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用于芬兰于韦斯屈莱建筑热能需求模拟的近期和中期每小时变形平均及极端未来温度数据集。

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

作者信息

Pulkkinen Jari, Louis Jean-Nicolas

机构信息

University of Oulu, Faculty of Technology, Water, Energy and Environmental Engineering, PO Box 4300, Oulu FI-90014, Finland.

出版信息

Data Brief. 2021 Jun 10;37:107209. doi: 10.1016/j.dib.2021.107209. eCollection 2021 Aug.

DOI:10.1016/j.dib.2021.107209
PMID:34189201
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8215183/
Abstract

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.

摘要

为芬兰于韦斯屈莱创建了近中期逐小时变形的室外温度文件,用于建筑能耗模拟。这些未来室外温度文件是根据一种统计降尺度方法——变形法创建的,该方法同时利用逐小时的基线数据以及月度和每日的未来气候预测数据。所使用的基线数据包括代表“典型”气候年的逐小时测试参考年数据和典型气象年数据,并附加了基于最接近1月的最冷和最暖天气创建的气象文件,以代表极端天气文件。气候变化数据包括来自2个不同数据存储库的气候变化预测数据,这些数据来自全球气候模型或区域气候模型针对RCP2.6、RCP4.5和RCP8.5气候变化情景的模拟结果。将所有5种不同的基线情景与每种可用的气候情景进行变形处理,可为2030年(近期)创建25个未来室外温度文件,为2050年(中期)创建25个文件。所创建的文件被用于[1]中模拟建筑物未来的热能需求。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c022/8215183/7f6ae37df43a/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c022/8215183/a354bd73b780/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c022/8215183/77e95af09596/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c022/8215183/bc233d193e9e/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c022/8215183/7f6ae37df43a/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c022/8215183/a354bd73b780/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c022/8215183/77e95af09596/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c022/8215183/bc233d193e9e/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c022/8215183/7f6ae37df43a/gr4.jpg

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本文引用的文献

1
Hourly test reference weather data in the changing climate of Finland for building energy simulations.用于建筑能耗模拟的芬兰气候变化中每小时测试参考气象数据。
Data Brief. 2015 May 19;4:162-9. doi: 10.1016/j.dib.2015.04.026. eCollection 2015 Sep.