Dataset

CCAM UCLEM model output for: Climate change impact on energy demand in coupled building-urban-atmosphere simulations across the 21st century v1.0

Also known as: CCAM_UCLEM_SCM_Melbourne_2000_2100 v1.0
ARC Centre of Excellence for Climate System Science
ARC Centre of Excellence for Climate System Science Data Manager (Managed by) Dr Mathew Lipson (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25914/5d3e4a8074a5f&rft.title=CCAM UCLEM model output for: Climate change impact on energy demand in coupled building-urban-atmosphere simulations across the 21st century v1.0&rft.identifier=10.25914/5d3e4a8074a5f&rft.publisher=ARC Centre of Excellence for Climate System Science&rft.description=This data is single column model output from the Urban Climate and Energy Model (UCLEM) + the Conformal Cubic Atmospheric Model (CCAM) for Melbourne, Australia. The data is used in the following study: Climate change impact on energy demand in coupled building-urban-atmosphere simulations.   NetCDF outputs record surface variables at half-hour intervals for the 2x6 century-scale simulations under RCP 8.5. Recorded variables include radiation and turbulent heat fluxes, net storage heat flux, anthropogenic heat fluxes (including heating and cooling fluxes separately), internal air temperatures, precipitation, surface pressure, boundary layer height, cloud cover and 40m air temperature, humidity and wind velocity. The dataset is made up of two experiments: control and risingAC. The first experiment holds all urban parameters fixed to 2000 levels in order to isolate climate impact. The second raises the proportion of internal spaces with installed air conditioning from 25% to 67% across the 21st century.  The simulations were run by Mathew Lipson from the ARC Centre of Excellence for Climate System Science as part of its research program The role of land surface forcing and feedbacks for regional climate  &rft.creator=Dr Mathew Lipson&rft.date=2019&rft.relation=10.1088/1748-9326/ab5aa5&rft.coverage=-37.73,145.01&rft.coverage=Preston, Melbourne&rft_rights=Access to this dataset is free, the users are free to download this dataset and share it with others and adapt it as long as they credit the dataset owners, provide a link to the license, and if changes were made, indicate it clearly and distribute their contributions under the same license as the original, commercial use is not permitted.&rft_rights=http://creativecommons.org/licenses/by-nc-sa/4.0/legalcode&rft_subject=Climate Change Processes&rft_subject=EARTH SCIENCES&rft_subject=ATMOSPHERIC SCIENCES&rft_subject=Urban climate&rft_subject=peak demand&rft_subject=building energy&rft_subject=electricity&rft_subject=gas&rft.type=dataset&rft.language=English Access the data

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Non-Commercial Licence view details
CC-BY-NC-SA

http://creativecommons.org/licenses/by-nc-sa/4.0/legalcode

Access to this dataset is free, the users are free to download this dataset and share it with others and adapt it as long as they credit the dataset owners, provide a link to the license, and if changes were made, indicate it clearly and distribute their contributions under the same license as the original, commercial use is not permitted.

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Full description

This data is single column model output from the Urban Climate and Energy Model (UCLEM) + the Conformal Cubic Atmospheric Model (CCAM) for Melbourne, Australia. The data is used in the following study: Climate change impact on energy demand in coupled building-urban-atmosphere simulations.
 
NetCDF outputs record surface variables at half-hour intervals for the 2x6 century-scale simulations under RCP 8.5. Recorded variables include radiation and turbulent heat fluxes, net storage heat flux, anthropogenic heat fluxes (including heating and cooling fluxes separately), internal air temperatures, precipitation, surface pressure, boundary layer height, cloud cover and 40m air temperature, humidity and wind velocity.
The dataset is made up of two experiments: control and risingAC. The first experiment holds all urban parameters fixed to 2000 levels in order to isolate climate impact. The second raises the proportion of internal spaces with installed air conditioning from 25% to 67% across the 21st century. 

The simulations were run by Mathew Lipson from the ARC Centre of Excellence for Climate System Science as part of its research program "The role of land surface forcing and feedbacks for regional climate"

 

Created: 07 2019

Data time period: 2000-01-01 to 2099-12-31

-37.73,145.01

-37.73,90

text: Preston, Melbourne

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