地基微波辐射计遥感大气廓线的BP神经网络反演方法研究

刘亚亚;毛节泰;刘钧;李峰

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高原气象 ›› 2010, Vol. 29 ›› Issue (6) : 1514-1523.
论文

地基微波辐射计遥感大气廓线的BP神经网络反演方法研究

  • 刘亚亚;毛节泰;刘钧;李峰
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摘要

讨论了12通道地基微波辐射计遥感反演温度、 相对湿度和云液态水廓线的BP神经网络反演方法, 利用探空资料, 对北京春、 夏、 秋、 冬四个季节的大气廓线进行神经网络训练, 并对训练好的网络的反演能力进行数值检验, 分析了反演精度; 对北京南郊观象台12通道微波辐射计的观测亮温资料进行实际反演, 结果表明, 神经网络(BPNN)反演的廓线与微波辐射计自带RadiomeNN的相比更加接近实际。

Abstract

It is discussed that the method of remote sensing retrieval of temperature, relative humidity and cloud liquid water profiles from 12\|channel ground\|based microwave radiometer by BP neural network, which is on the basis ofsounding data, training the neural network with atmospheric profiles in four seasons, testingand analizingthe accuracy of the network. Finally, the results of retrieval with southern suburb of Beijing of 12\|channel microwave radiometer data show that: With only a few training cases, the retrieval method BPNN referredin this article is more realistic than that of the microwave radiometer.

关键词

微波辐射计 / BP神经网络 / 温度廓线 / 相对湿度廓线 / 云液态水廓线

Key words

Microwave radiometer / BP neural network / Temperature profile / Relative humidity pr / Cloud liquid water p

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刘亚亚;毛节泰;刘钧;李峰. 地基微波辐射计遥感大气廓线的BP神经网络反演方法研究. 高原气象. 2010, 29(6): 1514-1523

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