[PRE REVIEW]: A Module for Calibrating Impact Functions in the Climate Risk Modeling Platform CLIMADA

[editorialbot]

Submitting author: @peanutfun (Lukas Riedel)
Repository: https://github.com/CLIMADA-project/climada_python
Branch with paper.md (empty if default branch): calibrate-impact-functions
Version: v5
Editor: @observingClouds
Reviewers: @sunt05, @naingeet
Managing EiC: Chris Vernon

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[editorialbot]

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

OK DOIs

- 10.5194/gmd-12-3085-2019 is OK
- 10.5194/gmd-14-351-2021 is OK
- 10.1038/s41592-019-0686-2 is OK
- 10.1016/j.firesaf.2015.04.008 is OK
- 10.5194/gmd-2021-192 is OK
- 10.5281/zenodo.8383171 is OK
- 10.5194/egusphere-2024-93 is OK
- 10.21203/rs.3.rs-3682198/v1 is OK
- 10.1002/met.2035 is OK
- 10.5194/nhess-21-279-2021 is OK
- 10.5194/nhess-2023-158 is OK
- 10.21203/rs.3.rs-3807553/v1 is OK
- 10.1175/2009BAMS2755.1 is OK
- 10.1175/2008MWR2395.1 is OK

MISSING DOIs

- No DOI given, and none found for title: Bayesian Optimization: Open source constrained glo...
- No DOI given, and none found for title: 2022 Disasters in Numbers
- No DOI given, and none found for title: Emergency Events Database (EM-DAT)
- No DOI given, and none found for title: Risk and Uncertainty Assessment for Natural Hazard...
- 10.1017/cbo9781107415379.016 may be a valid DOI for title: Human Health: Impacts, Adaptation, and Co-Benefits
- No DOI given, and none found for title: Oasis Loss Modelling Framework

INVALID DOIs

- https://doi.org/10.5194/nhess-21-393-2021 is INVALID because of 'https://doi.org/' prefix
- https://doi.org/10.5194/essd-12-817-2020 is INVALID because of 'https://doi.org/' prefix

[editorialbot]

Software report:

github.com/AlDanial/cloc v 1.90  T=0.45 s (514.4 files/s, 235062.3 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
Python                         137           8499          18766          32640
CSV                             14              2              0           3462
Jupyter Notebook                38              0          36741           3082
Markdown                        10            248              0            737
reStructuredText                20            418            411            523
CSS                              1             91             11            405
TeX                              2             28              0            365
YAML                             6             26             26            207
make                             2             29              7            108
Bourne Shell                     3             20              1             44
Dockerfile                       1              7              8             15
-------------------------------------------------------------------------------
SUM:                           234           9368          55971          41588
-------------------------------------------------------------------------------

Commit count by author:

  1008	gabriela
   394	sameberenz
   342	emanuel-schmid
   283	Thomas Vogt
   186	Carmen Steinmann
   167	schmide
   107	Lukas Riedel
    94	Jan Hartman
    93	ThomasRoosli
    81	Evelyn-M
    73	ingajsa
    69	Chahan Kropf
    63	samluethi
    57	Emanuel Schmid
    56	Gabriela Aznar
    51	Yue Yu
    48	Benoît Guillod
    42	zeliest
    40	David N. Bresch
    40	frqqyy
    32	Chahan M. Kropf
    29	Samuel Lüthi
    29	aleciu
    29	gabrielaznar
    27	Chris Fairless
    23	timschmi95
    19	Marine Perus
    18	Samuel Eberenz
    17	Sam Luethi
    16	carmensteinmann
    15	manniepmkam
    14	Nicolas Colombi
    14	Simona Meiler
    13	wjan262
    10	climada
     9	Unknown
     9	aleeciu
     8	Thomas Röösli
     8	Zélie Stalhandske
     7	Carmen B. Steinmann
     6	Samuel Juhel
     6	leonie-villiger
     5	Alessio Ciullo
     5	NicolasColombi
     4	KasparTo
     4	Pui Man (Mannie) Kam
     4	Rachel_B
     4	Tobias Geiger
     4	climada.ethz.ch
     3	Evelyn Mühlhofer
     3	davidnbresch
     2	Benoit P. Guillod
     2	Sarah Hülsen
     2	Timo Schmid
     2	Zelie Stalhandske
     2	raphael-portmann
     2	veronicabozzini
     1	DarioStocker
     1	Kam Lam Yeung
     1	Mannie Kam
     1	Rachel Bungerer
     1	Schmid  Timo
     1	luseverin
     1	scem
     1	simonameiler

[editorialbot]

Paper file info:

📄 Wordcount for paper.md is 1089

✅ The paper includes a Statement of need section

[editorialbot]

License info:

🟡 License found: GNU General Public License v3.0 (Check here for OSI approval)

[editorialbot]

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

[peanutfun]

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Hello @peanutfun, here are the things you can ask me to do:

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[peanutfun]

I suggest the following reviewers:

• nmstreethran
• vankesteren
• hvwaldow
• FATelarico
• Zeitsperre

[peanutfun]

@editorialbot check references

[editorialbot]

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

OK DOIs

- 10.5194/gmd-12-3085-2019 is OK
- 10.5194/gmd-14-351-2021 is OK
- 10.1038/s41592-019-0686-2 is OK
- 10.5194/nhess-21-393-2021 is OK
- 10.1016/j.firesaf.2015.04.008 is OK
- 10.5194/gmd-2021-192 is OK
- 10.5281/zenodo.8383171 is OK
- 10.5194/egusphere-2024-93 is OK
- 10.21203/rs.3.rs-3682198/v1 is OK
- 10.1002/met.2035 is OK
- 10.5194/nhess-21-279-2021 is OK
- 10.5194/nhess-2023-158 is OK
- 10.1017/CBO9781107415379.016 is OK
- 10.21203/rs.3.rs-3807553/v1 is OK
- 10.1175/2009BAMS2755.1 is OK
- 10.1175/2008MWR2395.1 is OK
- 10.5194/essd-12-817-2020 is OK

MISSING DOIs

- No DOI given, and none found for title: Bayesian Optimization: Open source constrained glo...
- No DOI given, and none found for title: 2022 Disasters in Numbers
- No DOI given, and none found for title: Emergency Events Database (EM-DAT)
- No DOI given, and none found for title: Risk and Uncertainty Assessment for Natural Hazard...
- No DOI given, and none found for title: Oasis Loss Modelling Framework

INVALID DOIs

- None

[peanutfun]

@editorialbot generate pdf

[editorialbot]

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