Special Report, Health, Americas

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Asmqzwl
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Digital computing, however, changed everything. Just consider meteorology, the scientific study of atmosphere and weather. Computer advancements allowed meteorologists to move beyond mere observation-based predictions and implement numerical weather prediction (NWP) models, in which computers pull past and present atmospheric data to construct predictive models of future weather. The science of weather prediction is far from perfect, but better equations, more powerful computers and a widening array of atmospheric data sets continue to improve the accuracy of our simulations. But can we really simulate the world itself? To find out, we have to travel the waters of big data. In the case of weather simulations, the computer models require an expansive diet of both past and present atmospheric readings -- everything from the temperature in Aberdeen, Scotland, to Earth's current distance from the sun. It all comes together to form a more complete picture of the world's weather. Humans have amassed vast collections of data on a range of topics, yet in most cases these data sets stand apart from one another.




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