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Urban form data for climate modelling: Sydney at 300 m resolution derived from building-resolving and 2 m land cover datasets

Authors: Mathew Lipson; Negin Nazarian; Melissa A. Hart; Kerry A. Nice; Brooke Conroy;

Urban form data for climate modelling: Sydney at 300 m resolution derived from building-resolving and 2 m land cover datasets

Abstract

Sydney morphology and land surface dataset This dataset for Sydney, Australia, represents land cover, building morphology, vegetation morphology and other parameters appropriate for input into local or mesoscale urban climate models. The dataset is provided in netCDF4 and GeoTiff formats. Associated manuscript: A transformation in city-descriptive input data for urban climate models Citation for the open dataset: - Lipson, M., Nazarian, N., Hart, M. A., Nice, K. A., and Conroy, B.: Urban form data for climate modelling: Sydney at 300 m resolution derived from building-resolving and 2 m land cover datasets (v1.01), https://doi.org/10.5281/zenodo.6579061, 2022. Citation for the associated manuscript: - Lipson, M. J., Nazarian, N., Hart, M. A., Nice, K. A., and Conroy, B.: A Transformation in City-Descriptive Input Data for Urban Climate Models, Frontiers in Environmental Science, 10, https://doi.org/10.3389/fenvs.2022.866398, 2022. Location of associated processing code: - https://github.com/matlipson/geoscape_processing_public.git Acknowledgments We gratefully acknowledge the Australian Urban Research Infrastructure Network (AURIN) and Geoscape Australia for providing the datasets necessary for this study, drawing on Geoscape Buildings, Surface Cover and Trees datasets, © Geoscape Australia, 2020: https://geoscape.com.au/legal/data-copyright-and-disclaimer/. This research was supported by the Australian Research Council (ARC) Centre of Excellence for Climate System Science (grant CE110001028), the ARC Centre of Excellence for Climate Extremes (grant CE170100023).

{"references": ["A transformation in city-descriptive input data for urban climate models"]}

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Keywords

sydney, urban morphology, urban land surface, climate model

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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