TEMPERATURE PROFILING WITH NEURAL-NETWORK INVERSION OF MICROWAVE RADIOMETER DATA

被引：0
|
作者：
CHURNSIDE, JH
STERMITZ, TA
SCHROEDER, JA
机构：
来源：
JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY | 1994年 / 11卷 / 01期
关键词：
D O I：
10.1175/1520-0426(1994)011<0105:TPWNNI>2.0.CO;2
中图分类号：
P75 [海洋工程];
学科分类号：
0814 ; 081505 ; 0824 ; 082401 ;
摘要：
A neural network is used to obtain vertical profiles of temperature from microwave radiometer data. The overall rms error in the retrieved profiles of a test dataset was only about 8% worse than the overall error using an optimized statistical retrieval. In certain cases, such as one with a large temperature inversion. the neural network produced better reproductions of the profiles than did the statistical inversion.
引用
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页码：105 / 109
页数：5
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