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Deep Thunder is a research project by IBM that aims to improve short-term local weather forecasting through the use of high-performance computing. It is part of IBM's ''Deep Computing'' initiative that also produced the Deep Blue chess computer. Deep Thunder is intended to provide local, high-resolution weather predictions customized to weather-sensitive specific business operations. For example, it could be used to predict the wind velocity at an Olympic diving platform, or where there will be flooding or damaged power lines in up to 84 hours in advance. The project is now headquartered at IBM's Thomas J. Watson Research Center in Yorktown Heights, New York. == History == The Deep Thunder project is headed by Lloyd Treinish, who joined IBM in 1990, after working for 12 years at NASA's Goddard Space Flight Center. The project began in 1995 as an outgrowth from a project designed to help provide accurate weather forecasts for the 1996 Atlanta Olympic Games. In collaboration with the National Oceanic and Atmospheric Administration, IBM scientists built one of the first parallel processing supercomputers to be used for weather modeling, based on the IBM RS/6000 SP. It was installed at the National Weather Service office in Peachtree City, Georgia in 1996, where it ran for several months and produced multiple forecasts daily. After a few years of development, the team set up an implementation in New York City in 2001 to test the project. The group is currently working on establishing the Rio de Janeiro operations center. The name Deep Thunder arose after the IBM Deep Blue system played and defeated the world chess champion Garry Kasparov in May, 1997. In the following November, a journalist used the name Deep Thunder in an article, which stuck with the developers.〔 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「IBM Deep Thunder」の詳細全文を読む スポンサード リンク
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