Numerical Effects of the Gaussian Recursive Filters in Solving Linear Systems in the 3Dvar Case Study. Issue 3 (20th June 2017)

• Record Type: Journal Article
• Authors: Cuomo, Salvatore; Galletti, Ardelio; Giunta, Giulio; Marcellino, Livia
• Is Part Of: Numerical mathematics. Volume 10:Issue 3(2017)
• Page Start: 520
• Page End: 540
• Publication Date: 2017-06-20
• Subjects: 65G20, -- 65Y04, -- 62H99; Data assimilation, -- recursive filters, -- Gaussian convolution, -- perturbation analysis; Numerical analysis -- Periodicals; Numerical analysis; Periodicals; 518.05
• DOI: 10.4208/nmtma.2017.m1528
• Languages: English
• ISSNs: 1004-8979

Abstract

Abstract: In many applications, the Gaussian convolution is approximately computed by means of recursive filters, with a significant improvement of computational efficiency. We are interested in theoretical and numerical issues related to such an use of recursive filters in a three-dimensional variational data assimilation (3Dvar) scheme as it appears in the software OceanVar. In that context, the main numerical problem consists in solving large linear systems with high efficiency, so that an iterative solver, namely the conjugate gradient method, is equipped with a recursive filter in order to compute matrix-vector multiplications that in fact are Gaussian convolutions. Here we present an error analysis that gives effective bounds for the perturbation on the solution of such linear systems, when is computed by means of recursive filters. We first prove that such a solution can be seen as the exact solution of a perturbed linear system. Then we study the related perturbation on the solution and we demonstrate that it can be bounded in terms of the difference between the two linear operators associated to the Gaussian convolution and the recursive filter, respectively. Moreover, we show through numerical experiments that the error on the solution, which exhibits a kind of edge effect, i.e. most of the error is localized in the first and last few entries of the computed solution, is due to the structure of the difference of the two linear operators.