Parallel Implementation of Two Level Barotropic Models Applied to the Weather Prediction Problem
Forecasting model for short range weather prediction that is used here is the two level Barotropic models. This model is used because it can give approximation of air conditions covering higher isobar levels. By using finite difference approximation, quasigeostrophic vorticity equations and therm...
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| 主要作者: | |
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| 格式: | Thesis |
| 語言: | English English |
| 出版: |
2004
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| 主題: | |
| 在線閱讀: | http://psasir.upm.edu.my/id/eprint/336/1/549609_T_FS_2004_4.pdf |
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| 總結: | Forecasting model for short range weather prediction that is used here is the two
level Barotropic models. This model is used because it can give approximation of air
conditions covering higher isobar levels. By using finite difference approximation,
quasigeostrophic vorticity equations and thermodynamic equations are used to
develop forecasting equations for each level. The forecasting equation for
determining the geopotential heights can be solved by using suitable lateral
conditions. In relation to the conformal map, the quasigeostrophic equations are
modified by using a formula. These equations are then transformed into finite
difference equation. This can be achieved by using grids chosen from the mesh scale.
Then, the system of equations is solved using Gauss Seidel method.
To process the data collected from British Atmospheric Data Centre (BADC), the
sequential programs in row and columnwise fashions are developed and
implemented. Then the parallel algorithms are constructed and run using the Beowulf
Cluster machine. The numerical results based on the sequential and parallel
algorithms for both row and columnwise fashions are presented and compared to determine their performance. |
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