Floating Doppler Wind Lidar: assessment of the sea-motion-induced error in the retrieved wind vector
This work presents an analytical formulation to assess the six-degrees-of-freedom motion-induced error on floating Doppler Wind lidars (FDWL). Error products are the horizontal wind speed bias and apparent turbulence intensity. Departing from a geometrical formulation of the FDWL attitude and of the...
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| Tipo de documento: | dissertação |
| Data de publicação: | 2022 |
| País: | España |
| Recursos: | Universitat Politècnica de Catalunya (UPC) |
| Repositório: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglês |
| OAI Identifier: | oai:upcommons.upc.edu:2117/377557 |
| Acesso em linha: | https://hdl.handle.net/2117/377557 |
| Access Level: | Acceso aberto |
| Palavra-chave: | Signal theory (Telecommunication) Windmills Photonics Signal Processing Remote Sensing Doppler Wind Lidar Wind Speed Teledetección Procesamiento de señal Fotonica Velocidad del Viento Senyal, Teoria del (Telecomunicació) Molins de vent Fotònica Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Adquisició i detecció del senyal |
| Resumo: | This work presents an analytical formulation to assess the six-degrees-of-freedom motion-induced error on floating Doppler Wind lidars (FDWL). Error products are the horizontal wind speed bias and apparent turbulence intensity. Departing from a geometrical formulation of the FDWL attitude and of the lidar retrieval algorithm, the rotational and translational motion contributions to the FDWL-measured total error are computed. Central to this process is the interpretation of the velocity-azimuth-display retrieval algorithm in terms of a first-order Fourier series. The obtained 6-DoF formulation is numerically validated by means of a floating-lidar motion simulator and, experimentally, in the framework of the 25-day near off-shore measurement campaign carried out at Pont del Petroli, Barcelona, involving a fixed and a floating ZephIR TM 300 lidar. The proposed formulation proved itself able to estimate the motion-induced FDWL horizontal-wind-speed bias and returned similar percentiles to when comparing the FDWL to the fixed lidar. The estimations of the turbulence intensity increment statistically matched the FDWL measurements under all motional scenarios when clustering the data as a function of the buoy mean tilt and translational velocity. |
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