Abstract

Accurate and rapid observation of sea surface wind is important for the research of ocean dynamic prediction model, offshore wind resource assessment, air-sea interaction and flux. A compact floating coherent Doppler lidar system named WindMast 350-M was developed by Ocean University of China (OUC) and Leice Transient Technology Co. LTD (LEICE) for the observations of sea surface wind profiles. As an observation device installed on buoy platforms, the first vehicular motion experiment was conducted at Laoshan campus of Ocean University of China(120.49°E , 36.16°N) on 06 and 12 March, 2019. During the first experiment, the wind profiles measured by the WindMast 350-M were compared with the results from a well calibrated Ground-based Coherent Doppler lidar WindMast WP350. In this contribution, the systematic design and the specifications of 350-M are presented in detail. The preliminary results of the vehicular motion experiment are discussed as well.

Highlights

  • As an effective method for wind detection Coherent Doppler lidar has the advantages of high accuracy, high spatial and temporal resolution

  • During the first vehicular motion experiment, different measuring range setting were used, more than 5 hours wind information was observed by WindMast 350-M and WindMast WP350

  • After the motion correction and the wind retrieval, the THI (Time-Height-Intensity) diagrams of the wind profiles measured by these two systems are shown as below

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Summary

Introduction

As an effective method for wind detection Coherent Doppler lidar has the advantages of high accuracy, high spatial and temporal resolution. It is capable of low-altitude wind measurement. By combining buoy and wind lidar, floating lidar systems offer a great potential to offshore wind resources assessment, ocean dynamic prediction model research, air-sea interaction and flux study [1]. Compared with traditional fixed offshore meteorological masts, floating lidar system is cheaper and flexible. It helps to improve the ability of sea surface wind detection under bad Qualification Wavelength Pulse Energy Pulse Duration Pulse Repetition Frequency Pitch Angle.

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