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 egqsj.copernicus.org
EGQSJ - Volume 57, issue 1/2
| | www.earth-system-dynamics.net
ESD - Interactive review process
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| | gmd.copernicus.org
GMD - Special issue - The Canadian Earth System Model version 5
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| | www.atmos-chem-phys.net
ACP - Importance of transboundary transport of biomass burning emissions to regional air quality in Southeast Asia during a high fire event
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| | gmd.copernicus.org
GMD - Metrics - Deep learning model based on multi-scale feature fusion for precipitation nowcasting
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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...