Long-term heat demand scenarios under climate change utilising a stochastic dynamic building stock model: Morphed hourly outdoor temperatures for Jyvaskyla for 2030 and 2050
Description
******************* Please view the README.txt or README.md file for detailed documentation of data. ********************
Title: Long-term heat demand scenarios under climate change utilising a stochastic dynamic building stock model: Morphed hourly outdoor temperatures for Jyväskylä for 2030 and 2050
Date of release: 25/11/2020
Identifier: 10.5281/zenodo.4275759
Permalink: http://dx.doi.org/10.5281/zenodo.4275759
Associated publication: Hietaharju, P.; Louis, J.-N.; Pulkkinen, J.; Ruusunen, M. Long-term heat demand scenarios under climate change utilising a stochastic dynamic building stock model, Under Review, 2020.
Suggested citation: Please reference the associated publication above when using any datasets or materials described in the README.txt and README.md files.
Contact information: Jari Pulkkinen, University of Oulu, Oulu, Finland, jari.pulkkinen@oulu.fi; Jean-Nicolas Louis, University of Oulu, Oulu, Finland, jean-nicolas.louis@oulu.fi
Dates of data: 2030, 2050
Type of data: Outdoor Temperature
Geographic location: Jyväskylä
Time resolution: hourly, full year
Format: All data is stored in .csv files
Number of files: 1 .zip --> 50 files + README.txt + README.md
This directory contains the following datasets: A summary of all the files has been compiled and stored in the "README.txt" and "README.md" files
Notifications:
Contains modified Copernicus Climate Change Service (C3S) information [2018] and modified Finnish Meteorological Institute [2017,2019] information from etsin.fairdata.fi and from Open data repository (https://en.ilmatieteenlaitos.fi/open-data).
Contains modified Climate One Building information [2019] (reference Lawrie L.K. and Crawley D.B. 2019) and Test Reference Year 2012 (TRY2012) information from Jylhä et al. [2011] and Jylhä et al. [2015] (Energy demand for the heating and cooling of residential houses in Finland in a changing climate).
Contains modified Ruosteenoja et al. [2016] information.
Other data and information sources are described in README.txt, README.md, references and on the associated publication.
Notes
Files
Morphed hourly outdoor temperatures for Jyvaskyla for 2030 and 2050.zip
Additional details
Funding
- Research Council of Finland
- Smart energy networks 2050: Modelling of energy and information fluxes, impact of user response on decarbonisation 287748
References
- Belcher, S. E., Frmets, M. P., Hacker, J. N., Mima, C. M., Powell, D. S., and Msc, M. A., 2005. Constructing design weather data for future climates. Building Serv. Eng. Res. Technol. [online], 26 (1), 49–61. Available from: http://www.weather-shift.com/Constructing Design Weather.pdf doi: 10.1191/0143624405bt112oa
- European Climatic Energy Mixes (ECEM) Demonstrator created by Copernicus Climate Change Service (C3S), http://ecem.wemcouncil.org
- Finnish Meteorological Institute, 2019. Open data repository, https://en.ilmatieteenlaitos.fi/open-data
- Finnish Meteorological Institute, 2017. Daily maximum temperature predictions, 1981-2100 [online]. Dataset - etsin.fairdata.fi. Available from: http://urn.fi/urn:nbn:fi:csc-kata20180918103914033689 [Accessed 16 Nov 2020].
- Finnish Meteorological Institute, 2017. Daily mean temperature predictions, 1981-2100 [online]. Dataset - etsin.fairdata.fi. Available from: http://urn.fi/urn:nbn:fi:csc-kata20180918114340806244 [Accessed 16 Nov 2020].
- Finnish Meteorological Institute, 2017. Daily minimum temperature predictions, 1981-2100 [online]. Dataset - etsin.fairdata.fi. Available from: http://urn.fi/urn:nbn:fi:csc-kata20180918114342932242 [Accessed 16 Nov 2020].
- Finnish Meteorological Institute, 2017. Monthly mean precipitation and temperature predictions, 1975-2085, 10 km [online]. Dataset - etsin.fairdata.fi. Available from: http://urn.fi/urn:nbn:fi:csc-kata20171023170231365082 [Accessed 16 Nov 2020].
- Jylhä, K., Kalamees, T., Tietäväinen, H., Ruosteenoja, K., Jokisalo, J., Hyvönen, R., Ilomets, S., Saku, S., and Hutila, A., 2011. Rakennusten energialaskennan testivuosi 2012 ja arviot ilmastonmuutoksen vaikutuksista (Test reference year 2012 for building energy demand and impacts of climate change) [online]. Helsinki. Finnish Meteorological Institute. Available from: http://hdl.handle.net/10138/33069.
- Jylhä, K., Jokisalo, J., Ruosteenoja, K., Pilli-Sihvola, K., Kalamees, T., Seitola, T., Mäkelä, H. M., Hyvönen, R., Laapas, M., and Drebs, A., 2015. Energy demand for the heating and cooling of residential houses in Finland in a changing climate. Energy and Buildings, 99, 104–116. doi: 10.1016/J.ENBUILD.2015.04.001
- Jylhä, K., Ruosteenoja, K., Jokisalo, J., Pilli-Sihvola, K., Kalamees, T., Mäkelä, H., Hyvönen, R., and Drebs, A., 2015. Hourly test reference weather data in the changing climate of Finland for building energy simulations. Data in Brief [online], 4, 162–169 doi: 10.1016/J.DIB.2015.04.026.
- Lawrie, L. K. and Crawley, D. B., 2019. Development of Global Typical Meteorological Years (TMYx) [online]. Available from: http://climate.onebuilding.org [Accessed 26 Oct 2020]
- Ruosteenoja, K., Jylhä, K., and Kämäräinen, M., 2016. Climate projections for Finland under the RCP forcing scenarios. Geophysica [online], 51 (1–2), 17–50. Available from: http://www.geophysica.fi/pdf/geophysica_2016_51_1-2_017_ruosteenoja.pdf
- Räisänen, J. and Räty, O., 2013. Projections of daily mean temperature variability in the future: cross-validation tests with ENSEMBLES regional climate simulations. Climate Dynamics, 41 (5–6), 1553–1568. doi: 10.1007/s00382-012-1515-9