Dataset for Future probabilistic hot summer years for overheating risk assessments

Future hot summer years to be used for assessing risk of overheating and heat stress under a changing climate. They were created in two alternative ways: one is based on Weighted Cooling Degree Hours, the other is based on Physiologically Equivalent Temperature.

Climate and climate change
Environmental planning

Cite this dataset as:
Liu, C., 2016. Dataset for Future probabilistic hot summer years for overheating risk assessments. Bath: University of Bath Research Data Archive. Available from:


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application/zip (37MB)


Chunde Liu
University of Bath


University of Bath
Rights Holder


Collection date(s):

From 10 November 2014 to 15 June 2015

Temporal coverage:

From 1 January 2040 to 31 December 2069

Time period:

This weather files are used for predicting overheating risk in the future.

Geographical coverage:



Data collection method:

Future weather data was generated by UKCP09 weather generator. Weather data in 2050s under high emission scenario was generated for fourteen UK locations.

Data processing and preparation activities:

UKCP09 weather generator provides future weather data which were used for creating new future weather files to be used in building simulation packages.

Technical details and requirements:

The future weather files are in the format of epw which can be used in building simulation packages such as EnergyPlus, DesignBuilder and IES. Any software which opens text file can be used to view the data.


Engineering and Physical Sciences Research Council (EPSRC)

COLBE - The Creation of Localized Current and Future Weather for the Built Environment

Publication details

Publication date: 2016
by: University of Bath

Version: 1


URL for this record:

Related papers and books

Liu, C., Kershaw, T., Eames, M.E., and Coley, D.A., 2016. Future probabilistic hot summer years for overheating risk assessments. Building and Environment, 105, 56-68. Available from:

Contact information

Please contact the Research Data Service in the first instance for all matters concerning this item.

Contact person: Chunde Liu


Faculty of Engineering & Design
Architecture & Civil Engineering