Design and experimental study of surface meteorological temperature sensor
To address the problem related to the radiation error that can be up to 1 K caused by the effects of solar radiation on sur-face weather temperature sensors,a novel temperature measuring device was proposed herein.Specifically,a computational fluid dynamics(CFD)method and a particle swarm optimization support vector machine algorithm were employed to quantify the radia-tion error of the device under multiple meteorological parameters,and to fit the results obtaining a radiation error correction equa-tion,respectively.By using the measurement values of a 076B forced ventilation thermometer as reference,a filed experiment was conducted.The results show that,with the temperature reference after correction by the radiation error correction method,the root mean square error(RMSE)and mean absolute error(MAE)of the ground temperature measuring device designed in this paper are 0.029 K and 0.027 K,respectively.The design can keep the radiation error of the ground temperature measuring device within 0.05 K.
surface weather temperature sensortemperature sensorradiation errorcomputational fluid dynamicsparticle swarm optimization support vector machine
万方数据
维普
