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Google has developed an AI-enhanced weather simulator that can accurately predict warming from climate change.<\/p>\n
A research team from the company published their findings in an article on Monday (22 July)<\/a>\u00a0sharing how the experimental NeuralGCM model looks at historical sea surface temperature<\/a> and sea-ice concentration to determine extended climate simulations. It has also been trained on 2.8\u00b0 and 1.4\u00b0 deterministic models.<\/p>\n The simulator can do the bread and butter of a weather forecast too, as it\u2019s been found to match or improve on existing predictions.<\/p>\n The hybrid model combines the strengths of traditional forecasts with machine learning and is believed to be the first of its kind to use this technology to make accurate predictions.<\/p>\n \u201cIt is also, to our knowledge, the first hybrid model that achieves comparable spatial bias to global cloud-resolving models, can simulate realistic tropical cyclone tracks and can run AMIP-like simulations with realistic historical temperature trends,\u201d writes the researchers behind the project.<\/p>\n For further climate projection, NeuralGCM will be reformulated to include other components like ocean and land and data from greenhouse gasses and aerosols.<\/p>\n While the current research is focused on generalizations, the team notes how the hybrid modeling approach of NeuralGCM has the \u201cpotential to transform simulation for a wide range of applications, such as materials discovery, protein folding and multiphysics engineering design.\u201d<\/p>\n The model will be expanded on in the future as the researchers are working on a new feature that could generate year-ahead hurricane predictions<\/a>. This would allow for greater preparation measures to be taken if extreme weather is known about with better accuracy.<\/p>\nGoogle\u2019s hybrid AI weather simulator could predict hurricanes in the future<\/b><\/h2>\n