cmip6-downscaling

Climate downscaling using CMIP6 data

https://github.com/carbonplan/cmip6-downscaling

Science Score: 36.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
    3 of 14 committers (21.4%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (14.8%) to scientific vocabulary

Keywords from Contributors

hydrology climate mesh energy-system exoplanet transcriptomics climate-analysis pangeo prediction s2d

Scientific Fields

Engineering Computer Science - 40% confidence
Last synced: 6 months ago · JSON representation

Repository

Climate downscaling using CMIP6 data

Basic Info
Statistics
  • Stars: 195
  • Watchers: 13
  • Forks: 31
  • Open Issues: 35
  • Releases: 5
Created over 5 years ago · Last pushed 8 months ago
Metadata Files
Readme License Zenodo

README.md

CarbonPlan monogram.

carbonplan / cmip6-downscaling

climate downscaling using cmip6 data

CI PyPI License: MIT

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

shell python -m pip install cmip6_downscaling

usage

python 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.

python 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:

python 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

  • Name: carbonplan
  • Login: carbonplan
  • Kind: organization
  • Email: hello@carbonplan.org
  • Location: earth

Data and science for climate action

GitHub Events

Total
  • Issues event: 1
  • Watch event: 24
  • Delete event: 1
  • Issue comment event: 1
  • Push event: 5
  • Pull request review event: 1
  • Pull request event: 2
  • Fork event: 4
  • Create event: 1
Last Year
  • Issues event: 1
  • Watch event: 24
  • Delete event: 1
  • Issue comment event: 1
  • Push event: 5
  • Pull request review event: 1
  • Pull request event: 2
  • Fork event: 4
  • Create event: 1

Committers

Last synced: 7 months ago

All Time
  • Total Commits: 714
  • Total Committers: 14
  • Avg Commits per committer: 51.0
  • Development Distribution Score (DDS): 0.746
Past Year
  • Commits: 10
  • Committers: 2
  • Avg Commits per committer: 5.0
  • Development Distribution Score (DDS): 0.5
Top Committers
Name Email 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
Max Jones m****j@a****u 41
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 (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 48
  • Total pull requests: 290
  • Average time to close issues: 2 months
  • Average time to close pull requests: 10 days
  • Total issue authors: 18
  • Total pull request authors: 9
  • Average comments per issue: 1.23
  • Average comments per pull request: 1.0
  • Merged pull requests: 235
  • Bot issues: 0
  • Bot pull requests: 54
Past Year
  • Issues: 1
  • Pull requests: 3
  • Average time to close issues: N/A
  • Average time to close pull requests: 3 days
  • Issue authors: 1
  • Pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.33
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • orianac (11)
  • jhamman (10)
  • norlandrhagen (6)
  • andersy005 (3)
  • arbennett (2)
  • chiaral (2)
  • Afshinshafei (1)
  • ShihengDuan (1)
  • YueZhang99 (1)
  • Prukutu (1)
  • maxrjones (1)
  • zhouyunzhouyun (1)
  • andreall (1)
  • mahm1846 (1)
  • rg727 (1)
Pull Request Authors
  • norlandrhagen (94)
  • dependabot[bot] (40)
  • andersy005 (37)
  • jhamman (37)
  • maxrjones (28)
  • orianac (26)
  • tcchiao (17)
  • pre-commit-ci[bot] (15)
  • katamartin (3)
Top Labels
Issue Labels
design-discussion (2) documentation (1) enhancement (1)
Pull Request Labels
dependencies (40) python (19) github_actions (16) javascript (5)

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 44 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

  • Versions: 3
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 44 Last month
Rankings
Stargazers count: 6.4%
Dependent packages count: 7.4%
Forks count: 8.6%
Average: 18.9%
Dependent repos count: 22.2%
Downloads: 50.1%
Last synced: 6 months ago

Dependencies

.github/workflows/main.yaml actions
  • actions/checkout v3 composite
pyproject.toml pypi
docs/environment.yml conda
  • myst-nb
  • numpydoc
  • pip
  • pre-commit
  • python 3.9.*
  • sphinx >=5.0
  • sphinx-book-theme >=0.3.0