Cheyenne Supercomputer To Predict US Weather In 2017

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Though mankind has made enough progress in the field of IT and technology. But there is always a place for betterment. Yellowstone current NCAR supercomputer, in Wyoming is currently the fastest working supercomputer. But by 2017 Cheyenne supercomputer will replace Yellowstone as the fastest computer that will be capable of predicting weather conditions in US in a more advanced way.

Cheyenne supercomputer will be around 100,000 times faster than a simple home computer. Cheyenne will be at least 2 1/2 times faster than yellowstone. It will have the ability to make 5.3 quadrillion calculations, or petaflops, per second. Thats incredibly fast.

How Will It Be Different And Helpful

Now the question arises that in what regard it will provide assistance to the weather researchers in US. Its 2.5 times more power makes it capable of displaying weather conditions in higher resolution and images will be clearer with higher density of pixels. Likewise a stronger telescope will probe into far off galaxies more clearly.

The supercomputer will start working early next year hopefully. With all other specifications, the supercomputer will consume 90% more electricity than the current NCAR supercomputer, Yellowstone.

What NCAR new release say about the latest technology, “The new machine will help scientists lay the groundwork for improved predictions of a range of phenomena, from hour-by-hour risks associated with thunderstorm outbreaks to the timing of the 11-year solar cycle and its potential impacts on GPS and other sensitive technologies,”

Senior meteorologist Nick Wiltgen talk about weather predictions and advanced technology in an interview. He said, “When the idea of using numerical calculations to forecast weather was first hatched, there were no electronic computers, and even a crude forecast would have taken so long to make that the weather would have happened before the calculations were finished,”

“Supercomputers have enabled us to make those calculations fast enough to actually use the simulations as real-time forecasts. As those computers get even faster and do more calculations in the same amount of time, we can devote more computing power to improving the geographic detail of the forecasts, improving their ability to model complex phenomena like severe thunderstorms, and extending the forecasts farther into the future.”

The super device will be made by Milpitas, California-based Silicon Graphics International Corp.