地面气温观测系统设计与实验研究

Design and experimental research of a near-surface temperature observation system

为提高大气温度测量的准确度,本文设计了一种新型地面气温观测系统并推导了相应的辐射误差修正方程。首先,利用计算流体动力学(CFD)方法对该测温系统进行结构优化设计以及辐射误差量化计算。然后,利用BP神经网络算法拟合可针对多变量变化的辐射误差修正方程。最后,以076B型强制通风测温仪器的测量值作为温度基准,验证该测温系统的测温精度。实验结果表明,该新型地面气温观测系统的测量值与基准温度的均方根误差(RMSE)和绝对误差(MAE)分别为0.031℃和0.041℃。

To improve the observation accuracy,a new near-surface temperature observation system and a radiation error correction equation are proposed in this paper.First,a Computational Fluid Dynamics(CFD)method was used to optimize the structure of the temperature measuring system and used to quantify the radiation error.Then,a radiation error correction equation can be obtained by using the BP neural network algorithm.Finally,field observation comparison experiments were performed to verify the accuracy of the new temperature observation system.A 076B forced ventilation temperature observation instrument served as a temperature reference during the experiments.The experimental results show that the Root Mean Square Error(RMSE)and the Mean Absolute Error(MAE)between the measurement values of the new observation system and the reference temperatures are 0.031℃and 0.041℃,respectively.