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 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

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

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

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

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

University of Georgia

Dr. Linbing Wang

University of Georgia

University of Surrey

Professor Prashant Kumar

University of Surrey

Born in Bradford, University of Bradford

Professor Rosie McEachan

Born in Bradford, University of Bradford

Pennsylvania State University

Dr. Romit Maulik

Pennsylvania State University

Indian Meteorological Society – Ahmedabad Branch

IMS Ahmedabad Chapter

Indian Meteorological Society – Ahmedabad Branch

How to Participate

About the Challenge:

  1. 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.
  2. We welcome all types of projects, ranging from purely research/analytical endeavours to apps and programs.
  3. 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.
  4. Please ensure all submissions to be made in English and represent your original work and ideas.
  5. 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

Any submissions which are in any way similar to any official products or services of Openweather, and this includes any proposed products or services which are currently in development and have not been publicly released by Openweather, are expressly acknowledged by all entrants as purely coincidental. An entrant shall have no right to claim that their submissions have been unlawfully copied, reproduced or utilised by Openweather. Openweather, in its absolute discretion, may refuse a submission to protect its own legitimate commercial business interests.

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

Philip Challinor

Chartered Architect & Chartered Surveyor, UK

Imperial College London

Professor Christopher Pain

Professor Christopher Pain

Professor of Computational Physics

Imperial College London

Olga Buskin

Dr. Olga Buskin

Head of People, Culture and Sustainability

OpenWeather

Dan Hart

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.

office

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?

About us

OpenWeather is a team of IT experts and data scientists that has been practising deep weather data science since 2014. For each point on the globe, OpenWeather provides historical, current and forecasted weather data via light-speed APIs. Headquarters in London, UK.

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