Effect of climate change on building cooling loads in Tokyo in the summers of the 2030s using dynamically downscaled GCM data

Strategy for achieving long-term energy efficiency of European single-family buildings through passive climate adaptation

“…For this reason, weather file "morphing" methods have been developed to produce design weather data for use in building thermal response simulations that account for future climate change. Several examples of these methods, but not all, were presented by Jentsch et al [14], Arima et al [15], Belcher et al [16], Soga [17] and Jiang et al [18]. Morphing combines the observed weather data with climate change models [16].…”

Making energy simulation easier for future climate – Synthesizing typical and extreme weather data sets out of regional climate models (RCMs)

“…They established a Dual-Periodic Time Series Model (TSM) which has shown more accurate results for the recent two years than their considered GCM under RCP4.5. Arima et al [66] constructed a prototype of the near-future design weather data of the 2030 s. They used RCM data and selected a representative weather data for the average conditions during 10-year periods among the results of downscaled weather data. Afterwards the representative data were corrected with observations to reduce bias of RCM and GCM.…”

Cooling and heating energy performance of a building with a variety of roof designs; the effects of future weather data in a cold climate

“…Researchers have increasingly been using General Circulation Models (GCMs) to predict future weather patterns affected by climate change. So far, several methodologies have been developed to integrate these predictions into weather files which is used to reliably prepare for the eventuality of climate change [12] [13] [14]. Jentsch et al [15] discussed the importance of climate change adaptability in planning for future climate scenarios into the widely used TMY2 weather file formats.…”