A python package to support forecast submission, visualisation and evaluation for S2S ML/AI prediction project

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for joshuatalib from gravatar.com joshuatalib

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License
  • Author: Joshua Talib
  • Requires: Python >=3.8
Classifiers
Report project as malware

Project description

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 details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for joshuatalib from gravatar.com joshuatalib

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License
  • Author: Joshua Talib
  • Requires: Python >=3.8
Classifiers

Release history Release notifications | RSS feed

3.27

3.26

This version

3.25

3.22

3.21

3.20

3.16

3.15

3.14

3.13

3.12

3.11

3.9

3.1

3.0.4

3.0.3

3.0.2

3.0.1

3.0.0

2.4.4

2.4.3

2.4.2

2.4.1

2.3.9

2.3.8

2.3.7

2.3.6

2.3.5

2.3.4

2.3.3

2.3.2

2.3.1

2.2.9

2.2.8

2.2.7

2.2.6

2.2.5

2.2.4

2.2.3

2.2.1

2.2.0

2.0.0

1.1.8

1.1.7

1.1.6

1.1.5

1.1.4

1.1.3

1.1.2

1.1.1

1.1.0

1.0.9

1.0.8

1.0.7

1.0.6

1.0.5

1.0.4

1.0.3

1.0.2

1.0.1

1.0.0

0.2.26

0.2.25

0.2.24

0.2.23

0.2.22

0.2.21

0.2.20

0.2.19

0.2.18

0.2.17

0.2.16

0.2.15

0.2.14

0.2.13

0.2.12

0.2.11

0.2.10

0.2.9

0.2.8

0.2.7

0.2.6

0.2.5

0.2.4

0.2.3

0.2.2

0.2.1

0.2.0

0.1.61

0.1.7

0.1.6

0.1.5

0.1.4

0.1.3

0.1.2

0.1.1

0.0.19

0.0.18

0.0.16

0.0.15

0.0.14

0.0.13

0.0.12

0.0.11

0.0.10

0.0.9

0.0.8

0.0.7

0.0.6

0.0.5

0.0.4

0.0.3

0.0.2

0.0.1

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-3.25.tar.gz (35.4 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-3.25-py3-none-any.whl (39.7 kB view details)

Uploaded Python 3

File details

Details for the file ai_wq_package-3.25.tar.gz.

File metadata

  • Download URL: ai_wq_package-3.25.tar.gz
  • Upload date:
  • Size: 35.4 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-3.25.tar.gz
Algorithm Hash digest
SHA256 80f08575614fb95073e2469be257557e73c10a8363e93cff2eea548e489ada6d
MD5 d54ac05d95409c04497d8ebeff726da1
BLAKE2b-256 86cbdd70ae55ac042fded94eb7b2770200c058c44b00d1470a625c45adbe2ce8

See more details on using hashes here.

File details

Details for the file ai_wq_package-3.25-py3-none-any.whl.

File metadata

  • Download URL: ai_wq_package-3.25-py3-none-any.whl
  • Upload date:
  • Size: 39.7 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-3.25-py3-none-any.whl
Algorithm Hash digest
SHA256 6b3bbc31bb6d12a4971541df1a4b0ee1461ddf3ecc258da34052b2f50c801efa
MD5 9dc727922c23f510c2c6f21489f7fd08
BLAKE2b-256 8975494585f30da04a1f1a63842cfa766f14c9934aed89b2b58916b3ea2c0328

See more details on using hashes here.

Supported by

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