Machine Learning and Artificial Intelligence to Advance Earth System Science
National Academies of Sciences, Engineering, and Medicine, Division on Engineering and Physical Sciences, Division on Earth and Life Studies, Board on Earth Sciences and Resources, Ocean Studies Board, Board on Atmospheric Sciences and Climate, Computer Science and Telecommunications Board, Board on Mathematical Sciences and AnalyticsThe Earth system - the atmospheric, hydrologic, geologic, and biologic cycles that circulate energy, water, nutrients, and other trace substances - is a large, complex, multiscale system in space and time that involves human and natural system interactions. Machine learning (ML) and artificial intelligence (AI) offer opportunities to understand and predict this system. Researchers are actively exp...
The Earth system - the atmospheric, hydrologic, geologic, and biologic cycles that circulate energy, water, nutrients, and other trace substances - is a large, complex, multiscale system in space and time that involves human and natural system interactions. Machine learning (ML) and artificial intelligence (AI) offer opportunities to understand and predict this system. Researchers are actively exp...
