AI Weather Quest (AI-WQ-package)
Disclaimer: This package is provided for research and competition participation purposes only. It is not intended for use in any operational or production context. It is not an officially supported ECMWF software product.
Overview
AI-WQ-package is a Python library that supports participation in the ECMWF AI Weather Quest, a competition to develop and evaluate AI-based sub-seasonal forecasts.
The package enables you to:
- Submit forecasts to the AI Weather Quest competition.
- Evaluate sub-seasonal forecasts using tools developed by the AI Weather Quest team.
- Download training data for developing sub-seasonal forecast models.
It builds on xarray for efficient NetCDF-based data handling.
Installation
To install the AI-WQ-package on Linux, run the following command:
python3 -m pip install AI-WQ-package
For guidance on installing Python 3 or pip, refer to the official documentation.
Dependencies
The AI-WQ-package requires the following dependencies:
- numpy (version 1.23 or higher)
- xarray (version 2024.09.0 or higher)
- dask (version 2024.9.0)
- pandas (version 2.2.3 or higher)
- scipy (version 1.14.1 or higher)
- netCDF4 (version 1.7.2 or higher)
- requests (versions 2.32.2 or higher)
- matplotlib (versions 3.8 or higher)
- cartopy (versions 0.22 or higher)
If these dependencies conflict with your current working environment, consider installing the package in a new virtual environment.
Upgrading the Package
To upgrade to the latest version, run:
python3 -m pip install --upgrade AI-WQ-package
This project is being actively developed. New updates may be released periodically with detailed annoucements given on the ECMWF-hosted forum.
Software Maturity
| Attribute | Status |
|---|---|
| Maturity |  |
| Support level | Best effort — no guaranteed response time |
| Operational use | Not suitable for operational use |
License
This project is licensed under the Apache License 2.0. See the LICENSE file for the full text.
Support
This package is not officially supported by ECMWF. Community contributions and questions are welcome via GitHub Issues on the upstream repository or on the ECMWF Community Forum.
For general ECMWF-related enquiries, please use the ECMWF Service Desk.
Documentation
Full documentation is available on ReadTheDocs:
1 maintainer
Metadata
1 maintainer
Release files for AI-WQ-package-Edition2 3.1
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Source distribution (sdist)
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| ai_wq_package_edition2-3.1.tar.gz | 35.3 kB | Without provenance | Details for ai_wq_package_edition2-3.1.tar.gz |
Built distribution (wheel)
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| ai_wq_package_edition2-3.1-py3-none-any.whl | Python 3 | none | any | Details for ai_wq_package_edition2-3.1-py3-none-any.whl |
Total release size: 75.2 kB
Release files / ai_wq_package_edition2-3.1.tar.gz
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Security for AI-WQ-package-Edition2 3.1
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