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Research at NCAR on the Topics of Data Assimilation Singular Vector Analysis, and Some General Adjoint Applications.

机译:NCaR关于数据同化奇异向量分析和一些一般伴随应用的研究。

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Long Term Goals. This proposal covers some broad topics that are of mutual interest to scientists at NCAR and NRL Monterey. The research topics include aspects of data assimilation, singular vector analysis, and more general adjoint model development and applications. The work is being coordinated with NRL staff so as to augment, rather than duplicate, what is being done by them. The emphasis at NCAR will be on fundamental aspects of the problems, including, but not limited to: characterization of error statistics and implications of non-normal distributions, development of appropriate mesoscale balance conditions, development of norms that measure moisture for defining singular vectors, and parameterization of model Jacobians for efficient and effective tangent linear and adjoint calculations. Much of what is done is instructional. The support provided by ONR augments work being performed at NCAR and allows continuation of extensive collaborations between the P.I. and NRL staff.

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