Performance Evaluation of WRF Meteorology Model in Parallel Processing Systems

Parallel processing and distributed systems, have efficient role in different sciences such as meteorology, medicine, nuclear, physics, chemistry, etc. These sciences need parallel processing systems based on cluster to solve and run their algorithms with a higher speed. Some tools and models exist for parallel programming such as shared memory, message passing, oriented model, hybrid model, java, but message passing by MPI library plays an essential role in cluster systems. In this paper, we have presented WRF model with a message passing interface. We have implemented parallel algorithm of this model in a real cluster and evaluated the results in comparison with different forecasting models. Experimental results demonstrated that by increasing the number of processors to 24, run time decreases from 2500 seconds to 600 seconds, however the performance decrease to 17%.

کلیدواژه ها:

Cluster ، Interface WRF model ، Parallel Processing ، Message Passing ، Meteorology