{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T13:32:21Z","timestamp":1774272741150,"version":"3.50.1"},"reference-count":69,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2018,3,6]],"date-time":"2018-03-06T00:00:00Z","timestamp":1520294400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>IEA Wind Task 32 exists to identify and mitigate barriers to the adoption of lidar for wind energy applications. It leverages ongoing international research and development activities in academia and industry to investigate site assessment, power performance testing, controls and loads, and complex flows. Since its initiation in 2011, Task 32 has been responsible for several recommended practices and expert reports that have contributed to the adoption of ground-based, nacelle-based, and floating lidar by the wind industry. Future challenges include the development of lidar uncertainty models, best practices for data management, and developing community-based tools for data analysis, planning of lidar measurements and lidar configuration. This paper describes the barriers that Task 32 identified to the deployment of wind lidar in each of these application areas, and the steps that have been taken to confirm or mitigate the barriers. Task 32 will continue to be a meeting point for the international wind lidar community until at least 2020 and welcomes old and new participants.<\/jats:p>","DOI":"10.3390\/rs10030406","type":"journal-article","created":{"date-parts":[[2018,3,6]],"date-time":"2018-03-06T12:16:27Z","timestamp":1520338587000},"page":"406","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":50,"title":["IEA Wind Task 32: Wind Lidar Identifying and Mitigating Barriers to the Adoption of Wind Lidar"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9698-5083","authenticated-orcid":false,"given":"Andrew","family":"Clifton","sequence":"first","affiliation":[{"name":"WindForS, University of Stuttgart, Allmandring 5b, 70569 Stuttgart, Germany"}]},{"given":"Peter","family":"Clive","sequence":"additional","affiliation":[{"name":"Wood-Clean Energy, 2nd Floor, St. Vincent Plaza, 319 St. Vincent Street, Glasgow G2 5LP, UK"}]},{"given":"Julia","family":"Gottschall","sequence":"additional","affiliation":[{"name":"Fraunhofer Institute for Wind Energy Systems IWES, Am Seedeich 45, 27572 Bremerhaven, Germany"}]},{"given":"David","family":"Schlipf","sequence":"additional","affiliation":[{"name":"Stuttgart Wind Energy, University of Stuttgart, Allmandring 5b, 70569 Stuttgart, Germany"}]},{"given":"Eric","family":"Simley","sequence":"additional","affiliation":[{"name":"Envision Energy USA Ltd., 1201 Louisiana St. Suite 500, Houston, TX 77002, USA"}]},{"given":"Luke","family":"Simmons","sequence":"additional","affiliation":[{"name":"DNV GL\u2014Measurements, 1501 9th Avenue, Suite 900, Seattle, WA 98001, USA"}]},{"given":"Detlef","family":"Stein","sequence":"additional","affiliation":[{"name":"Multiversum GmbH, Shanghaiallee 9, 20457 Hamburg, Germany"}]},{"given":"Davide","family":"Trabucchi","sequence":"additional","affiliation":[{"name":"ForWind, University of Oldenburg, K\u00fcpkersweg 70, 26129 Oldenburg, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9381-9693","authenticated-orcid":false,"given":"Nikola","family":"Vasiljevic","sequence":"additional","affiliation":[{"name":"Department for Wind Energy, Technical University of Denmark, Frederiksborgvej 399, 4000 Roskilde, Denmark"}]},{"given":"Ines","family":"W\u00fcrth","sequence":"additional","affiliation":[{"name":"Stuttgart Wind Energy, University of Stuttgart, Allmandring 5b, 70569 Stuttgart, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2018,3,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1127\/0941-2948\/2007\/0225","article-title":"Boundary-layer anemometry by optical remote sensing for wind energy applications","volume":"16","author":"Emeis","year":"2007","journal-title":"Meteorologische Zeitschrift"},{"key":"ref_2","unstructured":"(2017). 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