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14 results for “code velocity”
Dataset and codes for 'Climatic control on seasonal variations of glacier surface velocity'
<p><strong>This repository contains the codes and processed data used to retrieve 10-day changes in glacier surface velocity over the Western Pamir.</strong></p> <p>The supp_CODES.zip contains all details and codes to use COSI-CORR (<a href="http://www.tectonics.caltech.edu/slip_history/spot_coseis/">http://www.tectonics.caltech.edu/slip_history/spot_coseis/</a>) to process a large batch of satellite images. The images can be downloaded directly via <a href="https://earthexplorer.usgs.gov/">https://earthexplorer.usgs.gov/</a> or <a href="https://scihub.copernicus.eu/">https://scihub.copernicus.eu</a>. Please read the Methods and Data section of the associated manuscript for details.</p> <p> </p> <p>The Matrix_velocities.zip contains, for each of the 48 investigated glaciers, the DEM, X, Y (NANNI_2022_supp_glacier_centreline_DEM_XY_1px_30m_1.txt) as well as a matrix of n*m with m the distance along flow and n the number of time step over which the velocity is calculated (NANNI_2022_supp_glacier_centreline_vel_matrix_1px_30m_1.txt), ans the associated figure that show the multi year velocity changes together with the one year average and the along centreline profiles. An example is shown in the two figures for glacier 48 in the main repository.</p> <p> </p> <p>The NANNI_2022_supp_glacier_characteristics file contains the glacier characteristics (48*8), as shown in the associated figures.</p> <p> </p> <p>The NANNI_2022_supp_pickedpoints_migration_AUTUMN/SPRING contains the automatically picked points for the onset of the acceleration in Spring and Autmun for each glacier. The headers contains the information, and the files contains is shown in the associated figure.</p> <p>the temperature profiles used to calculate the Iso 0C are in NANNI_2022_supp_temp_perday_fedchenko_2400m</p> <p>The position of each 48 glacier is shown in the associated figure.</p> <p> </p> <p>You can also find the processed velocity fields (velocity magnitude) under the different path an row: p151r33.zip and p152r33.zip for Landsat8, T42SYJ.zip and T43SBD.zip for Sentinel 2. In these folder you will a find a .tif file names similar to:</p> <p><em>Working_cosicorr_windows_FCorr_16days_p152r33_159_175_AB_1101110_Filtered_correlations_p152r33_filtered_abs.tif</em></p> <p>The name of the files gives information about the time span used (16days), the path and raw (p152r33), the data of the slave in DOY from 2013 (159) and of the master (175).</p> <p>The Statistics.zip file contains for each path and row the associated DEM, glacier mask (RGI), median magnitude (ABS), median NS displacement (NS), median EW displacemnt (EW), with the associated median absolute deviation (MAD). The files containing 'bflt' corresponds to the values computed before the filtering procedure, and the one without, after the filtering procedure. </p> <p>The .tif files are not georeferenced, but are all projected on the same grid with a 30m square pixel size on a UTM 33 42N projection.</p> <p> </p> <p> </p> <p>Please contact me for any question.</p> <p> </p> <div class="notranslate"> </div>
Nabro 3D velocity model produced by the FMTOMO code
<p>These files relate to "Seismic tomography of Nabro caldera, Eritrea: insights into the magmatic and hydrothermal systems of a recently erupted volcano" by Gauntlett et al., 2023. </p> <p>Original seismic waveforms are from the Nabro Urgency Array (Hammond et al., 2011; <a href="https://doi.org/10.7914/SN/4H_2011">https://doi.org/10.7914/SN/4H_2011</a>), which is publicly available through IRIS Data Services (<a href="http://service.iris.edu/fdsnws/dataselect/1/">http://service.iris.edu/fdsnws/dataselect/1/</a>). See Hammond et al. (<a href="https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2021JB021910#jgrb55017-bib-0025">2011</a>) for further details on waveform data access and availability. Sources were originally located by Lapins et al. (<a href="https://doi.org/10.1029/2021JB021910">2021</a>), and the full catalogue is archived <a href="https://zenodo.org/record/7669717#.ZAXtfuymP0s">here</a> (Lapins, 2022). </p> <p>The FMTOMO package is freely available to download at<a href="http://rses.anu.edu.au/~nick/fmtomo.html"> http://rses.anu.edu.au/~nick/fmtomo.html</a>. </p> <p>This repository contains three 3D velocity models:</p> <ol> <li>vp_model.out</li> <li>vs_model.out</li> <li>vpvs_model.out</li> </ol> <p>These plain text files comprise the output of the FMTOMO tomography algorithm, which inverts for 3D P-wave velocity and S-wave velocity Vp and Vs) structure and Vp/Vs ratio for a grid centred around Nabro volcano. The velocity is given in km/s for Vp and Vs, and the values are dimensionless for Vp/Vs ratio.</p> <p>The grid is specified in the first four lines of the file:</p> <ul> <li>Line 1: for these data, this line will always hold the values `1' and `1'. </li> <li>Line 2: the number of grid nodes in radius (depth), latitude and longitude. </li> <li>Line 3: the radial (depth) node spacing in km, latitude spacing in radians, longitude spacing in radians.</li> <li>Line 4: the grid origin radius (km), latitude (radians) and longitude (radians).</li> </ul> <p>Each node of the grid has a P-wave, S-wave and Vp/Vs ratio associated with it, which is specified in lines 5 onward.</p> <ul> <li>Line 5 - 55229: Value of Vp, Vs or Vp/Vs (given by file name) at each node.</li> </ul> <p>The values loop over the grid, with longitude varying first, and radius last. The first node is at the grid origin. The second node is at the grid origin, plus the grid spacing in longitude. This continues for the `nlon` longitude nodes. The `nlon+1`the point is then at the grid origin, plus the latitude spacing; and so on.</p> <p>If there are `nr` radial nodes, `nlat` latitude nodes and `nlon` longitude nodes, then the following pseudocode shows how to read lines 5 forwards using the imaginary function `readline`, which reads a single real value from a plain text file and moves to the next line:</p> <p>```</p> <p># Comment: have already read the first four lines</p> <p>for ir in 1:nr:</p> <p>for ilat in 1:nlat:</p> <p>for ilon in 1:nlon:</p> <p>grid[ir,ilat,ilon] = readline(file_handle)</p> <p>```</p> <p>The repository also contains the event catalogue, with hypocenter locations after relocation by the FMTOMO code:</p> <p>4. event_catalogue.csv</p> <p>The columns are depth in km (negative values indicate depths below sea level, positive values indicate depths above sea level), latitude in degrees, longitude in degrees, depth error (km), latitude error (km), longitude error (km). </p>
Code and Velocity Data for Sustained indentation in 2D models of continental collision involving whole mantle subduction
<p>Contains the Python code for all models and resolution tests using the <a href="https://www.underworldcode.org/intro-to-underworld">underworld geodynamics code</a> in "Sustained indentation in 2D models of continental collision involving whole mantle subduction" submitted to GJI</p>
A High-Performance Code for Analyzing Loss Transport Equations in High-Fidelity Simulations - velocity field data
<p>Velocity field to be processed by the methodology described in </p> <p>Biassoni, D, Russo, M, Viviani, P, Vitali, G, & Lengani, D. "A High-Performance Code for Analyzing Loss Transport Equations in High-Fidelity Simulations." <em>Proceedings of the ASME Turbo Expo 2024: Turbomachinery Technical Conference and Exposition</em>. <em>Volume 12C: Turbomachinery — Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise, and Component Interactions</em>. London, United Kingdom. June 24–28, 2024. V12CT32A039. ASME. <a href="https://doi.org/10.1115/GT2024-127953" target="_blank" rel="noopener">https://doi.org/10.1115/GT2024-127953</a></p> <p>and with the code provided at </p> <p><a href="https://gitlab.linksfoundation.com/across-public/aeronautics-workflows/asme-turboexpo-2024">https://gitlab.linksfoundation.com/across-public/aeronautics-workflows/asme-turboexpo-2024</a></p> <h3> </h3>
Data and Code from Pritchard & Vallejo-Marin (2020) "Floral vibrations by buzz-pollinating bees achieve higher frequency, velocity and acceleration than flight and defence vibrations"
<p>Data and Code from Pritchard & Vallejo-Marin (2020) "Floral vibrations by buzz-pollinating bees achieve higher frequency, velocity and acceleration than flight and defence vibrations" Journal of Experimental Biology. doi: 10.1242/jeb.220541</p>
Code for noise-based seismic velocity changes estimation with the Bezymianny volcano data set. Journal of Volcanology and Geothermal Research.
<p>This file contains all the data and the python scripts used to estimate seismic velocity changes for the Bezymianny volcano (Klyuchevskoy volcano group). It also includes a guideline README.pdf with the description how to reproduce all the results presented in the paper <strong>Berezhnev Y., Belovezhets N., Shapiro N., Koulakov I. (2022), Temporal changes of seismic velocities below Bezymianny volcano prior to its explosive eruption on 20.12.2017, Journal of Volcanology and Geothermal Research</strong></p>
GPS data and plotting codes for Remote Sensing paper titled Utilizing Seismic Station Internal GPS for Tracking Surging Glacier Sliding Velocity
<p>Data files (meteorological data, sattelite derived velocity time series, and seismic station GPS data) and plotting codes to reproduce the dataset and plots presented in the paper Gajek et al., Utilizing Seismic Station Internal GPS for Tracking Surging Glacier Sliding Velocity</p>
Data and Code for "Drift velocity of bacterial chemotaxis in dynamic chemical environments"
<p>Datasets and code required to recreate all results from "Drift velocity of bacterial chemotaxis in dynamic chemical environments"</p>
Simulation code for fluids in two dimensions - density and velocity movies
<p>Movies of the density perturbation and the magnitude of the velocity in a longitudinal only run. The data for the movies has been obtained using the simulation code found <a href="https://zenodo.org/record/5786090#.YbtUr71BwuU">here</a>.</p>
Data and code for figures: Polychromatic Cherenkov radiation induced group velocity symmetry breaking in counterpropagating dissipative Kerr solitons
<p>This dataset contains the data presented in the Figures of the paper <Polychromatic Cherenkov radiation induced group velocity symmetry breaking in counterpropagating dissipative Kerr solitons>.</p>
Code and data for "Coupling cell shape and velocity leads to oscillation and circling in keratocyte galvanotaxis"
<p>Code and data to reproduce "Coupling cell shape and velocity leads to oscillation and circling in keratocyte galvanotaxis" Biophys. J. doi: <a href="https://doi.org/10.1016/j.bpj.2022.11.021">https://doi.org/10.1016/j.bpj.2022.11.021</a></p>
InSAR-derived horizontal velocities in a global reference frame - final output dataset and software codes
<p>The output dataset as described in the article in title, extracted from COMET LiCSAR dataset in March 2021.</p> <p>We also provide a snapshot of the python3 codes used to generate the output dataset.</p> <p>Contents and description of the dataset:</p> <p>uaz_values.csv<br> ==============<br> Contains u_az values and other relevant data in columns:<br> frame - ID of related frame (same as in frame_values.csv)<br> esd_master - reference acquisition epoch<br> epoch - date of acquisition epoch<br> daz_total_wrt_orbits - original extracted azimuth shift w.r.t. orbits<br> daz_cc_wrt_orbits - original extracted azimuth shift w.r.t. orbits from intensity cross-correlation (prior to spectral diversity)<br> drg_wrt_orbits - original extracted range shift w.r.t. orbits<br> orbits_precision - precision of applied orbits (P..precise, R..restituted)<br> version - orbits version<br> daz_iono_grad_mm - u_az from ionosphere propagation<br> tecs_A - estimated TECs at centre of hyphotetical burst A<br> tecs_A - estimated TECs at centre of hyphotetical burst B<br> daz_mm_notide - u_az after correction of solid-earth tides<br> daz_mm_notide_noiono_grad - u_az after correction of solid-earth tides and ionospheric gradient propagation<br> is_outlier_* - flag of outlier datapoint, as identified through Huber loss function (related to velocity estimates in frame_values.csv)</p> <p>frame_values.csv<br> ================<br> Contains along-track velocity estimates and other relevant data in columns:<br> frame - ID of related frame<br> master - reference acquisition epoch<br> center_lon - longitude coordinate of the frame centre<br> center_lat - latitude coordinate of the frame centre<br> heading - satellite heading angle (from the geograpic north)<br> azimuth_resolution - extracted azimuth pixel spacing (in metres)<br> range_resolution - extracted range pixel spacing (in metres)<br> avg_incidence_angle - average incidence angle of the frame<br> centre_range_m - approximate slant distance between the satellite and centre of the frame<br> centre_time - acquisition time (UTC) of centre of the frame at the reference epoch (appliable to other epochs)<br> s1AorB - flag of S-1A or B of the reference epoch<br> slope_plates_vel_azi_itrf2014 - along-track velocity estimated from ITRF2014 plate motion model<br> slope_daz_mm_mmyear - estimated along-track velocity from the original u_az values (in mm/year)<br> slope_daz_mm_notide_mmyear - estimated along-track velocity from u_az values after correction on solid-earth tides<br> slope_daz_mm_notide_noiono_grad_mmyear - estimated along-track velocity from u_az values after correction on solid-earth tides and ionosphere<br> intercept_* - corresponding intercept (in mm)<br> *_RMSE_selection - RMSE of outlier-free u_az data samples<br> *_count_selection - count of outlier-free u_az data samples used to estimate corresponding velocity<br> *_RMSE_mmy_full - RMSE from all u_az data samples applying corresponding velocity and intercept (in mm/year)</p> <p><br> decomposed_grid.csv<br> ===================<br> Contains decomposed velocities (in 250x250 km spacing grid) and other relevant data in columns:<br> count - count of frames used for the decomposition<br> opass - orbital pass codes of the input frames (D..descending, A..ascending)<br> centroid_lon - longitude coordinate of the grid cell centre<br> centroid_lat - latitude coordinate of the grid cell centre<br> VEL_N_noTI - northward velocity component from data corrected for solid-earth tides and ionosphere<br> VEL_E_noTI - eastward velocity component from data corrected for solid-earth tides and ionosphere<br> VEL_N_noT - northward velocity component from data corrected for solid-earth tides<br> VEL_E_noT - eastward velocity component from data corrected for solid-earth tides<br> ITRF_N - northward velocity component from averaged ITRF2014 plate motion model<br> ITRF_E - eastward velocity component from averaged ITRF2014 plate motion model<br> *RMSE_* - RMSE of corresponding data</p>
Open code for the Pn velocity and anisotropy inversion
<p>The open code files for the Pn velocity and anisotropy inversion.</p>
RNA velocity code and data of control/Vcl cKO/public CNCC
<p>RNA velocity code and data of control/Vcl cKO/public CNCC</p>
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