Near- and medium-term hourly morphed mean and extreme future temperature datasets for Jyväskylä Finland for building thermal energy demand simulations

摘要

Near- and medium-term hourly morphed outdoor temperature files were created for Jyväskylä, Finland, to be used in building energy simulation. These future outdoor temperature files were created according to a statistical down-scaling method, morphing, which utilizes both hourly baseline data, and monthly and daily future climate projections. The used baseline data included hourly test reference year and typical meteorological year data to represent a “typical” climate year, and were appended with weather files created based on the coldest and warmest near Januaries to represent extreme weather files. Climate change data included climate change projection data from 2 different data repositories for either results from Global Climate Model or Regional Climate Model simulations for RCP2.6, RCP4.5 and RCP8.5 climate change scenarios. Morphing all 5 different baseline scenarios with each of the available climate scenarios creates 25 future outdoor temperature files for 2030 (near-term) and 25 files for 2050 (medium-term). The created files were used in [1] to simulate future thermal energy demand in buildings.