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- W1968860355 abstract "A 3‐stage sensitivity analysis approach, based on analysis of variances technique for calculating Sobol's global sensitivity indices and computationaly efficient Monte Carlo integration techniques is considered and applied to a large‐scale air pollurion model, the Danish Eulerian Model. On the first stage it is necessary to carry out a set of computationally expensive numerical experiments and to extract the necessary sensitivity analysis data. The output is used to construct mesh‐functions of ozone concentration ratios to be used in the next stages for evaluating the necessary variances. Here we use a specially adapted for the purpose version of the model, called SA‐DEM. It has been successfully implemented and run on the most powerful parallel supercomputer in Bulgaria—IBM Blue Gene/P. A more advanced version, capable of using efficiently the full capacity of this powerful supercomputer, is described in this paper, followed by some performance analysis of the numerical experiments. Another source of computational power for solving such a tuff numerical problem is the computational grid. That is why another version of SA‐DEM has been adapted to exploit efficiently the capacity of our Grid infrastructure. The numerical results from both the parallel and Grid implementation are presented, compared and analysed." @default.
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- W1968860355 date "2011-01-01" @default.
- W1968860355 modified "2023-10-03" @default.
- W1968860355 title "Advanced Sensitivity Analysis of the Danish Eulerian Model in Parallel and Grid Environment" @default.
- W1968860355 doi "https://doi.org/10.1063/1.3659924" @default.
- W1968860355 hasPublicationYear "2011" @default.
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