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

******************* 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, <strong><em>Under Review</em></strong>, 2020. Suggested citation: Please reference the associated publication above when using any datasets or materials described in the README.txt and README.md files. <br> Contact information: Jari Pulkkinen, University of Oulu, Oulu, Finland, [e-mail]; Jean-Nicolas Louis, University of Oulu, Oulu, Finland, [e-mail]<br> 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 --&gt; 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). <br> 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.请查看"README.txt"或"README.md"文件以获取本数据集的详细文档说明。 数据集标题：基于随机动态建筑存量模型的气候变化长期热需求情景：于韦斯屈莱2030年与2050年经情景映射调整的逐时室外气温数据集 发布日期：2020年11月25日 标识符：10.5281/zenodo.4275759 永久链接：http://dx.doi.org/10.5281/zenodo.4275759 关联出版物：Hietaharju, P.; Louis, J.-N.; Pulkkinen, J.; Ruusunen, M. 《气候变化背景下基于随机动态建筑存量模型的长期热需求情景》，<strong><em>待刊</em></strong>，2020。 建议引用方式：使用本"README.txt"与"README.md"中描述的任何数据集或材料时，请引用上述关联出版物。 联系方式：Jari Pulkkinen，奥卢大学，芬兰奥卢，邮箱：[e-mail]；Jean-Nicolas Louis，奥卢大学，芬兰奥卢，邮箱：[e-mail] 数据覆盖年份：2030年、2050年 数据类型：室外气温 地理位置：于韦斯屈莱（Jyväskylä） 时间分辨率：逐时，全年 数据格式：所有数据均存储于.csv格式文件中 文件数量：1个.zip压缩包包含50个数据文件 + "README.txt" + "README.md" 本数据集目录包含以下内容：所有文件的汇总说明已整理并存储于"README.txt"与"README.md"文件中。 数据声明：本数据集包含修改自哥白尼气候变化服务局（Copernicus Climate Change Service, C3S）[2018]以及芬兰气象研究所（Finnish Meteorological Institute）[2017,2019]的信息，数据来源于etsin.fairdata.fi与开放数据仓库（https://en.ilmatieteenlaitos.fi/open-data）。包含修改自Climate One Building[2019]（参考文献Lawrie L.K.与Crawley D.B. 2019）以及Jylhä等人[2011]、Jylhä等人[2015]的2012年测试参考年（Test Reference Year 2012, TRY2012）信息，该文献主题为“气候变化背景下芬兰住宅建筑供暖与制冷能耗需求”。包含修改自Ruosteenoja等人[2016]的信息。其他数据与信息来源详见"README.txt"、"README.md"、参考文献以及关联出版物。