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206 results for “subduction”
Melt Focusing Along Permeability Barriers at Subduction Zones and the Location of Volcanic Arcs: Numerical models
<p>The dataset includes 2-D subduction zone models calculated by Comsol Mutiphysics®, slab geometry, subduction parameters, and the prediction results.</p> <p>Each numerical model solves the thermal structure of 31 subduction zones. The 2-D slab geometry of each subduction zone is obtained from the compilations of global subduction geometries based on earthquake catalogs Slab 1.0 and Slab2 (Hayes et al., 2012; 2018). Each slab geometry is imported in the corresponding Comsol model as a text file format. Below the point where the slab depth data is unavailable, the slab interface is simply defined as a straight line with the same dip to the bottom of the computation domain. The subduction parameters used in the models are available in Table 1.</p> <p>Using the calculated thermal structure at 30 Ma, we approximate the locations of the arc as the apices of 5 isotherms at 100°C interval within 800°C – 1200°C. The predicted arc locations from each isotherm are reported in Table 2 as the horizontal distance from the trench. The actual arc location in each model is defined as the point on the surface where the slab interface reaches the subarc slab depth <em>H</em> in Table 1 and reported as the horizontal distance from the trench in Table 2. The slab water loss depth and rate obtained from van Keken et al. (2011) are presented in Table 2. In case of the maximum temperature above the water loss depth is higher than the experimentally-derived melting condition, 800°C, we report the horizontal distance from the trench. The width of the horizontal distance of slab water loss depth is assumed as the expected melting region. </p>
Wave propagation of local earthquakess in a subduction zone
<p>The movie shows wave propagation simulations that we used to model the synthetic seismograms presented in the manuscript "Toward waveform-based characterization of slab & mantle wedge (SAM) earthquakes" by Felix Halpaap, Stéphane Rondenay, Qinya Liu, Florian Millet, Lars Ottemöller. The movie contains four panels, corresponding to four waveform simulations of earthquakes occurring (i, top left) in the mantle wedge, (ii, bottom left) on the subduction interface, (iii, top right) in the slab crust, (iv, bottom right) in the slab mantle. In the movie, the simulation runs are synchronized to show the P-wave arrival at a station vertically above the earthquake at the same time. The counter in the top left corner indicates the simulation time relative to the P-wave arrival at that station. To enhance the visibility of small-amplitude wavefronts, the color intensity of the wavefronts corresponds to a logarithmic scaling of the wavefront amplitudes, with wavefront amplitudes below 0.5 % muted. The amplitudes here correspond to the norm of the displacement vector (i.e., showing particle motion in the horizontal and vertical directions).</p>
Rheological structure and lithospheric stress interaction in the Alaska subduction zone gleaned from the 2018 Mw 7.9 oceanic crustal earthquake
<p>This repository contains the observed and modeled first 2-year timeseries of postseismic deformation at GPS sites in the best-fit model associated with the 2018 Mw 7.9 Kodiak, Alaska earthquake (Timeseries.rar), as well as the preferred afterslip on the fault (Afterslip.rar).</p>
Data for: Slab buckling as a driver for rapid oscillations in plate motion and subduction rate
<p>Data to make the figures in the manuscript: Slab buckling as a driver for rapid oscillations in plate motion and subduction rate by van der Wiel & Pokorny. The readme explains the .txt files.</p>
Thermal modeling of subduction zones with prescribed and evolving 2D and 3D slab geometries data
<p>Deforming subduction zone finite element model temperature, velocity, surface and flux field data as reported in the work:</p> <p>N. Sime, C. R. Wilson and P. E. van Keken<br> Thermal modeling of subduction zones with prescribed and evolving 2D and 3D slab geometries.</p>
Mechanisms for Layered Anisotropy and Anomalous Magmatism of Alaska Subduction System Revealed by Ambient Noise Tomography and the Wave Gradiometry Method
<p>Depth Coverage: 2.0 - 230.0 km<br>Areal Coverage: Latitude: 54.8 to 72.0 Longitude: -168.0 to -129.0<br>Model Description: A high-resolution 3D azimuthal anisotropic shear wave velocity model beneath Alaska and its surroundings on a ~50‐km grid extracted by ambient noise tomography and wave gradiometry method .</p> <p>Columns in the subfile, from left to right, are latitude, longitude, shear wave velocity, fast direction, and the magnitude of anisotropy, respectively. </p>
Data from the article "Past large earthquakes influence future strong ground motion in subduction zones".
<p>Rupture and Ground motion data (version 2) in the central zone of Chile using kinematic seismic simulation data published in https://doi.org/10.1007/s11069-024-06651-9. The rupture process is derived from coupling and geometry data incorporated into the Heterogeneous Energy-Based method (https://doi.org/10.1515/geo-2022-0522).</p> <p>A video summarizing the data and results can be found in: <a href="https://youtu.be/VDIgko7ieEY?si=U_hoXBcO3OlM6XY8">https://youtu.be/VDIgko7ieEY?si=U_hoXBcO3OlM6XY8</a> <br><br>Please note that this is a revised version where the data code has been slightly modified compared to its previous version.</p>
Not all Heterogeneity is Equal: Length Scale of Frictional Property Variation as a control on Subduction Megathrust Sliding Behavior
<p>The folder SSS_Results.zip contains the following files:</p> <p>1) A .txt for each simulation that contains (1st column) simulated timestep in seconds; (2nd column) maximum slip velocity at each timestep in m/s; and (3rd column) maximum slip velocity taken from the center of the velocity-strengthening blocks in m/s at each time step.</p> <p>2) A .mat file for each simulation that contains the same output as the .txt file, and in addition a MATLAB structure 'p' that serves as an input file to run each simulation using RSFaultZ, found at <a href="https://github.com/rmskarbek/RSFaultZ">https://github.com/rmskarbek/RSFaultZ</a></p> <p>3) PartialStabilityData.mat - results from linear stability analysis.</p> <p>4) ReducedArchiveData.m, SSS_Fig3.m, SSS_Fig4.m - Three MATLAB scripts that will automatically generate figures 3 and 4 in the related paper. </p> <p>NOTE: SSS_Fig3.m uses a perceptually uniform color map that requires an additional MATLAB package: <a href="https://www.mathworks.com/matlabcentral/fileexchange/68546-crameri-perceptually-uniform-scientific-colormaps">https://www.mathworks.com/matlabcentral/fileexchange/68546-crameri-perceptually-uniform-scientific-colormaps</a></p> <p>For any additional information please do not hesitate to contact the corresponding author Rob Skarbek at rskarbek@psi.edu.</p> <p>Additional MATLAB scripts that will reproduce the simulations themselves can be found at <a href="https://github.com/rmskarbek/RSFaultZ/tree/main/examples/blocks">https://github.com/rmskarbek/RSFaultZ/tree/main/examples/blocks</a></p>
Data for the "Tomographic Imaging of the Pampean Flat Slab: Evidence of Subduction Erosion and Volatile Migration"
<p>This repository includes:</p> <p>1. README - explanation of the information in each column for the datasets<br>2. regional.data.gz - automated catalogue of earthquake locations with P and S arrival times used in the tomography<br>3. surfacewave.data.gz – dispersion curves (ambient noise and "virtual") used in the tomography<br>4. station.list – locations of the seismic stations used in this study<br>5. finmod.ascii.gz - the preferred final model from the tomography (in ASCII format)</p>
Catalog and moment rate function dataset of shallow VLFE southeast off the Kii Peninsula, in the Nankai subduction zone
<h2>Catalog</h2> <p>"VLFE_catalog_latestUTC" is the catalog file. Estimated origin time (JST), longitude, latitude, seismic moment, duration, seismic moment (half-value width), half-value width, Variance reduction, and estimated origin time (UTC) of each shallow VLFE are listed. </p> <p>"VLFE_catalog_SP_latestUTC" is the catalog file for shallow VLFEs evaluated via a single Küpper wavelet with various durations. </p> <h2>Inversion results</h2> <p>YYYYDDMMHHMM is the directory name of a shallow VLFE that occurred in HH:MM DD MM YYYY (JST). </p> <ul> <li>YYYYDDMMHHMM_VR.dat: spatiotemporal variation of variance reduction in inversion procedure. </li> <li>YYYYDDMMHHMM_param.stfvlf: parameter file for inversion. Station names and their weight in inversion are listed.</li> <li>YYYYDDMMHHMM_solution.png: Image file illustrating inversion result. </li> <li>YYYYDDMMHHMM_stf_optimal.sac: SAC format file for the estimated optimal moment rate function of a shallow VLFE. </li> <li>YYYYDDMMHHMM_stf_optimal.dat: ASCII format file for the estimated optimal moment rate function of a shallow VLFE. Estimation errors were evaluated from five-time simulated annealing procedures for different random seeds. </li> <li>YYYYDDMMHHMM_solution_SP.png: Image file illustrating inversion result based on the single-pulse assumption.</li> <li>YYYYDDMMHHMM_stf_optimal_SP.sac: SAC format file for the estimated optimal moment rate function of a shallow VLFE based on the single-pulse assumption.</li> <li>YYYYDDMMHHMM_stf_optimal_SP.dat: ASCII format file for the estimated optimal moment rate function of a shallow VLFE based on the single-pulse assumption.</li> </ul> <p><strong>Details for methods and results</strong></p> <p><span>Takemura, S.</span>, <span>Yabe, S.</span>, <span>Emoto, K.</span>, & <span>Baba, S.</span> (<span>2025</span>). <span>Along-dip variations in source characteristics of shallow slow earthquakes controlled by topography of subducted oceanic plate</span>. <em>Journal of Geophysical Research: Solid Earth</em>, <span>130</span>, e2024JB030751. <a href="https://doi.org/10.1029/2024JB030751">https://doi.org/10.1029/2024JB030751</a></p>
Seafloor pressure data from 2019 deployment at the Hikurangi subduction zone, New Zealand
<p>We include here hourly seafloor pressure time series (and locations) from a 2019 deployment at the Hikurangi subduction zone, used in "Using seafloor geodesy to detect vertical deformation at the Hikurangi subduction zone: insights from self-calibrating pressure sensors and ocean general circulation models", a paper submitted to JGR: Solid Earth in January 2022.</p> <p><strong>APG_hikurangi_2019.json/.mat: </strong>Seafloor pressure time series data (JSON and MATLAB format) from a deployment at the Hikurangi subduction zone in 2019. The files contain the hourly time series in datetime (UTC) and pressure in hectopascals, with the convention that a decrease in pressure is equivalent to a reduction in the height of the water column (seafloor uplift).</p> <p>The only processing that has been applied to the data is filtering using a 2-day corner lowpass filter for all sites, and the A-0-A correction for the POBS sensors (which are therefore drift corrected). All APGs not equipped with A-0-A still contain sensor drift. Each time series has been adjusted using the mean of the absolute data, which is why the time series for the sites plot about zero - amplitude has been preserved.</p> <p><strong>locations_APG_hikurangi_2019.csv: </strong>Locations of the seafloor pressure sites from a deployment at the Hikurangi subduction zone in 2019. Indicated for each site are the sensor’s institute (UTIG - University of Texas Institute for Geophysics, Austin, USA; GNS Science - GNS Science, New Zealand; LDEO - Lamont-Doherty Earth Observatory, Columbia University, USA; KU - Kyoto University and Tohoku University, Japan), A-0-A drift correction capability, deployment longitude, latitude, and depth, and whether there are usable data. The sensors without usable data either contained data logger issues or were not recovered, and are not included in APG_hikurangi_2019.json/.mat.</p>
Lithosphere tearing and foundering during continental subduction: insights from Oligocene-Miocene magmatism in southern Tibet
<p>Table S1. Major and trace elements and age data summary.</p> <p>Table S2. Zircon U-Pb ages.</p> <p>Table S3. Mineral major elements.</p> <p>Table S4. Zircon trace elements.</p> <p>Table S5. Published ages of the Oligocene to Miocene igneous rocks in southern Tibet</p> <p>Table S6. Calculated primary magmas and P estimates of the ultrapotassic rocks in southern Tibet.</p>
Late Eocene Subduction Initiation of the Indian Ocean in the North Sulawesi Arc, Indonesia, Induced by Abrupt Australian Plate Acceleration
<p>Supplementary Tables (S1-S3) for a manuscript submitted to Lithos entitled "Late Eocene Subduction Initiation of the Indian Ocean in the North Sulawesi Arc, Indonesia, Induced by Abrupt Australian Plate Acceleration".</p>
Data for "Sea-level stability over geologic time owing to limited deep subduction of hydrated mantle"
<p>This repository contains data to reproduce the results displayed in the manuscript : "Sea-level stability over geologic time owing to limited deep subduction of hydrated mantle" by Cerpa, N. G., Arcay, D., & Padron-Navarta J. A.<br> The data includes the P-T paths and the slab-water retention for the 56 modeled subduction transects. </p>
Source models for "Across-slab propagation and low stress drops of deep earthquakes in the Kuril subduction zone"
<p>This repository is for the model results for eight deep earthquakes in the Kuril subduction zone modelled using a second-degree moments method in csv format.</p> <p><a href="https://zenodo.org/api/files/ee2b378e-c4a5-4ef0-b07b-e2b2513b3236/Turner_et_al_2022_model_results_subvertical.csv">Turner_et_al_2022_model_results_subvertical.csv</a> - Source models with fixed Amin > 5 km, assuming the sub-vertical fault plane reported in the GCMT catalogue. Event is the GCMT event code. Aspect ratio is the ratio (Amin/Amax). Duration is the rupture duration; Amax is the maximum characteristic fault dimension; Amin is the minimum characteristic fault dimension; Phi is the angle between Amax and the strike; v0 is the centroid velocity; Theta is the angle between the centroid velocity and the strike; and mft is the misfit between the data and the higher-order synthetics calculated for the best-fitting source model obtained from the Monte Carlo inversions.</p> <p> </p> <p><a href="https://zenodo.org/api/files/ee2b378e-c4a5-4ef0-b07b-e2b2513b3236/Turner_et_al_2022_model_results_subvertical.csv">Turner_et_al_2022_model_results_subhorizontal.csv</a> - Source models with fixed Amin > 5 km, assuming the sub-vertical fault plane reported in the GCMT catalogue. Column headers are the same as in <a href="https://zenodo.org/api/files/ee2b378e-c4a5-4ef0-b07b-e2b2513b3236/Turner_et_al_2022_model_results_subvertical.csv">Turner_et_al_2022_model_results_subvertical.csv</a>.</p>
Dataset related to Balazs et al. The dynamics of forearc – back-arc basin subsidence: numerical models and observations from Mediterranean subduction zones
<p>Additional model data to publication by Balazs et al. The dynamics of forearc – back-arc basin subsidence: numerical models and observations from Mediterranean subduction zones</p>
Dataset for "Protracted subduction of the European hyperextended margin revealed by rutile U-Pb geochronology across the Dora-Maira massif (W. Alps)"
<p>Dataset for "Protracted subduction of the European hyperextended margin revealed by rutile U-Pb geochronology across the Dora-Maira massif (W. Alps)"</p> <p>- Sample location</p> <p>- Rutile U-Pb-trace-element analyses</p> <p>- Titanite U-Pb-trace-element analyses</p>
Data sets for "Formation of an Al-rich niccolite-type silica in subducted oceanic crust: implications for water transport to the deep lower mantle"
<p>This is the XRD and IR datasets for the article "Formation of an Al-rich niccolite-type silica in subducted oceanic crust: implications for water transport to the deep lower mantle" by Liu and Yuan et al.</p>
Crustal anatomy and evolution of a subduction-related orogenic system: Insights from the Southern Central Andes (22-35°S)
<p>Kinematic models made with software MOVE, presented in the article "Crustal anatomy and evolution of a subduction-related orogenic system: Insights from the Southern Central Andes (22-35°S)".</p> <p><br> SPANISH: Modelos cinemáticos realizados en el software MOVE correspondientes al articulo: "Crustal anatomy and evolution of a subduction-related orogenic system: Insights from the Southern Central Andes (22-35°S)". (Anatomía cortical y evolución de un sistema orogénico relacionado a subducción)</p>
Experimental constraints on the fate of subducted sedimentary nitrogen in the reduced mantle
<p>Dataset for "Experimental constraints on the fate of subducted sedimentary nitrogen in the reduced mantle".</p>
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