The quiet revolution of numerical weather prediction

被引:0
|
作者
Peter Bauer
Alan Thorpe
Gilbert Brunet
机构
[1] European Centre for Medium-Range Weather Forecasts,
[2] Shinfield Park,undefined
[3] Environment Canada,undefined
[4] Trans-Canada Highway Dorval,undefined
来源
Nature | 2015年 / 525卷
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摘要
Advances in numerical weather prediction represent a quiet revolution because they have resulted from a steady accumulation of scientific knowledge and technological advances over many years that, with only a few exceptions, have not been associated with the aura of fundamental physics breakthroughs. Nonetheless, the impact of numerical weather prediction is among the greatest of any area of physical science. As a computational problem, global weather prediction is comparable to the simulation of the human brain and of the evolution of the early Universe, and it is performed every day at major operational centres across the world.
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页码:47 / 55
页数:8
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