[PRE REVIEW] Detection and attribution of climate change: A deep learning and variational approach
acocac opened this issue · comments
Notebook Pre-Review
Submitting author: @ancazugo @SkirOwen @ViktorDomazetoski
Repository: https://github.com/eds-book-gallery/CI2023-RC-team2
Paper: https://doi.org/10.1017/eds.2022.17
Editor: @ampersandmcd
Reviewer: @asthanameghna @NHomer-Edi @dbhatedin
Managing EiC: @acocac
Status
Author instructions
Thanks for submitting your notebook to EDS book.
Editor instructions
Thank you for considering managing the review workflow of a notebook submission to EDS book.
Please find and assign reviewers and start the main review.
@ampersandmcd thanks for confirming your availability to moderate the discussion for this submission, may I ask if you can assign reviewers and confirm their availability?
Hi @asthanameghna @NHomer-Edi @dbhatedin — you volunteered to review for the CI2023 Reproducibility Challenge co-hosted by EDS book, Climate Informatics and Cambridge University Press and Assessment. Could you take a look at this submission and let us know if you might be able to volunteer a review for us? Thanks!
I can take it up
I am happy to review - it looks like a very interesting paper!
Yes, glad to review, the topic is so impactful.
Closing as all reviewers confirm their availability.