Floating Lidar Assessment of Atmospheric Stability in the North Sea

M. P. Araujo Da Silva*, F. Rocadenbosch, J. Farre-Guarne, A. Salcedo-Bosch, D. Gonzalez-Marco, A. Pena

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

In this work, the 2D parametric-solver algorithm [1] used to assess atmospheric stability from floating Doppler wind lidar (FDWL) measurements is revisited. The algorithm performance is studied using data from IJmuiden campaign. Mast-measured temperature and wind-speed provided the reference parameters used to evaluate the performance of the stability estimation algorithm. From 5,922 10-min samples available, the algorithm classified the atmosphere as stable (52% of the cases), neutral (31%) and unstable (17%), which successfully agreed with the mast-derived reference classification (53%, 30% and 17%, respectively).
Original languageEnglish
Title of host publicationProceedings of IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
Number of pages4
PublisherIEEE
Publication date2022
Pages7313-7316
ISBN (Electronic)978-1-6654-2792-0
DOIs
Publication statusPublished - 2022
Event2022 IEEE International Geoscience and Remote Sensing Symposium - Kuala Lumpur Convention Centre, Kuala Lumpur, Malaysia
Duration: 17 Jul 202222 Jul 2022
Conference number: 42
https://www.igarss2022.org/

Conference

Conference2022 IEEE International Geoscience and Remote Sensing Symposium
Number42
LocationKuala Lumpur Convention Centre
Country/TerritoryMalaysia
CityKuala Lumpur
Period17/07/202222/07/2022
Internet address
SeriesIEEE International Geoscience and Remote Sensing Symposium Proceedings
ISSN2153-6996

Keywords

  • Floating doppler wind lidar
  • Obukhov length
  • Wind energy
  • Atmospheric stability

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