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Russian Journal of Numerical Analysis and Mathematical Modelling

Editor-in-Chief: Dymnikov, Valentin P. / Kuznetsov, Yuri

Managing Editor: Vassilevski, Yuri V.

Editorial Board: Agoshkov, Valeri I. / Amosov, Andrey A. / Kaporin, Igor E. / Kobelkov, Georgy M. / Mikhailov, Gennady A. / Repin, Sergey I. / Shaidurov, Vladimir V. / Shokin, Yuri I. / Tyrtyshnikov, Eugene E.

6 Issues per year


IMPACT FACTOR 2017: 0.662

CiteScore 2017: 0.71

SCImago Journal Rank (SJR) 2017: 0.302
Source Normalized Impact per Paper (SNIP) 2017: 0.929

Mathematical Citation Quotient (MCQ) 2017: 0.13

Online
ISSN
1569-3988
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Volume 22, Issue 2

Issues

On error covariances in variational data assimilation

I. Gejadze
  • Department of Civil Engineering, University of Strathclyde, 107 Rottenrow, Glasgow, G4 ONG, UK
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ F.-X. Le Dimet
  • MOISE project (CNRS, INRIA, UJF, INPG); LMC-IMAG, Université Joseph Fourier, BP 51, 38051 Grenoble Cedex 9, France
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ V. Shutyaev
Published Online: 2007-05-31 | DOI: https://doi.org/10.1515/RJNAMM.2007.008

The problem of variational data assimilation for a nonlinear evolution model is formulated as an optimal control problem to find the initial condition function. The equation for the error of the optimal solution (analysis) is derived through the statistical errors of the input data (background and observation errors). The numerical algorithm is developed to construct the covariance operator of the analysis error using the covariance operators of the input errors. Numerical examples are presented.

About the article

Published Online: 2007-05-31

Published in Print: 2007-05-23


Citation Information: Russian Journal of Numerical Analysis and Mathematical Modelling rnam, Volume 22, Issue 2, Pages 163–175, ISSN (Online) 1569-3988, ISSN (Print) 0927-6467, DOI: https://doi.org/10.1515/RJNAMM.2007.008.

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