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6 results for “Sounding Radar”
Dataset for: A revised and expanded deep radiostratigraphy of the Greenland Ice Sheet from airborne radar sounding surveys between 1993–2019
<p>Version 5 changes the variable names in the NetCDF file so that are more readable by xarray.</p> <p>The NetCDF v4 file (Greenland_radiostratigraphy_v2.nc) contains both the gridded depths of synthetic isochrones (i.e., at ages of interest that were not necessarily directly observed) and the age at regular normalized depths (10–80%) in the ice sheet.</p> <p>For each campaign that was traced, there is an HDF5-compliant .mat MATLAB file (Greenland_radiostratigraphy_v2_X_Y, where X is the year the campaign was flown and Y is the aircraft that was used) that contains the original traced and dated reflections for each traced segment in that campaign. If using Python instead of MATLAB, the mat73 package and its loadmat function can be used to load these files. An example Jupyter notebook is included that illustrates how to access the full contents of .mat file using Python and this package. There is also a zipped (.zip) archive for each campaign that contains GeoPackage (.gpkg) files for each traced segment of that campaign. Because of format restrictions, these GeoPackages only include the traced reflections' depths, with the ages in the metadata. </p> <p> </p>
QIceRadar Antarctic Index of Radar Depth Sounding Data
<p>Database of known Antarctic radar depth sounding data. </p> <ul> <li>qiceradar_antarctic_index.gpkg - Database with ground tracks, citation info, and URLs of available data</li> <li>qiceradar_antarctic_index.qlr - QGIS style file that organizes the transects into campaign/institution and styles them based on radargram availability.</li> </ul> <p>Download both files to the same directory, then drag qiceradar_antarctic_index.qlr into QGIS.</p> <p>(Do not rename them!)</p> <p>----------</p> <p>v0.2.0: Removed outlier points from CReSIS & UTIG surveys; imported tracks of SOAR Vostok survey</p> <p>v0.1.0: Support for BAS, CReSIS and most released UTIG data. Still missing some citations/references, waiting to hear back from data providers.</p> <p> </p> <p> </p> <p> </p> <p> </p>
Data from: Low-frequency radar sounding of ice in East Antarctica and southern Greenland
Open the record for dataset details and reuse information.
Data and derived products from airborne radar sounding survey over Devon Ice Cap, Canadian Arctic
<p>Data and derived products used in Rutishauser et al., “Radar sounding survey over Devon Ice Cap indicates the potential for a diverse hypersaline subglacial hydrological environment”, accepted for publication, The Cryosphere, <a href="https://doi.org/10.5194/tc-2021-220">https://doi.org/10.5194/tc-2021-220</a></p> <p>Corresponding author: <a href="mailto:rutishauser.anja@gmail.com">rutishauser.anja@gmail.com</a></p> <p> </p> <p><strong>Description of datasets:</strong></p> <p>------------------------------------------</p> <p><strong>2018_DIC_UTIG.IR2HI1B.kml</strong></p> <p>Geolocation of the SRH1 profile lines. Coordinates in EPSG: 4326 - WGS 84 (latitude, longitude)</p> <p>------------------------------------------</p> <p><strong>2018_DIC_UTIG.IR2HI1B.tgz</strong></p> <p>HiCARS 2 L1B echo strength profiles (radargrams) in NetCDF format. The naming of the files has the structure IR2HI1B_YYYYDOY_PST_x (e.g. IR2HI1B_2018153_DEV_JKB2t_Y87b_000.nc), where YYYY is the survey year (e.g. 2018), DOY is the survey day of the year (e.g. 153), PST is the profile name (e.g. DEV_JKB2t_Y87b), and x is the segment number if the profile was split in two (e.g. 000).</p> <p>For each profile, a PDF file showing the profile location and the radargram is included.</p> <p>------------------------------------------</p> <p><strong>2018_DIC_UTIG.Level2.tgz </strong></p> <p>Level 2 datasets for each profile, organized in the following folders:</p> <ul> <li><strong>2018_DIC_UTIG.ILUTP2:</strong> Laser altimeter geolocated surface elevation</li> <li><strong>2018_DIC_UTIG.IR2HI2:</strong> HiCARS 2 unfocused (pik1) geolocated ice thickness, ice surface elevation, bed elevation, surface- and bed reflection coefficients, and aircraft roll</li> <li><strong>2018_DIC_UTIG.IRHFOC2:</strong> HiCARS 2 focused (foc1) geolocated ice thickness, ice surface elevation, bed elevation, surface- and bed reflection coefficients, and aircraft roll</li> <li><strong>2018_DIC_UTIG.IRSPC2: </strong>HiCARS 2 derived basal interface specularity content</li> </ul> <p>------------------------------------------</p> <p><strong>Devon_basal_ice_temperature.tif: </strong>Modeled basal ice temperature [ºC] using a 1D advection diffusion model. 500 m grid cell size, coordinates in EPSG: 32617 - WGS 84 / UTM zone 17N.</p> <p>------------------------------------------</p> <p><strong>Devon_bedrockDEM.tif: </strong>Digital elevation model (DEM) of the bedrock topography beneath Devon Ice Cap [m asl.]. 500 m grid cell size, coordinates in EPSG: 32617 - WGS 84 / UTM zone 17N.</p> <p>------------------------------------------</p> <p><strong>Devon_gridded_RMSD_bedrock.tif</strong>: Root mean square deviation (RMDS) of the bedrock topography [m]. The RMSD was computed along each profile line, then interpolated on a 500x500m grid using the QGIS GDAL moving average grid interpolation. 500 m grid cell size, coordinates in EPSG: 32617 - WGS 84 / UTM zone 17N.</p> <p>------------------------------------------</p> <p><strong>Devon_gridded_specularity.tif</strong>: Specularity content from along the profile lines interpolated on a 500x500m grid using the QGIS GDAL moving average grid interpolation. 500 m grid cell size, coordinates in EPSG: 32617 - WGS 84 / UTM zone 17N.</p> <p>------------------------------------------</p> <p><strong>Devon_ice_thickness.tif</strong>: Gridded ice thickness [m] generated by subtracting the bedrock DEM from ice surface elevations derived from the ArcticDEM, Polar Geospatial Center from DigitalGlobe Inc. imagery. 500 m grid cell size, coordinates in EPSG: 32617 - WGS 84 / UTM zone 17N.</p> <p>------------------------------------------</p> <p><strong>Devon_modeled_Geology.zip</strong></p> <ul> <li><strong>Devon_modeled_subglacial_geology.tif</strong>: Map of the projected geological units beneath Devon Ice Cap. The assigned numbers correspond to the following geological units: 1: pPe, 2: Cm-cf, 3: Oe, 4: Ocb, 5: Oct. Details on the geological units can be found in (Harrison et al., 2016; Mayr, 1980; Thorsteinsson & Mayr, 1987). 500 m grid cell size, coordinates in EPSG: 32617 - WGS 84 / UTM zone 17N.</li> <li><strong>{pPe, Oe, Oct, Ocb,Cm_rb}_Model.stl</strong>: 3D geometry of the modeled geological units beneath Devon Ice Cap, originally published in (Rutishauser et al., 2018). Coordinates in EPSG: 32617 - WGS 84 / UTM zone 17N.</li> <li><strong>Devon_load_geology_stl_files.py</strong><em>: </em>Python script to load and plot the 3D geology layers in the .stl files.</li> </ul> <p>------------------------------------------</p> <p><strong>Devon_subgl_hydraulic_head.tif</strong>: Subglacial hydraulic head [m] beneath Devon Ice Cap. 500 m grid cell size, coordinates in EPSG: 32617 - WGS 84 / UTM zone 17N.</p> <p>------------------------------------------</p> <p><strong>Devon_subgl_hydraulic_slope.tif</strong></p> <p>Slope [º] of the subglacial hydraulic head beneath Devon Ice Cap. 500 m grid cell size, coordinates in EPSG: 32617 - WGS 84 / UTM zone 17N.</p> <p>------------------------------------------</p> <p><strong>Devon_subgl_lakes_brine_network.zip</strong></p> <ul> <li><strong>Devon_subgl_lake_outline.shp</strong>: Shoreline of the subglacial lakes beneath Devon Ice Cap (identified in this study). Coordinates in EPSG: 32617 - WGS 84 / UTM zone 17N.</li> <li><strong>Devon_brine_network_outline.shp</strong>: Outlines of the mapped subglacial brine network beneath Devon Ice Cap. Coordinates in EPSG: 32617 - WGS 84 / UTM zone 17N.</li> </ul> <p>------------------------------------------</p> <p><strong>Devon_subgl_water_routes.zip</strong></p> <ul> <li><strong>Devon_modeled_subgl_water_routes_{1, 2, 3}std.tif</strong>: Modeled subglacial water routes derived via application of a flow accumulation algorithm to the hydraulic head. The model is run 1000 times with normally distributed random errors of 1, 2 and 3 standard deviations of the hydraulic head uncertainty added to the hydraulic head (represented in the file name). Pixel values represent the model counts for which the cell has a minimum of 10 upstream cells draining into it. 500 m grid cell size, coordinates in EPSG: 32617 - WGS 84 / UTM zone 17N.</li> <li><strong>Devon_extracted_subgl_water_routes.shp</strong>: Modeled subglacial water routes derived via the application of a flow accumulation algorithm to the hydraulic head. Coordinates in EPSG: 32617 - WGS 84 / UTM zone 17N.</li> </ul> <p>------------------------------------------</p> <p><strong>SpecularityJustification.zip</strong></p> <p>Jupyter notebook and example datafile to show the justification for the chosen specularity threshold of 0.4 for declaring a detection of possible subglacial water.</p> <p>------------------------------------------</p> <p> </p> <p><strong>Acknowledgments</strong></p> <p>The aerogeophysical survey and subsequent standard data processing were funded by the Weston Family Foundation. We also thank the G. Unger Vetlesen Foundation and the UTIG Postdoctoral Fellowship program who provided further funding for data analysis. M.L.S. was partially supported by NASA NNX16AJ64G and NASA 80NSSC20K1134. We thank PCSP and Kenn Borek Air Ltd. for logistical support, and the Nunavut Research Institute and the peoples of Grise Fjord and Resolute Bay for permission to conduct airborne surveys over Devon Ice Cap. Finally, we thank Scott Kempf for assistance with data processing, and Sam Christian and Miguel Liu-Schiaffini for help with radar reflection picking.</p> <p><strong>References</strong></p> <p>Harrison, J. C., Lynds, T., Ford, A., & Rainbird, R. H. (2016). Geology, simplified tectonic assemblage map of the Canadian Arctic Islands, Northwest Territories - Nunavut. <em>Geological Survey of Canada, Canadian Geoscience</em>, <em>Map 80</em>. https://doi.org/10.4095/297416</p> <p>Mayr, U. (1980). Stratigraphy and correlation of lower Paleozoic formations, subsurface of Bathurst Island and adjacent smaller islands, Canadian Arctic Archipelago. <em>Geological Survey of Canada, Bulletin</em>, <em>306</em>. https://doi.org/10.4095/102157</p> <p>Rutishauser, A., Blankenship, D. D., Sharp, M., Skidmore, M. L., Greenbaum, J. S., Grima, C., Schroeder, D. M., Dowdeswell, J. A., & Young, D. A. (2018). Discovery of a hypersaline subglacial lake complex beneath Devon Ice Cap, Canadian Arctic. <em>Science Advances</em>, <em>4</em>(4), eaar4353. https://doi.org/10.1126/sciadv.aar4353</p> <p>Thorsteinsson, R., & Mayr, U. (1987). <em>The sedimentary rocks of Devon island, canadian arctic archipelago</em>. https://doi.org/10.4095/122451</p>
Analysis of Orbital Sounding in Context with In Situ Ground Penetrating Radar at Jezero Crater, Mars
<p>This release includes all the SHARAD data used to produce analysis and figures in the paper, "Analysis of Orbital Sounding in Context with In Situ Ground Penetrating Radar at Jezero Crater, Mars", by M.C. Raguso et al., submitted to Geophysical Research Letters in February 2024.</p> <p>The manuscript is currently under review. The dataset will be released following the completion of the review process.</p> <p>This release also includes slides (pdf format) presented during the RIMFAX Science Team meeting (09/6/22-09/09/22).</p> <p>Preferred citation (DataCite format): </p> <p>Raguso, M.C., & Nunes, D.C. (2024). Analysis of Orbital Sounding in Context with In Situ Ground Penetrating Radar at Jezero Crater, Mars. [Dataset]. Zenodo. <a href="https://doi.org/10.5281/zenodo.10681430">https://doi.org/10.5281/zenodo.10681430</a></p> <p><em>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file.</em></p>
Datasets for "Radar sounding of subsurface structure in eastern Coprates and Capri Chasmata, Mars"
<p>Datasets for "Radar sounding of subsurface structure in eastern Coprates and Capri Chasmata, Mars" Noguchi et al., 2020, GRL</p> <ol> <li>Coprates_Capri_reflectance_final.csv: SHARAD observation list which was used in this study</li> <li>Coprates_Capri_SHARAD_list.csv: Locations of identified SHARAD reflectors</li> <li>HI_038733_1670_042478_1670-ALIGN-DEM.tif: HiRISE DTM used in this study</li> <li>HI_038733_1670_042478_1670-ALIGN-DRG.tif: HiRISE orthoimage used in this study. </li> </ol>
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