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Discussion papers | Copyright
https://doi.org/10.5194/gmd-2018-177
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Model description paper 08 Oct 2018

Model description paper | 08 Oct 2018

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Geoscientific Model Development (GMD).

The Air-temperature Response to Green/blue-infrastructure Evaluation Tool (TARGET v1.0): an efficient and user-friendly model of city cooling

Ashley M. Broadbent1,2,3,4, Andrew M. Coutts3,4, Kerry A. Nice3,4,5, Matthias Demuzere6,7, E. Scott Krayenhoff8,1,2, Nigel J. Tapper3,4, and Hendrik Wouters7,6 Ashley M. Broadbent et al.
  • 1School of Geographical Sciences and Urban Planning, Arizona State University, Tempe, Arizona, USA
  • 2Urban Climate Research Center, Arizona State University, Tempe, Arizona, USA
  • 3School of Earth, Atmosphere and Environment, Monash University, Clayton, Australia
  • 4Cooperative Research Centre for Water Sensitive Cities, Melbourne, Australia
  • 5Transport, Health, and Urban Design Hub, Faculty of Architecture, Building, and Planning, University of Melbourne, Victoria, Australia
  • 6Ghent University, Laboratory of Hydrology and Water Management, Ghent, Belgium
  • 7KU Leuven, Department of Earth and Environmental Sciences, Celestijnenlaan, Leuven, Belgium
  • 8School of Environmental Sciences, University of Guelph, Guelph, Ontario, Canada

Abstract. The adverse impacts of urban heat and global climate change are leading policy-makers to consider green and blue infrastructure (GBI) for heat mitigation benefits. Though many models exist to evaluate the cooling impacts of GBI, their complexity and computational demand leaves most of them largely inaccessible to those without specialist expertise and computing facilities. Here a new model called The Air-temperature Response to Green/blue-infrastructure Evaluation Tool (TARGET) is presented. TARGET is designed to be efficient and easy to use, with fewer user-defined parameters and less model input data required than other urban climate models. TARGET can be used to model street level air temperature at fine spatial scales (e.g. 30m), meaning it can be used at the street, precinct, or city scales. The model aims to balance realistic representation of physical processes and computation efficiency. An evaluation against two different datasets shows that TARGET can reproduce the magnitude and patterns of both air temperature and surface temperature within suburban environments. To demonstrate the utility of the model for planners and policy-makers, the results from two precinct-scale heat mitigation scenarios are presented. TARGET will be made available to the public and ongoing development, including a graphical user interface, is planned for future work.

Ashley M. Broadbent et al.
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Status: open (until 03 Dec 2018)
Status: open (until 03 Dec 2018)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Ashley M. Broadbent et al.
Data sets

TARGET CODE (Java) http://doi.org/10.5281/zenodo.1310138 K. Nice and A. Broadbent https://doi.org/10.5281/zenodo.1310138

Ashley M. Broadbent et al.
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Latest update: 18 Oct 2018
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Short summary
Here we present a simple model for assessing the cooling impacts of vegetation and water features (blue/green infrastructure) in urban environments. This model is designed to be computational efficient so that those without technical knowledge or access to high-performance computers can use it. The model is carefully designed to provide reliable and accurate cooling estimates based on established methods, while remaining computation efficient.
Here we present a simple model for assessing the cooling impacts of vegetation and water...
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