the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
An Overview of the Western United States Dynamically Downscaled Dataset (WUS-D3)
Lei Huang
Jesse Norris
Alex Hall
Naomi Goldenson
Will Krantz
Benjamin Bass
Chad Thackeray
Henry Lin
Di Chen
Eli Dennis
Ethan Collins
Zachary Lebo
Emily Slinskey
Abstract. Predicting future climate change over a region of complex terrain, such as the western United States (U.S.), remains challenging due to the low resolution of global climate models (GCMs). Yet climate extremes of recent years in this region, such as floods, wildfires, and drought, are likely to intensify further as climate warms, underscoring the need for high-quality predictions. Here, we present an ensemble of dynamically downscaled simulations over the western U.S. from 1980–2100 at 9-km grid spacing, driven by sixteen latest-generation GCMs. This dataset is titled the Western U.S. Dynamically Downscaled Dataset (WUS-D3).
We describe the challenges of producing WUS-D3, including GCM selection and technical issues, and we evaluate the simulations’ realism by comparing historical results to temperature and precipitation observations. The future downscaled climate change signals are shaped in physically credible ways by the regional model’s more realistic coastlines and topography: (1) The mean warming signals are heavily influenced by more realistic snowpack. (2) Mean precipitation changes are often consistent with wetting on the windward side of mountain complexes, as warmer, moister air masses are uplifted orographically during precipitation events. (3) There are large fractional precipitation increases on the lee side of mountain complexes, leading to potentially significant changes in water resources and ecology in these arid landscapes. (4) Increases in precipitation extremes are generally larger than in the GCMs, driven intensified local atmospheric updrafts tied to topography. (5) Changes in temperature extremes are different from what is expected by a shift in mean temperature and are shaped by local atmospheric dynamics and land surface feedbacks. Because of its high resolution, comprehensiveness, and representation of relevant physical processes, this dataset presents a unique opportunity to evaluate societally relevant future changes in western U.S. climate.
- Preprint
(12301 KB) - Metadata XML
-
Supplement
(19385 KB) - BibTeX
- EndNote
Stefan Rahimi et al.
Status: open (until 16 Dec 2023)
-
RC1: 'Comment on gmd-2023-162', Anonymous Referee #1, 18 Nov 2023
reply
See attached pdf
-
RC2: 'Comment on gmd-2023-162', Anonymous Referee #2, 19 Nov 2023
reply
Kindly refer to the attached file for further details.
-
CEC1: 'Comment on gmd-2023-162', Juan Antonio Añel, 19 Nov 2023
reply
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.htmlYou 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 EditorCitation: https://doi.org/10.5194/gmd-2023-162-CEC1 -
AC1: 'Reply on CEC1', Stefan Rahimi-Esfarjani, 20 Nov 2023
reply
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
reply
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
-
CEC2: 'Reply on AC1', Juan Antonio Añel, 21 Nov 2023
reply
-
AC1: 'Reply on CEC1', Stefan Rahimi-Esfarjani, 20 Nov 2023
reply
Stefan Rahimi et al.
Stefan Rahimi et al.
Viewed
HTML | XML | Total | Supplement | BibTeX | EndNote | |
---|---|---|---|---|---|---|
233 | 87 | 5 | 325 | 19 | 4 | 5 |
- HTML: 233
- PDF: 87
- XML: 5
- Total: 325
- Supplement: 19
- BibTeX: 4
- EndNote: 5
Viewed (geographical distribution)
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1