Environmental Data Science Book Community
Published December 15, 2023 | Version v1
Presentation Open

Implementing Reproducible Environmental Data Science with Open Science: Lessons from the 1st Climate Informatics Reproducibility Challenge

Creators

  • 1. ROR icon University of Cambridge
  • 2. ROR icon British Antarctic Survey
  • 3. ROR icon The Alan Turing Institute
  • 4. ROR icon Simula Research Laboratory
  • 5. McMaster University
  • 6. ROR icon Cambridge University Press
  • 7. ROR icon North Carolina State University

Description

This presentation is given by Andrew McDonald, MRes + PhD Student in the AI4ER CDT at the University of Cambridge and British Antarctic Survey, to the AGU23 session.

The presentation shares insights from the 2023 Climate Informatics Reproducibility Challenge (CIRC23). The videos/animation of winning team is included.

More information about CIRC23 can be found on the website. 

For EDS book, please visit the Github project or website.

Files

AGU23_CIRC23.pdf

Files (21.3 MB)

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Additional details

Funding

A national UK programme in AI and digital twins to address the biodiversity and climate crisis EP/Y028880/1
Engineering and Physical Sciences Research Council