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  • title: Pyrocast: S Machine Learning Pipeline for Pyrocumulonimbus (PyroCb) Forecasting
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            Pyrocast: S Machine Learning Pipeline for Pyrocumulonimbus (PyroCb) Forecasting
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            Pyrocast: S Machine Learning Pipeline for Pyrocumulonimbus (PyroCb) Forecasting

            Dez 2, 2022

            Sprecher:innen

            KT

            Kenza Tazi

            Řečník · 0 sledujících

            EDS

            Emiliano Diaz Salas-Porras

            Řečník · 0 sledujících

            AB

            Ashwin Braude

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            Über

            Pyrocumulonimbus (pyroCbs) are storm clouds generated by extreme wildfires. PyroCbs are associated with unpredictable wildfire spread. They can also inject smoke particles and trace gases into the upper troposphere and lower stratosphere. As the climate warms, these previously rare events are becoming more common. This paper presents Pyrocast, a pipeline for pyroCb analysis and forecasting. This paper presents the pipeline's two first components: a pyroCb database and a pyroCb forecasting model.…

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            NeurIPS 2022

            Účet · 962 sledujících

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