| Summary: | Morphed extreme weather data for 2 Finnish locations: Vantaa and Sodankylä. Created for "Near-, medium- and long-term impacts of climate change on the thermal energy consumption of buildings in Finland under RCP climate scenarios" publication ( https://doi.org/10.1016/j.energy.2024.131636 ). Used climate change scenarios are RPC2.6, RCP4.5 and RCP8.5. Data is created for 2030, 2050 and 2080 and includes 6 extreme weather scenarios: W1 - Winter with high heating demand W2 - Winter with low heating demand W3 - Winter with thecoldest individual day by average temperature S1 - Summer with the lowest cooling demand S2 - Summer with the highest heating demand S3 - Summer with the warmest individual day by average temperature Selected years and the procedure for their selection are described in https://doi.org/10.1016/j.energy.2024.131636 . Original weather data is downloaded for the selected years from Finnish Meteorological Institute's Open data repository:https://www.ilmatieteenlaitos.fi/havaintojen-lataus under CC BY 4.0 licence. Future change in climate is based on Finnish Meteorological Institute's data used in creating Test Reference Year weather files ( https://www.ilmatieteenlaitos.fi/energialaskenta-try2020 ) for which the climate change data is presented by Ruosteenoja et al. (2016). The data is statistically downscaled through a method called morphing created by Belcher et al. (2005)with some parts using methods from Räisänen & Räty (2013) and Jylhä et al, (2015). Morphing was computationally conducted through created software https://github.com/japulk/Weather-Morphing-Tool For additional information please refer to original article or contact the authors.
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