Articles | Volume 16, issue 3
https://doi.org/10.5194/cp-16-1075-2020
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, Jacques Giraudeau, Lukas Wacker, Christof Pearce, and Marit-Solveig Seidenkrantz

Viewed

Total article views: 2,443 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,640 763 40 2,443 312 39 47
  • HTML: 1,640
  • PDF: 763
  • XML: 40
  • Total: 2,443
  • Supplement: 312
  • BibTeX: 39
  • EndNote: 47
Views and downloads (calculated since 10 Jan 2020)
Cumulative views and downloads (calculated since 10 Jan 2020)

Viewed (geographical distribution)

Total article views: 2,443 (including HTML, PDF, and XML) Thereof 2,116 with geography defined and 327 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 24 Feb 2024
Download
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.