A validation of the multivariate and minimum residual method for cloud retrieval using radiance from multiple satellites

Author:

Xu Dongmei,Auligné Thomas,Huang Xiang-Yu

Publisher

Springer Science and Business Media LLC

Subject

Atmospheric Science

Reference37 articles.

1. Auligné, T., 2007: Variational assimilation of infrared hyperspectral sounders data: Bias correction and cloud detection. Ph. D. thesis, University Paul Sabatier, 222 pp.

2. Auligné, T., A. Lorenc, Y. Michel, T. Montmerle, A. Jones, M. Hu, and J. Dudhia, 2011: Toward a new cloud analysis and prediction system. Bull. Amer. Meteor. Soc., 92, 207–210.

3. Auligné, T., 2014a: Multivariate minimum residual method for cloud retrieval. part I: Theoretical aspects and simulated observation experiments. Mon. Wea. Rev., doi: http://dx.doi.org/ 10.1175/MWR-D-13-00172.1 .

4. Auligné, T., 2014b: Multivariate minimum residual method for cloud retrieval. Part II: Real observations experiments. Mon. Wea. Rev., doi: http://dx.doi.org/ 10.1175/MWR-D-13-00173.1 , in press.

5. Aumann, H. H., and Coauthors, 2003: AIRS/AMSU/HSB on the Aqua mission: Design, science objectives, data products, and processing systems. IEEE Trans. Geosci. Remote Sens., 41, 253–264.

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