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amt.copernicus.org | ||
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gmd.copernicus.org
GMD - Metrics - Deep learning model based on multi-scale feature fusion for precipitation nowcasting 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.atmospheric-measurement-techniques.net
[AI summary] The page provides the publisher information, article options, and submission guidelines for the Atmospheric Measurement Techniques journal under the European Geosciences Union. |
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esd.copernicus.org
[AI summary] The preprint explores the historical and future energetic regimes of the global economy, highlighting how energy efficiency improvements have evolved and their implications for climate change and economic growth. |
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gmd.copernicus.org
[AI summary] A special issue launch featuring scientific research on urban and street-level air quality modeling, measurements, and health impacts. |
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