Beth Wingate from the University of Exeter presented this talk at the PASC16 conference in Switzerland. “For weather or climate models to achieve exascale performance on next-generation heterogeneous computer architectures they will be required to exploit on the order of million- or billion-way parallelism. This degree of parallelism far exceeds anything possible in today’s models even though they are highly optimized. In this talk I will discuss the mathematical issue that leads to the limitations in space- and time-parallelism for climate and weather prediction models – oscillatory stiffness in the PDE.”
“Weather prediction using high performance computing relies on having physically based models of the atmosphere that can deliver forecasts well in advance of the weather actually happening. ECMWF has embarked on a scalability program together with the NWP and climate modeling community in Europe. The talk will give an overview of the principles underlying numerical weather prediction as well as a description of the HPC related challenges that are facing the NWP and climate modeling communities today.”
Global efforts to bring about crucial improvements in supercomputing efficiency and energy usage were placed center stage this week as the European Centre for Medium-Range Weather Forecasts (ECMWF) welcomed users and vendors from around the world to London for the Cray User Group 2016 conference.
In this video, technicians install a new supercomputer at UK Met Office. The Met Office is the National Weather Service for the UK, providing internationally-renowned weather and climate science and services to support the public, government and businesses.
Allinea Software reports that the company is helping weather and climate researchers to adapt advanced weather models to better exploit today’s technology capability and get ready for future platforms. The company will address leading climatologists and meteorologists on best practices for scalable code development April 6-7 at the 4th ENES HPC Workshop. The session will reference the application of Allinea’s tools across over 20 weather and climate customers worldwide.
Today Cray announced a contract to upgrade the supercomputers at Germany’s National Meteorological Service – the Deutscher Wetterdienst (DWD). Located in Offenbach, Germany, DWD is one of the world’s premier numerical weather prediction centers. “Supercomputers are absolutely vital to our mission of providing important meteorological services for the protection of life and property,” said. Dr. Jochen Dibbern, Member of the Executive Board at DWD. “Our Cray supercomputers are critical tools for our researchers and scientists, and it’s imperative that we equip our users with highly advanced supercomputing technologies.”
A recent study conducted by the Barcelona Supercomputer Center suggests that calibrated model ensembles improve the trustworthiness of climate event attribution to extreme weather events. The study also found that current climate model limitations tend to overestimate climate change attribution.
Today Cray announced a $36 million contract to upgrade and expand the Cray XC supercomputers and Cray Sonexion storage system at the European Centre for Medium-Range Weather Forecasts (ECMWF). When the project is completed, the enhanced systems will allow the world-class numerical weather prediction and research center to continue to drive improvements in its highly-complex models to provide more accurate weather forecasts.
Today NOAA reported a nearly four-fold increase in computing capacity to innovate U.S. forecasting in 2016. NOAA’s Weather and Climate Operational Supercomputer System is now running at record speed, with the capacity to process and analyze earth observations at quadrillions of calculations per second to support weather, water and climate forecast models. This investment to advance the field of meteorology and improve global forecasts secures the U.S. reputation as a world leader in atmospheric and water prediction sciences and services.
Data accumulation is just one of the challenges facing today weather and climatology researchers and scientists. To understand and predict Earth’s weather and climate, they rely on increasingly complex computer models and simulations based on a constantly growing body of data from around the globe. “It turns out that in today’s HPC technology, the moving of data in and out of the processing units is more demanding in time than the computations performed. To be effective, systems working with weather forecasting and climate modeling require high memory bandwidth and fast interconnect across the system, as well as a robust parallel file system.”