Articles | Volume 16, issue 3
Clim. Past, 16, 1075–1095, 2020
https://doi.org/10.5194/cp-16-1075-2020
Clim. Past, 16, 1075–1095, 2020
https://doi.org/10.5194/cp-16-1075-2020

Research article 22 Jun 2020

Research article | 22 Jun 2020

Reconstruction of Holocene oceanographic conditions in eastern Baffin Bay

Katrine Elnegaard Hansen et al.

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Latest update: 21 Oct 2021
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Short summary
In this study, we present RainNet, a deep convolutional neural network for radar-based precipitation nowcasting, which was trained to predict continuous precipitation intensities at a lead time of 5 min. RainNet significantly outperformed the benchmark models at all lead times up to 60 min. Yet an undesirable property of RainNet predictions is the level of spatial smoothing. Obviously, RainNet learned an optimal level of smoothing to produce a nowcast at 5 min lead time.