Welcome to AI-WQ-package documentation!

A Python library for participating in the ECMWF AI Weather Quest.

Overview

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. AI-WQ-package requires Python 3, and its source code is available on GitHub.

Note

This project is being actively developed. New updates may be released periodically with detailed annoucements given on the AI Weather Quest Forum.

Contents

• Installation
  • Dependencies
  • Upgrading the Package
• Submitting a Forecast
  • Importing Forecast Submission Functions
  • Creating an Empty DataArray
  • Understanding Empty DataArray Coordinates
  • Populating the DataArray
  • Submitting a Forecast to the AI Weather Quest
  • Summary
• Forecast Evaluation
  • Importing Forecast Evaluation Modules
  • Retrieving Datasets for Forecast Evaluation
  • Evaluating Forecasts Using Retrieved Data
• Training Data
  • Accessing Available Data
  • Importing the Retrieve Training Data Module
  • Downloading Training Data
  • Understanding Data Processing Details
  • Summary

License

AI-WQ-package is released under the open source Apache License.