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Frøya wind data

<p>Herewith we present the dataset of wind measurements from a Skipheia meteorological station on the island of Fr&oslash;ya on the western coast of Norway, Trondelag.</p> <p>The site represents an exposed coastal wind climate with open sea, land and mixed fetch from various directions. UTM-coordinates of the Met-mast: 8.34251 E and 63.66638 N.</p> <p>Presented data were gathered between years 2009-2015;</p> <p>Hardware summary: 6 pairs of 2D sonic anemometers at 10, 16, 25, 40, 70, 100 m above the ground, independent temperature measurements at the same heights and near the ground; pressure and relative humidity from local meteostation (Sula, 20 km away).</p> <p>Database summary: approx. 180 000 of 10 min data samples of full data recovery. Wind speed and direction, temperature, pressure &amp; relative humidity (from a nearby meteostation).</p> <p>Data description: Two data files of different formats are available: a &lsquo;*.txt&rsquo; comma-separated values&nbsp;file and a native MATLAB &lsquo;*.mat&rsquo; file. Both contain the same data, starting with the first column:&nbsp;timestamp, wind speed&nbsp;(m/s, columns WS1-WS12) for 6 anemometers pairs, wind direction (360 deg, columns WD1-WD12) for 6 anemometers pairs, temperature at 0.2 m (AT0), temperatures at levels of wind measurement (deg C, AT1-AT6), data from nearby meteostation Sula, pressure (hPa, PressureSula), relative humidity (%, RelHumSula), temperature (deg C, TempSula), wind direction (360 deg, WDSula) and wind speed (m/s, WSSula). Columns have headers describing the data (first row).</p> <p>Detailed site description with wind climate description can be found in attached analysis: Site analysys.pdf.</p> <p>Additional information and analysis can be found in&nbsp;listed below works, using data from Fr&oslash;ya site, or nearby sites:</p> <p><strong>&nbsp;</strong>M&oslash;ller, M., Domagalski, P., and S&aelig;tran, L. R.: Comparing Abnormalities in Onshore and Offshore Vertical Wind Profiles, Wind Energ. Sci. https://wes.copernicus.org/articles/5/391/2020/&nbsp;</p> <p>IEA Wind TCP Task 27 Compendium of IEA Wind TCP Task 27 Case Studies, Technical Report, Prepared by Ignacio Cruz Cruz, CIEMAT, Spain Trudy Forsyth, WAT, United States, October 2018; Chapter 1.8. <a href="https://community.ieawind.org/HigherLogic/System/DownloadDocumentFile.ashx?DocumentFileKey=8afc06ec-bb68-0be8-8481-6622e9e95ae7&amp;forceDialog=0">https://community.ieawind.org/HigherLogic/System/DownloadDocumentFile.ashx?DocumentFileKey=8afc06ec-bb68-0be8-8481-6622e9e95ae7&amp;forceDialog=0</a></p> <p>Domagalski, P., Bardal, L. M., &amp; Satran, L. Vertical Wind Profiles in Non-neutral Conditions-Comparison of Models and Measurements from Froya.&nbsp;<em>Journal of Offshore Mechanics and Arctic Engineering,</em> doi: 10.1115/1.4041816, <a href="http://offshoremechanics.asmedigitalcollection.asme.org/article.aspx?articleid=2711333&amp;resultClick=3">http://offshoremechanics.asmedigitalcollection.asme.org/article.aspx?articleid=2711333&amp;resultClick=3</a></p> <p>Mathias M&oslash;ller&nbsp;, Piotr Domagalski&nbsp;and Lars Roar S&aelig;tran, Characteristics of abnormal vertical wind profiles at a coastal site,&nbsp;<em>Journal of Physics: Conference Series</em>, IOPscience, under review (Feb&nbsp;2019), DeepWind2019 conference poster available at: <a href="https://www.sintef.no/globalassets/project/eera-deepwind-2019/posters/c_moller_a4.pdf">https://www.sintef.no/globalassets/project/eera-deepwind-2019/posters/c_moller_a4.pdf</a></p> <p>Bardal, L. M., Onstad, A. E., S&aelig;tran, L. R., &amp; Lund, J. A. (2018). Evaluation of methods for estimating atmospheric stability at two coastal sites.&nbsp;<em>Wind Engineering</em>, 0309524X18780378,&nbsp;<a href="https://doi.org/10.1177%2F0309524X18780378">https://doi.org/10.1177/0309524X18780378</a></p> <p>Bardal, L. M., &amp; S&aelig;tran, L. R. (2016, September). Spatial correlation of atmospheric wind at scales relevant for large scale wind turbines.&nbsp;In&nbsp;<em>Journal of Physics: Conference Series</em>&nbsp;(Vol. 753, No. 3, p. 032033). IOP Publishing, doi:10.1088/1742-6596/753/3/032033, <a href="https://iopscience.iop.org/article/10.1088/1742-6596/753/3/032033/pdf">https://iopscience.iop.org/article/10.1088/1742-6596/753/3/032033/pdf</a></p> <p>Bardal, L. M., &amp; S&aelig;tran, L. R. (2016). Wind gust factors in a coastal wind climate.&nbsp;<em>Energy Procedia,</em>&nbsp;94, 417-424, <a href="https://doi.org/10.1016/j.egypro.2016.09.207">https://doi.org/10.1016/j.egypro.2016.09.207</a></p>

ShareScore

52/100

Overall dataset sharing score

Score breakdown

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

Stewardship
8
Harmonization
4
Access
20
Reuse readiness
8
Engagement
12

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