WMO is co-sponsoring the AI Weather Quest , a global competition organized by ECMWF to advance sub-seasonal weather forecasting using artificial intelligence (AI) and machine learning (ML). Approved as a WIPPS Pilot Project by INFCOM , this initiative aligns with WMO's mission to foster innovation and collaboration in numerical weather prediction for the benefit of National Meteorological and Hydrological Services (NMHSs) and end-users worldwide.
The AI Weather Quest, organised by the European Centre for Medium-Range Weather Forecasts (ECMWF), is a pioneering global competition designed to advance sub-seasonal weather forecasting using artificial intelligence (AI) and machine learning (ML). Bringing together participants worldwide, the initiative challenges them to develop and submit AI/ML-driven forecasts, advancing the future of weather prediction.
Sub-seasonal forecasting refers to predicting weather conditions for periods ranging from two weeks to two months ahead. Traditional numerical weather prediction models often face challenges in this range due to the complex interactions of atmospheric, oceanic, and land-surface processes. By leveraging AI/ML, the competition aims to explore new ways to improve sub-seasonal forecasting.
As part of the WMO Integrated Processing and Prediction System (WIPPS), this initiative contributes to the global effort to strengthen weather prediction capabilities through advanced technological tools. WIPPS notably supports National Meteorological and Hydrological Services (NMHSs) and end-users by integrating advanced science and technology to improve products and services related to weather and climate.
Competition structure
The AI Weather Quest consists of two main phases:
- Initial training phase (March - August 2025): Participants will have the opportunity to develop and refine their AI/ML models.
- Competition phase (August 2025 - September 2026): Teams will submit weekly, real-time sub-seasonal forecasts across four 13-week periods.
This structure allows teams to iteratively improve their models and evaluate their real-world forecasting performance.
Why participate?
The AI Weather Quest provides participants with the opportunity to:
- Enhance your expertise in AI/ML by tackling real-world forecasting challenges.
- Contribute to the evolution of weather forecasting methodologies, with the potential for your models to be integrated into operational systems.
- Connect with ECMWF and a global community of experts at the forefront of AI and meteorology.
- Showcase your innovative contributions on an international platform dedicated to advancing weather forecasting.
Inclusivity and participation
The competition is open to a diverse array of participants, including participants from international corporations, forecasting institutions, AI/ML experts, meteorologists, researchers, and students from various fields. The competition welcomes both individual participants and teams of up to 10 members.
No prior experience in weather forecasting is required; a strong interest in applying AI/ML to complex scientific challenges is essential.
ECMWF's commitment
As a leading institution in numerical weather prediction, and a contributor to the WIPPS, ECMWF is committed to advancing the use of AI/ML in operational forecasting. The AI Weather Quest is part of this effort, designed to identify and integrate innovative solutions into operational forecasting, addressing the growing demands of industries and communities worldwide.
Get involved!
To participate in the AI Weather Quest:
