AI4Urban Climate Sciences

| AI | Cloud Computing | Numerical Model | Optimization | Physics | Energy |

Cloud Computing

Simulation Toolkit

Pyclmuapp: An integration of the Community Land Model Urban (CLMU) in a containerized environment for accessible climate modeling.

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AI + Optimization + Model Development

Climate Adaptation Design

RWTSP-Opt: Coupling a new urban climate model process with AI surrogates and multi-objective optimization to design heat-resilient, water-aware cities.

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Reanalysis Evaluation

Urban Climate Data Bias

ERA5-Land UK: Evaluating temperature and dew point biases in built-up environments and tracing their impacts on heat risk and building energy studies.

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Reinforcement Learning

Reinforcement Learning

CLMU-RL: AI-driven optimization strategies for urban resilience, managing energy trade-offs and thermal comfort.

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AutoML Emulation

AutoML Emulation

UrbFLAML: Efficient, low-carbon urban climate emulation via Automated Machine Learning (AutoML).

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Physics-Guided AI

Physics-Guided AI

UCformer: A Physics-Guided Transformer architecture for simulating nonlinear urban surface-atmosphere interactions.

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