基于MWP967KV辐射计的微波辐射反演方法研究
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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.
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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[9]盛裴轩,毛节泰,李建国,等.大气物理学[M].北京:北京大学出版社,2006.
[10]黄兴友,张曦,冷亮,等.基于MonoRTM模型的微波辐射计反演方法研究[J].气象科学,2013,33(02):138-145.
[11]FRATE F D,SCHIAVON G.A combined natural orthogonal functions/neural network technique for the radiometric estimation of atmospheric profiles[J].Radio Science,1998,33(2):405-410.
[12]郑高峰.带动量项的的BP神经网络收敛性分析[D].大连:大连理工大学,2005.
[13]王芳,刘军,谢克明.利用子群体迁徙的思维进化算法设计[J].中北大学学报(自然科学版),2011,32(03):303-308.
[2]侯叶叶,刘红艳,鲍艳松.地基微波辐射计反演水汽密度廓线精度分析[J].气象科技,2016,44(05):702-709,721.
[3]雷连发,卢建平,朱磊,等.多通道地基微波辐射计大气遥感[J].遥感学报,2014,18(01):180-191.
[4]谭泉,姚志刚,赵增亮,等.机载微波辐射计大气温湿廓线反演性能分析[J].气象水文海洋仪器,2014,31(02):5-11.
[5]ULABY F T,MOORE R K,FUNG A K.Microwave remote sensing:active and passive[J].Photogrammetria,1983,38(6):227-228
[6]LIEBE H J.MPM-An atmospheric millimeter-wave propagation model[J].International Journal of Infrared and Millimeter Waves,1989,10(6):631-650.
[7]TURNER D D,Clough S A,Liljegren J C,et al.Retrieving liquid water path and precipitable water vapor from the atmospheric radiation measurement(ARM)microwave radiometers[J].IEEE Transactions on Geoscience and Remote Sensing,2007,45(11):3680-3690.
[8]WANG Z,LI Q,HU F,et al.Remote sensing of lightning by aground-based microwave radiometer[J].Atmospheric Research,2014,150:143-150.
[9]盛裴轩,毛节泰,李建国,等.大气物理学[M].北京:北京大学出版社,2006.
[10]黄兴友,张曦,冷亮,等.基于MonoRTM模型的微波辐射计反演方法研究[J].气象科学,2013,33(02):138-145.
[11]FRATE F D,SCHIAVON G.A combined natural orthogonal functions/neural network technique for the radiometric estimation of atmospheric profiles[J].Radio Science,1998,33(2):405-410.
[12]郑高峰.带动量项的的BP神经网络收敛性分析[D].大连:大连理工大学,2005.
[13]王芳,刘军,谢克明.利用子群体迁徙的思维进化算法设计[J].中北大学学报(自然科学版),2011,32(03):303-308.