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19 results for “Rayleigh Wave”
Dataset for "Effects of Fracture Connectivity on Rayleigh Wave Dispersion"
<p>The scripts on the main directory reproduce figures 3 to 11 in the paper. The dataset is separated into two folders which should be extracted to the directory of the scripts, frac_dist and parrot_output. frac_dist contains .mat files with the fracture distribution of samples and parrot_output contains the results from the upscaling procedure (Favino et al., 2020). A summary of each code is provided in the readme.</p>
ERA5 overviews complementing temperature measurements of ground-based Rayleigh lidars for the investigation of gravity waves generated by moving sources
<p>ERA5 overviews to associate stratospheric gravity waves in temperature measurements from vertically staring (zenith-pointing) ground-based Rayleigh lidars with atmospheric processes. Animations are for a virtual lidar location over the Southern Ocean during research flight RF25 of the DEEPWAVE campaign (July 17 to 19, 2014) and for the location of the COmpact Rayleigh Autonomous Lidar (CORAL) in the lee of the southern Andes. Here, the first overview is for the CORAL measurement from June 22 to 23, 2018. The second one is for the nightly measurements between August 7 and 9, 2020.</p> <p>(a) and (b) emulate the measurement of a vertically staring ground-based lidar and show temperature perturbations after subtracting a temporal running mean of 12h (a) and the mean absolute temperature profile (b). Panels (c) and (d) are vertical sections of stratospheric 𝑇′ along sectors of the latitude circle (c) and meridian (d) of the virtual lidar location. (e) and (f) are corresponding vertical sections of thermal stability 𝑁2 (10−4 s−2, color-coded), potential temperature (K, thin grey lines), and potential vorticity (1, 2, 4 PVU: black, 2 PVU: green). Thin black lines in the vertical sections are zonal (d, f) and meridional (c, e) wind components (solid: positive, dashed: negative). Panel (g) is a horizontal section of the height of the 2 PVU surface (km, color-coded), geopotential height (m, solid lines) and wind barbs at the 850 hPa level. The black vertical line in (a) marks the time for (c)-(g) and dashed lines in (c)-(g) highlight the location of the virtual lidar and profiles in (a) and (b).</p> <p>The provided NETCDF files contain the corresponding CORAL temperature measurements for the two periods with CORAL measurements in 2018 and 2020.</p>
Repository: Rayleigh-wave attenuation and phase velocity maps of the greater Alpine region from ambient noise
<p><br>Repository organized by Henrique Berger Roisenberg for the paper Roisenberg et al. (2024). The files are organized as follows:</p> <p><strong>Folders:</strong></p> <p><strong>-dispersion_curves:</strong><br>inside this folder there is a .zip file that contains all the dispersion curves calculated;</p> <p><strong>-attenuation:</strong><br>comprising three files with the results of attenuation calculations, i.e., the attenuation values, the grid, and the periods;</p> <p><strong>-c:</strong><br>comprising three files with the results of phase velocity calculations, i.e., the phase velocity values, the grid, and the periods;</p> <p><strong>-scripts: </strong><br>contains two python scripts, one called 'figures' to plot the figure 1, 4, and 6 of the paper, and another called 'alparray_computations' to perform the computations with the original alparray data, using seislib, resulting on the figures 2, 3, and 5 of the paper.</p> <p>Inside the folder '<strong>inputs</strong>' there are three folders that serve as input for the figures of the paper, to be used in the scripts. These are:</p> <p><strong>-raster: </strong><br>contains the topography raster used to plot the map of the study area;</p> <p><strong>-shapefiles:</strong><br>contains the shapefiles used in the regionalization analysis;</p> <p><strong>-station locations: </strong><br>contains the latitudes and longitudes of the stations used in this study.</p> <p> </p>
Fundamental mode Rayleigh wave group velocity dispersion data
<p>Fundamental-mode Rayleigh-wave group-velocity dispersion curves have been computed from 14706 regional waveforms (ray-paths) sampling India, Himalaya, Tibet and surrounding regions. These have been combined through ray-based travel-time tomography to compute 2D group-velocity maps at periods between 10 and 120~s. These ray-paths sample the region with unprecedented density and uniformity. The 2D maps have a lateral resolution of 3\deg x3\deg, comparable to the regional geology. The dispersion curves, at each 1\deg\ spaced node-points, are inverted to obtain a 3D isotropic shear-wave velocity structure.</p>
Datasets of microtremor arrays and phase velocities of Rayleigh waves
<p>Observed microtremor array data / Synthetic and observed phase-velocity data used in Cho and Iwata [2018, submitted to JGR].</p>
Cross-spectra used in "Retrieval and precise phase-velocity estimation of Rayleigh waves by the spatial autocorrelation method between distributed acoustic sensing and seismometer data"
<p>Cross-spectra used in "Retrieval and precise phase-velocity estimation of Rayleigh waves by the spatial autocorrelation method between distributed acoustic sensing and seismometer data</p> <p>", by Shun Fukushima, Masanao Shinohara, Kiwamu Nishida, Akiko Takeo, Tomoaki Yamada, and Kiyoshi Yomogida </p> <p>For more information, please contact Shun Fukushima (s-fuku@eri.u-tokyo.ac.jp)</p>
Fundamental mode Rayleigh wave group velocity dispersion data
Open the record for dataset details and reuse information.
Rayleigh wave H/V and phase velocity measurements of "3D Shear Wave Velocity Model of Salt Lake Valley via Rayleigh Wave Ellipticity Across a Temporary Geophone Array"
<p>This file includes Rayleigh wave H/V and phase velocity measurements of the paper "3D Shear Wave Velocity Model of Salt Lake Valley via Rayleigh Wave Ellipticity Across a Temporary Geophone Array" in journal The Seismic Record by Qicheng Zeng, Fan-Chi Lin, and Amir A. Allam. Detailed desciption in README in the zip file.</p>
CSRM Level 2 dataset: Rayleigh wave phase and group velocity maps in continental China
<p>This dataset contains the Rayleigh wave phase/group velocity maps at the period range from 8 to 70 s. These maps are obtained by travel time tomography using the <strong>639,171</strong> inter-station and <strong>54,792 </strong>event-station Rayleigh wave phase/group velicity dispersion curves (<a href="../records/8103561">data link</a>). The spatial resolution of these maps is ~60 km in the north-south seismic belt and thans-North China Orogen regions, and ~120 km in the rest of the continental China. This dataset results from a project of constructing the high-resolution China Seismological Reference Model (<strong>CSRM-1.0</strong>) in the top 100 km of the crust and uppermost mantle in continental China (<a href="https://doi.org/10.1029/2024JB029520">Xiao et al, JGR, 2024</a>) (<a href="https://doi.org/10.5281/zenodo.11098135">model link</a>).</p> <p>本数据库包含了利用 <strong>8 - 70 s </strong>的中国大陆区域瑞利波相/群速度结构。反演该相/群速度结构用到了 <strong>639,171 </strong>条台站间瑞利波相/群速度频散曲线和 <strong>54,792 </strong>事件-台站间频散曲线(数据链接)。相/群速度图在南北地震带和华北造山带的分辨率约为 <strong>60</strong> km, 在中国大陆其他区域的分辨率约为 <strong>120</strong> km。该数据库源于构建中国大陆区域高精度地壳和上地幔顶部 100 公里三维地震学模型(<strong>CSRM-1.0</strong>)的工作 (<a href="https://doi.org/10.1029/2024JB029520">Xiao et al, JGR, 2024</a>) (<a href="https://doi.org/10.5281/zenodo.11098135">模型链接</a>) 。</p> <p>If you face any problem or issue in the usage of this dataset, please feel free to communicate with the corresponding author Xiao Xiao (<strong>xiaox.seis@gmail.com</strong>). </p>
The ambient noise cross-correlation function and teleseismic events, the Love-wave phase velocities, Rayleigh-wave phase and group velocities and H/V, Vsv and Vsh model in the study region (CNCC)
<p>The cross-correlation functions form EOBSArray (COR_CNCC), The Love-wave phase velocities (Love_phase), Rayleigh-wave phase (Rayleigh_phase) and group velocities (Rayleigh_group) and H/V (HtoV),and 3-D Vsv and Vsh model and related uncertainties (Vsv_Vsh_model) in the study region (CNCC) are archieved in the file named CNCC_data.7z.</p>
Global Rayleigh wave amplitude dataset (van Heijst and Woodhouse, 1997, 1999).
<p>The global vertical-component Rayleigh wave amplitude dataset made by Hendrik van Heijst and John Woodhouse.</p> <p>See README for information.</p> <p>Citations:</p> <p>van Heijst, H.J. and Woodhouse, J., 1997. Measuring surface-wave overtone phase velocities using a mode-branch stripping technique. Geophysical Journal International, 131(2), pp.209-230.</p> <p>Jan van Heijst, Hendrik, and John Woodhouse. "Global high-resolution phase velocity distributions of overtone and fundamental-mode surface waves determined by mode branch stripping." Geophysical Journal International 137.3 (1999): 601-620.</p>
3-D crustal model of NE Tibet via joint inversion of Rayleigh Wave ellipticity and phase velocity
<p>The file "CC.tar.gz" contains all ZZ, ZR, RZ, and RR components cross-correlation functions for all available station pairs.</p> <p>The file "EQ.tar.gz" contains BHZ and BHR components teleseismic Rayleigh wave data for all stations.</p> <p>The file "HZ.tar.gz" contains the H/Z ratio measurements at 8-50 s periods for each station.</p> <p>The file "Model.tar.gz" contains the 3-D crustal model of NE Tibet via joint inversion of Rayleigh Wave ellipticity and phase velocity.</p> <p> </p>
Crustal and upper mantle structure beneath SE China from joint analysis of receiver functions and Rayleigh-wave dispersion
<p>This file contains our new 3-D shear-wave velocity model for SE China.</p>
Seismic metasurfaces on porous layered media: Surface resonators and fluid-solid interaction effects on the propagation of Rayleigh waves
<p>Matlab codes related to the results in published journal papers: <a href="https://doi.org/10.1016/j.ijengsci.2020.103347">https://doi.org/10.1016/j.ijengsci.2020.103347</a></p>
Exploiting the potential of urban DAS grids: Ambient-noise subsurface imaging using joint Rayleigh and Love waves
<p>Ambient-noise cross-correlation functions used in this study.</p> <p>This work can be found at GitHub: <a href="https://github.com/NickJi98/DAS_Love_wave_2024_SRL.git" target="_blank" rel="noopener">https://github.com/NickJi98/DAS_Love_wave_2024_SRL.git</a></p>
CSRM Level 2 dataset: long-period Rayleigh wave ellipticity in continental China from earthquake data
<p>This dataset contains the long-period Rayleigh wave ellipticity (20 - 80 s in period) measured from three-component Rayleigh wave waveforms of <strong>9361</strong> tele-seismic events recorded by <strong>4193</strong> seismic stations deployed in continental China during 1990 and 2020. This dataset results from a project of constructing the high-resolution China Seismological Reference Model (<strong>CSRM-1.0</strong>) in the top 100 km of the crust and uppermost mantle in continental China (<a href="https://doi.org/10.1029/2024JB029520">Xiao et al, JGR, 2024</a>) (<a href="https://doi.org/10.5281/zenodo.11098135">model link</a>). </p> <p>本数据库包含了利用 1990 至 2020 年间中国大陆区域 <strong>4193</strong> 个地震台站记录的 <strong>9361</strong> 个远震瑞利波波形测量得到的长周期瑞利波偏振( 周期 20 - 80 s )。该数据库源于构建中国大陆区域高精度地壳和上地幔顶部100 公里三维地震学模型(CSRM-1.0)的工作 (<a href="https://doi.org/10.1029/2024JB029520">Xiao et al, JGR, 2024</a>) (<a href="https://doi.org/10.5281/zenodo.11098135">模型链接</a>) 。</p> <p>If you face any problem or issue in the usage of this dataset, please feel free to communicate with the corresponding author Xiao Xiao (<strong>xiaox.seis@gmail.com</strong>). </p>
CSRM Level 2 dataset: event-station Rayleigh wave phase and group velocity dispersion curves in continental China from regional earthquake data
<p>This dataset contains the <strong>54,792</strong> event-station Rayleigh wave phase and group velocity dispersion curves from vertical-component waveforms of <strong>226 </strong>regional earthquakes recorded by <strong>1463</strong> seismic stations. This dataset results from a project of constructing the high-resolution China Seismological Reference Model (<strong>CSRM-1.0</strong>) in the top 100 km of the crust and uppermost mantle in continental China (<a href="https://doi.org/10.1029/2024JB029520">Xiao et al, JGR, 2024</a>) (<a href="https://doi.org/10.5281/zenodo.11098135">model link</a>). </p> <p>本数据库包含了利用中国大陆区域 <strong>1463</strong> 个地震台站记录的 <strong>226</strong> 个区域地震的波形数据计算的 <strong>54,792 </strong>条事件-台站间瑞利波相/群速度频散曲线。该数据库源于构建中国大陆区域高精度地壳和上地幔顶部 100 公里三维地震学模型(<strong>CSRM-1.0</strong>)的工作 (<a href="https://doi.org/10.1029/2024JB029520">Xiao et al, JGR, 2024</a>) (<a href="https://doi.org/10.5281/zenodo.11098135">模型链接</a>) 。</p> <p>If you face any problem or issue in the usage of this dataset, please feel free to communicate with the corresponding author Xiao Xiao (<strong>xiaox.seis@gmail.com</strong>). </p>
Data for "Extraction and Inversion of Coherent Rayleigh Waves from Urban Anthropogenic Noise with Distributed Acoustic Sensing"
<p>Data for "Extraction and Inversion of Coherent Rayleigh Waves from Urban Anthropogenic Noise with Distributed Acoustic Sensing"</p> <p> </p>
CSRM Level 2 dataset: short-period Rayleigh wave ellipticity in continental China
<p>This dataset contains the short-period Rayleigh wave ellipticity (4 - 8 s in period) measured from continuous waveforms of seismic ambient noise recorded by 3848 seismic stations deployed in continental China during 1990 and 2017. This dataset results from a project of constructing a 3-D seismic model of the shallow crust in continental China (<a href="https://doi.org/10.1093/gji/ggab022">Xiao et al, 2021, GJI</a>) (<a href="https://doi.org/10.5281/zenodo.8099245">model link</a>). </p> <p>本数据库包含了利用1990 至 2017 年间中国大陆区域地震台站记录的连续背景噪声波形测量得到的短周期瑞利波偏振( 周期 4 - 8 s )。该数据库源于构建中国大陆区域高精度浅层地壳三维地震学模型的工作 (<a href="https://doi.org/10.1093/gji/ggab022">Xiao et al, 2021, GJI</a>) (<a href="https://doi.org/10.5281/zenodo.8099245">模型链接</a>) 。</p> <p>If you face any problem or issue in the usage of this dataset, please feel free to communicate with the corresponding author Xiao Xiao (<strong>xiaox.seis@gmail.com</strong>). </p>
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