[PRE REVIEW]: RainFA, a Jupyter Notebooks package for regional frequency analysis of rainfall data series

[editorialbot]

Submitting author: @pabloblancogomez (Pablo Blanco Gómez)
Repository: https://github.com/vielca/RainFA
Branch with paper.md (empty if default branch):
Version: v1.0.0
Editor: Pending
Reviewers: Pending
Managing EiC: Kristen Thyng

Status

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[editorialbot]

Software report:

github.com/AlDanial/cloc v 1.88  T=0.03 s (436.9 files/s, 535952.0 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
Jupyter Notebook                 9              0          13856            512
TeX                              1             15              0            181
Markdown                         2             51              0            106
-------------------------------------------------------------------------------
SUM:                            12             66          13856            799
-------------------------------------------------------------------------------


gitinspector failed to run statistical information for the repository

[editorialbot]

Wordcount for paper.md is 1025

[editorialbot]

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

OK DOIs

- 10.1111/jfr3.12453 is OK
- 10.1016/j.envsoft.2017.08.011 is OK
- 10.1016/S0022-1694(01)00520-0 is OK
- 10.1016/S0187-6236(14)70039-6 is OK
- 10.1016/j.envsoft.2016.11.005 is OK
- 10.1080/23311916.2015.1018704 is OK
- 10.1007/s11069-013-0775-y is OK
- 10.1038/s41586-020-2649-2 is OK
- 10.5281/zenodo.7979740 is OK
- 10.21105/joss.01556 is OK
- 10.1038/s41592-019-0686-2 is OK
- 10.1109/MCSE.2007.55 is OK

MISSING DOIs

- 10.25080/majora-92bf1922-011 may be a valid DOI for title: statsmodels: Econometric and statistical modeling with python

INVALID DOIs

- None

[editorialbot]

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

[editorialbot]

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[pabloblancogomez]

My reviewers suggestions are:

• @AJQuinn

• @SimonMolinsky

• @felixcremer

[pabloblancogomez]

@editorialbot generate pdf

[editorialbot]

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

[editorialbot]

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[kthyng]

Hi @pabloblancogomez and thanks for your submission. In the future, please don't explicitly ping potential reviewers with "@" since it creates unnecessary noise for them — the editor would ping at the appropriate time.

I'm going to ask the greater editorial board to check out your submission for being in scope. Generally we find that notebook-based submissions do not come with proper documentation, installation steps, testing, nor are amenable to maintainable extension, in addition the number of lines of code is low. See more info here: https://joss.readthedocs.io/en/latest/submitting.html#substantial-scholarly-effort

This process will take 1-2 weeks.

[kthyng]

@editorialbot query scope

[editorialbot]

Submission flagged for editorial review.

[pabloblancogomez]

Hi @pabloblancogomez and thanks for your submission. In the future, please don't explicitly ping potential reviewers with "@" since it creates unnecessary noise for them — the editor would ping at the appropriate time.

I'm going to ask the greater editorial board to check out your submission for being in scope. Generally we find that notebook-based submissions do not come with proper documentation, installation steps, testing, nor are amenable to maintainable extension, in addition the number of lines of code is low. See more info here: https://joss.readthedocs.io/en/latest/submitting.html#substantial-scholarly-effort

This process will take 1-2 weeks.

-Dear @kthyng, sorry for the reviewers pinging, I understood the contrary. In terms of code length we already know from a previous manuscript the substancial scholarly effort and, despite having a code length a bit low (slightly above 600 lines), thought that it could result interesting, as it was already considered interesting in a national level congress about water science and engineering and the fact that the methodology has a version in R, but is not fully developed in Python.
In this sense, many people in the congress was really interested in the implementation of the discordancy and homogeneity notebooks, as there is no version in Python available.
Thanks for consulting the editorial board about the decision and hope that they could take these comments into consideration.
Best regards, Pablo.

[kthyng]

Hi @pabloblancogomez unfortunately the editorial board has determined this to be out of scope, due to the items mentioned in my previous note. It sounds, however, like if you did expand this into a fully developed Python package, it may be in scope. As it is though, this is not what JOSS is aimed to do. Thank you.

[kthyng]

@editorialbot reject

[editorialbot]

Paper rejected.