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A novel Artificial Intelligence (AI) tool that can help accurately forecast Arctic sea ice conditions has been developed.

A novel Artificial Intelligence (AI) tool that can help accurately forecast Arctic sea ice conditions has been developed. The AI system, IceNet, addresses the challenge of producing accurate Arctic sea ice forecasts for the season ahead -- something that has eluded scientists for decades. A team of researchers led by British Antarctic Survey (BAS) and The Alan Turing Institute have described IceNet in the journal Nature Communications. Sea ice, a vast layer of frozen sea water that appears at the North and South poles, is notoriously difficult to forecast because of its complex relationship with the atmosphere above and ocean below.

These accelerating changes have dramatic consequences for our climate, for Arctic ecosystems, and indigenous and local communities whose livelihoods are tied to the seasonal sea ice cycle.

IceNet -- the AI predictive tool -- is almost 95 per cent accurate in predicting whether sea ice will be present two months ahead.

IceNet has been designed based on a concept called deep learning. Photo by Willian Justen de Vasconcellos on Unsplash

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Photo by Filip Gielda on Unsplash

Greenland ice summit , a research facility observed rains for the first time in history.

The world's largest island, Greenland, located between the Arctic and the Antarctic oceans has received rainfall in greenland ice summit, the entirely snow-covered peak for the first time in history.

The place, covered with permanent ice-sheets for about three-quarters of its surface has been increasingly falling under serious threats due to the change in climatic conditions. Last week Saturday, for the first time ever in history, Greenland's Summit did not receive snow, but it received rainfall.

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