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Implementation of the WRF-ARW prognostic model on the Grid

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  • Meteorology And Climatology
  • Computing
  • Ecology


The numerical weather prediction models demand large execution time and resource allocation ; therefore we need large parallel computation facilities, like the grid systems, in order to execute them. In this paper the implementation of the Advanced Weather Research and Forecasting (WRF-ARW) model on the SEEGRID-SCI grid infrastructure is presented. The goal of porting the model to the grid is to get more accurate and detailed forecast with operational speed-up on high-resolution model grids. The results and the application of the WRF-ARW model on the Grid will be shown in the example of the bora winds simulations over the Adriatic coast. We have achieved significant progress in accelerating the model execution and simplicity of starting jobs on the grid. In our researches we have found that the benefits are not only in the reduced execution time (up to 30% for large enough number of CPUs) but also in the simultaneous runs of the same model. This is especially important in the research activities when many similar jobs can be executed simultaneously. We have achieved a great success in porting the WRF-ARW model to the grid and the improvements gained through deployment of the model increase the support and feasibility of new projects in the area of the SEE-GRID-SCI infrastructure and Earth Science community. The implementation of the WRF-ARW model on the grid infrastructure increases scientific research in regional scale particularly in the field of ecology

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