cmip6-downscaling
Climate downscaling using CMIP6 data.
https://github.com/carbonplan/cmip6-downscaling
Category: Climate Change
Sub Category: Climate Downscaling
Keywords from Contributors
climate data-catalog blog downscaling carbon compressed intake xarray-accessor keras archiving
Last synced: about 4 hours ago
JSON representation
Repository metadata
Climate downscaling using CMIP6 data
- Host: GitHub
- URL: https://github.com/carbonplan/cmip6-downscaling
- Owner: carbonplan
- License: mit
- Created: 2020-10-19T20:58:02.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2025-04-07T21:27:13.000Z (20 days ago)
- Last Synced: 2025-04-20T09:43:57.638Z (7 days ago)
- Language: Jupyter Notebook
- Homepage: https://docs.carbonplan.org/cmip6-downscaling
- Size: 17 MB
- Stars: 187
- Watchers: 13
- Forks: 29
- Open Issues: 34
- Releases: 5
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Zenodo: .zenodo.json
README.md
carbonplan / cmip6-downscaling
climate downscaling using cmip6 data
This repository includes our tools/scripts/models/etc for climate downscaling. This work is described in more detail in a web article with
a companion map tool to explore the data. We encourage you to reach out if you are interested in using the code or datasets by opening an issue or sending us an email.
install
python -m pip install cmip6_downscaling
usage
from cmip6_downscaling.methods import ...
data access
There are two ways to access the data using Python.
First, the entire collection of datasets at daily timescales is available through an intake catalog using the following code snippet.
import intake
cat = intake.open_esm_datastore(
'https://rice1.osn.mghpcc.org/carbonplan/cp-cmip/version1/catalog/osn-rechunked-global-downscaled-cmip6.json'
)
You can check out this example Jupyter notebook to see how to access the data, perform some simple analysis, and download subsets.
You can also access the data by using the URL of an individual dataset. See the datasets page for a table of all available datasets in this collection with storage locations and other metadata. A code snippet showing how to use the URL is shown below:
import xarray as xr
xr.open_zarr('https://rice1.osn.mghpcc.org/carbonplan/cp-cmip/version1/rechunked_data/DeepSD/ScenarioMIP.CCCma.CanESM5.ssp245.r1i1p1f1.day.DeepSD.pr.zarr',chunks={})
license
All the code in this repository is MIT-licensed. Some of the data provided by this API is sourced from content made available under a CC-BY-4.0 license. We include attribution for this content, and we please request that you also maintain that attribution if using this data.
about us
CarbonPlan is a nonprofit organization that uses data and science for climate action. We aim to improve the transparency and scientific integrity of climate solutions with open data and tools. Find out more at carbonplan.org or get in touch by opening an issue or sending us an email.
Owner metadata
- Name: carbonplan
- Login: carbonplan
- Email: [email protected]
- Kind: organization
- Description: Data and science for climate action
- Website: carbonplan.org
- Location: earth
- Twitter: carbonplanorg
- Company:
- Icon url: https://avatars.githubusercontent.com/u/58278235?v=4
- Repositories: 112
- Last ynced at: 2025-04-24T13:44:39.071Z
- Profile URL: https://github.com/carbonplan
GitHub Events
Total
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Last Year
- Issues event: 1
- Watch event: 17
- Delete event: 1
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- Push event: 4
- Pull request review event: 1
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- Create event: 1
Committers metadata
Last synced: 5 days ago
Total Commits: 714
Total Committers: 14
Avg Commits per committer: 51.0
Development Distribution Score (DDS): 0.746
Commits in past year: 10
Committers in past year: 2
Avg Commits per committer in past year: 5.0
Development Distribution Score (DDS) in past year: 0.5
| Name | Commits | |
|---|---|---|
| Oriana Chegwidden | o****a@c****g | 181 |
| Raphael Hagen | n****n@g****m | 176 |
| Joseph Hamman | j****n@u****u | 93 |
| Joe Hamman | j****e@c****g | 91 |
| Anderson Banihirwe | a****e@u****u | 42 |
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| pre-commit-ci[bot] | 6****] | 34 |
| dependabot[bot] | 4****] | 22 |
| Cindy Chiao | 6****o | 17 |
| Oriana Chegwidden | o****n@O****l | 8 |
| Kata Martin | k****m@g****m | 5 |
| freeman-lab | t****b@g****m | 2 |
| Cindy Chiao | c****o@l****m | 1 |
| Joe Hamman | j****1@g****m | 1 |
Committer domains:
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Issue and Pull Request metadata
Last synced: 1 day ago
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Average time to close issues: 2 months
Average time to close pull requests: 10 days
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Average comments per pull request: 0.99
Merged pull request: 235
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Past year average time to close issues: about 1 month
Past year average time to close pull requests: 3 days
Past year issue authors: 1
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Past year average comments per issue: 5.0
Past year average comments per pull request: 0.33
Past year merged pull request: 3
Past year bot issues: 0
Past year bot pull requests: 1
Top Issue Authors
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Top Pull Request Authors
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Top Issue Labels
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- documentation (1)
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Top Pull Request Labels
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- github_actions (16)
- javascript (5)
Package metadata
- Total packages: 1
-
Total downloads:
- pypi: 151 last-month
- Total dependent packages: 0
- Total dependent repositories: 1
- Total versions: 3
- Total maintainers: 3
pypi.org: cmip6-downscaling
Climate downscaling using cmip6 data
- Homepage:
- Documentation: https://cmip6-downscaling.readthedocs.io/
- Licenses: MIT
- Latest release: 1.1.1 (published about 1 year ago)
- Last Synced: 2025-04-27T13:03:34.026Z (about 4 hours ago)
- Versions: 3
- Dependent Packages: 0
- Dependent Repositories: 1
- Downloads: 151 Last month
-
Rankings:
- Stargazers count: 6.391%
- Dependent packages count: 7.377%
- Forks count: 8.578%
- Average: 18.943%
- Dependent repos count: 22.239%
- Downloads: 50.127%
- Maintainers (3)
Dependencies
- actions/checkout v3 composite
- myst-nb
- numpydoc
- pip
- pre-commit
- python 3.9.*
- sphinx >=5.0
- sphinx-book-theme >=0.3.0
Score: 13.080645148052257