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  • title: AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learning
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            AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learning
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            AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learning

            Dec 15, 2023

            Speakers

            CL

            Christian Lessig

            Speaker · 0 followers

            IL

            Ilaria Luise

            Speaker · 0 followers

            MS

            Martin Schultz

            Speaker · 0 followers

            About

            AtmoRep is a novel, task-independent stochastic computer model of atmospheric dynamics inspired by the concept of foundation models in natural language processing, like the GPT line or PalmX, applied in the context of Earth system science. The main innovative aspect consists in the fact that the model can skillfully solve scientific tasks it was not specifically trained on, clearly exhibiting in-context learning capabilities. AtmoRep's skill has been tested on nowcasting, temporal interpolation,…

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            NeurIPS 2023

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