Testing the accuracy of a data assimilation algorithm
by Z. Zlatev, J. Brandt
International Journal of Computational Science and Engineering (IJCSE), Vol. 3, No. 4, 2007

Abstract: 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.

Online publication date: Wed, 14-May-2008

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Science and Engineering (IJCSE):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com