🌍 Established in 2022 by Dr. Zhonghua Zheng at The University of Manchester (UK), the Environmental Data Engineering and Science (envdes) Lab focuses on advancing both the engineering and science of environmental data.
We work at the interface of 🌫️ air quality, 🌆 urban climate, and 📊 data-driven modelling, aiming to develop open, actionable tools for a healthier and more sustainable planet.
To promote open and reproducible research in environmental data engineering and science through:
- 💻 Open-source software development
- 🧮 Numerical model development and enhancement
- 🤖 AI-driven model integration with physical simulations and real-world data
- 🛠️ Scalable environmental data pipelines and infrastructure
We believe that transparency and accessibility are key to enabling real-world impact.
We investigate the causes, estimation, and impacts of:
- 🌆 Urban climate dynamics and heat mitigation strategies
- 🌫️ Air pollution (e.g., ozone and fine particulate matter)
Our methods integrate:
- Physics-informed and data-driven approaches
- Cloud-native and high-performance computing workflows
- Open environmental datasets
🌟 Stay open. Stay scalable. Stay impactful. We welcome collaborations across disciplines and sectors!
