notebook-examples
Example notebooks showing how to work with ECMWF services and data
Science Score: 26.0%
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○CITATION.cff file
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✓.zenodo.json file
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○Scientific vocabulary similarity
Low similarity (9.2%) to scientific vocabulary
Keywords
Repository
Example notebooks showing how to work with ECMWF services and data
Basic Info
- Host: GitHub
- Owner: ecmwf
- License: apache-2.0
- Language: Jupyter Notebook
- Default Branch: master
- Size: 255 MB
Statistics
- Stars: 244
- Watchers: 23
- Forks: 83
- Open Issues: 1
- Releases: 0
Topics
Metadata Files
README.md
- How to work with meteorological data
The examples in this space should give you a good starting point how you can work with ECMWF services and data through Python using Jupyter notebooks.
- Visualisation meteorological data using ECMWF's Magics plotting package for meteorological data.
- Download images and reproducing ECMWF Open Charts using new ECMWF Python libraries
- Explore changes in the new IFS and AIFS cycle upgrades using new ECMWF Python libraries
Many notebooks that showcase processing of ECMWF data using Metview can now be found in Metview documentation page: * Gallery of Jupyter notebooks * Gallery of small Python examples
Each notebook has a list of nececary libraries needed for it to work and code to install it.
If you clone this repo and want to explore all the notebooks, you can use the environment.yml file to create a conda environment and install all the libraries inside, using this command:
conda env create -f environment.yml
Note: All the libraries are frozen on 09th January 2025.
Owner
- Name: European Centre for Medium-Range Weather Forecasts
- Login: ecmwf
- Kind: organization
- Email: Software.Support@ecmwf.int
- Location: Shinfield Park, Reading, United Kingdom
- Website: www.ecmwf.int
- Repositories: 44
- Profile: https://github.com/ecmwf
Providing software to work with meteorological data and services
GitHub Events
Total
- Issues event: 1
- Watch event: 45
- Delete event: 4
- Issue comment event: 1
- Push event: 38
- Pull request event: 22
- Fork event: 12
- Create event: 8
Last Year
- Issues event: 1
- Watch event: 45
- Delete event: 4
- Issue comment event: 1
- Push event: 38
- Pull request event: 22
- Fork event: 12
- Create event: 8
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Milana Vuckovic | m****c@e****t | 141 |
| Sylvie Lamy-Thepaut | s****t@e****t | 83 |
| StephanSiemen | s****n@g****m | 20 |
| Iain Russell | I****l@e****t | 3 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 5
- Total pull requests: 32
- Average time to close issues: 24 days
- Average time to close pull requests: 3 days
- Total issue authors: 5
- Total pull request authors: 4
- Average comments per issue: 1.6
- Average comments per pull request: 0.19
- Merged pull requests: 28
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 1
- Pull requests: 27
- Average time to close issues: N/A
- Average time to close pull requests: 1 minute
- Issue authors: 1
- Pull request authors: 1
- Average comments per issue: 0.0
- Average comments per pull request: 0.04
- Merged pull requests: 25
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- yuriishizawa (1)
- clausmichele (1)
- ninaburg (1)
- erick-otenyo (1)
- basitkhanNZ (1)
Pull Request Authors
- milanavuckovic (28)
- sylvielamythepaut (3)
- yuriishizawa (1)
- mrocklin (1)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- ecmwf-api-client ==1.6.3
- ecmwf-opendata >=0.3.14
- ipympl *
- ipywidgets *
- jupyter_contrib_nbextensions *
- jupyterlab *
- matplotlib *
- metview >=1.16.1
- nbmake *
- netcdf4 *
- pandas *
- pytest *
- pytest-xdist *
- scipy *
- xarray *