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Regularization Methods for Estimating the Effects of KFE on Satellite Temperature Retrievals

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Atmospheric Radiation

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Abstract

The effects of the kernel function error (KFE) on satellite temperature retrievals have been carried out by using Tikhonov-Twomey and Bayes methods for the theoretical study. The comparisons show that the Bayes method has a better results than Tikhonov-Twomey. The systematic and random errors arising from KFE are analyzed. The KFE that is propagated into the solutions is mainly in the form of biased (systematic) errors, and is the inherent cause of instability in inverse problems. In general, the effect of the KFE on the accuracy of the temperature profiles can be estimated, and also can be removed by using a proper algorithm.

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Literatur

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Author information

Authors and Affiliations

  1. Satellite Meteorology Center, SMA, Beijing, China

    Li Guangqing & Dong Chaohua

Authors
  1. Li Guangqing
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  2. Dong Chaohua
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Editor information

Editors and Affiliations

  1. University of Utah, USA

    Kuo-Nan Liou

  2. State Meteorological Administration, China

    Zhou Xiuji

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© 1987 American Meteorological Society

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Guangqing, L., Chaohua, D. (1987). Regularization Methods for Estimating the Effects of KFE on Satellite Temperature Retrievals. In: Liou, KN., Xiuji, Z. (eds) Atmospheric Radiation. American Meteorological Society, Boston, MA. https://doi.org/10.1007/978-1-935704-18-8_50

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  • DOI: https://doi.org/10.1007/978-1-935704-18-8_50

  • Publisher Name: American Meteorological Society, Boston, MA

  • Online ISBN: 978-1-935704-18-8

  • eBook Packages: Springer Book Archive

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