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 Static Badge
Support level Best effort — no guaranteed response time
Operational use Not suitable for operational use

[!IMPORTANT] This software is Sandbox, is under active development, and subject to ECMWF's guidelines on Software Maturity. Releases are intended for testing, evaluation, and collaboration rather than production deployment.

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:

https://ecmwf-ai-weather-quest.readthedocs.io/en/latest/

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (3.31)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for joshuatalib from gravatar.com joshuatalib

Credits

Author: Joshua Talib

License

MIT License

Requires

Python >=3.8

Classifiers

Report project as malware

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ai_wq_package-3.28.tar.gz (35.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ai_wq_package-3.28-py3-none-any.whl (39.6 kB view details)

Uploaded Python 3

File details

Details for the file ai_wq_package-3.28.tar.gz.

File metadata

  • Download URL: ai_wq_package-3.28.tar.gz
  • Upload date:
  • Size: 35.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.11

File hashes

Hashes for ai_wq_package-3.28.tar.gz
Algorithm Hash digest
SHA256 80fcc35465033efeb3f45cc6160d8a84dce75879ba81ccfee4ec75b1c64d432f
MD5 8b86f9e86a5ad0058c6fd57c6b3a8d66
BLAKE2b-256 bdbdc3ca8e37380462dce1a18f2f0476ada063fa950d1a3f9897539531a6fe1c

See more details on using hashes here.

File details

Details for the file ai_wq_package-3.28-py3-none-any.whl.

File metadata

  • Download URL: ai_wq_package-3.28-py3-none-any.whl
  • Upload date:
  • Size: 39.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.11

File hashes

Hashes for ai_wq_package-3.28-py3-none-any.whl
Algorithm Hash digest
SHA256 aa325c0f89d207edb70ae70b8632c805195ce4cdd6689f8d4338df5bc56a2566
MD5 e22dbcb2f3a98d64e16800740f9c38f1
BLAKE2b-256 9c5ea89d0ff454f52e4ebb41ce41e4e9538c9c130fc012d71bb41e7685d653a9

See more details on using hashes here.

Release history Release notifications | RSS feed

3.31

2 files

3.30

2 files

3.29

2 files

This release

3.28 This release

2 files

3.27

2 files

3.26

2 files

3.25

2 files

3.22

2 files

3.21

2 files

3.20

2 files

3.16

2 files

3.15

2 files

3.14

2 files

3.13

2 files

3.12

2 files

3.11

2 files

3.9

2 files

3.1

2 files

3.0.4

2 files

3.0.3

2 files

3.0.2

2 files

3.0.1

2 files

3.0.0

2 files

2.4.4

2 files

2.4.3

2 files

2.4.2

2 files

2.4.1

2 files

2.3.9

2 files

2.3.8

2 files

2.3.7

2 files

2.3.6

2 files

2.3.5

2 files

2.3.4

2 files

2.3.3

2 files

2.3.2

2 files

2.3.1

2 files

2.2.9

2 files

2.2.8

2 files

2.2.7

2 files

2.2.6

2 files

2.2.5

2 files

2.2.4

2 files

2.2.3

2 files

2.2.1

2 files

2.2.0

2 files

2.0.0

2 files

1.1.8

2 files

1.1.7

2 files

1.1.6

2 files

1.1.5

2 files

1.1.4

2 files

1.1.3

2 files

1.1.2

2 files

1.1.1

2 files

1.1.0

2 files

1.0.9

2 files

1.0.8

2 files

1.0.7

2 files

1.0.6

2 files

1.0.5

2 files

1.0.4

2 files

1.0.3

2 files

1.0.2

2 files

1.0.1

2 files

1.0.0

2 files

0.2.26

2 files

0.2.25

2 files

0.2.24

2 files

0.2.23

2 files

0.2.22

2 files

0.2.21

2 files

0.2.20

2 files

0.2.19

2 files

0.2.18

2 files

0.2.17

2 files

0.2.16

2 files

0.2.15

2 files

0.2.14

2 files

0.2.13

2 files

0.2.12

2 files

0.2.11

2 files

0.2.10

2 files

0.2.9

2 files

0.2.8

2 files

0.2.7

2 files

0.2.6

2 files

0.2.5

2 files

0.2.4

2 files

0.2.3

2 files

0.2.2

2 files

0.2.1

2 files

0.2.0

2 files

0.1.61

2 files

0.1.7

2 files

0.1.6

2 files

0.1.5

2 files

0.1.4

2 files

0.1.3

2 files

0.1.2

2 files

0.1.1

2 files

0.0.19

2 files

0.0.18

2 files

0.0.16

2 files

0.0.15

2 files

0.0.14

2 files

0.0.13

2 files

0.0.12

2 files

0.0.11

2 files

0.0.10

2 files

0.0.9

2 files

0.0.8

2 files

0.0.7

2 files

0.0.6

2 files

0.0.5

2 files

0.0.4

2 files

0.0.3

2 files

0.0.2

2 files

0.0.1

2 files

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page