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  • title: A machine learning framework for correcting under-resolved simulations of turbulent systems using nudged datasets
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            A machine learning framework for correcting under-resolved simulations of turbulent systems using nudged datasets
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            A machine learning framework for correcting under-resolved simulations of turbulent systems using nudged datasets

            Dec 15, 2023

            Speakers

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            Benedikt Barthel

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            TS

            Themis Sapsis

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            About

            Due to the rapidly changing climate, the frequency and severity of extreme weather, such as storms and heatwaves is expected to increase drastically over the coming decades. Accurately quantifying the risk of such events with high spatial resolution is a critical step in the implementation of strategies to prepare for and mitigate the damages. As fully resolved simulations remain computationally out of reach, policy makers must rely on coarse resolution climate models which either parameterize o…

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            NeurIPS 2023

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