AI4Urban Climate Sciences

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

Project 01: Cloud Computing

Simulation Toolkit

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

Project 02

Reinforcement Learning

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

Project 03

AutoML Emulation

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

Project 04

Physics-Guided AI

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