Prediction of Sea Ice Motion With Convolutional Long Short-Term Memory Networks

IEEE Transactions on Geoscience and Remote Sensing(2019)

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摘要
Prediction of sea ice motion is important for safeguarding human activities in polar regions, such as ship navigation, fisheries, and oil and gas exploration, as well as for climate and ocean-atmosphere interaction models. Numerical prediction models used for sea ice motion prediction often require a large number of data from diverse sources with varying uncertainties. In this paper, a deep learni...
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关键词
Sea ice,Predictive models,Arctic,Data models,Atmospheric modeling,Numerical models,Microwave radiometry
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