Pérez, Nemesio M. Pérez, Jesús M. Ibáñez, <em>Journal of Geophysical Research, Solid Earth</em>.</p> <p>This file includes:</p> <p>1. The full folder with the LOTOS code for the passive-source seismic tomography (Koulakov, 2009, BSSA). </p> <p>2. Folder with the dataset including arrival times of the P and S waves from local seismicity in the area of the Tenerife Island, Canary Archipelago.</p> <p>3. README_TENERIFE.PDF file with the description of the workflow on how to reproduce the tomography models based on experimental and synthetic data presented in the article. </p> <p>Koulakov, I., 2009, LOTOS code for local earthquake tomographic inversion: Benchmarks for testing tomographic algorithms: Bulletin of the Seismological Society of America, v. 99, p. 194–214, https://doi.org/10.1785/0120080013.</p>
3D Crustal Velocity Model of the Irpinia Region (Italy) obtained through Local Earthquake Tomography
<p>Supplementary materials for: "The 3D crustal structure in the epicentral region of the 1980, Mw 6.9, Southern Apennines earthquake (southern Italy): new constraints from the integration of seismic exploration data, deep wells and local earthquake tomography" by Feriozzi F., Improta L., Maesano F.E., De Gori, P., Basili R., Tectonics 2024</p>
Data and program codes to reproduce the results of local earthquake seismic tomography for Central Kamchatka
<p>This file contains the files to reproduce the results presented in the article: <strong>Connections between arc volcanoes in Central Kamchatka and the subducting slab inferred from local earthquake seismic tomography </strong>by Bushenkova N., Koulakov I., Bergal-Kuvikas O., Shapiro N., Gordeev E.I., Chebrov D.V. , Abkadyrov I., Jakovlev A., Stupina T., Novgorodova A., Droznina S., Huang H.-H., <em>Journal of Volcanology and Geothermal Research</em>.</p> <p>This file includes:</p> <p>1. The full folder with the LOTOS code for the passive-source seismic tomography (Koulakov, 2009, BSSA). </p> <p>2. Folder with the dataset including arrival times of the P and S waves from local seismicity in the area of Central Kamchatka.</p> <p>3. README_CEN_KAM.DOC file with the description of the workflow on how to reproduce the tomography models based on experimental and synthetic data presented in the article. </p> <p>Koulakov, I., 2009, LOTOS code for local earthquake tomographic inversion: Benchmarks for testing tomographic algorithms: Bulletin of the Seismological Society of America, v. 99, p. 194–214, https://doi.org/10.1785/0120080013.</p>
LOTOS code inputs for local earthquake tomography of the Irazú-Turrialba volcanic complex, Costa Rica
<p>Local earthquake seismic tomography model for Jiwani-Brown, E., Koulakov, I., Muñoz-Burbano, F., Pacheco, J., Mora, M., & Lupi, M. (2023). Comparing local and ambient seismic tomographic methods to infer the plumbing system of the Irazú-Turrialba volcanic complex, Costa Rica. </p> <p>The tomography model presented in the paper are obtained using the LOTOS code by Koulakov (2009). Input files for running of LOTOS code adapted for Windows OS. More details on the LOTOS code can be found at<a href="http://www.ivan-art.com/science/LOTOS">www.ivan-art.com/science/LOTOS</a></p>
Supplementary for Slab tearing and lithospheric structures in Luzon island, Philippines: Constraints from P-and S-wave local earthquake tomography
<p>The 3D seismic velocity model of the Northern Philippines was obtained from travel time inversion using LOTOS (Koulakov., 2009). </p> <p>The header of the file is:</p> <p>lon: longitude</p> <p>lat: latitude</p> <p>dep: depth in km</p> <p>vp_abs: absolute P-wave velocity (km/s)</p> <p>vs_abs: absolute S-wave velocity (km/s)</p> <p>dvp: P-wave velocity anomalies (%)</p> <p>dvs: S-wave velocity anomalies (%)</p> <p> </p>
Evidence for fluids at the hypocenter of the 2017 Ms 7.0 Jiuzhaigou earthquake revealed by local earthquake tomography
<p>This dataset presented here is used in the manuscript entitled "Evidence for fluids at the hypocenter of the 2017 Ms 7.0 Jiuzhaigou earthquake revealed by local earthquake tomography".</p>
LOTOS coce of local earthquake tomography with the Akutan dataset
<p>This depositary contains the data and the program codes that can be used to reproduce all the results presented in the article:</p> <p>I. Koulakov, V. Komzeleva, S.Z. Smirnov and S.B. Bortnikova (2020), Magma-fluid interactions beneath the Akutan Volcano in Aleutian Arc based on the results of local earthquake tomography, <em>Journal of Geophysical Research, Solid Earth</em> (submitted)</p> <p>The tomography models presented in the paper are obtained using the LOTOS code by Koulakov (2009). Here, we present the full version of the code with initial data and parameters used for calculating P and S velocity models beneath the Akutan volcanic Island in the Aleutian arc (USA). This version of the code is adopted for the Windows OS and contains the entire program listing and the full project structure for Microsoft Visual Studio 2010 and Intel Visual Fortran. Detailed description of the code can be found at <a href="http://www.ivan-art.com/science/LOTOS">www.ivan-art.com/science/LOTOS</a></p> <p>Koulakov, I. (2009). LOTOS code for local earthquake tomographic inversion: Benchmarks for testing tomographic algorithms. <em>Bulletin of the Seismological Society of America</em>, 99(1), 194–214. https://doi.org/10.1785/0120080013</p>
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