Multi-Model Future Typical Meteorological (fTMY) Weather Files for nearly every US County
- ORNL
Exploring climate-induced impacts on building energy consumption can provide valuable insights for sustainable energy planning and environmental management in the face of a changing climate. By utilizing future weather data statistically downscaled from the Intergovernmental Panel on Climate Change (IPCC) General Circulation Models (GCMs) from 2020-2100, this paper presents a broadening industry-consensus approach for generating future Typical Meteorological Year (fTMY) weather files through a combination of statistical downscaling and high-performance computing that generalizes across decades, multiple locations for a region, and varying climate models. These fTMY files have been generated for 3,128 US counties for capturing potential weather on a 20-year basis.
- Research Organization:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE)
- DOE Contract Number:
- AC05-00OR22725
- OSTI ID:
- 2224182
- Resource Relation:
- Conference: 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys 2023) - Istanbul, , Turkey - 11/15/2023 5:00:00 AM-11/16/2023 5:00:00 AM
- Country of Publication:
- United States
- Language:
- English
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