Ten years, seven stations
Ten years of local observations become seven EnergyPlus-compatible typical meteorological year files for different urban and suburban conditions.
Work
Urban Microclimate
Research connecting local weather observations, open urban datasets, simulation-ready files, and city geometry to study how climate conditions vary across Torino.
Stage
Seven weather files for one city.
The first public outcome is a Torino dataset with EPW files for seven stations, supported by an open publication and a city-model workflow for further urban-climate research.
Open files and method
The Torino EPWs article and Zenodo dataset publish the method, limitations, and simulation-ready files for reuse.
Geometry for the next studies
A Grasshopper and Rhino workflow turns shapefile attributes into structured city geometry for future neighborhood-scale analysis.
Backstage
How I prepared local weather for reuse.
I connected measured records, cleaning rules, ISO typical-year methods, EPW generation, validation, and parametric city modeling, while keeping clear which methods belong to each outcome.
I cleaned the station records
I used a traceable Python workflow to clean, complete, standardize, convert, and validate the fragmented observations.
I kept the local differences
I preserved several stations because one generic airport weather file cannot describe the variation within the city.
I prepared the city geometry
I turned spatial attributes into structured urban geometry for later microclimate and performance studies.