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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Cited articles

Aksenov, Y., Bacon, S., Coward, A. C., and Holliday, N. P.: Polar outflow from the Arctic Ocean: A high resolution model study, J. Mar. Syst., 83, 14–37, https://doi.org/10.1016/j.jmarsys.2010.06.007, 2010. 
Aksu, A.: Late Quaternary Stratigraphy, Palaeoenvironmentology and Sedimentation History of Baffin Bay and Davis Strait, Dallhouse University, Halifax, Nova Scotia, 1981. 
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Andersen, O. G. N.: The annual cycle of temperature, salinity, currents and water masses in Disko Bugt and adjacent waters, West Greenland, Meddelelser om Grønland, Bioscience, 5, 1–36, 1981. 
Andresen, C. S., McCarthy, D. J., Dylmer, C. V., Seidenkrantz, M. S., Kuijpers, A., and Lloyd, J. M.: Interaction between subsurface ocean waters and calving of the Jakobshavn Isbræ during the late Holocene, Holocene, 21, 211–224, https://doi.org/10.1177/0959683610378877, 2011. 
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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.