An overview of the Western United States Dynamically Downscaled Dataset (WUS-D3)

Rahimi, Stefan; Huang, Lei; Norris, Jesse; Hall, Alex; Goldenson, Naomi; Krantz, Will; Bass, Benjamin; Thackeray, Chad; Lin, Henry; Chen, Di; Dennis, Eli; Collins, Ethan; Lebo, Zachary J.; Slinskey, Emily; Graves, Sara; Biyani, Surabhi; Wang, Bowen; Cropper, Stephen; the UCLA Center for Climate Science Team,

doi:https://doi.org/10.5194/gmd-17-2265-2024

Articles | Volume 17, issue 6

https://doi.org/10.5194/gmd-17-2265-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-17-2265-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 6

Model experiment description paper

|

20 Mar 2024

Model experiment description paper |

| 20 Mar 2024

An overview of the Western United States Dynamically Downscaled Dataset (WUS-D3)

Stefan Rahimi, Lei Huang, Jesse Norris, Alex Hall, Naomi Goldenson, Will Krantz, Benjamin Bass, Chad Thackeray, Henry Lin, Di Chen, Eli Dennis, Ethan Collins, Zachary J. Lebo, Emily Slinskey, Sara Graves, Surabhi Biyani, Bowen Wang, Stephen Cropper, and the UCLA Center for Climate Science Team

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Final revised paper (published on 20 Mar 2024)
Supplement to the final revised paper
Preprint (discussion started on 19 Oct 2023)
Supplement to the preprint

Interactive discussion

Status: closed

RC1:
'Comment on gmd-2023-162', Anonymous Referee #1, 18 Nov 2023

See attached pdf

Citation: https://doi.org/10.5194/gmd-2023-162-RC1
- AC4: 'Reply on RC1', Stefan Rahimi-Esfarjani, 07 Dec 2023
  
  See attached PDF
  
  Citation: https://doi.org/10.5194/gmd-2023-162-AC4
RC2:
'Comment on gmd-2023-162', Anonymous Referee #2, 19 Nov 2023

Kindly refer to the attached file for further details.

Citation: https://doi.org/10.5194/gmd-2023-162-RC2
- AC3: 'Reply on RC2', Stefan Rahimi-Esfarjani, 07 Dec 2023
  
  See PDF
  
  Citation: https://doi.org/10.5194/gmd-2023-162-AC3
CEC1:
'Comment on gmd-2023-162', Juan Antonio Añel, 19 Nov 2023

Dear authors,
After checking your manuscript, it has come to our attention that it does not comply with our Code and Data Policy.

https://www.geoscientific-model-development.net/policies/code_and_data_policy.html
You have archived your code in AWS. This is not a repository that complies with our trustable permanent archival policy. Therefore, please, you have to publish your code in one of the appropriate repositories according to our policy.

In this way, you must reply to this comment with the link to the new repository used in your manuscript, with its DOI. The reply and the repository should be available as soon as possible, and before the Discussions stage is closed, to be sure that anyone has access to it for review purposes.

We understand that some files used in your study are large (e.g., full output from models). In such cases, instead of storing the complete files, you could at least keep the variables or final fields computed and used in your work.

Also, you must include in a potentially reviewed version of your manuscript the modified Code and Data Availability sections and the DOI of the new repositories. Also, please, remember to include a license for your code and scripts. If you do not do it, the code continues to be your property and can not be used by others, despite any statement on being free to use.
Therefore, when uploading the model's code to the repository, you could want to choose a free software/open-source (FLOSS) license. We recommend the GPLv3. You only need to include the file 'https://www.gnu.org/licenses/gpl-3.0.txt' as LICENSE.txt with your code. Also, you can choose other options that Zenodo provides: GPLv2, Apache License, MIT License, etc.
Please, reply as soon as possible to this comment with the link for it so that it is available for the peer-review process, as it should be.
Also, be aware that failing to comply with this request will result in rejecting your manuscript for publication.
Regards,
Juan A. Añel

Geosci. Model Dev. Executive Editor

Citation: https://doi.org/10.5194/gmd-2023-162-CEC1
- AC1:
  'Reply on CEC1', Stefan Rahimi-Esfarjani, 20 Nov 2023
  
  Greetings,
  
  Regarding publishing code, I will move the codes into a zip file and upload to ResearchGate.
  
  Regarding any large files, I think the size should be small enough to allow me to share the codes/some files. Does this include the model output itself in the AWS bucket? Its size is ~3 PB. Just making sure that the code used to create the data is all that is being asked for here...
  
  Best,
  -Stefan
  
  Citation: https://doi.org/10.5194/gmd-2023-162-AC1
  - CEC2: 'Reply on AC1', Juan Antonio Añel, 21 Nov 2023
    
    Dear authors,
    ResearchGate is not a repository. Please, check our policy for the acceptable repositories
    https://www.geoscientific-model-development.net/policies/code_and_data_policy.html#item3
    For the data, try at least to share the final output variables to reproduce your plots.
    Also, you must reply to this comment before Discussions is closed with the necessary information, links and DOIs.
    Regards,
    Juan A. Añel
    Geosci. Model Dev. Executive Editor
    
    Citation: https://doi.org/10.5194/gmd-2023-162-CEC2
- AC2: 'Reply on CEC1', Stefan Rahimi-Esfarjani, 07 Dec 2023
  
  Greetings,
  
  To Zenodo, we have uploaded the following to a DOI (DOI:10.5281/zenodo.10286544; https://zenodo.org/records/10286545):
  1. a Jupyter notebook containing routines that can reproduce the main-text figures, as well as perform some limited analyses of WUS-D3 and the parent GCMs, along with reference data products (e.g., PRISM, WRF-ERA5).
  2. the files needed to use the Jupyter notebook
  3. Geographic files
  4. WRF and WPS code for three separate model versions: a no-leap, proleptic gregorian, and 360-day calendars.
  
  Please let us know if you find any issues. Also, we have updated the author list to include Surabhi Biyani, Sara Graves, and Bowen Wang (UCLA Center for Climate Science). Can they be formally added to the discussion as official coauthors?
  
  The new data and code availability statements read:
  The versions of WRF used in this study, a Jupyter noetebook reproducing the figures in the main text, their attendant files, and the geography files are arhived with zenodo in an open DOI subject to a Creative Commons License version 4 (DOI:10.5281/zenodo.10286544; https://zenodo.org/records/10286545. All downscaled data for WUS-D3, including the full 6-hourly WRF datastream (Tier 1), hourly data for select land-surface variables (Tier 2), and a daily post-processed datastream (Tier 3) are located in the following open-data bucket on Amazon S3: s3://wrf-cmip6-noversioning/ at https://registry.opendata.aws/wrf-cmip6/. These data are completely open and free to the public. We have also developed a technical access and usage document that details these three data tiers which can be found at https://dept.atmos.ucla.edu/sites/default/files/alexhall/files/aws_tiers_dirstructure_nov22.pdf and on ResearchGate at (https://www.researchgate.net/publication/374504614_Data_tier_descriptions_directory_structure_and_data_access_of_the_Western_US_Dynamically_Downscaled_Dataset_WUS-D3_version_1; DOI:10.13140/RG.2.2.11385.85609). As recommended in the document, these data are most easily downloaded when using Amazon Web Service’s (AWS’) Command Line Interface (CLI) or with wget. An example is presented in the technical access and usage document.
  Individualized preprocessing codes were developed to create the intermediate binary files for each GCM before ingestion into WRF. As such, we have archived these codes for various GCMs on zenodo (DOI:10.5281/zenodo.10286544).
  
  Citation: https://doi.org/10.5194/gmd-2023-162-AC2
CC1:
'Comment on gmd-2023-162', Thanh Ngo Duc, 08 Dec 2023

kindly see the attached file for further details.

Citation: https://doi.org/10.5194/gmd-2023-162-CC1
- AC5: 'Reply on CC1', Stefan Rahimi-Esfarjani, 08 Dec 2023
  
  Kindly see attached PDF with our responses.
  
  Citation: https://doi.org/10.5194/gmd-2023-162-AC5

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload

AR by Stefan Rahimi-Esfarjani on behalf of the Authors (18 Dec 2023) Author's response Author's tracked changes Manuscript

ED: Referee Nomination & Report Request started (08 Jan 2024) by Chanh Kieu

RR by Anonymous Referee #2 (09 Jan 2024)

RR by Anonymous Referee #1 (22 Jan 2024)

ED: Publish subject to minor revisions (review by editor) (31 Jan 2024) by Chanh Kieu

AR by Stefan Rahimi-Esfarjani on behalf of the Authors (01 Feb 2024) Author's response Author's tracked changes Manuscript

ED: Publish as is (07 Feb 2024) by Chanh Kieu

AR by Stefan Rahimi-Esfarjani on behalf of the Authors (08 Feb 2024) Manuscript

Short summary

Here, we project future climate across the western United States through the end of the 21st century using a regional climate model, embedded within 16 latest-generation global climate models, to provide the community with a high-resolution physically based ensemble of climate data for use at local scales. Strengths and weaknesses of the data are frankly discussed as we overview the downscaled dataset.

An overview of the Western United States Dynamically Downscaled Dataset (WUS-D3)

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Interactive discussion

Peer review completion

Suggestions for revision or reasons for rejection

Suggestions for revision or reasons for rejection