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  • title: Forecasting Global Drought Severity and Duration Using Deep Learning
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            Forecasting Global Drought Severity and Duration Using Deep Learning
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            Forecasting Global Drought Severity and Duration Using Deep Learning

            Dec 2, 2022

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            Akanksha Ahuja

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            Xin Rong Chua

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            Drought detection and prediction is challenging due to the slow onset of the event and varying degrees of dependence on numerous physical and socio-economic factors that differentiate droughts from other natural disasters. In this work, we propose DeepXD (Deep learning for Droughts), a deep learning model with 26 physics-informed input features for SPI (Standardised Precipitation Index) forecasting to identify and classify droughts using monthly oceanic indices, global meteorological and vegetat…

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            NeurIPS 2022

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