Offshore Doppler Wind LiDAR assessment of atmospheric stability

التفاصيل البيبلوغرافية
العنوان: Offshore Doppler Wind LiDAR assessment of atmospheric stability
المؤلفون: Silva, Marcos Paulo Aráujo da, Salcedo Bosch, Andreu, Gutiérrez Antuñano, Miguel Ángel, Rocadenbosch Burillo, Francisco
المساهمون: Universitat Politècnica de Catalunya. Doctorat en Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
بيانات النشر: Institute of Electrical and Electronics Engineers (IEEE)
سنة النشر: 2020
المجموعة: Universitat Politècnica de Catalunya, BarcelonaTech: UPCommons - Global access to UPC knowledge
مصطلحات موضوعية: Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció, Optical radar, Wind power, Wind lidar, Wind shear, Atmospheric stability, Offshore wind energy, Radar òptic, Energia eòlica
الوصف: This paper tackles atmospheric stability typing using a Zephyr™ 300 offshore Doppler Wind Lidar in the context of its progressive acceptance in the offshore wind-energy industry. The lidar-retrieved wind-shear exponent, which is used as a proxy atmospheric stability, is compared against the wind-shear exponent and the potential temperature gradient both retrieved from reference metmast. A total sample of 4319 measurements is analysed from IJmuiden's test campaign, in the North Sea, from April 1 st to 30 th, 2015. Concerning stability typing, both lidar- and metmast-derived wind-shear indicators overestimated by 4% and 14%, respectively, the most frequent atmospheric stability case, which was convective (48% of the cases) according to the potential temperature reference indicator. ; This work was supported via Spanish Government–European Regional Development Funds project PGC2018-094132-B-I00 and EU H2020 ACTRIS-2 (GA 654109). The European Institute of Innovation and Technology (EIT), KIC InnoEnergy project NEPTUNE (Offshore Metocean Data Measuring Equipment and Wind, Wave and Current Analysis and Forecasting Software, call FP7) supported measurements campaigns. CommSensLab is a María-de-Maeztu Unit of Excellence funded by the Agencia Estatal de Investigacion (Spanish National Science Foundation) that also funded the project MDM-2016-0600-18-1. Spanish NSF (Ministry of Science, Innovation and Universities; Ministerio de Ciencia, Innovacion y Universidades) for doctoral grant PRE2018-086054 hold by Ph.D. student Araujo da Silva M.P. at CommSensLab-UPC. ; Peer Reviewed ; Postprint (author's final draft)
نوع الوثيقة: conference object
وصف الملف: 4 p.; application/pdf
اللغة: English
ردمك: 978-1-72816-374-1
1-72816-374-9
العلاقة: https://ieeexplore.ieee.org/document/9324044Test; info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-094132-B-I00/ES/TELEDETECCION ATMOSFERICA MEDIANTE SENSORES COOPERATIVOS LIDAR, RADAR Y PASIVOS: APLICACIONES SOBRE TIERRA Y MAR PARA LA OBSERVACION ATMOSFERICA Y ENERGIA EOLICA OFF-SHORE/; info:eu-repo/grantAgreement/EC/H2020/654109/EU/Aerosols, Clouds, and Trace gases Research InfraStructure/ACTRIS-2; info:eu-repo/grantAgreement/MINECO/1PE/MDM-2016-0600; info:eu-repo/grantAgreement/CE/Offshore Metocean Data Measuring Equipment and Wind, Wave and Current Analysis and Forecasting Software/NEPTUNE.EIT/KIC InnoEnergy/FPA/1; Araujo, M. [et al.]. Offshore Doppler Wind LiDAR assessment of atmospheric stability. A: IEEE International Geoscience and Remote Sensing Symposium. "2020 IEEE International Geoscience & Remote Sensing Symposium: September 26–October 2, 2020, virtual: proceedings". Institute of Electrical and Electronics Engineers (IEEE), 2020, p. 6081-6084. ISBN 978-1-7281-6374-1. DOI 10.1109/IGARSS39084.2020.9324044.; http://hdl.handle.net/2117/340420Test
DOI: 10.1109/IGARSS39084.2020.9324044
الإتاحة: https://doi.org/10.1109/IGARSS39084.2020.9324044Test
http://hdl.handle.net/2117/340420Test
حقوق: Open Access
رقم الانضمام: edsbas.14699DD0
قاعدة البيانات: BASE
الوصف
ردمك:9781728163741
1728163749
DOI:10.1109/IGARSS39084.2020.9324044