Large-scale climate models and local simplified models for urban allowance in deducing effectiveness of various intervention scenarios for energy use reduction associate to urban-microclimate

The aim of this work is to combine a) climatic information through large scale climate models such as Global Climate Models (GCMs), and Regional Climate Models (RCMs) and b) urban scale field measurements to provide urban microclimate information. The general scope is to use the climate information as a basis for the simulation of climate change scenarios and evaluation of mitigation and adaptation scenarios for heat stress mitigation. 

The relative humidity is systematically underestimated in the RCMs. However, it could be because the relative humidity is strongly influenced by anthropogenic sources, soil composition, vegetation, etc. Unlike the measured data, the influence of these parameters is not considered in the RCMs. A good agreement is observed between the RCM data and field measurements of air temperature, especially for the first two days.