Testing the accuracy of a data assimilation algorithm

被引：2
|
作者：
Zlatev, Z. [1 ]
Brandt, J. [1 ]
机构：
[1] Aarhus Univ, Natl Environm Res Inst, Frederiksborgvej 399,POB 358, DK-4000 Roskilde, Denmark
来源：
INTERNATIONAL JOURNAL OF COMPUTATIONAL SCIENCE AND ENGINEERING | 2007年 / 3卷 / 04期
关键词：
air pollution models; data assimilation; numerical algorithms; ordinary differential equations; ODEs; partial differential equations; splitting techniques;
D O I：
10.1504/IJCSE.2007.018270
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Variational data assimilation techniques have been successfully used in connection with comprehensive research projects in different fields of science and engineering. The use of the variational data assimilation approach is becoming more and more popular also in the attempts to improve the accuracy of the results obtained by running large-scale air pollution models. Different tests were carried out in order both to check the ability of the data assimilation procedures to improve the initial concentrations and to start building up a benchmark for testing the performance of these procedures on different modern high-speed computers. Selected results from these tests will be presented and discussed in this paper.
引用
收藏
页码：305 / 313
页数：9
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