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Met Office to build £97 million supercomputer

October 30, 2014 By: Dr Search Principal Consultant at the Search Clinic Category: Cloud Computing, Computers, Customer Service, Dr Search, Search Clinic, Technology Companies, Uncategorized

The Met Office have been given £97 million to build a supercomputer to improve their weather forecasting and climate modelling.

Met Office to build £97 million supercomputerThe facility will work 13 times faster than the current system- enabling detailed UK wide forecast models with a resolution of 1.5 km to be run every single hour, rather than every three.

It will be built in Exeter during 2015 and become operational next September.

The Met Office said it would deliver a “step change” in forecast accuracy. It will allow us to add more precision, more detail, more accuracy to our forecasts on all time scales for tomorrow, for the next day, next week, next month and even the next century,” said Met Office chief executive Rob Varley.

As well as running UK-wide and global forecasting models more frequently, the new technology will allow particularly important areas to receive much more detailed assessment.

For example, forecasts of wind speeds, fog and snow showers could be delivered for major airports, with a spatial resolution of 300m.

The extra capacity will also be useful for climate scientists, who need massive amounts of computing power to run detailed models over much longer time scales.

It will address one of the key challenges of climate projections – to “answer the real questions people need to know”, said Mr Varley. “We can tell you that the global average temperature is going to increase by 3C or 4C if we carry on as we are – but the critical question is what is that going to mean for London?

But because the weather matters so much – to everything from whether to leave home with a brolly to preparing for closed runways at an airport – all eyes are on the Met Office, and the glances are not often positive.

The biggest failures have now entered the national vocabulary: Michael Fish’s denial of an approaching hurricane in 1987 and the infamous suggestion of a “barbecue summer” in 2009 when the reality proved relentlessly soggy.

The Met Office asserts that people never notice everyday successes, a gradual increase in reliability that has seen each decade allow the forecasts to reach another day into the future.

The new supercomputer should accelerate that process, crunching bigger numbers at a finer scale and more frequently than ever before. But it may also raise expectations about accuracy. And, in a country obsessed with the weather, that brings its own risks.

Mr Varley said he was “absolutely delighted” the government had confirmed its investment, which was first promised by the chancellor in the 2013 Autumn Statement.

The new system will be housed partly at the Met Office headquarters in Exeter and partly at a new facility in the Exeter Science Park, and will reach its full capacity in 2017.

At that point, its processing power will be 16 petaflops – meaning it can perform 16 quadrillion calculations every second.

The “Cray XC40” machine will have 480,000 central processing units or CPUs, which is 12 times as many as the current Met Office supercomputer, made by IBM. At 140 tonnes, it will also be three times heavier.

It marks the biggest contract the Cray supercomputing firm has secured outside the US.

“It will be one of the best high-performance computers in the world,” Science Minister Greg Clark told journalists at the announcement, adding that it would “transform the analytical capacity of the Met Office”.

Mr Clark said the supercomputer would put the UK, appropriately, at the forefront of weather and climate science. “It makes us world leaders not only in talking about the weather, but forecasting it too.”

The improved forecasts, according to the Met Office, could deliver an estimated £2 billion in socio-economic benefits, including more advance warning of floods, less air travel disruption, more secure decision-making for renewable energy investments, and efficient planning for the impacts of climate change.

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