Analysis of trade-offs in urban heat mitigation using a Bayesian Optimization framework for an urban canopy layer model

To mitigate the challenges of climate change and intensifying heat stress in urban areas, local adaptation strategies are discussed and introduced in cities worldwide. To understand processes and potential trade-offs of these strategies a Bayesian optimization and surrogate modeling framework was em