本文主要介绍了自主研发的多通道地基微波辐射计观测亮温和数据反演方法，并与探空观测值进行对比，分析了辐射计观测亮温、反演的温度和水汽廓线的精度。结果表明，该仪器亮温观测误差小且利用神经网络反演的大气温度及水汽等廓线参数准确可靠，具有实际应用价值。

This paper proposes a self-developed multi-channel ground-based microwave radiometer that uses a brightness temperature and data inversion method. We compared the radiometer data and the radiosonde observations, and then analyzed the radiometer observations in terms of brightness temperature, inversion temperature, and water vapor profile accuracy. Results show that the microwave radiometer has a small observation error of brightness temperature and the neural network inversion profiles of atmospheric temperature, water vapor, and other parameters are accurate and reliable. The proposed radiometer has practical applications.