{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,4]],"date-time":"2025-11-04T23:13:57Z","timestamp":1762298037865,"version":"build-2065373602"},"reference-count":39,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2013,9,5]],"date-time":"2013-09-05T00:00:00Z","timestamp":1378339200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>In the North Sea, an array of wind profiling wind lidars were deployed mainly on offshore platforms. The purpose was to observe free stream winds at hub height. Eight lidars were validated prior to offshore deployment with observations from cup anemometers at 60, 80, 100 and 116 m on an onshore met mast situated in flat terrain. The so-called \u201cNORSEWInD standard\u201d for comparing lidar and mast wind data includes the criteria that the slope of the linear regression should lie within 0.98 and 1.01 and the linear correlation coefficient higher than 0.98 for the wind speed range 4\u201316 m\u2219s\u22121. Five lidars performed excellently, two slightly failed the first criterion and one failed both. The lidars were operated offshore from six months to more than two years and observed in total  107 months of 10-min mean wind profile observations. Four lidars were re-evaluated post deployment with excellent results. The flow distortion around platforms was examined using wind tunnel experiments and computational fluid dynamics and it was found that at 100 m height wind observations by the lidars were not significantly influenced by flow distortion. Observations of the vertical wind profile shear exponent at hub height are presented.<\/jats:p>","DOI":"10.3390\/rs5094280","type":"journal-article","created":{"date-parts":[[2013,9,5]],"date-time":"2013-09-05T10:54:54Z","timestamp":1378378494000},"page":"4280-4303","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":48,"title":["Hub Height Ocean Winds over the North Sea Observed by the NORSEWInD Lidar Array: Measuring Techniques, Quality Control and Data Management"],"prefix":"10.3390","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2124-5651","authenticated-orcid":false,"given":"Charlotte","family":"Hasager","sequence":"first","affiliation":[{"name":"Department of Wind Energy, Technical University of Denmark, Frederiksborgvej 399,  4000 Roskilde, Denmark"}]},{"given":"Detlef","family":"Stein","sequence":"additional","affiliation":[{"name":"GL Garrad Hassan, Brooktorkai 18, D-20457 Hamburg, Germany"}]},{"given":"Michael","family":"Courtney","sequence":"additional","affiliation":[{"name":"Department of Wind Energy, Technical University of Denmark, Frederiksborgvej 399,  4000 Roskilde, Denmark"}]},{"given":"Alfredo","family":"Pe\u00f1a","sequence":"additional","affiliation":[{"name":"Department of Wind Energy, Technical University of Denmark, Frederiksborgvej 399,  4000 Roskilde, Denmark"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5428-856X","authenticated-orcid":false,"given":"Torben","family":"Mikkelsen","sequence":"additional","affiliation":[{"name":"Department of Wind Energy, Technical University of Denmark, Frederiksborgvej 399,  4000 Roskilde, Denmark"}]},{"given":"Matthew","family":"Stickland","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, University of Strathclyde, Glasgow G1 1XJ, UK"}]},{"given":"Andrew","family":"Oldroyd","sequence":"additional","affiliation":[{"name":"Oldbaum Services, Stirling FK9 4NF, UK"}]}],"member":"1968","published-online":{"date-parts":[[2013,9,5]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"348","DOI":"10.1002\/we.297","article-title":"The influence of the wind speed profile on wind turbine performance measurements","volume":"12","author":"Wagner","year":"2009","journal-title":"Wind Energy"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1002\/we.283","article-title":"Offshore wind profiling using Light Detection and Ranging Measurements","volume":"12","author":"Hasager","year":"2009","journal-title":"Wind Energy"},{"key":"ref_3","unstructured":"Hahmann, A.N., Lange, J., Pe\u00f1a, A., and Hasager, C.B. (2012). The NORSEWInD Numerical Wind Atlas for the South Baltic, DTU Wind Energy. DTU Wind Energy E-0011 (EN);."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1002\/we.193","article-title":"Wind lidar evaluation at the danish wind test site in hovsore","volume":"9","author":"Smith","year":"2006","journal-title":"Wind Energy"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"479","DOI":"10.1127\/0941-2948\/2007\/0226","article-title":"An eight month test campaign of the Qinetiq ZephIR system: Preliminary results","volume":"16","author":"Kindler","year":"2007","journal-title":"Meteorol. Z"},{"key":"ref_6","unstructured":"Antoniou, I., J\u00f8rgensen, H.E., Mikkelsen, T., Frandsen, S., Barthelmie, R., Perstrup, C., and Hurtig, M. (March, January 27). Offshore Wind Profile Measurements from Remote Sensing Instruments. Athens, Greece."},{"key":"ref_7","unstructured":"NORSEWInD. Available online: http:\/\/www.norsewind.eu."},{"key":"ref_8","unstructured":"Pe\u00f1a, A., Mikkelsen, T., Gryning, S.-E., Hasager, C.B., Hahmann, A., Badger, M., Karagali, I., and Courtney, M. (2012). Offshore Vertical Wind Shear: Final Report on NORSEWInD\u2019s Work Task 3.1, DTU Wind Energy. DTU Wind Energy-E-Report-0005(EN);."},{"key":"ref_9","unstructured":"Stickland, M., Scanlon, T., Fabre, S., Oldroyd, A., and Mikkelsen, T. (2013). Measurement and simulation of the flow field around a triangular lattice meteorological mast. J. Energy Power Eng., submitted."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"2474","DOI":"10.1175\/2010JAMC2523.1","article-title":"Wind class sampling of satellite SAR imagery for offshore wind resource mapping","volume":"49","author":"Badger","year":"2010","journal-title":"J. Appl. Meteorol. Climatol"},{"key":"ref_11","unstructured":"Berge, E., Hasager, C.B., Bredesen, R.E., Hahmann, A., Byrkjedal, O., Pe\u00f1a, A., Kravik, R., Harstveit, K., Costa, P., and Oldroyd, A. (2013, January 4\u20137). NORSEWIND\u2014Mesoscale Model Derived Wind Atlases for the Irish Sea, the North Sea and the Baltic Sea. Vienna, Austria."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"117","DOI":"10.3390\/rs3010117","article-title":"SAR-Based wind resource statistics in the Baltic Sea","volume":"3","author":"Hasager","year":"2011","journal-title":"Remote Sens"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1016\/j.rse.2012.01.016","article-title":"SST diurnal variability in the North Sea and the Baltic Sea","volume":"121","author":"Karagali","year":"2012","journal-title":"Remote Sens. Environ"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Karagali, I., Pe\u00f1a, A., Badger, M., and Hasager, C. (2012). Wind characteristics in the North and Baltic Seas from the QuikSCAT satellite. Wind Energy.","DOI":"10.1002\/we.1565"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"200","DOI":"10.1016\/j.renene.2013.01.017","article-title":"Spatial and temporal variability in winds in the Northern European Seas","volume":"57","author":"Karagali","year":"2013","journal-title":"Renew. Energy"},{"key":"ref_16","unstructured":"ZephIR\u00a9. Available online: http:\/\/www.zephirlidar.com."},{"key":"ref_17","unstructured":"Pe\u00f1a, A., Hasager, C.B., Lange, J., Anger, J., Badger, M., Bing\u00f6l, F., Bischoff, O., Cariou, J.-P., Dunne, F., and Emeis, S. (2013). Remote Sensing for Wind Energy, DTU Wind Energy. DTU Wind Energy-E-Report-0029(EN);."},{"key":"ref_18","unstructured":"WindCube\u00a9. Available online: http:\/\/www.leosphere.com."},{"key":"ref_19","unstructured":"Pe\u00f1a, A., Hasager, C.B., Lange, J., Anger, J., Badger, M., Bing\u00f6l, F., Bischoff, O., Cariou, J.-P., Dunne, F., and Emeis, S. (2013). Remote Sensing for Wind Energy, DTU Wind Energy. DTU Wind Energy-E-Report-0029(EN);."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1600","DOI":"10.1364\/AO.10.001600","article-title":"Signal-to-Noise relationships for Coaxial Systems that heterodyne backscatter from atmosphere","volume":"10","author":"Sonnenschein","year":"1971","journal-title":"Appl. Opt"},{"key":"ref_21","unstructured":"Hanjalic, K., Nagano, Y., and Tummers, M. (2003). Turbulence, Heat and Mass Transfer 4, Begell House Inc."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"012021","DOI":"10.1088\/1755-1315\/1\/1\/012021","article-title":"Testing and comparison of Lidars for profile and turbulence measurements in wind energy","volume":"1","author":"Courtney","year":"2008","journal-title":"IOP Conf. Ser.: Earth Environ. Sci"},{"key":"ref_23","unstructured":"Stickland, M., Scanlon, T., and Fabre, S. (December, January 29). Computational and Experimental Study on the Effect of Flow Field Distortion on the Accuracy of the Measurements made by Anemometers on the Fino3 Meteorological Mast. Amsterdam, The Netherlands."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1127\/0941-2948\/2009\/0368","article-title":"Conically scanning lidar error in complex terrain","volume":"18","author":"Mann","year":"2009","journal-title":"Meteorol. Z"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"012058","DOI":"10.1088\/1755-1315\/1\/1\/012058","article-title":"Lidar error estimation with WAsP engineering","volume":"1","author":"Mann","year":"2008","journal-title":"IOP Conf. Ser.: Earth Environ. Sci"},{"key":"ref_26","first-page":"2","article-title":"LIDAR remote sensing","volume":"5","author":"Bradley","year":"2011","journal-title":"Int. Sustain. Energy Rev"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1007\/s10546-012-9702-0","article-title":"Corrections for wind-speed errors from sodar and lidar in complex terrain","volume":"143","author":"Bradley","year":"2012","journal-title":"Bound. Layer Meteorol"},{"key":"ref_28","unstructured":"Mann, J., Ott, S., J\u00f8rgensen, B.H., and Frank, H.P. (2002). WAsP Engineering 2000, Ris\u00f8 National Laboratory for Sustainable Energy, Technical University of Denmark. Technical Report Ris\u00f8-R-1356(EN);."},{"key":"ref_29","unstructured":"Mortensen, N.G., Heathfield, D.N., Myllerup, L., Landberg, L., and Rathmann, O. (2007). Getting Started with WAsP 9, Ris\u00f8 National Laboratory for Sustainable Energy, Technical University of Denmark. Report Ris\u00f8-I-2571(EN);."},{"key":"ref_30","unstructured":"Pe\u00f1a, A., Hahmann, A., Hasager, C.B., Bing\u00f6l, F., Karagali, I., Badger, J., Badger, M., and Clausen, N. (2011). South Baltic Wind Atlas, Ris\u00f8 National Laboratory for Sustainable Energy, Technical University of Denmark. Report Ris\u00f8-R-1775(EN);."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Draxl, C., Hahmann, A.N., Pe\u00f1a, A., and Giebel, G. (2012). Evaluating winds and vertical wind shear from weather research and forecasting model forecasts using seven planetary boundary layer schemes. Wind Energy.","DOI":"10.1002\/we.1555"},{"key":"ref_32","unstructured":"Emeis, S. (2012). Series: Green Energy and Technology, Springer."},{"key":"ref_33","unstructured":"Ca\u00f1adillas, B., Neumann, T., and Raasch, S. (2010, January 23\u201327). Getting a Better Understanding of the Offshore Marine Boundary Layer: Comparison between Large Eddy Simulation and Offshore Measurement Data with Focus on Wind Energy Application. Chapel Hill, NC, USA."},{"key":"ref_34","first-page":"79","article-title":"The dependence of the power-law exponent on surface roughness and stability in a neutrally and stably stratified surface boundary layer","volume":"6","author":"Zoumakis","year":"1993","journal-title":"Atm\u00f3sfera"},{"key":"ref_35","unstructured":"Westerhellweg, A., Ca\u00f1adillas, B., Beeken, A., and Neumann, T. (2010, January 17\u201318). One Year of Lidar Measurements at FINO1-Platform: Comparison and Verification to Met-Mast Data. Bremen, Germany."},{"key":"ref_36","first-page":"063136:1","article-title":"Turbulent fluxes, stability and shear in the offshore environment: Mesoscale modelling and field observations at FINO1","volume":"4","author":"Canadillas","year":"2012","journal-title":"J. Renew. Sustain. Energy"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"1871","DOI":"10.3390\/rs3091871","article-title":"LIDAR and SODAR measurements of wind speed and direction in upland terrain for wind energy purposes","volume":"3","author":"Lang","year":"2011","journal-title":"Remote Sens"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"283","DOI":"10.3390\/rs5062883","article-title":"Estimation of offshore wind resources in coastal waters off Shirahama using ENVISAT ASAR images","volume":"5","author":"Takeyama","year":"2013","journal-title":"Remote Sens"},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Takeyama, Y., Ohsawa, T., Kozai, K., Hasager, C.B., and Badger, M. (2012). Effectiveness of WRF wind direction for retrieving coastal sea surface wind from synthetic aperture radar. Wind Energy.","DOI":"10.1002\/we.1526"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/5\/9\/4280\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T21:49:06Z","timestamp":1760219346000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/5\/9\/4280"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,9,5]]},"references-count":39,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2013,9]]}},"alternative-id":["rs5094280"],"URL":"https:\/\/doi.org\/10.3390\/rs5094280","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2013,9,5]]}}}