The Prediction of Microclimatic Parameters and Thermal Comfort Assessment in Medium Size Mediterranean City

Nowadays, most of the population worldwide are citizens. Urban microclimate is considered as a major issue and affects thermal comfort conditions in outdoor spaces. There are several methods to calculate the microclimate parameters. Some of these methods are based on software models and remote sensing techniques. In the current study, a microclimatic survey in a medium sized Mediterranean city, gave the opportunity of developing several regression models that are able to predict microclimatic parameters. These kind of models are able to be integrated to both software models and remote sensing techniques. Their ability is testing against in-situ measurements and their results are comparing against other software models as well. The results revealed good performance concerning weather parameters. However, some inaccuracies came up concerning the predictability of the mean radiant temperature. Finally, the adoption of a thermal index that is not based on mean radiant temperature, showed good performance of regression models, both integrated to software models and remote sensing techniques. In case of remote sensing techniques, though, the sample was rather small and therefore, this kind of integration should be further investigated