Generative urban climate modeling using coupled GAN–UWG frameworks: Morphological strategies for transformation and adaptive heat mitigation

Key Points

• Adaptive heat mitigation strategies reduced urban heat islands effectively across diverse scenarios, improving local climate conditions.
• The analysis employed a coupled generative adversarial network and urban weather generator, focusing on morphological interventions.
• Findings support the integration of advanced modeling techniques for climate resilience in urban planning frameworks.
• Further exploration is necessary to implement these strategies on a larger scale across different cities.