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Fine-Grid Resolution in Danish Eulerian Model and an Implementation on SGI Origin 2000 Computer

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Large-Scale Scientific Computing (LSSC 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2179))

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Abstract

The transboundary transport of air pollutants and the chemical transformations during the transport (including here the photochemical reactions) are still causing great problems in the modern society. It is expected that this problem will become even more important in the near future. Therefore, the possibility to know in advance some typical situations with at least the most dangerous air pollutants (e.g. ozone) is of great interest of the environmental specialists and decision makers. In order to estimate the situation and take efforts to reduce the air pollution to some acceptable levels the output results of the air pollution models have to be obtained in real time (operational), over an appropriate scale and be as reliable as possible.

Results that are obtained by using fine grid resolution of 10km. in the Danish Eulerian Model, i.e. when the space domain is discretized by using a (480x480) grid, and the number of the chemical compounds is 35, are discussed in this paper. A parallel version of the model for shared memory parallel computers with an Open MP installation was used for the experiments with real data on an SGI Origin 2000 computer with up to 16 processors available. One can find short description of the mathematical model, the splitting procedure and the numerical techniques used.

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Georgiev, K., Zlatev, Z. (2001). Fine-Grid Resolution in Danish Eulerian Model and an Implementation on SGI Origin 2000 Computer. In: Margenov, S., Waśniewski, J., Yalamov, P. (eds) Large-Scale Scientific Computing. LSSC 2001. Lecture Notes in Computer Science, vol 2179. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45346-6_28

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  • DOI: https://doi.org/10.1007/3-540-45346-6_28

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43043-8

  • Online ISBN: 978-3-540-45346-8

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