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- W2062409509 abstract "Abstract Principal components have been widely used in regression retrieval of atmospheric parameters, but when applied to water vapor concentrations their use entails special problems. We discuss two of these problem and present results of retrieval experiments designed to alleviate them. The experiments employed High-resolution Infrared Radiation Sounder satellite data in conjunction with radiosonde observations. We found that mixing ratio is a less appropriate parameter for principal component-based retrieval than is a mean-saturation adjusted mixing ratio. Also, retrieval accuracy was vapor by identifying the optimum numbers of eigenvectors to use when transforming the water vapor profiles and the satellite brightness temperature, respectively, into their principal components. In our studies three eigenvectors were optimal for representation of water vapor, implying that HIRS-2 data are capable of retrieving at least third-order vertical resolution in water vapor profiles. In addition, we compared pri..." @default.
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- W2062409509 date "1987-08-01" @default.
- W2062409509 modified "2023-09-24" @default.
- W2062409509 title "Retrieval of Water Vapor Profiles via Principal Components: Options and Their Implications" @default.
- W2062409509 doi "https://doi.org/10.1175/1520-0450(1987)026<1038:rowvpv>2.0.co;2" @default.
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