A free, open-source R package called ‘epwshiftr’ for adapting EnergyPlus Weather (EPW) files to incorporate climate change predictions using the morphing method. The focus of this package is to automatically process big amounts of climate change model data from the latest CMIP6 GCMs and create future EPW files for world-wide locations in a user-friendly and flexible way. It is capable of processing multiple GCM outputs at various spatial and temporal resolutions. The package is designed into a modularity style. Each module stores data in a standard data format, which allows to explore a considerably broad pool of ready-to-use methods available in R for customized statistical analysis. Most computational-intensive processes have been designed to run in parallel for speed-up.
This research is supported by the National Research Foundation, Prime Minister’s Office, Singapore under its Campus for Research Excellence and Technological Enterprise (CREATE) programme. It was funded through a grant to the Berkeley Education Alliance for Research in Singapore (BEARS) for the Singapore-Berkeley Building Efficiency and Sustainability in the Tropics (SinBerBEST) Program. BEARS has been established by the University of California, Berkeley as a center for intellectual excellence in research and education in Singapore.