Temperature profiling with neural network inversion of microwave radiometer data

JH Churnside, TA Stermitz… - Journal of Atmospheric …, 1994 - journals.ametsoc.org
JH Churnside, TA Stermitz, JA Schroeder
Journal of Atmospheric and Oceanic Technology, 1994•journals.ametsoc.org
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. Abstract A neural network is
used to obtain vertical profiles of temperature from microwave radiometer data. The overall …
Abstract
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.
Abstract
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.
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