摘要
文章以国产MWP967KV微波辐射计为参考,利用MonoRTM辐射传输模式模拟亮温,采用神经网络算法和多元线性回归方法反演大气温度和水汽密度廓线,通过与探空资料进行对比,两种方法反演准确度相差不大,BP神经网络反演准确度稳定性在一定程度上优于多元线性回归法。
Based on the reference of domestic MWP967 KV microwave radiometer,the brightness temperature was calculated through the method of monochromatic radiative transfer model MonoRTM.The atmosphere temperature and the water vapor density were retrieving by multiple linear regression and the BP neural network method.By comparing and analyzing sounding data,there is little difference between the two methods of the accuracy.And the accurate stability of BP neural network inversion is better than multiple linear regression method to some extent.
引文
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