CITATION.cff

cff-version: 1.2.0
title: icenet-pipeline
message: "If you use this software, please cite it as below."
type: software
authors:
  - given-names: James
    family-names: Byrne
    email: jambyr@bas.ac.uk
    affiliation: British Antarctic Survey
    orcid: "https://orcid.org/0000-0003-3731-2377"
  - given-names: Bryn Noel
    family-names: Ubald
    email: bryald@bas.ac.uk
    affiliation: British Antarctic Survey
    orcid: "https://orcid.org/0000-0002-0206-7140"
  - given-names: Ryan
    family-names: Chan
    email: rchan@turing.ac.uk
    affiliation: The Alan Turing Institute
repository-code: "https://github.com/icenet-ai/icenet-pipeline"
url: "https://icenet.ai/"
repository: "https://github.com/icenet-ai/icenet"
abstract: >-
  icenet-pipeline is a repository containing tools that
  enables operational execution of the IceNet probabilistic
  deep-learning library for sea-ice forecasting via a
  Command Line Interface (CLI). It is an end-to-end pipeline
  that enables the generation of forecast outputs.
keywords:
  - sea-ice
  - pipeline
  - forecast
  - machine learning
  - cryosphere
  - antarctic
  - arctic
  - ice
  - deep learning
license: MIT
version: "v0.2.9"