Abstract
Wind profiles measured at the research platform FINO1 are used to retrieve surface boundary-layer parameters, namely, the friction velocity, heat flux, and Obukhov length. The latter is used to assess atmospheric stability. Two different retrieval algorithms, the 2D parametric solver [1] and the Hybrid-Wind method [2], are compared with reference to sonic-anemometers retrievals. Regarding atmospheric stability classification, the 2D algorithm provided better performance than the Hybrid-Wind method. When comparing the 2D-estimated (HW-estimated) friction velocity to the anemometers’ reference, a determination coefficient of ρ2 = 0.70 (ρ2 = 0.00) were obtained.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium |
| Number of pages | 4 |
| Publisher | IEEE |
| Publication date | 2023 |
| Pages | 4427-4430 |
| ISBN (Electronic) | 979-8-3503-2010-7 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | 2023 IEEE International Geoscience and Remote Sensing Symposium - Pasadena Convention Center, Pasadena, United States Duration: 16 Jul 2023 → 21 Jul 2023 Conference number: 43 |
Conference
| Conference | 2023 IEEE International Geoscience and Remote Sensing Symposium |
|---|---|
| Number | 43 |
| Location | Pasadena Convention Center |
| Country/Territory | United States |
| City | Pasadena |
| Period | 16/07/2023 → 21/07/2023 |
| Series | IEEE International Geoscience and Remote Sensing Symposium Proceedings |
|---|---|
| ISSN | 2153-6996 |
Keywords
- Friction velocity
- Obukhov length
- Stability
- Heat flux
- Wind energy
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