Sea ice forecasting using IceNet (Jupyter Notebook) published in the Environmental Data Science book nn
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Climatology
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Seasonal Arctic sea ice forecasting with probabilistic deep learning
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description: Related publication of the modelling presented in the Jupyter notebook
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Input Dataset for IceNet's demo notebook
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Outputs
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Input Forecasts, neural networks, and results from the paper: 'Seasonal Arctic sea ice forecasting with probabilistic deep learning'
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description: Contains input Forecasts, neural networks, and results from the paper: 'Seasonal Arctic sea ice forecasting with probabilistic deep learning' used in the Jupyter notebook of Sea ice forecasting using IceNet
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Online rendered version of the Jupyter notebook
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Lock conda file for linux-64
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Lock conda file for osx-64
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Jupyter notebook
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Sea ice forecasting using IceNet (Jupyter Notebook) published in the Environmental Data Science book - fork
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cite-as: Alejandro Coca-Castro, Tom Andersson, and Nick Barlow. "Sea ice forecasting using IceNet (Jupyter Notebook) published in the Environmental Data Science book nn." ROHub. Apr 03 ,2022. https://w3id.org/ro-id/753dd373-ec1f-4cb6-902a-a573cde641d9.

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Image showing interactive plot of IceNet seasonal forecasts of Artic sea ice according to four lead times and months in 2020
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