This Building Data Genome Project 2 dataset provides hourly site weather information for nineteen locations in CSV format for analysis. The Building Data Genome Project 2 site weather data serves as a comprehensive resource for building performance simulation and energy benchmarking. This structured dataset includes critical meteorological variables such as air temperature, dew point, wind speed, cloud cover, and sea-level pressure. Each data point is recorded on an hourly basis, ensuring high-resolution temporal alignment with corresponding meter time series data. The information is curated to support rigorous computational investigations into building energy consumption patterns across diverse geographic sites, providing a standardized baseline for environmental and thermal analysis within the architectural and engineering design sectors.

The download is a single file containing .CSV files.

Professionals integrate these CSV files into energy modeling platforms, data analysis software, or custom Python and R scripts for performance benchmarking. Users typically map these hourly weather variables against building meter data to identify correlation patterns between external climate conditions and internal energy loads. The structured nature of the data allows for seamless ingestion into simulation engines, enabling designers to calibrate building models against historical site-specific environmental conditions and improve the accuracy of predictive energy usage projections.

This dataset is essential for researchers, MEP engineers, and sustainability consultants working on building performance optimization, retrofit feasibility studies, and climate-responsive design. It is particularly valuable during the early design and operational phases of commercial, residential, and industrial projects where accurate environmental context is required for energy modeling. Practitioners often search for this type of data when conducting benchmarking, load profile analysis, or developing machine learning models for building energy management systems, ensuring that design decisions are grounded in empirical, site-specific meteorological evidence.