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

<strong>Sydney morphology and land surface dataset</strong> 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:<br> - 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:<br> - 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:<br> - https://github.com/matlipson/geoscape_processing_public.git <strong>Acknowledgments</strong> We gratefully acknowledge the Australian Urban Research Infrastructure Network (AURIN) and Geoscape Australia for <br> providing the datasets necessary for this study, drawing on Geoscape Buildings, Surface Cover and Trees datasets, <br> © Geoscape Australia, 2020: https://geoscape.com.au/legal/data-copyright-and-disclaimer/. <br> This research was supported by the Australian Research Council (ARC) Centre of Excellence for Climate System Science <br> (grant CE110001028), the ARC Centre of Excellence for Climate Extremes (grant CE170100023).**澳大利亚悉尼形态与地表数据集** 本数据集面向澳大利亚悉尼，涵盖土地覆被、建筑形态、植被形态等适用于局地或中尺度城市气候模型输入的参数。数据集以netCDF4与GeoTiff格式提供。 相关研究手稿：城市气候模型用城市描述性输入数据的变革 开源数据集引用： - Lipson, M., Nazarian, N., Hart, M. A., Nice, K. A., and Conroy, B.: 用于气候建模的城市形态数据：基于建筑解析与2米分辨率土地覆被数据集生成的悉尼300米分辨率数据（v1.01），https://doi.org/10.5281/zenodo.6579061, 2022. 相关手稿引用： - Lipson, M. J., Nazarian, N., Hart, M. A., Nice, K. A., and Conroy, B.: 《城市气候模型用城市描述性输入数据的变革》，《环境科学前沿》(Frontiers in Environmental Science)，10，https://doi.org/10.3389/fenvs.2022.866398，2022. 相关处理代码存放地址： - https://github.com/matlipson/geoscape_processing_public.git **致谢** 我们衷心感谢澳大利亚城市研究基础设施网络（Australian Urban Research Infrastructure Network，简称AURIN）与澳大利亚地理空间局（Geoscape Australia）为本研究提供必要的数据集，本研究依托澳大利亚地理空间局的建筑、地表覆被与树木数据集开发，© 澳大利亚地理空间局（Geoscape Australia），2020：https://geoscape.com.au/legal/data-copyright-and-disclaimer/。 本研究得到澳大利亚研究委员会（Australian Research Council，简称ARC）气候系统科学卓越研究中心（项目编号CE110001028）以及ARC气候极端事件卓越研究中心（项目编号CE170100023）的资助。