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xnemogcm #155

@rcaneill

Description

@rcaneill

as discussed in #154 I make a full submission

Submitting Author: Romain Caneill (@rcaneill)
All current maintainers: (@rcaneill)
Package Name: xnemogcm
One-Line Description of Package: Interface to open NEMO global circulation model output dataset with xarray and create a xgcm grid.
Repository Link: https://github.com/rcaneill/xnemogcm/
Version submitted: 0.4.2
Editor: @ocefpaf
Reviewer 1: @paigem
Reviewer 2: @callumrollo
Archive: DOI
Version accepted: 0.4.3
JOSS DOI: N/A
Date accepted (month/day/year): 04/02/2024


Code of Conduct & Commitment to Maintain Package

Description

xnemogcm is an interface to open NEMO ocean global circulation model output dataset and create a xgcm grid. NEMO 3.6, 4.0, and 4.2.0 are tested and supported. It can handle large simulations, is aware of meshgrid files, and makes it easy to handle the netCDF outputs od NEMO.

Scope

  • Please indicate which category or categories.
    Check out our package scope page to learn more about our
    scope. (If you are unsure of which category you fit, we suggest you make a pre-submission inquiry):

    • Data retrieval
    • Data extraction
    • Data processing/munging
    • Data deposition
    • Data validation and testing
    • Data visualization[^1]
    • Workflow automation
    • Citation management and bibliometrics
    • Scientific software wrappers
    • Database interoperability

Domain Specific & Community Partnerships

- [ ] Geospatial
- [ ] Education
- [x] Pangeo

Community Partnerships

If your package is associated with an
existing community please check below:

xnemogcm extracts the NEMO output and adds metadata (+ do some other things as change coordinate names, etc), and produces new xarray datasets. It is thus data processing.

  • Who is the target audience and what are scientific applications of this package?

The target audience is anyone working with NEMO outputs and python. The scientific applications are any analyse that one want to do with NEMO outputs.

  • Are there other Python packages that accomplish the same thing? If so, how does yours differ?

Yes, xorca. My package differs as 1) it is more recent, updated to work with newer versions of NEMO, and 2) it uses a very different method to sort variables on the proper grid point (center, face, etc) (cf https://xgcm.readthedocs.io/en/latest/grids.html). xorca uses hardcoded variables, while xnemogcm uses attributes (either output directly by NEMO, or they can also be given while calling the processing functions).

  • If you made a pre-submission enquiry, please paste the link to the corresponding issue, forum post, or other discussion, or @tag the editor you contacted:

I made a pre-submission enquiry, issue #154

Technical checks

For details about the pyOpenSci packaging requirements, see our packaging guide. Confirm each of the following by checking the box. This package:

  • does not violate the Terms of Service of any service it interacts with.
  • uses an OSI approved license.
  • contains a README with instructions for installing the development version.
  • includes documentation with examples for all functions.
  • contains a tutorial with examples of its essential functions and uses.
  • has a test suite.
  • has continuous integration setup, such as GitHub Actions CircleCI, and/or others.

Publication Options

JOSS Checks
  • The package has an obvious research application according to JOSS's definition in their submission requirements. Be aware that completing the pyOpenSci review process does not guarantee acceptance to JOSS. Be sure to read their submission requirements (linked above) if you are interested in submitting to JOSS.
  • The package is not a "minor utility" as defined by JOSS's submission requirements: "Minor ‘utility’ packages, including ‘thin’ API clients, are not acceptable." pyOpenSci welcomes these packages under "Data Retrieval", but JOSS has slightly different criteria.
  • The package contains a paper.md matching JOSS's requirements with a high-level description in the package root or in inst/.
  • The package is deposited in a long-term repository with the DOI:

Note: JOSS accepts our review as theirs. You will NOT need to go through another full review. JOSS will only review your paper.md file. Be sure to link to this pyOpenSci issue when a JOSS issue is opened for your package. Also be sure to tell the JOSS editor that this is a pyOpenSci reviewed package once you reach this step.

Are you OK with Reviewers Submitting Issues and/or pull requests to your Repo Directly?

This option will allow reviewers to open smaller issues that can then be linked to PR's rather than submitting a more dense text based review. It will also allow you to demonstrate addressing the issue via PR links.

  • Yes I am OK with reviewers submitting requested changes as issues to my repo. Reviewers will then link to the issues in their submitted review.

Confirm each of the following by checking the box.

  • I have read the author guide.
  • I expect to maintain this package for at least 2 years and can help find a replacement for the maintainer (team) if needed.

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