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61 results for “ADCP”
ADCP data of ice-covered and open-channel (macro-turbulent) flow, Pulmanki River, 2016-2020
<p>README of ADCP_data_Lotsari_et_al_Water_opened.zip</p> <p><br> The ADCP data was the basis of the following paper:<br> Macro-turbulent flow and its impacts on sediment transport potential of a subarctic river during ice-covered and open-channel conditions <br> Eliisa Lotsari (1, 2), Michael Dietze (3), Maria Kämäri (4), Petteri Alho (2,5), Elina Kasvi (6,2)</p> <p>1 Department of Geographical and Historical Studies, University of Eastern Finland, Yliopistokatu 2, P.O. Box 111, FI-80101, Joensuu, Finland. eliisa.lotsari@uef.fi<br> 2 Department of Geography and Geology, University of Turku, FI-20014 Turun yliopisto, Turku, Finland.<br> 3 Section 4.6 Geomorphology, German Research Centre for Geosciences GFZ Potsdam, D-14473 Potsdam, Germany. mdietze@gfz-potsdam.de<br> 4 Finnish Environment Institute, Latokartanonkaari 11, FI-00790 Helsinki, Finland. maria.kamari@ymparisto.fi<br> 5 Finnish Geospatial Research Institute, National Land Survey of Finland, Geodeetinrinne 2, FI-02430, Masala, Finland. mipeal@utu.fi<br> 6 Turku University of Applied Sciences, Joukahaisenkatu 3, FI-20520, Turku, Finland. elina.kasvi@turkuamk.fi</p> <p>(Note: During the time of data gathering, Maria Kämäri worked at the University of Eastern Finland, and Elina Kasvi at the University of Turku)</p> <p>The data set has been measured with Sontek M9 or S5 sensors, depending on the time step (Table 1).</p> <p>Table 1. The measurement times, their acronyms (applied in the above mentioned publication)<br> and applied sensors. In the acronyms of the measurement times W=winter low flow period, S=spring<br> (snow-melt flood period), A=autumn low flow period. These information are presented also<br> in the Table 1 of the above-mentioned publication.<br> Date Acronym Sensor<br> 17.2.2016 W2016 M9<br> 25.5.2016 S2016 S5 <br> 10.9.2016 A2016 M9<br> 16.2.2017 W2017 M9 <br> 31.5.2017 S2017 M9 <br> 9.9.2017 A2017 M9 <br> 9.2.2018 W2018 M9 <br> 23.5.2018 S2018 S5 <br> 8.9.2018 A2018 S5 <br> 8.2.2019 W2019 M9 <br> 21.5.2019 S2019 M9 <br> 6.2.2020 W2020 M9 </p> <p>RiverSurveyor Live software, and its most recent version, was used each time.<br> The measurements have been done at Pulmanki River (69°55'59.09" N; 28° 2'34.32" E), Northern Finland, during 2016 - 2020. <br> The data is in directories of corresponding measurement times. The measurement<br> locations cs1, cs2, cs3, cs4, csA, csB and csC can be found in the paper (Figs. 1 and 2). <br> The data is in raw Matlab file format, as exported from the RiverSurveyor Live software.<br> The coordinate system is ENU.</p> <p>When used, the referencing to the paper and DOI ( 10.5281/zenodo.3855035 ) are required.</p>
ADCP Svanesund 2015
<p>A bottom mounted, upward-looking, RDI Workhose 600 kHz broadband ADCP was deployed on the sill in Svanesund at position (N58.134 E11.833 ) in the periods 2015-01-26 to 2015-03-13 (at 18 m depth) and 2015-03-13 to 2015-05-28 (at 16.3 m depth). The ADCP was set up with 1 m vertical bins, 10 min ensembles, and 50 pings per ensemble.</p> <p><strong>Files:</strong></p> <p>The <strong>SVANE001.000</strong> and <strong>SVANE002.000</strong> files contains raw data from the instrument for the two periods.</p> <p>The <strong>Svanesund1501.mat</strong> and <strong>Svanesund1503.mat</strong> files are matlab format exports of the raw data using the WinADCP software.</p> <p>The <strong>Svanesund1501_proc.mat</strong> and <strong>Svanesund1503.mat</strong> files are matlab format files containing processed data, where the main processing is to estimate the depth of each bin, and remove data before and after the deployment and above the levels influenced by the surface. The variable in these files are:</p> <p>t: Time in decimal days ince 0000 00:00</p> <p>z: Vertical coordinate of each bin in m relative to mean surface postion</p> <p>u: East velocity (m/s)</p> <p>v: North velocity (m/s)</p> <p>w: Vertical velocity (m/s)</p> <p>up: Velocity projected to 20deg, main channel direction (m/s)</p> <p>Err: Error velocity (m/s)</p> <p>ea: Echo amplitude</p> <p><strong>Funding:</strong></p> <p>The observations were made possible with funding from the Fyrbodal association of local authorities.</p> <p> </p>
ADCP and CTD data Rhine-Meuse Delta
<p>Dataset containing .mat scripts containing pre-processed ADCP and CTD data, retrieved in the Rhine-Meuse delta on 12 Aug 2014 and 14 Sep 2015. Described in detail in the upcoming publication Jongbloed and Hoitink 2015 (submitted to the Journal of Physical Oceanography).</p>
ADCP and GETM simulation data in the Baltic Proper
<p>The dataset is complementary material of the Liblik et al. 2022 study https://doi.org/10.5194/os-2021-123.</p> <p>The dataset includes: 1) 6 months of ADCP current data in MatLab mat format collected at the eastern coast of Baltic Proper. 2) GETM model data (zipped netcdf files) at the zonal transect (see Fig. 1 https://doi.org/10.5194/os-2021-123).</p>
ECOWIND-ACCELERATE Rhyl Flats ADCP 2022
<h1>Dataset Description</h1> <p>ADCP velocity and pressure data collected by ECOWIND-ACCELERATE project from the Rhyl Flats offshore wind farm in 2022. Instrument was deployed between 08-Sep-2022 and 03-Oct-2022.</p> <p>Instrument was a Nortek Signature1000 5-beam ADCP bottom mounted on a fixed frame.</p> <p>The MATLAB file contains a structured array named 'data', containing the following fields:</p> <table> <tbody> <tr> <td><strong>NAME</strong></td> <td><strong>DIMENSIONS</strong></td> <td><strong>DESCRIPTION</strong></td> </tr> <tr> <td>vel</td> <td>[5x43x2048x601]</td> <td>raw beam velocity [beam,bin,sample,burst] (m/s)</td> </tr> <tr> <td>Time</td> <td>[2048x601]</td> <td>time stamp per sample [sample,burst]</td> </tr> <tr> <td>TimeAv</td> <td>[1x601]</td> <td>time mid-point of each burst [burst]</td> </tr> <tr> <td>SeaLevel</td> <td>[2048,601]</td> <td>pressure-derived water depth [sample,burst] (m)</td> </tr> <tr> <td>SeaLevelAv</td> <td>[1x601]</td> <td>mean pressure-derived water depth of each burst [burst] (m)</td> </tr> <tr> <td>Range</td> <td>[1x44]</td> <td>bin range (m)</td> </tr> <tr> <td>cfg</td> <td>[1x1]</td> <td>ADCP bin size, beam angle, mounting elevation</td> </tr> </tbody> </table>
Glider, turbulence and ADCP datasets used in the manuscript "Storm-induced turbulence alters shelf sea vertical fluxes"
<p>Measurements of shear microstructure, temperature, conductivity, and fluorescence of chlorophyll-a of a stratified water column were taken in the German Bight of the North Sea in Summer 2014. During the measurement period, a storm entered the study region and mixed the water column thoroughly, modifying water column dynamics. The measured quantities were used to estimate turbulence, stratification, mixing, water column stability and changes in the signal of chlorophyll-a.</p>
VMADCP and ADCP datasets
<p>Publicly available here are the in-situ datasets used in the work entitled "Where and How the East Madagascar Current Retroflects?"</p> <p>Description of data:</p> <p>Name: Data_used_in_EMC_retroflection_paper.zip</p> <p>(1) VMADCP datasets - Figure 2</p> <p>(2) Long-term in situ observation from ADCP - Figure 6</p>
ADCP data collected in the Southern California Bight by SWIFT drifters as part of the ONR "Langmuir Circulation Departmental Research Initiative (LC-DRI)"
<p>This is the public archive for ADCP data collected with SWIFT drifters during the 'Langmuir Circulation' Office of Naval Research Departmental Research Initiative (LC-DRI) field experiment, conducted between March 19th and April 6th, 2017 in the Southern California Bight 40 km west of Catalina Island. SWIFTs were deployed and recovered from the R/V R.G. Sproul during cruise SP1709 (Cruise DOI: 10.7284/907464). SWIFTs were deployed during storms with wind speeds up to 20 m/s and sampled strong diurnal warm layers during weaker wind periods.</p>
Towed ADCP DATA off Cape Canaveral from Oct 2013 to Jun 2016
<p>ADCP data collected underway with Teledyne ADCP instrumentation over 12-hr tidal cycles during experiments shown in 'experiments.jpg' that appear with all ADCP files. ADCP data files are in ASCII format (with extension 000 or 001 or 002 or...) with the format description given in the PDF file that appears with te ADCP data. The filenames contain the month, day and year (e.g., MMDDYY000t.000) in which they were collected. Location of each profile is within its corresponding header, as described in the PDF file.</p>
Data from a tidal cycle continuous survey using ADCP and CTD in Sand Shoal Inlet, Virginia
<p><strong>Title: </strong>Data from a tidal cycle continuous survey using ADCP and CTD in Sand Shoal Inlet, Virginia.</p> <p><strong>Author/Data Collector: </strong>Chunyan Li</p> <p><strong>Point of Contact, PI, Originator: </strong>Chunyan Li (cli@lsu.edu)</p> <p>These are data files from a 12.5-hour continuous survey done in Sand Shoal Inlet in Eastern Shore of Virginia on the Delmarva Peninsula on May 12, 1999.</p> <p>The ADCP data files are: SS01002T.000, SS01003T.000, and SS01004T.000.</p> <p>The CTD data files are named as SNDSHL**.CNV (a total of 33 files).</p> <p> </p> <p>ADCP data are measured from the RDI’s old program Transect.</p> <p><em>Ship Track:</em> Repeated samplings of ADCP were made along four transects connected by four points:</p> <p> [1] 37 17.918 N, 75 48.596 W</p> <p> [2] 37 18.344 N, 75 48.248 W</p> <p> [3] 37 17.884 N, 75 47.981 W</p> <p> [4] 37 18.054 N, 75 47.664 W</p> <p><em>CTD stations:</em></p> <p><em> {1} 37 18.174 N, 75 48.378 W</em></p> <p><em> {2} 37 17.978 N, 75 47.787 W</em></p> <p><em> Cast # Station #<br> 00 1<br> 01 2<br> 02 1<br> 03 2<br> 04 1<br> 05 2<br> 06 1<br> 07 n/a extra cast at ADCP [2]<br> 08 2<br> 09 1<br> 10 2<br> 11 n/a extra cast north of a front<br> 12 1<br> 13 2<br> 14 1<br> 15 2<br> 16 1<br> 17 2<br> 18 1<br> 19 2<br> 20 1<br> 21 2<br> 22 1<br> 23 2<br> 24 1<br> 25 2<br> 26 1<br> 27 2<br> 28 1<br> 29 2<br> 30 1<br> 31 2<br> 32 1<br> 33 2</em><br> </p> <p><strong>ACKNOWLEDGEMENTS</strong></p> <p>Thanks to Arnoldo Valle-Levinson and Larry Atkinson for the research support. The field trip participants included Cristobal Creyes, Bob Bray, RC Kidd, Rosario Sanay, Kris Holderied, Andres Sepulveda as well as a person by the first name Wildo. The data were used in Li (2002).</p> <p><strong>References</strong></p> <p>Li, C. (2002). Axial convergence fronts in a barotropic tidal inlet - Sand Shoal Inlet, VA, <em>Continental Shelf Research</em>, 22: 2633-2653. <a href="https://doi.org/10.1016/S0278-4343(02)00118-8">https://doi.org/10.1016/S0278-4343(02)00118-8</a>.</p>
Current velocity data from a quasi-continuous survey using ADCP in Satilla River Estuary, Georgia.
<p><strong>Title: </strong>Current velocity data from a quasi-continuous survey using ADCP in Satilla River Estuary, Georgia.</p> <p><strong>Author/Data Collector: </strong>Chunyan Li</p> <p><strong>Point of Contact, PI, Originator: </strong>Chunyan Li (cli@lsu.edu)</p> <p><strong>Description:</strong></p> <p>These are velocity profile data from vessel-towed ADCP obtained in the Satilla River Estuary during a survey conducted on 17–18 November 2004. The instrument was an RDI 600 KHz Workhorse ADCP. The survey was done mostly during daylight time along a 90-degree bend in the middle of the Satilla River Estuary. The observations covered nearly two semidiurnal tidal cycles with 15 repetitions and 33 hours in measurement time. The route is about 11 km in length and covers both the West and East sides of the bend of the channel. Note that tide in this area is essentially semidiurnal which makes 12-h observations sufficient to resolve the main tidal constituents.</p> <p>The ADCP was mounted on one side of the boat approximately 0.4 m below the surface. The vertical bins were 0.5 m. The surveys were conducted at an average cruise speed of about 2.5–3 m/s except at the turns when the vessel had to slow down and during CTD casts when the vessel had to stop for a few minutes. A Seabird Electronic SBE 19 plus CTD was used to measure the vertical profiles of water temperature, salinity, fluorescence, light attenuation, and dissolved oxygen at two to three locations during each survey. Note that only ADCP data are included in this dataset.</p> <p>The data are averaged at about 8-second intervals, excluding bad data. The data presented here are in ASCII with the generic format provided by the RDI’s software WinRiver II output. There are a total of seven data files. There are:</p> <p> </p> <p>ADCP_Nov17_2004_Satilla_River_000t.000</p> <p>ADCP_Nov17_2004a_Satilla_River_000t.000</p> <p>ADCP_Nov17_2004a_Satilla_River_001t.000</p> <p>ADCP_Nov17_2004a_Satilla_River_002t.000</p> <p>ADCP_Nov18_2004a_Satilla_River_000t.000</p> <p>ADCP_Nov18_2004a_Satilla_River_001t.000</p> <p>ADCP_Nov18_2004a_Satilla_River_002t.000</p> <p>Here is an example of the data –</p> <p> 50 25 42 124 10 20 1</p> <p>4 11 17 15 3 34 86 19 10 3.220 -0.410 331.714 17.460</p> <p>-50.84 11.65 -0.88 0.42 0.00 4.00 0.00 -21.08 7.38 7.38 7.52 7.31</p> <p>3.57 6.85 0.78 -3.48 3.57</p> <p>30.9708933 -81.5066250 -47.77 0.00 3.6</p> <p>-4.8 -1.0 -0.5 -12.5 10.0 -12.5 10.0 1.28 6.28</p> <p>30 cm BT dB 0.44 0.082</p> <p> 1.28 50.99 309.66 -39.3 32.5 -3.2 -3.9 99.7 101.2 102.8 101.7 100 -0.03</p> <p> 1.78 53.58 304.67 -44.1 30.5 -0.2 4.0 102.6 103.8 105.5 104.4 100 -0.04</p> <p> 2.28 43.23 318.41 -28.7 32.3 -1.7 -5.8 102.3 103.7 105.2 104.6 100 -0.02</p> <p> 2.78 53.59 320.14 -34.3 41.1 -2.3 8.6 101.3 103.0 105.1 104.3 90 -0.08</p> <p> 3.28 46.16 304.23 -38.2 26.0 -0.6 2.2 100.1 103.6 104.0 102.8 100 -0.06</p> <p> 3.78 55.55 309.19 -43.1 35.1 -1.2 -2.4 100.1 101.3 102.7 102.0 100 -0.09</p> <p> 4.28 47.84 308.45 -37.5 29.7 1.8 2.5 99.6 100.8 101.7 100.9 100 -0.02</p> <p> 4.78 47.27 311.81 -35.2 31.5 -2.4 5.7 98.5 101.7 102.0 100.8 100 -0.02</p> <p> 5.28 40.47 308.48 -31.7 25.2 0.5 0.1 98.1 101.0 101.4 100.8 100 -0.05</p> <p> 5.78 43.89 314.42 -31.3 30.7 -1.8 5.7 97.8 100.9 101.2 101.0 100 -0.11</p> <p> 6.28 44.51 317.27 -30.2 32.7 0.8 2.2 97.3 101.4 100.9 100.6 100 -0.00</p> <p> 6.78 38.19 315.72 -26.7 27.3 -3.2 35.8 107.0 104.9 101.9 112.0 50 2147483647</p> <p> 7.28 -32768 -32768 -32768 -32768 -32768 -32768 255 255 121.6 255 0 2147483647</p> <p> 7.78 -32768 -32768 -32768 -32768 -32768 -32768 255 255 255 255 0 2147483647</p> <p> 8.28 -32768 -32768 -32768 -32768 -32768 -32768 255 255 255 255 0 2147483647</p> <p> 8.78 -32768 -32768 -32768 -32768 -32768 -32768 255 255 255 255 0 2147483647</p> <p> 9.28 -32768 -32768 -32768 -32768 -32768 -32768 255 255 255 255 0 2147483647</p> <p> 9.78 -32768 -32768 -32768 -32768 -32768 -32768 255 255 255 255 0 2147483647</p> <p> 10.28 -32768 -32768 -32768 -32768 -32768 -32768 255 255 255 255 0 2147483647</p> <p> 10.78 -32768 -32768 -32768 -32768 -32768 -32768 255 255 255 255 0 2147483647</p> <p> 11.28 -32768 -32768 -32768 -32768 -32768 -32768 255 255 255 255 0 2147483647</p> <p> 11.78 -32768 -32768 -32768 -32768 -32768 -32768 255 255 255 255 0 2147483647</p> <p> 12.28 -32768 -32768 -32768 -32768 -32768 -32768 255 255 255 255 0 2147483647</p> <p> 12.78 -32768 -32768 -32768 -32768 -32768 -32768 255 255 255 255 0 2147483647</p> <p> 13.28 -32768 -32768 -32768 -32768 -32768 -32768 255 255 255 255 0 2147483647</p> <p> 13.78 -32768 -32768 -32768 -32768 -32768 -32768 255 255 255 255 0 2147483647</p> <p> 14.28 -32768 -32768 -32768 -32768 -32768 -32768 255 255 255 255 0 2147483647</p> <p> 14.78 -32768 -32768 -32768 -32768 -32768 -32768 255 255 255 255 0 2147483647</p> <p> 15.28 -32768 -32768 -32768 -32768 -32768 -32768 255 255 255 255 0 2147483647</p> <p> 15.78 -32768 -32768 -32768 -32768 -32768 -32768 255 255 255 255 0 2147483647</p> <p>The data were used in Li et al. (2008).</p> <p><strong>References</strong></p> <p>Li, C., C. Chen, D. Guadagnoli, and I. Y. Georgiou (2008). Geometry-induced residual eddies in estuaries with curved channels: Observations and modeling studies, <em>Journal of Geophysical Research</em>, Vol. 113, C01005, doi:10.1029/2006JC004031.</p>
Current velocity data from a continuous survey using a towed ADCP in Wilmington River Estuary, Georgia, USA
<p><strong>Title: </strong>Current velocity data from a continuous survey using a towed ADCP in Wilmington River Estuary, Georgia, USA</p> <p><strong>Author/Data Collector: </strong>Chunyan Li</p> <p><strong>Point of Contact, PI, Originator: </strong>Chunyan Li (cli@lsu.edu)</p> <p><strong>Description:</strong></p> <p>These are velocity profile data from vessel towed ADCP obtained in the Wilmington River Estuary during a survey conducted on Sep. 29, 2004, for ~ 11.5 hours. The instrument was an RDI 600 KHz Workhorse ADCP.</p> <p>The ADCP was mounted on a sled towed by the boat. The vertical bins were 0.5 m. The surveys were conducted at an average cruise speed of about 2.5–3 m/s except at the turns when the vessel had to slow down and during CTD casts when the vessel had to stop for a few minutes. A Seabird Electronic SBE 19 plus CTD was used to measure the vertical profiles of water temperature, salinity, fluorescence, light attenuation, and dissolved oxygen during the survey. Note that only ADCP data are included in this dataset.</p> <p>The data are averaged at about 30-second intervals, excluding bad data. The data presented here are in ASCII with the generic format provided by the RDI’s software WinRiver II output. There are a total of two data files. There are:</p> <p>ADCP_Sep29_2004_WM_000_ASC.TXT</p> <p>ADCP_Sep29_2004_WM_001_ASC.TXT</p> <p>Here is an example of the data –</p> <p> 50 50 42 50 1 20 1</p> <p>4 9 29 11 32 26 57 468 60 2.361 -0.824 118.753 24.276</p> <p>49.04 93.15 -0.17 -0.46 0.00 6.00 0.00 3.08 6.63 6.64 6.68 6.59</p> <p>30.53 28.91 26.93 14.22 30.45</p> <p>32.00327167 -81.01664167 31.50 92.41 30.4</p> <p>-22.0 -7.2 -3.2 -11.2 10.0 -10.8 10.0 1.53 5.53</p> <p>50 cm BT dB 0.43 0.073</p> <p> 1.53 52.35 193.13 -11.9 -51.0 -0.3 3.5 92.1 94.8 94.6 95.6 100 -2.02</p> <p> 2.03 49.89 189.47 -8.2 -49.2 -0.1 -2.1 97.7 99.9 100.4 100.4 100 -2.28</p> <p> 2.53 52.68 187.22 -6.6 -52.3 0.7 4.0 99.0 101.3 101.7 101.2 98 -2.84</p> <p> 3.03 48.92 190.92 -9.3 -48.0 -0.2 5.1 99.2 101.3 101.9 101.6 100 -2.21</p> <p> 3.53 51.77 185.37 -4.8 -51.5 0.3 5.7 98.6 101.4 102.0 101.2 100 -2.99</p> <p> 4.03 48.03 186.14 -5.1 -47.8 1.0 1.2 98.5 101.1 101.9 101.0 100 -2.64</p> <p> 4.53 50.69 190.02 -8.8 -49.9 0.5 3.6 98.5 101.2 101.9 101.2 100 -2.32</p> <p> 5.03 43.70 186.57 -5.0 -43.4 0.7 4.4 98.3 101.2 101.9 101.2 100 -2.34</p> <p> 5.53 41.22 186.13 -4.4 -41.0 1.5 -0.3 98.5 101.6 102.0 101.4 83 -2.35</p> <p> 6.03 -32768 -32768 -32768 -32768 -32768 -32768 255 255 255 255 0 2147483647</p> <p>The ADCP data were used in Li et al. (2008).</p> <p><strong>Acknowledgements</strong></p> <p>I would like to thank Captain Harry Carter who assisted me by driving the boat for the whole day. He also assisted me with CTD casts, deployment, and retrieval of other CTDs. It was a great day working out with him.</p> <p><strong>References</strong></p> <p>Li, C., C. Chen, D. Guadagnoli, and I. Y. Georgiou (2008). Geometry-induced residual eddies in estuaries with curved channels: Observations and modeling studies, <em>Journal of Geophysical Research</em>, Vol. 113, C01005, doi:10.1029/2006JC004031.</p> <p> </p>
alvitello/ADCP_Data_SanFelice_Venice: ADCP Data San Felice Venice 2016
<p>ADCP data from Finotello et al., "Three-dimensional flow structures and morphodynamic evolution of microtidal meandering channels" (submitted to Water Resource Research)</p>
ADCP Skåpesund 2016
<p>A bottom mounted, upward-looking, RDI Workhose 1200 kHz broadband ADCP was deployed in Stigfjorden near Skåpesund at depth 9 m, position (N58.101 E11.670) in the period 2016-08-17 to 2016-10-04. The ADCP was set up with 0.5 m vertical bins, 5 min ensembles, and 50 pings per ensemble.</p> <p><strong>Files:</strong></p> <p>The <strong>SkåpesundADCP.mat</strong> file is a matlab format export of the raw data using the WinADCP software.</p> <p>The <strong>SkåpesundADCP_proc.mat</strong> file is a matlab format file containing processed data, where the main processing is to estimate the depth of each bin, and remove data before and after the deployment and above the levels influenced by the surface. The variable in this files are:</p> <p>t: Time in decimal days ince 0000 00:00</p> <p>z: Vertical coordinate of each bin in m relative to mean surface postion</p> <p>u: East velocity (m/s)</p> <p>v: North velocity (m/s)</p> <p>w: Vertical velocity (m/s)</p> <p><strong>Funding:</strong></p> <p>The work was partly supported by the European Union Horizon 2020 project JERICO-NEXT (Joint European Research Infrastructure network for Coastal Observatory – Novel European eXpertise for coastal observaTories) grant agreement no. 654410.</p>
ADCP Kråkefjord 2016
<p>A bottom mounted, upward-looking, RDI Workhose 600 kHz broadband ADCP was deployed in Kråkefjorden at depth 26 m, position (N58.044 E11.485) in the period 2016-08-17 to 2016-10-04. The ADCP was set up with 1 m vertical bins, 5 min ensembles, and 50 pings per ensemble.</p> <p><strong>Files:</strong></p> <p>The <strong>KråkefjordADCP.mat</strong> file is a matlab format export of the raw data using the WinADCP software.</p> <p>The <strong>KråkefjordADCP_proc.mat</strong> file is a matlab format file containing processed data, where the main processing is to estimate the depth of each bin, and remove data before and after the deployment and above the levels influenced by the surface. The variable in this files are:</p> <p>t: Time in decimal days ince 0000 00:00</p> <p>z: Vertical coordinate of each bin in m relative to mean surface postion</p> <p>u: East velocity (m/s)</p> <p>v: North velocity (m/s)</p> <p>w: Vertical velocity (m/s)</p> <p><strong>Funding:</strong></p> <p><span>The work was partly supported by the European Union Horizon 2020 project JERICO-NEXT (Joint European Research Infrastructure network for Coastal Observatory – Novel European eXpertise for coastal observaTories) grant agreement no. 654410.</span></p>
ADCP Gothenburg 2018
<p><strong>Note: </strong>This is version two of the data set. In a previous version (https://doi.org/10.5281/zenodo.5066997), the vertical beam velocities were missing.</p> <p>A bottom mounted mooring with a fixed upward-looking Nortek Signature 500 ADCP was deployed under the ship lane to Gothenburg Harbour at 32 m depth, position (57.61178 N, 11.66102 E) in the period 28 August to 25 September 2018. The ADCP was set up to measure and store single ping, along beam current velocities, using four slanted beams (25° angle) and one vertical beam (ping frequency 1 Hz, vertical cell size 1 m on all beams). The instrument was set up with 38 bins numbered from 1 to 38 with #1 closest to the instrument centered 1 m above the transducers.</p> <p>The data set contains raw data from the instrument, converted to csv format with the Nortek Deployment software.</p> <p><strong>Processing:</strong> This is raw data, so no processing has been performed.</p> <p><strong>Notes</strong>:</p> <p>- Beam #2 is not working, so those data do not make sense.</p> <p>- Data from about 10% of the depth below the surface and above should not be used.</p> <p><strong>Files:</strong> </p> <p>*#B0_#.csv: Data from the four slanted beams. Each row is one ping. Header in first row.</p> <p>*#IB0_#.csv: Data from the vertical beam. Each row is one ping. Header in first row.</p> <p><strong>Parameters:</strong></p> <p>DateTime: Date and time in format MM/DD/YYYY hh:mm:ss</p> <p>Ensemble: Ping number</p> <p>Battery: Battery voltage</p> <p>Heading: Instrument heading in deg.</p> <p>Pitch: Instrument pitch in deg.</p> <p>Roll: Instrument roll in deg.</p> <p>Pressure: Pressure in dBar</p> <p>Temperature: Temperature in deg C.</p> <p>Vel#N: Vertical beam velocity (m/s) for bin N</p> <p>VelM#N: Beam velocity (m/s) for beam M and bin N </p> <p>Amp#N: Vetical beam amplitude for bin N</p> <p>AmpM#N: Beam amplitude for beam M and bin N </p> <p>CorrM#N: Correlation for beam M and bin N </p> <p>AltimeterDistanceLE: Distance from transducer to surface (m)</p> <p> </p> <p> </p>
Processed ADCP and CTD Data for the Processes Driving Exchange at Cape Hatteras (PEACH) Program
<p>These are the hourly acoustic doppler current profiler (ADCP) and conductivity-temperature-depth (CTD files from the ten moored bottom frames and buoys deployed as part of the PEACH program. Level 2 data have been quality-controlled and gridded to an hourly time-base. A technical report describing the details of processing and moored aspects of the experiment can be found in: Haines, S., <em>et al.</em> (2022) Mooring Data Report for the Processes driving Exchange at Cape Hatteras (PEACH) Project. (doi:10.5281/zenodo.6380851). </p>
Grain size distribution of Amazon river sediment samples collected over the period 2005-2008; and ADCP water velocity profiles collected on the major tributaries of the Amazon in Bolivia and Peru, 2007-2008
<p>This dataset contains two items:</p> <p>- The grain size distribution of river sediment samples collected along the Amazon River and its tributaries during four sampling campaigns performed in June 2005 (lower Amazon, Brazil), March 2006 (lower Amazon, Brazil), May 2007 (Upper Madeira, Bolivia), and April 2008 (Upper Solimões-Amazonas, Peru). [spreadsheet "Grain_size_distribution_dataset_Amazon_2005-2008_Bouchez_data.xlsx"].</p> <p>- River water velocity profiles derived from Acoustic Doppler Current Profiler (ADCP) measurements performed on the major tributaries of the Amazon in May 2007 (Upper Madeira, Bolivia) and April 2008 (Upper Solimões-Amazonas, Peru) [folder "ADCP_dataset_Amazon_2007-2008_Bouchez_data"].</p> <p>The dataset description and the relevant references are provided in the text files "Grain_size_distribution_dataset_Amazon_2005-2008_Bouchez_description.docx" and "ADCP_dataset_Amazon_2007-2008_Bouchez_description.docx" .</p> <p>These data were acquired thanks to the support of the French National Service for Observation "HYBAM" ("Hydrogeochemistry of the Amazon Basin"), part of the CNRS National Infrastructure "OZCAR" ("Critical Zone Observatories: Applications and Research").</p>
WRR_SajoRiver_ADCP_cross_sections_2019
<p>This is an ADCP dataset used for the following manuscript submitted for consideration to the journal <strong>Water Resources Research</strong>:</p> <p><em>"Farhad Bahmanpouri, Anette Eltner, Silvia Barbetta, László Bertalan, Tommaso Moramarco - Applying the entropy concept to predict the discharge and velocity distribution relying on a single surface velocity measurement by UAV"</em></p>
ADCP data from Poseidon E1-M3A observatory
<p>Acoustic Doppler current profiler data from Poseidon E1-M3A observatory.</p> <ul> <li>Instrument: Teledyne RD Instruments Longranger 75 kHz ADCP</li> <li>Location: Cretan Sea, 25.12° E 35.74° N</li> <li>Time span: 15 Nov 2012 – 02 Jun 2015 </li> </ul> <p>A data description is available in "ADCP observations of migration patterns of zooplankton in the Cretan Sea" by Potiris E, Frangoulis C, Kalampokis A, Ntoumas M, Pettas M, Petihakis G and Zervakis V (2018), https://doi.org/10.5194/os-2018-10.</p>
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