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  • title: Deep Learning for downscaling tropical cyclone rainfall
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            Deep Learning for downscaling tropical cyclone rainfall
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            Deep Learning for downscaling tropical cyclone rainfall

            Dec 2, 2022

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            EV

            Emily Vosper

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            LH

            Lucy Harris

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            AM

            Andrew McRae

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            About

            Flooding is often the leading cause of mortality and damages from tropical cyclones. With rainfall from tropical cyclones set to rise under global warming, better estimates of extreme rainfall are required to better support resilience efforts. While high resolution climate models capture tropical cyclone statistics well, they are computationally expensive leading to a trade-off between accuracy and generating enough ensemble members to generate sufficient high impact, low probability events. Oft…

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            NeurIPS 2022

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