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 language | English |
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Title of host publication | Proceedings of IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium |
Number of pages | 4 |
Publisher | IEEE |
Publication date | 2022 |
Pages | 7313-7316 |
ISBN (Electronic) | 978-1-6654-2792-0 |
DOIs | |
Publication status | Published - 2022 |
Event | 2022 IEEE International Geoscience and Remote Sensing Symposium - Kuala Lumpur Convention Centre, Kuala Lumpur, Malaysia Duration: 17 Jul 2022 → 22 Jul 2022 Conference number: 42 https://www.igarss2022.org/ |
Conference
Conference | 2022 IEEE International Geoscience and Remote Sensing Symposium |
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Number | 42 |
Location | Kuala Lumpur Convention Centre |
Country/Territory | Malaysia |
City | Kuala Lumpur |
Period | 17/07/2022 → 22/07/2022 |
Internet address |
Series | IEEE International Geoscience and Remote Sensing Symposium Proceedings |
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ISSN | 2153-6996 |
Keywords
- Floating doppler wind lidar
- Obukhov length
- Wind energy
- Atmospheric stability