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53 results for “Ground water”
Ground water levels for 964 monitoring wells in Wisconsin, 1929 - 2015
This dataset contains the daily groundwater level observations and other monitoring well attributes in Wisconsin. It covers 964 groundwater level monitoring wells and has 400,812 observations. The time span of this dataset is between February 2nd, 1929 and December 31st, 2015. The data sources include United States Geological Survey (USGS), Wisconsin Department of Natural Resources (WDNR), University of Wisconsin Extension, counties in Central Sands area, and North Temperate Lakes - Long-Term Ecological Research (NTL-LTER). The data compilation consists of three major steps. First, the data were retrieved from different data sources. Then the data from different sources were pooled together. No well was monitored by more than one entity so none of the wells’ records were merged. Third, two rounds of quality assurance and quality control (QAQC) were conducted. Wells in confined aquifers were not included in this dataset. The values of the USGS and Central Sands data are the depth to the water whereas LTER values are mean sea level elevations of the groundwater levels. These data could not be directly compared with each other. This data compilation was funded by the Wisconsin Groundwater Joint Solicitation.
Landsat bands (cloud free), tree cover (2000, 2010), bare-ground and surface water occurrence at 250 m based on GlobalForestWatch and USGS
<p>Landsat bands (cloud free) and tree cover (2000) based on Hansen et al. (2013), global surface water occurrence based on Pekel at al. (2016), and tree cover and bare-ground cover (2010) based the USGS land cover mapping projects (University of Maryland, Department of Geographical Sciences and USGS). All layers resampled to spatial resolution 1/480 d.d. (about 250 m) using gdalwarp with "average" resampling. Antarctica is not included. Original layers are available at 30 m resolution.</p> <p>If you discover a bug, artifact or inconsistency in the maps, or if you have a question please use some of the following channels:</p> <ul> <li>Technical issues and questions about the code: <a href="https://gitlab.com/openlandmap/global-layers/issues">https://gitlab.com/openlandmap/global-layers/issues</a> </li> <li>General questions and comments: <a href="https://disqus.com/home/forums/landgis/">https://disqus.com/home/forums/landgis/</a></li> </ul> <p>All files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File naming convention:</p> <ul> <li>lcv = theme: land cover,</li> <li>bareground = variable: occurrence of bareground,</li> <li>landsat.usgs = determination method: Landsat landcover at 30 m resolution project (https://landcover.usgs.gov/glc/),</li> <li>p = probability or fraction,</li> <li>250m = spatial resolution / block support: 250 m,</li> <li>s0..0cm = vertical reference: land surface,</li> <li>2010..2010 = time reference: year 2010,</li> <li>v1.0 = version number: 1.0,</li> </ul>
Mohonk Preserve Ground Water Springs Data, 1930 to Present
In a region strongly affected by acid precipitation, the Mohonk Preserve's Daniel Smiley Research Center, has been monitoring the monthly pH and temperature of eight ground springs (Chestnut, Rock, Mohonk, Rhododendron, Mossy Brook Bank, Mossy East Box, Mossy West Box, Rock Rift) on the Preserve dating as far back as 1930 to present day. Monitoring before January 1991 was intermittent and opportunistic but starting in 1991 sampling became more consistent. Monitoring of dissolved oxygen, nitrate concentrations, and conductivity of the springs using a YSI Sonde Professional Plus Instrument began in November 2017.
Ground water well elevation for Niwot Ridge Saddle, 2012 - 2018.
Water level of Saddle Ground Water Wells. Ground Water Well locations, depths, and design were determined by Niwot Ridge LTER lead researchers, Mark Williams and Nel Caine, to monitor groundwater chemistry and water levels. Well locations were selected based on proximity to the headwater region of the Saddle stream channel. Ground Water Wells are located along an east-west transect at the Saddle site, each pair consisting of a deep well to a depth between 6.3 and 8.8 m, and a shallow well to a depth of 1.5 m. Ground surface elevations at the Saddle wells range from about 3522 m at the eastern wells to 3532 m at the western wells. The transect is roughly 170 m from east to west, has an average slope of 0.06, and is perpendicular to the Saddle stream. Saddle pair 3 was installed very close to the channel. Saddle pairs 2 and 4 were installed on opposite sides of the channel. Saddle pair 1 was installed furthest from the channel (King, 2012). Ground water wells were installed in October 2005 by Bandimere Geothermal Drilling Systems. Wells are cased with 2-inch nominal pipe size, Schedule 40 polyvinyl chloride (PVC), flush-threaded pipe. Well screens were constructed from 0.020-inch continuous slot PVC and installed in 5-ft (1.52 m) intervals. All of the wells have 1.52 m screens at the bottom of the well. The bottoms of the wells were capped with a PVC flush-threaded point cap. The annular space around each screen and pipe was backfilled with #10-20 silica sand to act as a filter (King, 2012). The Niwot Ridge LTER monitoring of these Ground Water Wells has varied over the years since the wells were installed. Prior to 2014, all wells were sampled weekly in summer and monthly in winter for chemistry, and alternating wells were monitored for water level with pressure transducers and a weighted tape measure. From 2015 through present, Saddle Deep 3 (SD3) and Saddle Deep 4 (SD4)- those located closest to the Saddle Stream headwaters- are being monitored for water level, wat
The ground-based MUSICA dataset: Tropospheric water vapour isotopologues (H216O, H218O and HD16O) as obtained from NDACC/FTIR solar absorption spectra
<p>MUSICA (“MUlti-platform remote sensing of Isotopologues for investigating the Cycle of Atmospheric water”, http://www.imk-asf.kit.edu/english/musica.php) is a European Research Council (ERC) project. The project has developed tropospheric water vapour isotopologue retrievals (H2O and H2O-δD pairs) using ground-based FTIR spectra as well as thermal nadir spectra measured by the satellite sensor IASI. H2O-δD pairs allow studying tropospheric water transport pathways and in combination with models they can improve our understanding of important climate feedback mechanisms (see also WCRP Grand Challenges: http://www.wcrp-climate.org/grand-challenges).<br /> <br /> For MUSICA, the FTIR spectra have been analysed centrally at KIT using uniform and consistent retrieval settings, thereby guaranteeing ultimate consistency of the retrieval products generated for different FTIR stations. The FTIR products are H2O profiles for the lower, middle and upper troposphere as well as H2O-δD pairs for the lower and middle troposphere. The data have been produced for 12 FTIR stations and date back to 1996.</p> <p>The dataset has been extensively characterized and validated (theoretically and empirically). Furthermore, the spectra have been used to perform uniform retrievals of XCO<sub>2</sub>, which is then used for documenting the long-term stability of these kind of FTIR data. The data are provided in the form of two data types. The first type ("ftir.iso.h2o") is best-suited for tropospheric water vapour distribution studies that disregard the different isotopologues (comparison with radiosonde data, analyses of water vapour variability and trends, etc.). The second type ("ftir.iso.post.h2o") is needed for analysing moisture pathways by means of H<sub>2</sub>O-δD pair distribution.</p> <p>The data format is hdf4 and the files have been generated in compliance with GEOMS (Generic Earth Observation Metadata Standard). The complete MUSICA NDACC/FTIR dataset is also publicly available via the NDACC database (ftp://ftp.cpc.ncep.noaa.gov/ndacc/MUSICA).</p> <p>Details on the characteristics of the dataset are described in the paper "Tropospheric water vapour isotopoloque data (H<span class="math-tex">\(_{2}^{16}\)</span>O, H<span class="math-tex">\(_{2}^{18}\)</span>O and HD<sup>16</sup>O) as obtained from NDACC/FTIR solar absorption spectra" that has been prepared for ESSD in the context of the special issue “25th anniversary of NDACC”.</p>
Time-lapse electrical resistivity tomography and seismic reflection imaging of a shallow ground-water aquifer (0-50 m): Mississippi River levee seepage across the Duncan Point bar, Baton Rouge, Louisiana, U.S.A.
<p>The electrical resisitivity raw data files are slightly processed to remove bad data points but can be inverted using tomographic inversion code. </p> <p>The seismic data were assembled in Seismic Unix format, a shortened version of the SEG-Y format (Society of Exploration Geophysicists Exchange Format-Y https: //seg. org/Publications/SEG-Technical-Standards), that has the 3200-byte EBCDIC and 400-byte tape header removed. The data uploaded online (<a href="https://zenodo.org/records/14776025">https://zenodo.org/records/14776025</a>) is a CMP brute-stacked seismic section. </p> <p>During data collection, shotpoint location changed proceeding along a 136-degree azimuth (south-easterly direction), and spaced every 1 m.</p> <p>A total of 48, horizontal-component 28-Hz nominal geophones were placed every one meter and shotpoints were located half-way between geophones. Geophones remained fixed at their locations throughout the survey and so the CMP spacing is nominally 0.5-m but fold varies linearly from a value of 1 from either side of the survey to a central maximum of 24. The seismic source consisted of a partially buried 20-lb steel I-beam struck repeatedly on either side three times by an 8-lb sledge hammer. Data of the same striking polarity were added in-phase in the field. Data with opposing polarity at each shotpoint location were subtracted later to enhance SH-wave data and suppress converted SH-to-P waves.</p> <p>Seismic processing is minimal and consists of standard surface-wave muting, elimination of bad seismic traces, normal moveout, bandpass filtering (between 12 Hz and 50 Hz) and preliminary stacking with trace mixing every 3 CMPs. The data were stacked with a single velocity throughout that ranged from 80 m/s (Vs) at 0.2 s, to 100 m/s at 0.35 s and reached 180 m/s at 0.5 s of two-way traveltime.</p> <p> </p>
Data and code to accompany the manuscript "Ground subsidence and heave over permafrost: hourly time series reveal inter-annual, seasonal and shorter-term movement caused by freezing, thawing and water movement"
<p>Data and code to accompany the manuscript "Ground subsidence and heave over permafrost: hourly time series reveal inter-annual, seasonal and shorter-term movement caused by freezing, thawing and water movement" submitted to The Cryosphere.</p>
Stream, hyporheic, and ground water chemistry of McRae Creek in the Andrews Experimental Forest, 1989 to 1992
Measurements of nitrogen concentrations from grab samples collected from McRae Ck, and from a network of shallow wells located adjacent to the stream. All samples were analyzed for NO3 and NH4. Some samples include additional data such as DON and Total N, and sometimes temperature and dissolved oxygen concentrations were measured at the time the water samples were collected for analysis. Data were collected from September 1989 to September 1992 on an irregular basis to sample both baseflow periods and storm events across seasons of the year. Water samples were collected from the stream as grab samples; samples from shallow wells were pumped into a small flask using a vacuum pump and then transferred into a sample bottle.
Ground Water Depth Readings at BCEF/LTER Floodplain Sites, 1991-Present: Weekly
Ground water depth readings were collected at BCEF/LTER floodplain sites beginning in 1991. Wells were visited and measured weekly during the growing season.
Ground Water Depth Readings at BCEF/LTER Floodplain Sites, 1991-Present: Hourly
Campbell CR7 dataloggers were used at FP1A, FP2A, and FP4A to measure ground water and river levels (river levels only at FP4A) during the summer growing season. Each site has four wells being monitored and any river levels are in addition to these wells. A Druk Inc. sensor (model PDRC 10/D) was placed at the bottom of the 3 meter by 15 cm PVC well tubes and calibrated to output depth from forest floor to groundwater. Sensors are scanned every 5 minutes and hourly averages are output to a storage module.
Open source measurement data of the ground water physio-chemical parameters in the Peshawar District, Pakistan
<p>This excel file provides the measurement data of the physio-chemical parameters in the Peshawar district, Pakistan. The physio-chemical parameters include pH, electrical conductivity, total dissolved solids, Ca hardness, Mg hardness, Total hardness, Turbidity, Nitrate and Chloride. The data also include the latitude and longitude and location and depth to groundwater level (water table). The data was collected and sample were analyzed in June-August 2012.</p> <p>The full data collection and case studies are described in Adnan and Iqbal 2014, Adnan et al. 2018 and Adnan et al. 2019.</p>
Data Set for Anisole-water and anisole-ammonia complexes in ground and excited (S1) states: a multiconfigurational SAPT study
<p>Funding:</p> <ul> <li>National Science Center of Poland, grants no. 2019/35/B/ST4/01310 and no. 2021/43/D/ST4/02762</li> <li>European Centre of Excellence in Exascale Computing TREX - Targeting Real Chemical Accuracy at the Exascale. European Union’s Horizon 2020 - Research and Innovation program - grant agreement no. 952165.</li> <li>COST Action CA21101 ‘Confined molecular systems: from a new generation of materials to the stars’ (COSY) supported by COST (European Cooperation in Science and Technology).</li> </ul>
Stream stage and water table elevation in hyporheic and ground water from McRae Ck well network, Andrews Experimental Forest, 1989-1993
Measurements of stream stage of McRae Ck and water table heights from a network of shallow wells located adjacent to the stream. Data were collected from September 1989 to September 1992 on an irregular basis to sample both baseflow periods and storm events across seasons of the year. Stage height was read from staff plates permanently located at several location in the mainstem channel and in a small back channel; water table elevations were measured with a weighted measuring tape with a visible signal when the tape touched the water in the well.
Ground Water Level at Brownsville and Hog Island, VA 1997-2009
Water levels were measured on Phillips Creek Marsh from October 1997 through December 2009 and on Hog Island from November 2002 through August 2007. Data collection for some of the stations are included in follow-on VCRLTER datasets: "knb-lter-vcr-207- Ground Water Levels at Phillips Creek Marsh, VA 2012-present" and "knb-lter-vcr.177-Groundwater Levels on Hog Island, VA. 2007-" Water levels were recorded at 3 wells in the Phillips Creek Marsh at Brownsville Plantation near Nassawadox, VA. One was located near the creek bank, one in the mid-marsh and one in the high marsh. On Hog Island, four loggers were located at the edge of the marsh, in the adjacent shrub thicket, near a freshwater pond in the center of the island and in an adjacent thicket (running from the bay towards the ocean side of the island). Water levels were recorded in wells using WL40 level loggers. The WL40 units have a sealed data logger attached to a conductive wire that runs along a plastic pole. When inserted into a well, the logger records the amount of the wire that is submersed, based on capacitance. The advantage of this method is that it is insensitive to atmospheric pressure changes or to changes in water salinity. Data is dumped via an optical interface to a calculator.
Ground water wells in the Eastern Shore of Virginia National Wildlife Refuge, 2014-2015
Two wells were established along a transect from salt marsh into pine forest. The lower well (Location: ESVNWR_LOW, WELLID: Lower) is located just inside the forest while the upper well (Location: ESVNWR_UPP, WELLID: Upper) is further in the forest along a line where saplings are currently growing. Below that elevation few saplings survive. Note the UPPER and LOWER well locations after January 7, 2015 are at different locations than in 2014. The 2015 Lower well is at (37.124668,-75.966567) and the 2015 Upper well is at (37.1247505,-75.9663644). Each well is drilled to a depth of approximately 1.5 meters. SWS CTD-Diver sensors are hung by a line in the well and collect temperature, specific conductivity and water head (water table elevation) data once every hour. The dataset spans January 07, 2014 to January 14, 2016.
Ground Water Levels on a Parramore Pimple on the Virginia Coast Reserve 1995-1997
This data was collected between 1995 and 1997 on the water "injection" pimple on Parramore Island. Note that during the period of record no actual injections were made. This data is designed to be used for the pre-injection period of the experiment. Data was collected using a digital Leopold and Stevens portable recording station (Model 420 Level Logger with a SDT-II pressure transducer, with a total range of 3.048 meters). The data fall into two periods. From April 15, 1995 to March 14, 1996 and October 18, 1996 through May 8, 1997. During the period between these measurement periods the well was deepened to reduce the number of 0 readings. Thus, the depth data for the different times should be interpreted differently. To aid in interpretation of the data, along with the water level information, tide and precipitation data is also supplied. This data comes from other VCR/LTER datasets (VCR97053 - Tide Data for Hog Island (1991-), Redbank (1992-). 12 minute interval and VCR97018 - Hourly Meteorological Data for the Virginia Coast Reserve LTER). See those datasets for documentation on methods of measurement etc.
Circum-Antarctic data used in "Tipping point behaviour of ice-sheet grounding-zone melting due to ocean water intrusion" by Bradley and Hewitt
<p>The file 'Antarctica-data.mat' contains the following fields:</p><p>'x' [units: m] x position of grid points</p><p>'y' [units m] y position of grid points</p><p>'tf_max' [units: C] maximum thermal forcing from Adusumilli et al. 2020 (doi: https://doi.org/10.1038/s41561-020-0616-z)</p><p>'H' [units: m] ice thickness from Bedmachine V3</p><p>'B' [units: m] bed elevation from Bedmachine V3</p><p>'mask' [units: n/a] Bedmachine V3 mask</p><p>'isedge' [units: n/a] Logical array with 1 corresponding to edges of ice shelves and 0 otherwise</p><p>'isgl' [units: n/a] Logical array with 1 corresponding to grounding line points and 0 otherwise</p><p>'isfront' [units: n/a] Logical array with 1 corresponding to ice fronts and 0 otherwise</p><p>'vx' [units: m/a] Ice velocity in the x-direction from ITS_LIVE 240m mosaic</p><p>'vy' [units: m/a] Ice velocity in the y-direction from ITS_LIVE 240m mosaic</p>
Ground temperature & ground water content (20, 40, 60cm depth) in Katterjokk fen site, 2019-2020
<p>Sub-hourly ground temperature (GT) and water content (GWC) collected in a fen site in Katterjokk, northern Sweden, for 2019 and 2020. Depths are 20cm (Port 3), 40 cm (Port 2) and 60cm (Port 1).</p> <p>The data was collected with Teros 12 sensors, and is provided as raw data and calibrated (configured.xlsx file) for organic soils as described by the seller. (<a href="https://www.metergroup.com/en/meter-environment/products/teros-12/teros-12-resources">https://www.metergroup.com/en/meter-environment/products/teros-12/teros-12-resources</a><br><br><br></p>
Flowing days Derived from CubeSat Imagery and Ground Observations in Hassayampa River (HR), Arizona from 2019-2021 (Water Years)
<p>Flowing days derived from CubeSat imagery and ground observations in Hassayampa River (HR), Arizona from October 2018 to September 2021. This database supports the following paper:</p> <div> <div>Wang, Z., & Vivoni, E. R. (2022). Detecting streamflow in dryland rivers using CubeSats. <em>Geophysical Research Letters</em>, 49, e2022GL098729. <a href="https://doi.org/10.1029/2022GL098729">https://doi.org/10.1029/2022GL098729</a></div> </div> <div> <div> </div> </div> <p>This database includes three folders.</p> <ol> <li>GroundObservations: Ground observations along the HR retrieved from USGS website (https://waterdata.usgs.gov/nwis) and Flood Control District of Maricopa County using Single Sensor Data Reports tool (https://alert.fcd.maricopa.gov/showrpts_mc.html): <ol> <li><strong>Precip</strong>: Records of daily precipitation amount.</li> <li><strong>Stream</strong>: Records of daily streamflow amount.</li> </ol> </li> <li>GIS: GIS layers used in deriving flowing days. <ol> <li><strong>Subreach</strong>: Shapefiles of nine sub reaches along the HR.</li> <li><strong>Buffer segment</strong>: Buffer zones perpendicular to HR reaches at 90 m resolution. Column ID is sorted in ascending order along the HR.</li> <li><strong>Channel masks: </strong>Channel masks of HR derived from Planet data.</li> </ol> </li> <li>Results <ol> <li><strong>BufferSegment_Flowdays.xlsx:</strong> Days with flow determined using the NIR difference threshold for water years (WY) 2019 to 2021 for each 90 m buffer areas. The relative location of each buffer areas can be found in the Buffer Segment GIS layer. ‘NaN’ suggests no data.</li> </ol> </li> </ol> <div> <div> </div> </div>
An enhanced integrated water vapour dataset from more than 10,000 global ground-based GPS stations in 2020
<p>This is a 5-min Integrated Water Vapor (IWV) product from 12,552 ground-based GPS stations worldwide in 2020. It contains 1,093,591,492 IWV estimates in total. The dataset is an enhanced version of the existing operational GPS IWV dataset from Nevada Geodetic Laboratory. The enhancement is reached by using accurate meteorological information from ERA5 for the GPS IWV retrieval with a significantly higher spatiotemporal resolution. The dataset is recommended for high-accuracy applications.</p> <p> DESCRIPTION Geodetic Institute, Karlsruhe Institute of Technology, Germany<br> OUTPUT 5-min enhanced GPS Integrated Water Vapour product<br> CONTACT Peng Yuan, pyuan@gfz-potsdam.de; Geoffrey Blewitt, gblewitt@unr.edu <br> INPUT NGL: GPS ZTD; ERA5 pressure level product: pressure and Tm</p> <p> NGL: Nevada Geodetic Laboratory, University of Nevada, http://geodesy.unr.edu<br> ERA5: the fifth generation ECMWF reanalysis, https://www.ecmwf.int<br> Authors: Peng Yuan, Geoffrey Blewitt, Corné Kreemer, William C. Hammond, <br> Donald Argus, Xungang Yin, Roeland Van Malderen, Michael Mayer,<br> Weiping Jiang, Joseph Awange, Hansjoerg Kutterer</p> <p><strong>Detailed descriptions and quality evaluations of the dataset have been published in <em>Earth System Science Data </em>(see below).</strong></p> <p><strong>If you would like to use the dataset, please cite the dataset and the associated paper as follows:</strong></p> <p>[1] Yuan, P., Blewitt, G., Kreemer, C., Hammond, W. C., Argus, D., Yin, X., Van Malderen, R., Mayer, M., Jiang, W., Awange, J., and Kutterer, H.: An enhanced integrated water vapour dataset from more than 10 000 global ground-based GPS stations in 2020, <em>Earth System Science Data</em>, 15, 723–743, <a href="https://doi.org/10.5194/essd-15-723-2023">https://doi.org/10.5194/essd-15-723-2023</a>, 2023.</p> <p>[2] Yuan, Peng, Blewitt, Geoffrey, Kreemer, Corné, Hammond, William C., Argus, Donald, Yin, Xungang, Van Malderen, Roeland, Mayer, Michael, Jiang, Weiping, Awange, Joseph, & Kutterer, Hansjörg. (2022). An enhanced integrated water vapour dataset from more than 10,000 global ground-based GPS stations in 2020 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6973528</p> <p>>><br>File: NGL2020_12552_blgph.txt<br>Description: coordinates of the 12552 GPS stations worldwide<br>Format:<br> column #1: Site name<br> column #2: Latitude (degree)<br> column #3: Longitude (degree)<br> column #4: Geopotential altitude (geopotential meter)</p> <p>>><br>ZIP files: data saved according to the first letter of the station names<br>Description: enhanced GPS IWV data product at 12552 stations worldwide<br>Structure: saved as each day for each station, and then all the daily<br> files of each station were saved as respective ZIP file<br> which named as "site"_2020.trop.zip<br>Format: IGS TROP format</p>
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