In the pantheon of HPC grand challenges, weather forecasting and long term climate simulation rank right up there with the most complex and computationally demanding problems in astrophysics, aeronautics, fusion power, exotic materials, and earthquake prediction, to name just a few. This special reports looks at how HPC takes on the challenge of global weather forecasting and climate research.
“Modern Numerical Weather prediction (NWP) can now use many thousands of cores in a single run of the application. By using modern CPUs such as the Intel Xeon processors and the Intel Xeon Phi coprocessors, tremendous performance and efficiency can be obtained. It is important to remember that many of the applications are written in Fortran and many of the contributors are domain experts, not parallel programming gurus.”
Today Cray announced that the Swiss National Supercomputing Centre (CSCS) has installed a Cray CS-Storm cluster supercomputer to power the operational numerical weather forecasts run by the Swiss Federal Office of Meteorology and Climatology (MeteoSwiss). This is the first time a GPU-accelerated supercomputer has been used to run production numerical weather models for a major national weather service.
Today Cray announced the Bureau of Meteorology in Australia has awarded the Company a contract worth up to $53 million to provide a Cray XC40 supercomputer and a Cray Sonexion 2000 storage system. This further strengthens Cray’s leadership position in the global operational weather and climate community, as an increasing number of the world’s leading centers rely on Cray supercomputers to run their complex meteorological and mission critical models.
A £30million computer used by the UK Met Office in the UK was able to accurately predict the size and path of a recent storm four days before it had taken shape.