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The terrible E1Niño strikes the globe every 2 to 7 years. As warm waters in the tropical(热带的) Pacific Ocean switch eastward and trade winds weaken the weather pattern stretches through the atmosphere, causing drought in southern Africa, wildfires in South America, and flooding on North America's Pacific coast. Climate scientists have struggled to predict El Niño events more than 1 year in advance, but artificial intelligence (AI) can now extend the latest forecasts to 18 months, according to a new study.

The new research uses a type of AI called a convolutional neural network(卷积神经网络), which is adept in recognizing images. Researchers feed the neural network a large number of training images and the AI becomes skilled at identifying fundamental patterns of those images. For example, the neural network can be trained to recognize cats in photos by identifying characteristics shared by all cats, such as hairs and four legs.

Part of the problem with earlier researches on El Niño forecasts is that they rely on a relatively small set of historical statistics for factors such as ocean temperature. To get around this shortage, the scientists fed the program re-creations of historic ocean conditions produced by a set of reliable climate models, ones frequently used for studies of climate change, says the study’s lead author, Yoo-Geun Ham, a climate scientist in South Korea. As a result, the scientists could show the computer system not just one set of actual historic data, lasting from 1871 to 1973, but several thousand reproductions of that same data by the climate models.

But it’s not clear how much real-world benefit will come from pushing forecasts beyond 1 year, cautions Stephen Zebiak, a climate scientist at Columbia University, “The kind of lead time that is actionable is probably less than a year because decision-makers are unlikely to take action further in advance,” he says.

1.What is the advantage of the latest AI forecasts?

A.Faster response. B.Higher accuracy

C.Wider application. D.Longer time range.

2.What does the underlined word “adept” probably mean?

A.Carefully-chosen. B.Well-trained.

C.Newly-developed. D.Wide-spread.

3.What is paragraph 3 mainly about?

A.Improvement on previous studies. B.Requirements for weather forecast.

C.Procedure for analyzing image data. D.Problems with early climate models.

4.What does Stephen Zebiak think of the new AI prediction?

A.It has unclear impacts. B.It calls for effective action.

C.It may not be of actual help. D.It should be treated with caution.

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