[PRE REVIEW]: lpjmlkit: A toolkit for operating LPJmL and model-specific data processing

[editorialbot]

Submitting author: @jnnsbrr (Jannes Breier)
Repository: https://github.com/PIK-LPJmL/lpjmlkit
Branch with paper.md (empty if default branch): JOSS
Version: v.1.0.13
Editor: @graciellehigino
Reviewers: @egouldo, @tonyewong
Managing EiC: Kristen Thyng

Status

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Thanks for submitting your paper to JOSS @jnnsbrr. Currently, there isn't a JOSS editor assigned to your paper.

@jnnsbrr if you have any suggestions for potential reviewers then please mention them here in this thread (without tagging them with an @). In addition, this list of people have already agreed to review for JOSS and may be suitable for this submission (please start at the bottom of the list).

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[editorialbot]

Software report:

github.com/AlDanial/cloc v 1.88  T=0.08 s (1020.8 files/s, 194732.9 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
R                               57           1328           3314           7002
Markdown                         5            178              0            881
JavaScript                       2             21             38            502
JSON                             7              0              0            448
TeX                              1             16              0            251
YAML                             4             19             10            151
Rmd                              2            137            606            123
make                             1             11              7             27
-------------------------------------------------------------------------------
SUM:                            79           1710           3975           9385
-------------------------------------------------------------------------------


gitinspector failed to run statistical information for the repository

[editorialbot]

Wordcount for paper.md is 1839

[editorialbot]

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

OK DOIs

- 10.5194/gmd-12-5029-2019 is OK
- 10.1038/s41893-019-0465-1 is OK
- 10.1016/j.jhydrol.2003.09.029 is OK
- 10.1016/j.envsoft.2018.09.004 is OK
- 10.1111/j.1365-2486.2006.01305.x is OK
- 10.5194/gmd-11-429-2018 is OK
- 10.5194/gmd-11-2789-2018 is OK
- 10.5194/gmd-12-1299-2019 is OK
- 10.5194/gmd-12-2419-2019 is OK
- 10.5194/bg-19-957-2022 is OK
- 10.5194/esd-12-1037-2021 is OK
- 10.1371/journal.pbio.1001745 is OK
- 10.1046/j.1365-2486.2003.00569.x is OK
- 10.1038/s41597-022-01710-x is OK
- 10.5194/gmd-11-1343-2018 is OK

MISSING DOIs

- None

INVALID DOIs

- None

[editorialbot]

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

[kthyng]

Hi @jnnsbrr and thanks for your submission. Can you add a sentence or two to the beginning of the paper to explain more about dynamic global vegetative models and where they fit in with other models? There are a lot of acronyms and not a lot of explanation for context. Also is it normal to have to install R packages to see any docs?

[jnnsbrr]

Dear @kthyng,
thank you! I added a definition for DGVMs to the Statement of need section (update is on the way).
Yes, its normal to first install R packages to be able to view the rendered rd files (in ./man) in R.
For our R package we additionally provide the full documentation at CRAN and at r-universe. Both are linked in the paper, CRAN publication in the Summary and r-universe documentation in the Documentation & License section.

[kthyng]

Hi @martinfleis! Are you interested in editing this submission? I know it's a bit outside your field!

[kthyng]

@editorialbot invite @martinfleis as editor

[editorialbot]

Invitation to edit this submission sent!

[martinfleis]

@kthyng sorry! A got no clue what this is doing, so would rather let someone else to take care of it.

[kthyng]

@editorialbot generate pdf

[editorialbot]

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

[kthyng]

Hi @fraukewiese! Might you be able to edit this submission?

[kthyng]

@editorialbot invite @fraukewiese as editor

[editorialbot]

Invitation to edit this submission sent!

[fraukewiese]

Thanks for the invitation. Unfortunately, I cannot edit this submission due to time constraints but also lack of understanding of the content of the software.

[kthyng]

Hi @jnnsbrr — What sort of expertise would overlap with the topic of your software? We seem to be having some trouble finding a good fit.

[jnnsbrr]

Hi @kthyng,
thank you!
I think the following topics would be relevant ...

1. background in R
2. numerical modelling AND/OR process-based modelling AND/OR (global) ecological modelling
3. - and only nice to have - expertise with Earth System Models OR Dynamic Global Vegetation Models

Starting from the bottom of this list of possible reviewers from the top and judging by the their preferred programming languages as well as topics/domains it could be (github username):

• dm807cam
• egouldo
• skiptoniam
• tonyewong
• mhesselbarth
• jmp75
• stephendavidgregory
• abigailsnyder
• vwmaus
• trashbirdecology
• khaors
• alessandroamaranto
• MoLi7
• stephendavidgregory

[kthyng]

@jnnsbrr ok thank you! That gave me a person to try who is available...

[kthyng]

@graciellehigino are you up for editing this paper?

[kthyng]

@editorialbot invite @graciellehigino as editor

[editorialbot]

Invitation to edit this submission sent!

[jnnsbrr]

Thank you!
An alternative could also be to ask one of the authors of the rlpjguess R package (mauriziobagnara, Rasilgon, florianhartig), which is a similar approach for a sister model of LPJmL (LPJGUESS) and was published in Environmental Modelling & Software.

[graciellehigino]

@editorialbot assign @graciellehigino as editor

Imma give it a go! Let's get this paper reviewed! [=

[editorialbot]

Assigned! @graciellehigino is now the editor

[jnnsbrr]

Cool, thank you 🙂

[kthyng]

@jnnsbrr We have a pool of editors for JOSS from which we need to choose, but for reviewers we can pick essentially anyone who can/will do the job and doesn't have a conflict of interest! Your reviewer suggestions will be very helpful for @graciellehigino in choosing reviewers.

[graciellehigino]

@editorialbot add @egouldo as reviewer

[editorialbot]

@egouldo added to the reviewers list!

[graciellehigino]

@editorialbot add @tonyewong as reviewer

[graciellehigino]

@editorialbot add @tonyewong as reviewer

[editorialbot]

@tonyewong added to the reviewers list!

[graciellehigino]

@editorialbot start review

[editorialbot]

OK, I've started the review over in #5447.

[arfon]

@editorialbot generate pdf

[editorialbot]

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

[editorialbot]

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