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Author Park, Kyungjeen ♦ Kang, Younhee ♦ Kwak, Do Young
Source Directory of Open Access Journals (DOAJ)
Content type Text
Publisher Taylor & Francis Group
File Format PDF
Date Created 2014-07-09
Copyright Year ©2014
Language English
Subject Domain (in LCC) GC1-1581 ♦ QC851-999
Subject Keyword Multigrid methods ♦ Anthropology ♦ Meteorology ♦ Recreation ♦ Numerical weather prediction ♦ Geography ♦ Science ♦ Oceanography ♦ Physics ♦ Climatology ♦ Minimization procedure ♦ Variational data assimilation ♦ Cell centered finite difference
Abstract Two conditions are needed to solve numerical weather prediction models: initial condition and boundary condition. The initial condition has an especially important bearing on the model performance. To get a good initial condition, many data assimilation techniques have been developed for the meteorological and the oceanographical fields. Currently, the most commonly used technique for operational applications is the 3 dimensional (3-D) or 4 dimensional variational data assimilation method. The numerical method used for the cost function minimising process is usually an iterative method such as the conjugate gradient. In this paper, we use the multigrid method based on the cell-centred finite difference on the variational data assimilation to improve the performance of the minimisation procedure for 3D-Var data assimilation.
ISSN 02806495
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2014-07-01
e-ISSN 02806495
Journal Tellus: Series A, Dynamic Meteorology and Oceanography
Volume Number 66
Page Count 9
Starting Page 1
Ending Page 9


Source: Directory of Open Access Journals (DOAJ)