Symposium on Observations, Data Assimilation, and Probabilistic Prediction

1.10

Analysis of the singular vectors of the full-physics FSU Global Spectral Model

PAPER WITHDRAWN

Zhijin Li, JPL, Pasadena, CA; and I. M. Navon and M. Y. Hussaini

Analysis of singular vectors was performed on the Florida State University Global Spectral Model, and the linearization of the full physics model was used. It is demonstrated that physical processes, especially precipitation, fundamentally affect the leading SVs . When the SV perturbations are coupled with precipitation geographically, their growth rates increase substantially and their structures were changed profoundly. However, for those SVs which are geographically independent of precipitation, the physical processes display little impact in terms of both growth rates and structures. The impact of physics was characterized by localization.

It is shown that the spatial filtering along with the projection operator of projecting the flow winds to the rotational wind, which was designed as a simple initialization process, improves the structural features of SVs and is beneficial in the suppression of spurious modes.

Impact of the moisture physics on growth of first eigenvector is discussed and ways to deal with its growth are suggested.

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Session 1, Effective Assimilation of the Vast Observational Datasets Becoming Available
Monday, 14 January 2002, 9:30 AM-2:44 PM

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