• Subscribe

For a weather-ready nation: NOAA's supercomputers

Speed read
  • NOAA adds two new supercomputers, Luna and Surge.
  • NOAA's forecast modeling power increases 7x with this latest addition.
  • The computing boost paves the way for many other NOAA forecasting upgrades.
  • Improved forecasting enables communities to make better decisions.

The US National Oceanic and Atmospheric Administration (NOAA) is on a mission to understand and predict changes in the Earth's environment so that we can better conserve and manage our coastal and marine resources. To serve that end, 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.

<strong>New kids on the block.</strong> Supercomputers Luna and Surge have increased NOAA computing ability to 5.78 petaFLOPS. This additional computing capacity means more lead time in storm prediction. Courtesy NOAA.

The computers — called Luna and Surge — are located at computing centers in Reston, Virginia and Orlando, Florida.

They are now running at 2.89 petaFLOPS each, for a new total of 5.78 petaFLOPS of operational computing capacity, up from 776 teraFLOPS of processing power last year. 

Supercomputing surge

The increase in supercomputing capacity comes via a $44.5 million (€39.8 million) investment using NOAA's operational high performance computing contract with IBM, $25 million (€22 million) of which was provided through the Disaster Relief Appropriations Act of 2013 related to the consequences of Hurricane Sandy.

“This significant investment in our operational supercomputers equips us to handle the tidal wave of data that new observing platforms will generate and allows us to push our science and operations into exciting new territory,” says Kathryn Sullivan, NOAA’s administrator. 

This investment to advance the field of meteorology and improve global forecasts secures the US reputation as a world leader in atmospheric and water prediction sciences and services.

The increase in supercomputing strength will allow NOAA to roll out a series of operational model upgrades throughout 2016. For example:

  • Upgrades to the High Resolution Rapid Refresh (HRRR) model will help meteorologists predict the amount, timing and type of precipitation in winter storms and the timing, location, and structure of severe thunderstorms.
  • Implementation of a new National Water Model will expand the National Weather Service’s current water quantity forecasts 700-fold.
  • Upgrades to the Hurricane Weather Research and Forecasting (HWRF) model will mark the first time NOAA models have had direct connections between the air, ocean, and waves to improve forecasts of hurricane tracks and intensity. 

Sullivan says the ultimate goal of investment in operational and research supercomputing capacity is to build resilient communities in the US. By arming people with reliable environmental intelligence to make good decisions, NOAA is working to build a weather-ready nation.

“The faster runs and better spatial and temporal resolution that Luna and Surge provide will allow NOAA to improve our environmental intelligence dramatically, giving the public faster and better predictions of weather, water, and climate change,” says Sullivan. “This enhanced environmental intelligence is vital to supporting the nation’s physical safety and economic security.”

Join the conversation

Do you have story ideas or something to contribute?
Let us know!

Copyright © 2017 Science Node ™  |  Privacy Notice  |  Sitemap

Disclaimer: While Science Node ™ does its best to provide complete and up-to-date information, it does not warrant that the information is error-free and disclaims all liability with respect to results from the use of the information.

Republish

We encourage you to republish this article online and in print, it’s free under our creative commons attribution license, but please follow some simple guidelines:
  1. You have to credit our authors.
  2. You have to credit ScienceNode.org — where possible include our logo with a link back to the original article.
  3. You can simply run the first few lines of the article and then add: “Read the full article on ScienceNode.org” containing a link back to the original article.
  4. The easiest way to get the article on your site is to embed the code below.