Sea ice forecasting using IceNet (Jupyter Notebook) published in the Environmental Data Science book ...

Notebook developed to demonstrate IceNet, a deep learning sea ice forecasting system trained using climate simulations and observational data. ... : If you use this software, please cite it using the metadata from this file. ...

Bibliographic Details
Main Authors: Coca-Castro, Alejandro, This EDS book notebook contributors
Format: Article in Journal/Newspaper
Language:unknown
Published: Zenodo 2024
Subjects:
Environmental Data Science
Polar
Modelling
Deep learning
Sea ice
Online Access:https://dx.doi.org/10.5281/zenodo.8311332
https://zenodo.org/doi/10.5281/zenodo.8311332
id ftdatacite:10.5281/zenodo.8311332
record_format openpolar
spelling ftdatacite:10.5281/zenodo.8311332 2024-04-28T08:37:34+00:00 Sea ice forecasting using IceNet (Jupyter Notebook) published in the Environmental Data Science book ... Coca-Castro, Alejandro This EDS book notebook contributors 2024 https://dx.doi.org/10.5281/zenodo.8311332 https://zenodo.org/doi/10.5281/zenodo.8311332 unknown Zenodo https://github.com/eds-book-gallery/ac327c3a-5264-40a2-8c6e-1e8d7c4b37ef/tree/v1.0.5 https://github.com/eds-book-gallery/ac327c3a-5264-40a2-8c6e-1e8d7c4b37ef/tree/v1.0.5 https://dx.doi.org/10.5281/zenodo.8311343 https://dx.doi.org/10.5281/zenodo.8311338 https://dx.doi.org/10.5281/zenodo.8311333 https://dx.doi.org/10.5281/zenodo.8312694 https://dx.doi.org/10.5281/zenodo.10808514 https://dx.doi.org/10.5281/zenodo.10798260 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Environmental Data Science Polar Modelling Deep learning article Software SoftwareSourceCode 2024 ftdatacite https://doi.org/10.5281/zenodo.831133210.5281/zenodo.831134310.5281/zenodo.831133810.5281/zenodo.831133310.5281/zenodo.831269410.5281/zenodo.1080851410.5281/zenodo.10798260 2024-04-02T10:52:53Z Notebook developed to demonstrate IceNet, a deep learning sea ice forecasting system trained using climate simulations and observational data. ... : If you use this software, please cite it using the metadata from this file. ... Article in Journal/Newspaper Sea ice DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Environmental Data Science
Polar
Modelling
Deep learning
spellingShingle Environmental Data Science
Polar
Modelling
Deep learning
Coca-Castro, Alejandro
This EDS book notebook contributors
Sea ice forecasting using IceNet (Jupyter Notebook) published in the Environmental Data Science book ...
topic_facet Environmental Data Science
Polar
Modelling
Deep learning
description Notebook developed to demonstrate IceNet, a deep learning sea ice forecasting system trained using climate simulations and observational data. ... : If you use this software, please cite it using the metadata from this file. ...
format Article in Journal/Newspaper
author Coca-Castro, Alejandro
This EDS book notebook contributors
author_facet Coca-Castro, Alejandro
This EDS book notebook contributors
author_sort Coca-Castro, Alejandro
title Sea ice forecasting using IceNet (Jupyter Notebook) published in the Environmental Data Science book ...
title_short Sea ice forecasting using IceNet (Jupyter Notebook) published in the Environmental Data Science book ...
title_full Sea ice forecasting using IceNet (Jupyter Notebook) published in the Environmental Data Science book ...
title_fullStr Sea ice forecasting using IceNet (Jupyter Notebook) published in the Environmental Data Science book ...
title_full_unstemmed Sea ice forecasting using IceNet (Jupyter Notebook) published in the Environmental Data Science book ...
title_sort sea ice forecasting using icenet (jupyter notebook) published in the environmental data science book ...
publisher Zenodo
publishDate 2024
url https://dx.doi.org/10.5281/zenodo.8311332
https://zenodo.org/doi/10.5281/zenodo.8311332
genre Sea ice
genre_facet Sea ice
op_relation https://github.com/eds-book-gallery/ac327c3a-5264-40a2-8c6e-1e8d7c4b37ef/tree/v1.0.5
https://github.com/eds-book-gallery/ac327c3a-5264-40a2-8c6e-1e8d7c4b37ef/tree/v1.0.5
https://dx.doi.org/10.5281/zenodo.8311343
https://dx.doi.org/10.5281/zenodo.8311338
https://dx.doi.org/10.5281/zenodo.8311333
https://dx.doi.org/10.5281/zenodo.8312694
https://dx.doi.org/10.5281/zenodo.10808514
https://dx.doi.org/10.5281/zenodo.10798260
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_doi https://doi.org/10.5281/zenodo.831133210.5281/zenodo.831134310.5281/zenodo.831133810.5281/zenodo.831133310.5281/zenodo.831269410.5281/zenodo.1080851410.5281/zenodo.10798260
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