OpenWeather Challenge OpenWeather Challenge 2025 Following the success of last year’s OpenWeather Challenge, we’re excited to launch a new edition for 2025, more ambitious and even more impactful. The OpenWeather Challenge 2025 invites you to develop data-driven projects using weather and environmental data. Whether you're creating an app, conducting research, or building tools to address climate or health challenges, this is your chance to make a real-world impact. From air quality modelling to AI-powered forecasting and resilient infrastructure design, your project can help shape a more resilient and informed future. In Collaboration With Imperial College London is a global leading university, known for excellence in science, engineering, and environmental research. Imperial is a key academic partner in this year’s challenge. 🌦️ Join the OpenWeather Community Hub We're creating a new space for everyone who works with or simply enjoys OpenWeather data - whether you're a student, hobbyist, developer, or researcher. Our official Discord community is a place to: Share your projects built with OpenWeather data and APIs Get help and advice from other users and the OpenWeather team Talk about products, ideas, and creative ways to use weather data Keep up with announcements, events, and community challenges Our main goal is simple - to support your projects, help you make the most of our data, and guide you in using OpenWeather products effectively. Whether you're building an app, analyzing climate trends, or learning how to integrate our APIs, we're here to make things easier, more collaborative, and more inspiring. This community is also part of our wider mission with the Weather Foundation UK - bringing together people who care about open data, learning, andinnovation in weather and climate science. Together, we want to make weather data more accessible and help anyone interested turn their ideas into real projects. 👉 Join the community Lead Partners from Imperial College London Professor Christopher Pain Professor of Computational Physics Head, Applied Modelling and Computation Group (AMCG), Imperial College London Prof. Pain leads the largest research group in Earth Science and Engineering at Imperial. His work focuses on numerical modelling, reduced-order systems, and AI applications in environmental science. He has published over 200 papers and received Imperial’s Research Excellence Award. Dr. Claire Heaney AI in Science Research Fellow Imperial-X & Department of Earth Science and Engineering, Imperial College London Dr. Heaney is an AI in Science Research Fellow at Imperial-X and the Department of Earth Science and Engineering. Her work focuses on reduced-order modelling, machine learning for scientific applications, and urban and environmental flows. She is a co-author of one of Wiley’s top-cited articles, introducing an autoencoder-based model for neutron diffusion. Philip Challinor Chartered Architect & Chartered Surveyor, UK Philip Challinor is a Chartered Architect and Surveyor with expertise in AI and machine learning for the built environment. His work focuses on digital innovation in real estate and sustainable development. He is a Past President of FIABCI UK and has served on several RICS boards, including the Sustainability Commission. Boyang Chen Research Associate Applied Modelling and Computation Group, Imperial College London Boyang is a Research Associate at the Applied Modelling and Computation Group (AMCG). He is currently working on the GP4Streets (DIY Greening Prescription for Climate Adaptation in Urban Streets), which is an innovative research project funded by UK Research and Innovation (UKRI) under the Maximising UK Adaptation to Climate Change initiative. Claire Dilliway Programme Manager Imperial College London Claire joined Imperial as a Programme Manager at Imperial College London in 2019 and is currently managing the AI4URBAN-HEALTH Network which seeks to develop AI-based solutions to improve urban health. She has managed a series of major interdisciplinary grants including AI-Respire which used AI to develop predictions of personal health response, INHALE which investigated the impact of air pollution on health response through a clinical study, air sampling campaigns and modelling, and COVAIR on airborne SARS-CoV-2 transmission. Previously, Claire spent 11 years at the Overseas Development Institute as Programme Operations and Business Manager. Supporting Partners Dr. Linbing Wang University of Georgia Professor Prashant Kumar University of Surrey Professor Rosie McEachan Born in Bradford, University of Bradford Dr. Romit Maulik Pennsylvania State University IMS Ahmedabad Chapter Indian Meteorological Society – Ahmedabad Branch How to Participate About the Challenge: We encourage you to think beyond traditional solutions and use technology - from AI to IoT and beyond - to apply weather data in original, unexpected ways. We welcome all types of projects, ranging from purely research/analytical endeavours to apps and programs. You are free to use any programming language for your backend; however, please ensure that your code is transparent and accessible through a public repository, such as GitHub. Please ensure all submissions to be made in English and represent your original work and ideas. After submission, your project will be available for further use by the OpenWeather community. OpenWeather Challenge Submission Form Please, fill in the required spaces below All entries must be submitted by November 21, 2025 Judging criteria Originality: Unique use of weather or environmental data. Impact: Relevance to real-world challenges. Presentation: Clarity and engagement of the submission. Documentation: Technical completeness and transparency. Judging panel Philip Challinor Chartered Architect & Chartered Surveyor, UK Imperial College London Professor Christopher Pain Professor of Computational Physics Imperial College London Dr. Olga Buskin Head of People, Culture and Sustainability OpenWeather Dan Hart Chief Meteorologist OpenWeather Timeline October 13, 2025Challenge Opens November 21, 2025Submission Deadline November 2025Judging & Review December 16, 2025 at Imperial College LondonWinners Announced 1st place £ 1 000 A certificate of achievement, a feature about the project in a blog article on OpenWeather website, internship opportunity with OpenWeather. 2nd place £ 500 A certificate of achievement, social media recognition. 3rd place £ 300 And a certificate of achievement. We will announce the winners on 16 December, with the awards ceremony taking place at ICL’s Department of Earth Science and Engineering More Details Ready to Get Started? 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