ИСТИНА

Huge computer resources needed to promptly compute the 24-h global weather forecast dictate the necessity to optimize the numerical algorithms of the model and their parallel implementation.We present someexperience gained while implementing the new high-resolution version of the SL-AV global atmosphere model for numerical weather prediction at parallel systems with many thousands of processor cores. Unlike our previous scalability studies, we need to minimize the elapsed time of the forecast at given processor cores number which is currently about 4000. The results of optimizations are shown for two Roshydromet highperformance computer systems.