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# See docs at: https://mystmd.org/guide/frontmatter
version: 1
extends:
- https://raw.githubusercontent.com/eds-book/edsbook-config/main/edsbook.yml
project:
id: ac327c3a-5264-40a2-8c6e-1e8d7c4b37ef
title: Sea ice forecasting using IceNet (Jupyter Notebook) published in the Environmental Data Science book
short_title: Monthly sea ice forecasting (IceNet)
abstract: Notebook developed to demonstrate IceNet, a deep learning sea ice forecasting system trained using climate simulations and observational data.
authors:
- id: acoca
name: Alejandro Coca-Castro
orcid: 0000-0002-9264-1539
corresponding: true
email: acoca@turing.ac.uk
github: acocac
roles:
- Investigation
- Software
- Visualization
affiliations:
- turing
reviewers:
- id: tandersson
name: Tom R. Andersson
orcid: 0000-0002-1556-9932
github: tom-andersson
roles:
- Writing – review & editing
affiliations:
- bas
- id: nbarlow
name: Nick Barlow
orcid: 0000-0003-3284-5342
github: nbarlowATI
roles:
- Writing – review & editing
affiliations:
- turing
editors:
- id: acoca
affiliations:
- id: turing
name: The Alan Turing Institute
- id: bas
name: British Antarctic Survey
subject: Cryosphere
keywords:
- Cryosphere
- Modelling
- Standard
- Python
funding: The IceNet project was supported by Wave 1 of The UKRI Strategic Priorities Fund under the EPSRC Grant EP/T001569/1, particularly the AI for Science’ theme within that grant and The Alan Turing Institute.
venue:
title: Environmental Data Science Book
short_title: EDS Book
url: https://www.edsbook.org
issue:
name: Standard
thumbnail: images/thumbnail.png
requirements:
- environment.yml
doi: 10.5281/zenodo.8311332
github: https://github.com/eds-book/ac327c3a-5264-40a2-8c6e-1e8d7c4b37ef
jupyter:
binder:
repo: eds-book/ac327c3a-5264-40a2-8c6e-1e8d7c4b37ef
open_access: true
license:
content: CC-BY-4.0
code: MIT
date: 2024-09-13
toc:
- file: README.md
- file: notebook.ipynb
exports:
- format: pdf
template: curvenote
article: notebook.ipynb
output: exports/notebook.pdf
- format: cff
type: software
version: v2025.6.0
license: MIT
license-url: https://opensource.org/license/MIT
identifiers:
- description: "Open review report for this notebook"
type: url
value: "https://github.com/alan-turing-institute/environmental-ds-book/pull/6"
bibliography:
- references.bib
site:
template: book-theme