[REVIEW]: DIFFICE-jax: Differentiable neural-network solver for data assimilation of ice shelves in JAX

[editorialbot]

Submitting author: @wangyji (Yongji Wang)
Repository: https://github.com/YaoGroup/DIFFICE_jax
Branch with paper.md (empty if default branch):
Version: v1.0.0
Editor: @AnjaliSandip
Reviewers: @daniel-cheng, @nmcardoso, @RahulSundar
Archive: Pending

Status

Status badge code:

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Reviewers and authors:

Please avoid lengthy details of difficulties in the review thread. Instead, please create a new issue in the target repository and link to those issues (especially acceptance-blockers) by leaving comments in the review thread below. (For completists: if the target issue tracker is also on GitHub, linking the review thread in the issue or vice versa will create corresponding breadcrumb trails in the link target.)

Reviewer instructions & questions

@daniel-cheng & @nmcardoso & @RahulSundar, your review will be checklist based. Each of you will have a separate checklist that you should update when carrying out your review.
First of all you need to run this command in a separate comment to create the checklist:

@editorialbot generate my checklist

The reviewer guidelines are available here: https://joss.readthedocs.io/en/latest/reviewer_guidelines.html. Any questions/concerns please let @AnjaliSandip know.

✨ Please start on your review when you are able, and be sure to complete your review in the next six weeks, at the very latest ✨

Checklists

📝 Checklist for @nmcardoso

[editorialbot]

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[editorialbot]

Software report:

github.com/AlDanial/cloc v 1.90  T=0.04 s (1153.2 files/s, 212526.9 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
Python                          21            491            777           1510
TeX                              2            247              0           1456
Jupyter Notebook                 5              0            960           1273
Markdown                        10            232              0            634
YAML                             2              8             10             45
TOML                             1              6              0             34
MATLAB                           1             12             13             32
-------------------------------------------------------------------------------
SUM:                            42            996           1760           4984
-------------------------------------------------------------------------------

Commit count by author:

   616	yjwang
   111	Yao Lai
     6	Yongi Wang

[editorialbot]

Reference check summary (note 'MISSING' DOIs are suggestions that need verification):

✅ OK DOIs

- 10.5194/tc-15-1975-2021 is OK
- 10.1002/2014JF003181 is OK
- 10.1029/2024JH000169 is OK
- 10.1017/jog.2020.112 is OK
- 10.1016/j.jcp.2023.112428 is OK
- 10.5194/gmd-16-6671-2023 is OK
- 10.1017/jog.2021.120 is OK
- 10.1017/jog.2022.41 is OK
- 10.1017/jog.2023.73 is OK
- 10.1016/j.jcp.2024.112865 is OK
- 10.21203/rs.3.rs-2135795/v1 is OK
- 10.1029/JB094iB04p04071 is OK
- 10.3189/S0022143000015744 is OK
- 10.1038/s43247-022-00385-x is OK
- 10.1073/pnas.2309788121 is OK
- 10.5194/tc-9-1427-2015 is OK
- 10.1002/jgrf.20125 is OK
- 10.5194/tc-5-315-2011 is OK
- 10.3189/172756403781816338 is OK
- 10.1137/19M1274067 is OK
- 10.48550/arXiv.2207.02338 is OK
- 10.1016/j.jcp.2018.10.045 is OK
- 10.1029/2021MS002621 is OK
- 10.1017/jog.2023.8 is OK
- 10.1029/2010GL043853 is OK
- 10.1016/j.jcp.2023.112435 is OK
- 10.4208/cicp.oa-2020-0164 is OK

🟡 SKIP DOIs

- No DOI given, and none found for title: Deep learning the flow law of Antarctic Ice Shelve...
- No DOI given, and none found for title: MEaSUREs Phase-Based Antarctica Ice Velocity Map, ...
- No DOI given, and none found for title: MEaSUREs BedMachine Antarctica, Version 2
- No DOI given, and none found for title: Euler operators for mis-specified physics-informed...
- No DOI given, and none found for title: JAX: composable transformations of Python+NumPy pr...

❌ MISSING DOIs

- None

❌ INVALID DOIs

- None

[editorialbot]

Paper file info:

📄 Wordcount for paper.md is 1315

✅ The paper includes a Statement of need section

[editorialbot]

License info:

✅ License found: MIT License (Valid open source OSI approved license)

[editorialbot]

👉📄 Download article proof 📄 View article proof on GitHub 📄 👈

[nmcardoso]

Review checklist for @nmcardoso

Conflict of interest

• I confirm that I have read the JOSS conflict of interest (COI) policy and that: I have no COIs with reviewing this work or that any perceived COIs have been waived by JOSS for the purpose of this review.

Code of Conduct

• I confirm that I read and will adhere to the JOSS code of conduct.

General checks

• Repository: Is the source code for this software available at the https://github.com/YaoGroup/DIFFICE_jax?
• License: Does the repository contain a plain-text LICENSE or COPYING file with the contents of an OSI approved software license?
• Contribution and authorship: Has the submitting author (@wangyji) made major contributions to the software? Does the full list of paper authors seem appropriate and complete?
• Substantial scholarly effort: Does this submission meet the scope eligibility described in the JOSS guidelines
• Data sharing: If the paper contains original data, data are accessible to the reviewers. If the paper contains no original data, please check this item.
• Reproducibility: If the paper contains original results, results are entirely reproducible by reviewers. If the paper contains no original results, please check this item.
• Human and animal research: If the paper contains original data research on humans subjects or animals, does it comply with JOSS's human participants research policy and/or animal research policy? If the paper contains no such data, please check this item.

Functionality

• Installation: Does installation proceed as outlined in the documentation?
• Functionality: Have the functional claims of the software been confirmed?
• Performance: If there are any performance claims of the software, have they been confirmed? (If there are no claims, please check off this item.)

Documentation

• A statement of need: Do the authors clearly state what problems the software is designed to solve and who the target audience is?
• Installation instructions: Is there a clearly-stated list of dependencies? Ideally these should be handled with an automated package management solution.
• Example usage: Do the authors include examples of how to use the software (ideally to solve real-world analysis problems).
• Functionality documentation: Is the core functionality of the software documented to a satisfactory level (e.g., API method documentation)?
• Automated tests: Are there automated tests or manual steps described so that the functionality of the software can be verified?
• Community guidelines: Are there clear guidelines for third parties wishing to 1) Contribute to the software 2) Report issues or problems with the software 3) Seek support

Software paper

• Summary: Has a clear description of the high-level functionality and purpose of the software for a diverse, non-specialist audience been provided?
• A statement of need: Does the paper have a section titled 'Statement of need' that clearly states what problems the software is designed to solve, who the target audience is, and its relation to other work?
• State of the field: Do the authors describe how this software compares to other commonly-used packages?
• Quality of writing: Is the paper well written (i.e., it does not require editing for structure, language, or writing quality)?
• References: Is the list of references complete, and is everything cited appropriately that should be cited (e.g., papers, datasets, software)? Do references in the text use the proper citation syntax?

[AnjaliSandip]

@daniel-cheng & @RahulSundar, here's a friendly reminder to begin reviewing this software/paper.