Researchers at NYU Abu Dhabi have developed a new algorithm that can predict Arctic sea ice levels up to nine months in advance, offering a less complex way to forecast changes that could have wider implications for the global climate.
Developed by the university’s Mubadala Arabian Centre for Climate and Environmental Sciences (ACCESS), the algorithm, known as the Random Analogue Predictor (RAP), analyzes historical sea ice data to identify patterns similar to current conditions…
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