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12 results for “GPS velocity”
Fatiando a Terra Data: Alps - 3D GPS velocities
<p>This is a compilation of 3D GPS velocities for the Alps. The horizontal velocities are reference to the Eurasian frame. All velocity components and even the position have error estimates, which is very useful and rare to find in a lot of datasets.</p> <p><strong>Note:</strong> This is a processed and formatted version of the source dataset below. It's mean for use in documentation and tutorials of the <a href="https://www.fatiando.org">Fatiando a Terra</a> project. Please <strong>cite the original authors</strong> when using this dataset.</p> <p><strong>Changes made:</strong> Combined the data from 3 different files, keeping the 3-component velocities in the Eurasion frame, coordinates, uncertainties, and station ID; exported to a compressed CSV file.</p> <p><strong>Source:</strong> Sánchez, Laura; Völksen, Christof; Sokolov, Alexandr; Arenz, Herbert; Seitz, Florian (2018): Present-day surface deformation of the Alpine Region inferred from geodetic techniques (data). PANGAEA, <a href="https://doi.org/10.1594/PANGAEA.886889">https://doi.org/10.1594/PANGAEA.886889</a></p> <p><strong>Source license:</strong> <a href="https://doi.org/10.1594/PANGAEA.886889">CC-BY-3.0</a></p> <p><strong>Repository:</strong> <a href="https://github.com/fatiando-data/alps-gps-velocity">https://github.com/fatiando-data/alps-gps-velocity</a></p>
Ground Vertical and east Velocities for the Western Gulf of Corinth, Greece, combining InSAR and GPS
<p><strong>Data group</strong> :<br> Ground Vertical and East Velocities for the Western Gulf of Corinth combining InSAR and GPS, for the period 2002-2010</p> <p><strong>Data identifiers</strong> : </p> <ol> <li>Best constrained 951 vertical and east PS-SBAS velocities for pixels of 200m</li> <li>Best constrained 4391 vertical and east PS-SBAS velocities for pixels of 200m</li> </ol> <p><strong>Version</strong> : 1.0</p> <p><strong>Coordinate Reference System</strong>: Geographic WGS84, EPSG:4326</p> <p><strong>Citation</strong>: Elias & Briole, 2018, Ground deformations in the Corinth rift, Greece, investigated through the means of SAR multi-temporal interferometry<br> </p>
Temporal Seismic Velocity Changes Associated with the Mw 6.1, May 2008 Ölfus Doublet, South Iceland: a Joint Interpretation from dv/v and GPS. Cubuk-Sabuncu-etal-Dataset
<p>The dataset for the article "Temporal Seismic Velocity Changes Associated with the Mw 6.1, May 2008 Ölfus Doublet, South Iceland: a Joint Interpretation from dv/v and GPS" by Cubuk-Sabuncu et al. is provided.</p> <p>The weather dataset is now included in version 2.</p>
GPS velocity field in the Pamir region in the Eurasian-fixed frame complied from our own results and previous studies
<p>The data file includes the GPS velocities with respect to the Eurasian frame in the Pamir, Tien Shan region.</p>
GPS velocities in North China from a combination of published results
<p>GPS velocities in North China from a combination of published results ( e.g., Wang & Shen, 2020,<a href="https://doi.org/10.1029/2019JB018774">https://doi.org/10.1029/2019JB018774</a> ; Hao et al., 2021, <a href="https://doi.org/10.1029/2020GL091008">https://doi.org/10.1029/2020GL091008</a>)</p>
Postseismic Corrected Walker Lane GPS velocities
<p>The interseismic motion of GPS stations in a tectonically active, diffuse, strike-slip shear zone<br> provide constraints on the overall deformation budget that can be compared to the summation<br> of geologically-estimated fault slip rates to understand regional strain accommodation. The<br> Walker Lane GPS velocities in this dataset represent a subset of GPS stations included in the<br> Nevada Geodetic Laboratory MIDAS velocity solution (Blewitt et al., 2016, 2018; accessible at<br> <a href="http://geodesy.unr.edu/velocities/midas.NA12.txt,">http://geodesy.unr.edu/velocities/midas.NA12.txt,</a> last accessed 11/19/2020) . This dataset<br> includes velocities for all GPS stations located between 34° N – 43° N latitude and 114° W –<br> 123° W longitude with time series longer than 2.5 years from the semi-continuous MAGNET<br> network operated by the Nevada Geodetic Laboratory (Blewitt et al., 2009) and neighboring<br> continuous GPS stations. The MIDAS velocities are calculated using daily position data collected<br> through August 2019 presented in the NA12 reference frame (Blewitt et al., 2013) , and<br> corrected for the postseismic effects of historic ruptures in and surrounding the Walker Lane.<br> The MIDAS algorithm is a median trend estimator that mitigates both seasonality and step<br> discontinuities in the times series (Blewitt et al., 2016). The resulting velocities are insensitive to<br> the coseismic and postseismic effects of earthquakes that occurred after the midpoint of the<br> time series (Blewitt et al., 2016) , such as the July 2019 Ridgecrest, CA M w 6.4 and 7.1 sequence,<br> but must be corrected for the post-seismic effects of earthquakes that occurred prior to the<br> middle of time series, such as the historic surface rupturing earthquakes in Central Nevada<br> Seismic Belt and the 1993 Landers M w 7.3, and 1999 Hector Mine M w 7.0 events. We apply the<br> viscoelastic postseismic relaxation correction from Bormann et al. (2013) that was developed<br> using the method of Hammond et al. (2010) and the preferred western Basin and Range lower<br> crust (10 20.5 Pa-s) and upper mantle (10 19 Pa-s) viscosity model of Hammond et al. (2009) .<br> When using this dataset, please also cite Blewitt et al (2018) as the authors of the original<br> MIDAS NA12 reference frame velocity solution is the basis for our postseismic corrected Walker<br> Lane velocities:<br> Blewitt, G., Hammond, W.C., Kreemer, C., 2018. Harnessing the GPS Data Explosion for<br> Interdisciplinary Science. Eos. <a href="https://doi.org/10.1029/2018EO104623">https://doi.org/10.1029/2018EO104623</a>.<br> <br> References:<br> Blewitt, G., Hammond, W.C., Kreemer, C., 2018. Harnessing the GPS Data Explosion for<br> Interdisciplinary Science. Eos. <a href="https://doi.org/10.1029/2018EO104623">https://doi.org/10.1029/2018EO104623</a>.<br> Blewitt, G., Kreemer, C., Hammond, W.C., Gazeaux, J., 2016. MIDAS robust trend estimator for<br> accurate GPS station velocities without step detection. Journal of Geophysical Research,<br> Solid Earth. <a href="https://doi.org/10.1002/2015JB012552">https://doi.org/10.1002/2015JB012552</a>.<br> Blewitt, G., Kreemer, C., Hammond, W.C., Goldfarb, J.M., 2013. Terrestrial reference frame<br> NA12 for crustal deformation studies in North America. Journal of Geodynamics.<br> <a href="https://doi.org/10.1016/j.jog.2013.08.004">https://doi.org/10.1016/j.jog.2013.08.004</a>.<br> Bormann, J.M., Hammond, W.C., Kreemer, C., Blewitt, G., Jha, S., 2013. A Synoptic Model of<br> Fault Slip Rates in the Eastern California Shear Zone and Walker Lane from GPS Velocities<br> <br> for Seismic Hazard Studies. Presented at the 2013 Seismological Society of America Annual<br> Meeting, Seismological Research Letters, Salt Lake City, UT, p. 323.<br> Hammond, W.C., Kreemer, C., Blewitt, G., 2009. Geodetic constraints on contemporary<br> deformation in the northern Walker Lane: 3. Postseismic relaxation in the Central Nevada<br> Seismic Belt., in: Late Cenozoic Structure and Evolution of the Great Basin-Sierra Nevada<br> Transition, Geological Society of America Special Paper 447.<br> <a href="https://doi.org/10.1130/2009.2447(03)">https://doi.org/10.1130/2009.2447(03)</a>.<br> Hammond, W.C., Kreemer, C., Blewitt, G., Plag, H.-P., 2010a. Effect of viscoelastic postseismic<br> relaxation on estimates of interseismic crustal strain accumulation at Yucca Mountain,<br> Nevada. Geophysical Research Letters. <a href="https://doi.org/10.1029/2010GL042795">https://doi.org/10.1029/2010GL042795</a>.</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>
The GPS velocity of Kepingtagh fold-and-thrust belt
<p>Our GPS dataset for the Kepingtagh FTB started in 2008 and ended in 2019, using data from a variety of GPS instrument types. For every GPS campaign survey, we set 30s sampling rates and observed for 48-96 hours every GPS site to ensure that at least one full UTC session (and often two or more) was recorded. Our GPS observation network consists of 73 GPS stations across the entire Kepingtagh FTB (Table S1). We estimated GPS velocities for 32 campaign sites of the enhanced CMONOC project from 2008 to 2019, and 41 sites of our GPS campaigns measured in 2017, 2018, and 2019.</p>
The velocity difference derived from GPS and well data in the North China Plain and Shaanxi-Gansu region
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GPS velocity and strain rate of Pamir
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GPS velocities in SE Tibet
<p>GPS velocities in SE Tibet relative to the Eurasia in a plain text format.</p>
Ground Vertical Velocities for the Western Gulf of Corinth from InSAR and GPS
<p>Data group : Ground Vertical Velocities for the Western Gulf of Corinth from InSAR and GPS<br> Data identifier : Best constrained 951 vertical PS-SBAS velocities for pixels of 200m<br> Coordinate Reference System: Geographic WGS84, EPSG:4326</p>
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