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Workshop: Urban Weather Intelligence in the Cloud

Dates:16 January 2026
Times:10:00 - 13:00
What is it:Workshop
Organiser:Department of Earth and Environmental Sciences
Venue opening hours:10am - 1pm, subject to adjustment depending on the number of attendees
Who is it for:Adults
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  • By Department of Earth and Environmental Sciences

Unlock the power of hyper-local weather forecasting.

Join us for a collaborative workshop focused on enhancing urban weather modeling. This workshop dives deep into Urban Weather Intelligence, showing how cloud-based platform enable urban weather and climate modelling.

The workshop is funded by UKRI IAA Starter Fund, UoM-CUHK Joint Research Fund, and Amazon Web Services (AWS), in collaboration with Manchester Climate Ready and Urban360. We are also looking forward to AI-enabled urban weather modelling/assessment/adaptation. Workshop Details

Participants from industry, local government, and stakeholder organisations are welcome to register.

Cities experience weather very differently from their surrounding regions. Dense buildings, roads, and human activities reshape wind, temperature, and heat extreme, directly affecting public health, infrastructure, energy demand, and climate resilience. Understanding and managing these urban weather impacts requires advanced modelling tools that go beyond traditional approaches.

This event introduces urban weather and environmental models, which belong to the same class of physics-based models used by national weather services, but are re-engineered to run efficiently on cloud infrastructure. We will demonstrate how complex urban processes can be simulated at neighbourhood scale using cloud computing, without the need for on-premise supercomputers.

A central focus of the event is CLMU-Cloud, a cloud-enabled urban modelling platform developed with support from Amazon Web Services (AWS). The platform allows users to run and analyse historical and counterfactual urban weather simulations directly on AWS, providing actionable insights for applications such as infrastructure vulnerability assessment, public health risk evaluation, emergency response planning, and climate-informed urban design. This significantly lowers the technical barriers for non-academic users, including urban planners, environmental consultancies, infrastructure operators, and climate-tech companies.

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