Dataset for “The week that will be: communicating climate change and the impact of climate change via extreme weeks”

1194 51 16345 6 55099 document 16345 TYPE_J01.zip application/zip b9480b6ff437dc065c7374ce1f1cf647 MD5 6099868155 2022-09-09 16:23:34 https://researchdata.bath.ac.uk/1194/1/TYPE_J01.zip 1194 1 1 application/zip other TYPE_J01.zip covers 3,775 grid locations (100505 – 2750195). en public cc_by

TYPE_J01.zip

data 16346 8 55126 document 16346 TYPE_J02.zip application/zip a274d0b7b492d9ec5c954e6723bca8a7 MD5 6140085867 2022-09-12 12:32:54 https://researchdata.bath.ac.uk/1194/2/TYPE_J02.zip 1194 2 2 application/zip other TYPE_J02.zip covers 3,775 grid locations (2750200 – 3950600). en public cc_by

TYPE_J02.zip

data 16347 8 55115 document 16347 TYPE_J03.zip application/zip 2a3a65cfb2db2f520798bab1b38dc28a MD5 6173891035 2022-09-12 10:10:34 https://researchdata.bath.ac.uk/1194/3/TYPE_J03.zip 1194 3 3 application/zip other TYPE_J03.zip covers 3,776 grid locations (3950605 – 6600300). en public cc_by

TYPE_J03.zip

data 16348 4 54987 document 16348 GridID_Lat_Long_Elev.csv text/plain 8bba67d5c1648e61ac00d20dc88a00fd MD5 293494 2022-09-05 17:17:03 https://researchdata.bath.ac.uk/1194/4/GridID_Lat_Long_Elev.csv 1194 4 4 text/plain other Grid number, latitude, longitude and elevation for each of 11326 grid locations (100505 – 6600300). en public cc_by

GridID_Lat_Long_Elev.csv

data 16432 2 55615 document 16432 Readme_updated.docx application/vnd.openxmlformats-officedocument.wordprocessingml.document 665e24dd0bc271e04c3f86fd2011291e MD5 16190 2022-09-22 04:17:57 https://researchdata.bath.ac.uk/1194/7/Readme_updated.docx 1194 7 7 application/vnd.openxmlformats-officedocument.wordprocessingml.document other Details about the data structure and information en public cc_by

Readme_updated.docx

documentation 16433 1 55622 document 16433 indexcodes.txt text/plain d48351daa6fe5b0b024b2e3a1ff0f404 MD5 714 2022-09-22 04:38:47 https://researchdata.bath.ac.uk/1194/8/indexcodes.txt 1194 8 8 text/plain other Generate index codes conversion from other to indexcodes en public

indexcodes.txt

http://eprints.org/relation/isVersionOf https://researchdata.bath.ac.uk/id/document/16432 http://eprints.org/relation/isVolatileVersionOf https://researchdata.bath.ac.uk/id/document/16432 http://eprints.org/relation/isIndexCodesVersionOf https://researchdata.bath.ac.uk/id/document/16432 archive 4764 disk0/00/00/11/94 2022-12-21 10:20:46 2024-07-15 11:00:04 2022-12-21 10:20:46 data_collection show Liu Chunde C.Liu2@bath.ac.uk 0000-0002-4814-2046 Shanghai Jiao Tong University FALSE Coley David D.A.Coley@bath.ac.uk 0000-0001-5744-1809 University of Bath TRUE Fosas Daniel D.Fosas.De.Pando@bath.ac.uk 0000-0001-8407-3431 University of Edinburgh; University of Bath FALSE Producer Liu Chunde C.Liu2@bath.ac.uk 0000-0002-4814-2046 Shanghai Jiao Tong University Dataset for “The week that will be: communicating climate change and the impact of climate change via extreme weeks” BA0040 CP0010 CP0040 CP0140 CW0010 CW0030 dept_civ_eng heat wave, climate change, EPW format, a high spatial resolution, UK The EPW format is a plain text format that may be processed with EnergyPlus open source software (https://energyplus.net/). The format is documented in the Auxiliary Programs documentation accompanying the software. The data set contain localized current and future heat waves for use in thermal modelling of buildings across the UK. The weather data is in the format of EnergyPlus Weather (.epw) which was developed for building simulation programs. The building simulation weather file contains 8,760 hours of all the thermally related weather variables such as dry-bulb temperature, dewpoint temperature, relative humidity, atmospheric pressure, direct and diffuse solar radiation, wind direction and speed. The weather file contains an Example Extreme Week (EEW), i.e., weather data from an extremely hot seven-day contiguous period. The initial date of the EEW is mentioned in the comment line of the weather file. The weather files are available for current and future time slices: 1970s (1961 to 1990) and 2080s (2079 to 2099) with three return periods (10, 20 and 50 years) and one baseline period. Hence, there are six extreme weather files and one baseline weather file in each subfolder. These weather files are available at a 5 km grid resolution across the UK. In total, there are 11326 grid locations aggregated into three zip files: TYPE_J01 (3,775 grids), TYPE_J02 (3,775 grids), and TYPE_J03 (3,776 grids). The grid number, latitude, longitude and elevation for each of 11326 grid locations can be found in ‘GridID_Lat_Long_Elev.csv’. 2022-11-15 University of Bath public https://colbe.bath.ac.uk/ COLBE/ZED-i Repository of Future Weather RightsHolder University of Bath Producer Shanghai Jiao Tong University Engineering and Physical Sciences Research Council https://doi.org/10.13039/501100000266 EP/M021890/1 COLBE - The Creation of Localized Current and Future Weather for the Built Environment Engineering and Physical Sciences Research Council https://doi.org/10.13039/501100000266 EP/S016627/1 Industrial Strategy Challenge Fund - Active Building Centre cent_eden The Spatial Urban Weather Generator (SUWG) developed by Newcastle University was used to produce hourly weather data at a 5 km resolution across the UK for the control period (1970s: 1961 to 1990) and future period (2080s: 2079 to 2099) under medium emission scenario (SRES A1B). We ran the SUWG 100 times for each grid to obtain 100 sets of 30-year long data, i.e., 3,000 sample years per grid location. The heat waves with three return periods were extracted from the sample years. The sample year which contains the heat wave was selected for the creation of the EnergyPlus Weather file representing an Example Extreme Week (EEW). The EEWs are available for the 1970s and 2080s with three return periods: 10, 20 and 50 years for each 5 km grid location in the UK. The Spatial Urban Weather Generator was used to generate current and future weather data for 11326 grid locations across the UK. We used MATLAB installed on the Balena High Performance Computing system to process the 30 TB weather data generated for 11,326 grid locations and created the building simulation weather files in the format of EnergyPlus Weather. https://doi.org/10.1177/0143624419880629 en 1 10.15125/BATH-01194 https://doi.org/10.1016/j.buildenv.2022.109809 pub Balena High Performance Computing (HPC) System 3e22ef13-31b9-4700-b57e-57bcd3b3b985 open Users are able to download the weather files for a place of interest based on post code or latitude and longitude via the COLBE/ZED-i Repository of Future Weather (https://colbe.bath.ac.uk/), after answering a few questions about their interest in using the weather files.