Overview
The Weather4cast Challenge is set to take place as part of the NeurIPS 2025 Competition Track. This event invites participants to engage in cutting-edge research on weather forecasting using advanced machine learning techniques. The challenge emphasizes the development of Foundation Models through multi-modal, multi-scale, and multi-task approaches, leveraging a comprehensive dataset that includes high-resolution rain radar data.
Background & Relevance
Weather forecasting is a critical area within machine learning, where accurate predictions can significantly impact various sectors, including agriculture, disaster management, and urban planning. The integration of multi-modal data sources enhances the predictive capabilities of models, allowing for more robust and reliable forecasts. This challenge aims to explore the generalization performance of probabilistic models and their emergent capabilities across various downstream tasks, which is essential for advancing the field of AI in meteorology.
Key Details
- Competition Website: Weather4cast Challenge
- Challenge Tracks:
- Cumulative rainfall prediction
- Severe weather events prediction
- Atmospheric pollution forecasting
- Timeline:
- 2 August: Leaderboards open
- 9 November: Test dataset submission deadline
- 12 November: Deadline for abstract and code submissions (short scientific papers of 4–8 pages + references must be on arXiv.org, with code and parameters on GitHub.com)
- 16 November: Acceptance notification
Eligibility & Participation
The Weather4cast Challenge is open to researchers, practitioners, and students interested in advancing the field of weather forecasting through machine learning. Participants are encouraged to collaborate and share insights, making this an excellent opportunity for networking and knowledge exchange.
Submission or Application Guidelines
To participate in the Weather4cast Challenge, follow these steps:
1. Visit the Weather4cast Challenge website to register and access the competition materials.
2. Prepare your submissions, ensuring that your short scientific paper is uploaded to arXiv.org and your code is available on GitHub.com by the specified deadlines.
3. Engage with the community by signing up for the forums to discuss strategies and solutions with other participants.
More Information
The Weather4cast Challenge represents a significant step towards enhancing the capabilities of AI in meteorology. By focusing on multi-modal data integration and advanced predictive modeling, this competition not only fosters innovation but also contributes to the broader understanding of how machine learning can be applied to real-world challenges in weather forecasting.
Conclusion
The Weather4cast Challenge at NeurIPS 2025 offers a unique platform for researchers and practitioners to showcase their skills in weather prediction. Participants are encouraged to explore this opportunity, contribute their insights, and collaborate with others in the field. Join the challenge and push the boundaries of what is possible in weather forecasting through AI.
Category: Conferences & Workshops
Tags: neurips, weather forecasting, machine learning, multi-modal ai, foundation models, data fusion, super-resolution, cumulative rainfall, severe weather, pollution forecasting, competitions, data science
