Abstract:The use of ocean meteorological drifting buoys to observe ocean wind data has the advantages of low cost and disposable. However, in the dynamic observation environment at sea, the sensor inclination is changing and the changing speed is uncertain, which results in large measurement error. In order to solve this problem, an experimental platform for wind measurement is built, and FT742-SM type ultrasonic wind sensor is selected to measure the wind speed and direction data, the Euler angles model and the quaternion model were used to calculate the three obliquities of the wind sensor. Through the comparison and analysis of several experimental data, it is found that the Sensor Pitch Angle θ and roll angle γ have the greatest influence on the wind speed and direction measurement, and a multi-variable fitting method is proposed to compensate the error of the measured wind speed and direction data, the accuracy of the compensated data has been greatly improved.Finally, combined with the true wind correction algorithm, the general process of the drifting buoy wind measurement algorithm is designed, which provides a good reference value for the subsequent marine meteorological drifting buoy wind measurement.