🔥 News
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2026.08: Recently, I’ve been teaching a summer research workshop for undergraduate students from various universities in China. The curriculum covers basic cloud computing server operations, automated machine learning, and hands-on practice with the Joint UK Land Environment Simulator (JULES).
Student from: Peking University · Zhejiang University · Jilin University
🔗 Course news: Data Science Empowers Environmental Science – Machine Learning Practice
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2026.08: 🎉🎉 The paper (first author) Evaluating ERA5-Land air temperature and dew point biases in built-up environments in the UK was published in Urban Climate.
Collaboration: Pacific Northwest National Laboratory · Microsoft AI · Wuhan University
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2026.08: 🎉🎉 The paper (first author) Optimizing the Rainwater Harvesting and Roof Sprinkling System to Adapt to Urban Extreme Heat was featured by:
The University of Manchester ·
The National ·
Euronews ·
The Economic Times ·
Water Magazine
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2026.08: 🎉🎉 The paper (first author) Optimizing the Rainwater Harvesting and Roof Sprinkling System to Adapt to Urban Extreme Heat was published.
Collaboration: NSF NCAR · Peking University · University of Illinois Urbana‑Champaign
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2026.06: 🎉🎉 Invited talk: "Cloud Computing and AI Accelerate Scientific Research: Taking Urban Climate as an Example" at University of Shanghai for Science and Technology.
Hosts: Prof. Hongliang Zhang (张宏亮) · Prof. Yangzhou Wu (吴杨周)
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2026.05: 🎉🎉 Presented at EGU 2026.
View abstract →
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2026.02: 🎉🎉 Presented at Land Model and Biogeochemistry Working Group Meeting 2026 – CESM Land Working Group session.
Agenda link → | It’s a great honor to be a member of the Land Working Group.
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2026.01: 🎉🎉 Hosted workshop: Urban Weather Intelligence in the Cloud at The University of Manchester.
Funded by UKRI Impact Acceleration Account Starter Fund · A public workshop with companies, government, and university staff engaged.
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2025.12: 🎉🎉 The paper (first author) Empowerment of Accurate Modeling of Anaerobic Membrane Bioreactors by Automated Machine Learning was published.
Collaboration: The University of Tokyo
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2025.12: 🎉🎉 The paper (first author) Leveraging Automated Machine Learning (AutoML) for Urban Climate Emulation was published.
Collaboration: NCAR · University of Illinois Urbana‑Champaign · Google DeepMind
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2025.10: 🎉🎉 Launched: pyclmuapp cloud‑based platform – free web‑based urban climate information and model simulations for all users.
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2025.06: 🎉🎉 Named as an important contributor to The University of Manchester Open Research Award 2025 (awarded annually).
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2025.06: 🎉🎉 Presented at CESM Workshop 2025 – 30th Annual CESM Workshop, Land Working Group session.
Agenda link →
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2025.05: 🎉🎉 Hosted workshop: Urban Climate Resilience Workshop at The University of Manchester.
Funded by UKRI Impact Acceleration Account Starter Fund & UoM‑CUHK Joint Research Fund · First time as moderator for a public workshop.
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2025.03: 🎉🎉 Coordinator of Seminar of Centre for Atmospheric Science 2025 at the Department of Earth and Environmental Sciences, The University of Manchester.
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2025.03: 🎉🎉 The pyclmuapp paper – Integration and Execution of Community Land Model Urban (CLMU) in a Containerized Environment – was published.
Received praise and acknowledgment from reviewers.
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2024.11: 🔥🔥 Released pyclmuapp – a user‑friendly toolkit for running Community Land Model Urban (CLMU) simulations.
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2024.05: 🔥🔥 Released obswx – a Python package for accessing observational meteorological data.
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2024.03: 🔥🔥 Released CLMU‑App – a container for operating‑system‑independent urban climate simulations.
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2023.09: 🎉🎉 Awarded Significant Contributor at City Brain Open Research – Open Data Computing Workshop on Urban Climate, Yunqi Town, Hangzhou, China.
