AI-WQ-package-Edition2 1.0.5

EDITION2! A python package to support forecast submission, evaluation and access to FTP site for DESTIN-E S2S AI prediction project

AI_weather_quest

To participate in the AI Weather Quest, you will need to install the AI-WQ-package Python package. This package requires Python version 3, and its source code is available on GitHub.

AI-WQ-package is a Python library designed to streamline participation in the AI Weather Quest. This guide provides step-by-step instructions on how to:

• Submit a forecast to the AI Weather Quest competition.
• Evaluate sub-seasonal forecasts using tools developed by the AI Weather Quest.
• Download training data for initially developing sub-seasonal forecast models.

The package leverages capability developed through xarray for efficient data handling.

We highly recommend use the ReadTheDocs documentation as a guide for using this package: https://ecmwf-ai-weather-quest.readthedocs.io/en/latest/

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.