This master’s thesis aims at showing the potential of using open source weather data, from a public network, for the generation of local weather files and for climate analyses in the built environment domain. The first step consists in the massive download of weather data from a weather stations’ network. The data is organized and stored in a time-series database (InfluxDB). This local data is then used as input for some self-developed tools, able to generate standard weather file formats, such as EnergyPlus Weather (EPW) files and Typical Meteorological Year (TMY) files, used for dynamic building simulations. The results in a location near Turin are then compared to the ones gathered using a combination of the ERA5, ERA5-Land and CERRA reanalysis models’ data as input, to show how the latter often underestimate the local dry-bulb air temperature in urban areas and, more in general, the required cooling.