Urban weather dataset for building energy simulations: Data collection and EPW file generation for Torino, Italy (2014–2023)Zenodo
This dataset provides urban climate data collected from seven weather stations in Torino, Italy, spanning the years 2014 to 2023. The weather stations, operated by ARPA Piemonte, measure key meteorological variables, including air temperature, relative humidity, wind speed and direction, atmospheric...
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| Language: | English |
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Elsevier
2025-08-01
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| Series: | Data in Brief |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S235234092500438X |
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| author | Ali JahaniRahaei Massimo Milelli Giacomo Chiesa |
| author_facet | Ali JahaniRahaei Massimo Milelli Giacomo Chiesa |
| author_sort | Ali JahaniRahaei |
| collection | DOAJ |
| description | This dataset provides urban climate data collected from seven weather stations in Torino, Italy, spanning the years 2014 to 2023. The weather stations, operated by ARPA Piemonte, measure key meteorological variables, including air temperature, relative humidity, wind speed and direction, atmospheric pressure, and solar radiation. The data, initially in CSV format, were processed using Python to clean and merge the variables, computing missing parameters such as splitting global irradiation into its components and generating an hourly dataset for each year. Subsequently, a Typical Meteorological Year (TMY) was generated following the ISO 15927-4 standard. Missing data points were estimated using various interpolation and statistical methods to ensure data completeness. Finally, the data were converted into EnergyPlus Weather (EPW) format using custom Python scripts. This dataset serves as a crucial resource for urban climate studies and building energy simulations. It is especially valuable for assessing urban heat island (UHI) effects, supporting the generation of accurate weather files for simulation purposes, and enabling the refinement of design choices in urban planning. The data pipeline can be applied to other cities with weather stations and can also be used in future updates for Torino. |
| format | Article |
| id | doaj-art-3a73463ef6b747449dd5afbc1cdf74ae |
| institution | DOAJ |
| issn | 2352-3409 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj-art-3a73463ef6b747449dd5afbc1cdf74ae2025-08-20T03:23:16ZengElsevierData in Brief2352-34092025-08-016111170810.1016/j.dib.2025.111708Urban weather dataset for building energy simulations: Data collection and EPW file generation for Torino, Italy (2014–2023)ZenodoAli JahaniRahaei0Massimo Milelli1Giacomo Chiesa2Department of Architecture and Design, Politecnico di Torino, Viale Mattioli 39, 10125 Torino, ItalyCIMA Foundation, Via A. Magliotto 2, 17100 Savona, ItalyDepartment of Architecture and Design, Politecnico di Torino, Viale Mattioli 39, 10125 Torino, Italy; Corresponding author.This dataset provides urban climate data collected from seven weather stations in Torino, Italy, spanning the years 2014 to 2023. The weather stations, operated by ARPA Piemonte, measure key meteorological variables, including air temperature, relative humidity, wind speed and direction, atmospheric pressure, and solar radiation. The data, initially in CSV format, were processed using Python to clean and merge the variables, computing missing parameters such as splitting global irradiation into its components and generating an hourly dataset for each year. Subsequently, a Typical Meteorological Year (TMY) was generated following the ISO 15927-4 standard. Missing data points were estimated using various interpolation and statistical methods to ensure data completeness. Finally, the data were converted into EnergyPlus Weather (EPW) format using custom Python scripts. This dataset serves as a crucial resource for urban climate studies and building energy simulations. It is especially valuable for assessing urban heat island (UHI) effects, supporting the generation of accurate weather files for simulation purposes, and enabling the refinement of design choices in urban planning. The data pipeline can be applied to other cities with weather stations and can also be used in future updates for Torino.http://www.sciencedirect.com/science/article/pii/S235234092500438XUrban climateEPW filesBuilding energy simulationsTorino weather dataTMYUHI effect |
| spellingShingle | Ali JahaniRahaei Massimo Milelli Giacomo Chiesa Urban weather dataset for building energy simulations: Data collection and EPW file generation for Torino, Italy (2014–2023)Zenodo Data in Brief Urban climate EPW files Building energy simulations Torino weather data TMY UHI effect |
| title | Urban weather dataset for building energy simulations: Data collection and EPW file generation for Torino, Italy (2014–2023)Zenodo |
| title_full | Urban weather dataset for building energy simulations: Data collection and EPW file generation for Torino, Italy (2014–2023)Zenodo |
| title_fullStr | Urban weather dataset for building energy simulations: Data collection and EPW file generation for Torino, Italy (2014–2023)Zenodo |
| title_full_unstemmed | Urban weather dataset for building energy simulations: Data collection and EPW file generation for Torino, Italy (2014–2023)Zenodo |
| title_short | Urban weather dataset for building energy simulations: Data collection and EPW file generation for Torino, Italy (2014–2023)Zenodo |
| title_sort | urban weather dataset for building energy simulations data collection and epw file generation for torino italy 2014 2023 zenodo |
| topic | Urban climate EPW files Building energy simulations Torino weather data TMY UHI effect |
| url | http://www.sciencedirect.com/science/article/pii/S235234092500438X |
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