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Current velocity data from a continuous survey using a towed ADCP in Altamaha Sound, Georgia, USA

<p><strong>Title:&nbsp; </strong>Current velocity data from a continuous survey using a towed ADCP in Altamaha Sound, Georgia, USA</p> <p><strong>Author/Data Collector: </strong>Chunyan Li</p> <p><strong>Point of Contact, PI, Originator:&nbsp; </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 Sapelo Sound during a survey conducted on Sep. 13-15, 2000, which includes 16-hour stationary mooring measurements, a 16-hour continuous survey along a triangle (14 Sep, 06:21 14 Sep, 22:01 UTC), and overnight mooring for ~ 13 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&ndash;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. 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&rsquo;s software WinRiver II output. There are three data files:</p> <p>ALT00T.000</p> <p>ALT00T.001</p> <p>ALT00T.002</p> <p>Here is an example of the data &ndash;</p> <p>50&nbsp;&nbsp;&nbsp;&nbsp; 50&nbsp;&nbsp;&nbsp;&nbsp; 25&nbsp;&nbsp;&nbsp;&nbsp; 40&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 4&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 4</p> <p>0 9 13 12 25 46 90&nbsp;&nbsp;&nbsp;&nbsp; 1&nbsp;&nbsp;&nbsp;&nbsp; 18&nbsp;&nbsp;&nbsp; 3.560&nbsp;&nbsp; -2.580&nbsp; 304.440&nbsp;&nbsp; 26.860</p> <p>-369.50&nbsp; -131.20&nbsp;&nbsp;&nbsp; -0.80&nbsp;&nbsp;&nbsp; -0.10&nbsp; -32768&nbsp;&nbsp; -32768&nbsp;&nbsp; -32768&nbsp;&nbsp; -32768&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 9.22&nbsp;&nbsp;&nbsp;&nbsp; 9.08&nbsp;&nbsp;&nbsp;&nbsp; 9.19&nbsp;&nbsp;&nbsp;&nbsp; 9.09</p> <p>121.98&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 31.10&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 41.03&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 114.87&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 121.98</p> <p>&nbsp;&nbsp; 31.9893333&nbsp;&nbsp; -81.0330833&nbsp; -314.40&nbsp; -146.20&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 91.8</p> <p>69.8&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1.8&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 7.3&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;0.0&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0.0&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0.0&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0.0&nbsp;&nbsp;&nbsp; 0.0&nbsp;&nbsp;&nbsp; 0.0</p> <p>28 cm BT counts 0.43&nbsp; 0.034</p> <p>&nbsp; 1.48&nbsp;&nbsp;&nbsp;&nbsp; 23.08&nbsp;&nbsp;&nbsp; 254.157&nbsp; -22.2&nbsp;&nbsp; -6.3&nbsp;&nbsp; 13.3&nbsp;&nbsp;&nbsp; 2.5&nbsp; 161.0&nbsp; 170.0&nbsp; 167.0&nbsp; 169.0&nbsp; 100&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0.04</p> <p>&nbsp; 1.98&nbsp;&nbsp;&nbsp;&nbsp; 26.23&nbsp;&nbsp;&nbsp; 267.378&nbsp; -26.2&nbsp;&nbsp; -1.2&nbsp;&nbsp; 13.0&nbsp;&nbsp;&nbsp; 2.2&nbsp; 166.0&nbsp; 175.0&nbsp; 172.0&nbsp; 173.0&nbsp; 100&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0.28</p> <p>&nbsp; 2.48&nbsp;&nbsp;&nbsp;&nbsp; 28.51&nbsp;&nbsp;&nbsp; 271.809&nbsp; -28.5&nbsp;&nbsp;&nbsp; 0.9&nbsp;&nbsp; 12.9&nbsp;&nbsp;&nbsp; 4.9&nbsp; 163.0&nbsp; 171.0&nbsp; 170.0&nbsp; 170.0&nbsp; 100&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0.36</p> <p>&nbsp; 2.98&nbsp;&nbsp;&nbsp;&nbsp; 32.63&nbsp;&nbsp;&nbsp; 279.347&nbsp; -32.2&nbsp;&nbsp;&nbsp; 5.3&nbsp;&nbsp; 11.6&nbsp;&nbsp;&nbsp; 2.1&nbsp; 160.0&nbsp; 168.0&nbsp; 167.0&nbsp; 167.0&nbsp; 100&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0.54</p> <p>&nbsp; 3.48&nbsp;&nbsp;&nbsp;&nbsp; 32.65&nbsp;&nbsp;&nbsp; 266.840&nbsp; -32.6&nbsp;&nbsp; -1.8&nbsp;&nbsp;&nbsp; 9.7&nbsp;&nbsp;&nbsp; 1.7&nbsp; 157.0&nbsp; 166.0&nbsp; 164.0&nbsp; 164.0&nbsp; 100&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0.35</p> <p>&nbsp; 3.98&nbsp;&nbsp;&nbsp;&nbsp; 32.11&nbsp;&nbsp;&nbsp; 271.249&nbsp; -32.1&nbsp;&nbsp;&nbsp; 0.7&nbsp;&nbsp;&nbsp; 7.7&nbsp;&nbsp;&nbsp; 0.3 &nbsp;155.0&nbsp; 164.0&nbsp; 162.0&nbsp; 162.0&nbsp; 100&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0.39</p> <p>&nbsp; 4.48&nbsp;&nbsp;&nbsp;&nbsp; 32.10&nbsp;&nbsp;&nbsp; 269.286&nbsp; -32.1&nbsp;&nbsp; -0.4&nbsp;&nbsp;&nbsp; 6.6&nbsp;&nbsp;&nbsp; 1.3&nbsp; 154.0&nbsp; 162.0&nbsp; 161.0&nbsp; 161.0&nbsp; 100&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0.35</p> <p>&nbsp; 4.98&nbsp;&nbsp;&nbsp;&nbsp; 30.31&nbsp;&nbsp;&nbsp; 268.299&nbsp; -30.3&nbsp;&nbsp; -0.9&nbsp;&nbsp;&nbsp; 5.2&nbsp;&nbsp;&nbsp; 2.4&nbsp; 152.0&nbsp; 160.0&nbsp; 158.0&nbsp; 159.0&nbsp; 100&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0.31</p> <p>&nbsp; 5.48&nbsp;&nbsp;&nbsp;&nbsp; 30.32&nbsp;&nbsp;&nbsp; 264.891&nbsp; -30.2&nbsp;&nbsp; -2.7&nbsp;&nbsp;&nbsp; 3.9&nbsp;&nbsp;&nbsp; 5.3&nbsp; 150.0&nbsp; 158.0&nbsp; 157.0&nbsp; 157.0&nbsp; 100&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0.28</p> <p>&nbsp; 5.98&nbsp;&nbsp;&nbsp;&nbsp; 30.73&nbsp;&nbsp;&nbsp; 255.873&nbsp; -29.8&nbsp;&nbsp; -7.5&nbsp;&nbsp;&nbsp; 3.4&nbsp;&nbsp;&nbsp; 0.1&nbsp; 148.0&nbsp; 155.0&nbsp; 155.0&nbsp; 155.0&nbsp; 100&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0.10</p> <p>&nbsp; 6.48&nbsp;&nbsp;&nbsp;&nbsp; 28.87&nbsp;&nbsp;&nbsp; 263.835&nbsp; -28.7&nbsp;&nbsp; -3.1&nbsp;&nbsp;&nbsp; 2.2&nbsp;&nbsp;&nbsp; 1.5&nbsp; 147.0&nbsp; 157.0&nbsp; 154.0&nbsp; 156.0&nbsp; 100&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0.30</p> <p>&nbsp; 6.98&nbsp;&nbsp;&nbsp;&nbsp; 25.12&nbsp;&nbsp;&nbsp; 264.289&nbsp; -25.0&nbsp;&nbsp; -2.5&nbsp;&nbsp;&nbsp; 1.5&nbsp;&nbsp; -1.6&nbsp; 154.0&nbsp; 165.0&nbsp; 160.0&nbsp; 164.0&nbsp;&nbsp; 89&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0.23</p> <p>&nbsp; 7.48&nbsp;&nbsp;&nbsp;&nbsp; 27.16&nbsp;&nbsp;&nbsp; 260.676&nbsp; -26.8&nbsp;&nbsp; -4.4&nbsp;&nbsp;&nbsp; 1.8&nbsp;&nbsp; -0.1&nbsp; 156.0&nbsp; 166.0&nbsp; 163.0&nbsp; 164.0&nbsp;&nbsp; 94&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0.26</p> <p>&nbsp; 7.98&nbsp;&nbsp;&nbsp;&nbsp; 28.57&nbsp;&nbsp;&nbsp; 265.986&nbsp; -28.5&nbsp;&nbsp; -2.0&nbsp;&nbsp;&nbsp; 1.0&nbsp;&nbsp; -1.5&nbsp; 147.0&nbsp; 161.0&nbsp; 157.0&nbsp; 155.0&nbsp;&nbsp; 83&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0.31</p> <p>&nbsp; 8.48&nbsp;&nbsp;&nbsp;&nbsp; 25.42&nbsp;&nbsp;&nbsp; 257.276&nbsp; -24.8&nbsp;&nbsp; -5.6&nbsp;&nbsp;&nbsp; 1.2&nbsp;&nbsp; -0.5&nbsp; 149.0&nbsp; 162.0&nbsp; 155.0&nbsp; 158.0&nbsp;&nbsp; 72&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0.30</p> <p>&nbsp; 8.98&nbsp;&nbsp;&nbsp;&nbsp; 19.80&nbsp;&nbsp;&nbsp; 278.130&nbsp; -19.6&nbsp;&nbsp;&nbsp; 2.8&nbsp;&nbsp;&nbsp; 0.3&nbsp;&nbsp;&nbsp; 0.7&nbsp; 154.0&nbsp; 169.0&nbsp; 160.0&nbsp; 164.0&nbsp;&nbsp; 61&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0.63</p> <p>&nbsp; 9.48&nbsp;&nbsp;&nbsp;&nbsp; 14.44&nbsp;&nbsp;&nbsp; 257.600&nbsp; -14.1&nbsp;&nbsp; -3.1&nbsp;&nbsp; -0.4&nbsp;&nbsp;&nbsp; 6.9&nbsp; 154.0&nbsp; 172.0&nbsp; 162.0&nbsp; 164.0&nbsp;&nbsp; 44 2147483647</p> <p>&nbsp; 9.98&nbsp;&nbsp;&nbsp;&nbsp; 11.79&nbsp;&nbsp;&nbsp; 320.505&nbsp;&nbsp; -7.5&nbsp;&nbsp;&nbsp; 9.1&nbsp;&nbsp; -1.3&nbsp;&nbsp; -2.2&nbsp; 146.0&nbsp; 163.0&nbsp; 153.0&nbsp; 154.0&nbsp;&nbsp; 33 2147483647</p> <p>&nbsp;10.48&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 8.79&nbsp;&nbsp;&nbsp; 348.179&nbsp;&nbsp; -1.8&nbsp; &nbsp;&nbsp;8.6&nbsp;&nbsp; -0.2&nbsp;&nbsp;&nbsp; 8.0&nbsp; 130.0&nbsp; 142.0&nbsp; 135.0&nbsp; 137.0&nbsp;&nbsp; 22 2147483647</p> <p>&nbsp;10.98&nbsp;&nbsp;&nbsp; -32768&nbsp;&nbsp;&nbsp;&nbsp; -32768 -32768 -32768 -32768 -32768&nbsp; 110.0&nbsp; 125.0&nbsp; 116.0&nbsp; 121.0&nbsp;&nbsp;&nbsp; 0 2147483647</p> <p>The ADCP data were used in Li (2013).</p> <p><strong>Acknowledgements</strong></p> <p>The data were collected on R/V Bluefin funded by NSF-LTER.</p> <p><strong>References</strong></p> <p>Li, C. (2013). Subtidal Water Flux through a Multi-inlet System: Observations Before and During a Cold Front Event and Numerical Experiments, <em>Journal of Geophysical Research: Oceans</em>, Vol. 118, 1&ndash;16, doi:10.1029/2012JC008109, 2013.</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
8
Access
16
Reuse readiness
8
Engagement
0