Abstract：In order to further study the uncertainty of the measurement indication error of wind speed sensors,relying on the 40 m/s wind tunnel laboratory in Gansu Province and the EL151C wind speed sensor laboratory calibration process,the probability density functions of each influencing variable were analyzed and determined.Based on the wind speed measurement model,the Monte Carlo method was used to evaluate the optimal indication error value and standard uncertainty of the measurement results,and the distribution interval corresponding to the probability value of 95％ was further calculated.Finally,a comparative experiment was conducted on the evaluation results corresponding to the wind speed indication error under the two models,and it was found that the standard uncertainty corresponding to each calibration point under the two models was consistent.This indicates that the effect of the water vapor correction term 0.378e on uncertainty can be ignored when three decimal places are retained.However,under the simplified model that abandons 0.378e,the best estimate of the indication error is biased,resulting in a general rightward shift of the measurement results corresponding to 95％ inclusion probability,which has a significant impact on the measurement results.Therefore,when high accuracy is required for measurement results,it is recommended to use a standard wind speed actual model containing 0.378e for uncertainty assessment.The research results provide reference for the application of Monte Carlo method in the uncertainty assessment of meteorological instruments.
雷晓妹, 宋子男, 宋媛, 吴丽娜, 第五朋朋. 基于蒙特卡洛法的风速测量结果不确定度评定[J]. 气象水文海洋仪器, 2025, 42(5): 5-9.
Lei Xiaomei, Song Zinan, Song Yuan, Wu Lina, Diwu Pengpeng. Uncertainty evaluation of wind speed measurement results based on Monte Carlo method. Meteorological Hydrological and Marine Instrument, 2025, 42(5): 5-9.
2025, Vol. 42 
