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publications.copernicus.org | ||
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www.atmospheric-measurement-techniques.net
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gmd.copernicus.org
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| | | | | Abstract. Forecasting heavy precipitation accurately is a challenging task for most deep learning (DL)-based models. To address this, we present a novel DL architecture called multi-scale feature fusion (MFF) that can forecast precipitation with a lead time of up to 3?h. The MFF model uses convolution kernels with varying sizes to create multi-scale receptive fields. This helps to capture the movement features of precipitation systems, such as their shape, movement direction, and speed. Additionally, the... | |
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www.copernicus.org
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bpr.studentorg.berkeley.edu
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| | | "Drill baby drill." "The Green New Scam." "It's freezing in New York-where the hell is global warming?" It's nearly impossible to feel like there is any hope left for the environment when the next President of the United States has effectively denied the existence of climate change. As an undergraduate student studying climate change and | ||
