xmip
Analysis ready CMIP6 data in python the easy way with pangeo tools.
https://github.com/jbusecke/xmip
Category: Climate Change
Sub Category: Climate Data Processing and Analysis
Keywords
analysis-ready-data climate-analysis climate-models cmip6 cmip6-data pangeo preprocessing xgcm
Keywords from Contributors
observation archiving transforms measur optimize plots compression rasterize parallel climate-model
Last synced: about 20 hours ago
JSON representation
Repository metadata
Analysis ready CMIP6 data in python the easy way with pangeo tools.
- Host: GitHub
- URL: https://github.com/jbusecke/xmip
- Owner: jbusecke
- License: apache-2.0
- Created: 2019-10-16T17:33:55.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2025-04-07T17:55:30.000Z (20 days ago)
- Last Synced: 2025-04-19T02:17:22.804Z (8 days ago)
- Topics: analysis-ready-data, climate-analysis, climate-models, cmip6, cmip6-data, pangeo, preprocessing, xgcm
- Language: Jupyter Notebook
- Homepage: https://cmip6-preprocessing.readthedocs.io/en/latest/?badge=latest
- Size: 20.4 MB
- Stars: 199
- Watchers: 9
- Forks: 44
- Open Issues: 73
- Releases: 34
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
- Citation: CITATION.cff
README.md
Science is not immune to racism. Academia is an elitist system with numerous gatekeepers that has mostly allowed a very limited spectrum of people to pursue a career. I believe we need to change that.
Open source development and reproducible science are a great way to democratize the means for scientific analysis. But you can't git clone software if you are being murdered by the police for being Black!
Free access to software and hollow diversity statements are hardly enough to crush the systemic and institutionalized racism in our society and academia.
If you are using this package, I ask you to go beyond just speaking out and donate here to Data for Black Lives and Black Lives Matter Action.
I explicitly welcome suggestions regarding the wording of this statement and for additional organizations to support. Please raise an issue for suggestions.
xmip (formerly cmip6_preprocessing)
This package facilitates the cleaning, organization and interactive analysis of Model Intercomparison Projects (MIPs) within the Pangeo software stack.
Are you interested in CMIP6 data, but find that is is not quite analysis ready? Do you just want to run a simple (or complicated) analysis on various models and end up having to write logic for each seperate case, because various datasets still require fixes to names, coordinates, etc.? Then this package is for you.
Developed during the cmip6-hackathon this package provides utility functions that play nicely with intake-esm.
We currently support the following functions
- Preprocessing CMIP6 data (Please check out the tutorial for some examples using the pangeo cloud). The preprocessig includes:
a. Fix inconsistent naming of dimensions and coordinates
b. Fix inconsistent values,shape and dataset location of coordinates
c. Homogenize longitude conventions
d. Fix inconsistent units - Creating large scale ocean basin masks for arbitrary model output
The following issues are under development:
- Reconstruct/find grid metrics
- Arrange different variables on their respective staggered grid, so they can work seamlessly with xgcm
Check out this recent Earthcube notebook (cite via doi: 10.1002/essoar.10504241.1) for a high level demo of xmip and xgcm.
Installation
Install xmip via pip:
pip install xmip
or conda:
conda install -c conda-forge xmip
To install the newest main from github you can use pip aswell:
pip install git+pip install git+https://github.com/jbusecke/xmip.git
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - family-names: "Busecke" given-names: "Julius J. M." orcid: "https://orcid.org/0000-0001-8571-865X" - family-names: "Spring" given-names: "Aaron" orcid: "https://orcid.org/0000-0003-0216-2241" - family-names: "Maroon" given-names: "Elizabeth" orcid: "https://orcid.org/0000-0002-1660-7822" - family-names: "Nicholas" given-names: "Thomas" orcid: "https://orcid.org/0000-0002-2176-0530" - family-names: "Magin" given-names: "Justus" orcid: "https://orcid.org/0000-0002-4254-8002" affiliation: "IFREMER" - family-names: "Ritschel" given-names: "Markus" orcid: "https://orcid.org/0000-0001-7464-7075" affiliation: "Universität Hamburg, Germany" - family-names: "Angevaare" given-names: "Joran J. R." orcid: "https://orcid.org/0000-0003-3392-8123" affiliation: "KNMI" title: "xMIP" url: "https://github.com/jbusecke/xMIP" # version and doi are completed by Zenodo automatically, do not provide here.
Owner metadata
- Name: Julius Busecke
- Login: jbusecke
- Email:
- Kind: user
- Description: Climate Scientist | Oceanographer | Open Source Developer
- Website: http://www.juliusbusecke.com
- Location: Brooklyn, New York
- Twitter: JuliusBusecke
- Company: Columbia/LDEO -- @ocean-transport
- Icon url: https://avatars.githubusercontent.com/u/14314623?u=079bbe47eabf57071dcec47ef4572449a2743cbc&v=4
- Repositories: 160
- Last ynced at: 2024-06-11T15:36:36.678Z
- Profile URL: https://github.com/jbusecke
GitHub Events
Total
- Issues event: 2
- Watch event: 3
- Delete event: 2
- Issue comment event: 6
- Push event: 4
- Pull request event: 6
- Create event: 3
Last Year
- Issues event: 2
- Watch event: 3
- Delete event: 2
- Issue comment event: 6
- Push event: 4
- Pull request event: 6
- Create event: 3
Committers metadata
Last synced: 7 days ago
Total Commits: 563
Total Committers: 11
Avg Commits per committer: 51.182
Development Distribution Score (DDS): 0.254
Commits in past year: 40
Committers in past year: 5
Avg Commits per committer in past year: 8.0
Development Distribution Score (DDS) in past year: 0.5
| Name | Commits | |
|---|---|---|
| Julius Busecke | j****s@l****u | 420 |
| Julius Busecke | j****e@p****u | 57 |
| dependabot[bot] | 4****] | 50 |
| pre-commit-ci[bot] | 6****] | 13 |
| AS | a****g@m****e | 12 |
| Joran R. Angevaare | j****e@g****m | 4 |
| markusritschel | g****b@m****e | 3 |
| Elizabeth Maroon | e****n@w****u | 1 |
| Emma Boland | e****p@b****k | 1 |
| Tom Nicholas | 3****s | 1 |
| readthedocs-assistant | 9****t | 1 |
Committer domains:
- bas.ac.uk: 1
- wisc.edu: 1
- markusritschel.de: 1
- mpimet.mpg.de: 1
- princeton.edu: 1
- ldeo.columbia.edu: 1
Issue and Pull Request metadata
Last synced: 2 days ago
Total issues: 71
Total pull requests: 124
Average time to close issues: 3 months
Average time to close pull requests: 21 days
Total issue authors: 24
Total pull request authors: 10
Average comments per issue: 2.7
Average comments per pull request: 0.95
Merged pull request: 95
Bot issues: 0
Bot pull requests: 73
Past year issues: 13
Past year pull requests: 26
Past year average time to close issues: 15 days
Past year average time to close pull requests: 15 days
Past year issue authors: 4
Past year pull request authors: 5
Past year average comments per issue: 0.69
Past year average comments per pull request: 1.12
Past year merged pull request: 10
Past year bot issues: 0
Past year bot pull requests: 13
Top Issue Authors
- jbusecke (39)
- jdldeauna (4)
- znicholls (3)
- JoranAngevaare (2)
- emaroon (2)
- AbbySh (2)
- scoatsclim (2)
- BenF1998 (1)
- Recalculate (1)
- emmomp (1)
- rabernat (1)
- tessjacobson (1)
- BWBlack (1)
- hmkhatri (1)
- jwy-wbe (1)
Top Pull Request Authors
- dependabot[bot] (58)
- jbusecke (38)
- pre-commit-ci[bot] (15)
- JoranAngevaare (5)
- jdldeauna (2)
- briochemc (2)
- emmomp (1)
- readthedocs-assistant (1)
- emaroon (1)
- rwegener2 (1)
Top Issue Labels
- next release (1)
- documentation (1)
- enhancement (1)
Top Pull Request Labels
- dependencies (58)
Package metadata
- Total packages: 1
-
Total downloads:
- pypi: 789 last-month
- Total dependent packages: 1
- Total dependent repositories: 1
- Total versions: 4
- Total maintainers: 1
pypi.org: xmip
Analysis ready CMIP6 data the easy way
- Homepage: https://github.com/jbusecke/xmip
- Documentation: https://xmip.readthedocs.io/
- Licenses: Apache
- Latest release: 0.7.2 (published over 1 year ago)
- Last Synced: 2025-04-25T14:04:17.284Z (2 days ago)
- Versions: 4
- Dependent Packages: 1
- Dependent Repositories: 1
- Downloads: 789 Last month
- Docker Downloads: 0
-
Rankings:
- Docker downloads count: 2.026%
- Stargazers count: 5.248%
- Forks count: 6.526%
- Average: 9.676%
- Dependent packages count: 10.119%
- Downloads: 12.594%
- Dependent repos count: 21.545%
- Maintainers (1)
Dependencies
- actions/checkout v3 composite
- codecov/codecov-action v3.1.1 composite
- mamba-org/provision-with-micromamba main composite
- xarray-contrib/ci-trigger v1 composite
- actions/cache v3 composite
- actions/checkout v3 composite
- conda-incubator/setup-miniconda v2.2.0 composite
- actions/checkout v3 composite
- actions/download-artifact v3 composite
- actions/setup-python v4 composite
- actions/upload-artifact v3 composite
- pypa/gh-action-pypi-publish v1.6.4 composite
- cartopy
- ipykernel
- ipython
- nc-time-axis
- numpydoc
- pandoc
- pint
- pip
- recommonmark
- sphinx
- sphinx_rtd_theme
Score: 14.678258730908794