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地基微波遥感大气水汽总量的普适性回归反演
引用本文:吕达仁,魏重,忻妙新,等.地基微波遥感大气水汽总量的普适性回归反演[J].大气科学,1993,17(6):721-731.
作者姓名:吕达仁  魏重  忻妙新  
作者单位:中国科学院大气物理研究所,中国科学院大气物理研究所,中国科学院大气物理研究所,中国科学院系统科学研究所,中国科学院系统科学研究所 北京 100029,北京 100029,北京 100029
摘    要:本文利用不同季节、经纬度和海拔高度的历史探空资料为样本,用回归分析和岭回归分析相结合建立了适用于全球各地的双波长地基微波辐射计遥感晴空大气水汽总量的回归方程.多种数值检验表明,所提出的反演关系式的精度较高能提供实际应用.同时,将20.6和31.65GHz及22.2和35.0GHz两组频率对的结果作了比较.

关 键 词:微波遥感    水汽遥感    反演算法    岭回归    回归分析

A Universal Regressive Relationship for Ground-based Microwave Remote Sensing of Atmospheric Precipitable Water Vapor
Lu Daren,Wei Chong,Xin Miaoxin and et al.A Universal Regressive Relationship for Ground-based Microwave Remote Sensing of Atmospheric Precipitable Water Vapor[J].Chinese Journal of Atmospheric Sciences,1993,17(6):721-731.
Authors:Lu Daren  Wei Chong  Xin Miaoxin and
Abstract:Several universal equations to apply to all local places all over the world are obtained for ground-based dual-frequency microwave radiometer remote sensing the precipitable water in clear atmosphere by combining regression analysis and ridge regression techniques based on a set of a priori radiosonde data in typical seasons and at some stations typical of climate and sea level ele -vation. Many kinds of numerical testing for the resultant equations are conducted and the results show that the equations have much higher accuracies and can be put in practice. In addi -tion, the comparison of the results for the frequency-pair of 20.6 and 31.65 GHz to those of 22.2 and 35.0 GHz is given.
Keywords:Microwave remote sensing  Precipitable remote sensing  Retrieval method  Ridge regression  Regression analysis  
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