MOSCOW, June 15. /TASS/. Russian scientists developed an AI algorithm to predict accurately extreme weather events in the Russian Arctic and to study storms and various medium-scale vortices. The development is about five times higher in resolution than global climate models, the MIPT Center for Scientific Communication reported.
"By having tracked mesoscale vortices and compared their lifecycle statistics with a benchmark, we have proven that the neural network captures key properties of polar mesocyclones. Results of our calculations demonstrate that the intensity of these hazards is reproduced realistically, which is important for applications such as wind power or maritime safety," the university's Center for Scientific Communication quoted leader of MIPT's Machine Learning Laboratory in Geosciences Mikhail Krinitsky as saying.
The climate and weather in the Arctic are changing very rapidly due to global warming, which also contributes to an increase in numbers of extreme weather events in the polar regions, the scientist and his colleagues said. This encourages scientists to create new tools and approaches to predicting such anomalies, as well as to studying big, medium and small vortices and storms that occur in Russia's circumpolar and polar regions.
