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Measurements of Surface-Layer Turbulence in a Wide Norwegian Fjord Using Synchronized Long-Range Doppler Wind Lidars

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dc.contributor Háskólinn í Reykjavík
dc.contributor Reykjavik University
dc.contributor.author Cheynet, Etienne
dc.contributor.author Jakobsen, Jasna
dc.contributor.author Snaebjornsson, Jonas Thor
dc.contributor.author Mann, Jakob
dc.contributor.author Courtney, Michael
dc.contributor.author Lea, Guillaume
dc.contributor.author Svardal, Benny
dc.date.accessioned 2020-03-19T13:30:58Z
dc.date.available 2020-03-19T13:30:58Z
dc.date.issued 2017-09-21
dc.identifier.citation Cheynet, E., Jakobsen, J. B., Snaebjoernsson, J., Mann, J., Courtney, M., Lea, G., & Svardal, B. (2017). Measurements of Surface-Layer Turbulence in a Wide Norwegian Fjord Using Synchronized Long-Range Doppler Wind Lidars. REMOTE SENSING, 9(10). https://doi.org/10.3390/rs9100977
dc.identifier.issn 2072-4292
dc.identifier.uri https://hdl.handle.net/20.500.11815/1622
dc.description.abstract Three synchronized pulsed Doppler wind lidars were deployed from May 2016 to June 2016 on the shores of a wide Norwegian fjord called Bjornafjord to study the wind characteristics at the proposed location of a planned bridge. The purpose was to investigate the potential of using lidars to gather information on turbulence characteristics in the middle of a wide fjord. The study includes the analysis of the single-point and two-point statistics of wind turbulence, which are of major interest to estimate dynamic wind loads on structures. The horizontal wind components were measured by the intersecting scanning beams, along a line located 25m above the sea surface, at scanning distances up to 4.6km. For a mean wind velocity above 8m.s(-1), the recorded turbulence intensity was below 0.06 on average. Even though the along-beam spatial averaging leads to an underestimated turbulence intensity, such a value indicates a roughness length much lower than provided in the European standard EN 1991-1-4:2005. The normalized spectrum of the along-wind component was compared to the one provided by the Norwegian Petroleum Industry Standard and the Norwegian Handbook for bridge design N400. A good overall agreement was observed for wave-numbers below 0.02m(-1). The along-beam spatial averaging in the adopted set-up prevented a more detailed comparison at larger wave-numbers, which challenges the study of wind turbulence at scanning distances of several kilometres. The results presented illustrate the need to complement lidar data with point-measurement to reduce the uncertainties linked to the atmospheric stability and the spatial averaging of the lidar probe volume. The measured lateral coherence was associated with a decay coefficient larger than expected for the along-wind component, with a value around 21 for a mean wind velocity bounded between 10m.s(-1) and 14m.s(-1), which may be related to a stable atmospheric stratification.
dc.description.sponsorship The measurements were performed with the support from the Norwegian Public Road Administration. We are indebted to Claus Brian Munk Pedersen and Soren William Lund from the Technical University of Denmark, as well as Jarle Berge from the University of Stavanger, for their assistance during the installation and/or dismantling of the lidar equipment. Finally, we are grateful to Kjeller Vindteknikk for providing the data recorded on the met-mast on the island of Ospoya.
dc.format.extent 977
dc.language.iso en
dc.publisher MDPI AG
dc.relation.ispartofseries Remote Sensing;9(10)
dc.rights info:eu-repo/semantics/openAccess
dc.subject Wind coherence
dc.subject Turbulence spectrum
dc.subject Pulsed lidar
dc.subject Full-scale measurements
dc.subject WindScanner system
dc.subject Bridges
dc.subject Vindmælingar
dc.subject Vindálag
dc.subject Vatnsborð
dc.subject Brýr
dc.subject Byggingarverkfræði
dc.subject Norway
dc.subject Noregur
dc.title Measurements of Surface-Layer Turbulence in a Wide Norwegian Fjord Using Synchronized Long-Range Doppler Wind Lidars
dc.type info:eu-repo/semantics/article
dcterms.license This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
dc.description.version "Peer Reviewed"
dc.identifier.journal Remote Sensing
dc.identifier.doi 10.3390/rs9100977
dc.relation.url http://www.mdpi.com/2072-4292/9/10/977/pdf
dc.contributor.school Tækni- og verkfræðideild (HR)
dc.contributor.school School of Science and Engineering (RU)

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