Subject: Natural sciences, Field: Earth Science, Subfield: Oceanography Key words: sea ice, thickness, Arctic, TOPAZ, machine learning, data assimilation The scientific manuscript associated to the dataset is: https://doi.org/10.5194/tc-19-731-2025 The dataset can be visualized as an animation using the following link: https://av.tib.eu/media/68161 (https://doi.org/10.5446/68161) or: https://www.youtube.com/watch?v=UPPcJXfNMbY (faster)

Related Organizations

Nansen Environmental and remote sensing center
Norway

Keywords

machine learning, arctic, TOPAZ, data assimilation, sea ice, thickness

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

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