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Original Research Papers

A nonlinear preconditioned quasi-Newton method without inversion of a first-guess covariance matrix in variational analyses

Authors:

Yosuke Fujii ,

Oceanographic Research Department, Meteorological Research Institute, Nagamine 1-1, Tsukuba 305-0052, JP
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Masafumi Kamachi

Oceanographic Research Department, Meteorological Research Institute, Nagamine 1-1, Tsukuba 305-0052, JP
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Abstract

Aquasi-Newton method developed for adopting a non-diagonal first-guess covariance matrix in nonlinearvariational analyses (i.e. variational analyses adopting a non-quadratic cost function) is presented.As an example, we also show the effect of the nonlinear relationship between temperature and seasurfaceheight in three-dimensional variational ocean analyses.

How to Cite: Fujii, Y. and Kamachi, M., 2003. A nonlinear preconditioned quasi-Newton method without inversion of a first-guess covariance matrix in variational analyses. Tellus A: Dynamic Meteorology and Oceanography, 55(5), pp.450–454. DOI: http://doi.org/10.3402/tellusa.v55i5.12110
  Published on 01 Jan 2003
 Accepted on 28 Apr 2003            Submitted on 22 Apr 2002

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