Urban form data for climate modelling: Sydney at 300 m resolution derived from building-resolving and 2 m land cover datasets
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下载链接:
https://zenodo.org/record/6565324
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资源简介:
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).
澳大利亚悉尼地貌与地表数据集
本数据集面向澳大利亚悉尼市,涵盖土地覆被、建筑形态、植被形态及其他适配于局地或中尺度城市气候模型输入的相关参数。
本数据集以netCDF4(网络通用数据格式4)与GeoTiff(地理标记图像文件格式)格式提供。
相关研究论文:
开源数据集引用信息:
- Lipson, M.、Nazarian, N.、Hart, M. A.、Nice, K. A. 及 Conroy, B.:《用于气候建模的城市形态数据:基于建筑解析与2米土地覆被数据集生成的300米分辨率悉尼数据集(v1.01)》,https://doi.org/10.5281/zenodo.6579061,2022年。
相关研究论文引用信息:
- Lipson, M. J.、Nazarian, N.、Hart, M. A.、Nice, K. A. 及 Conroy, B.:《城市气候模型城市描述性输入数据的变革》,《环境科学前沿》,第10卷,https://doi.org/10.3389/fenvs.2022.866398,2022年。
配套处理代码地址:
- https://github.com/matlipson/geoscape_processing_public.git
致谢
本研究衷心感谢澳大利亚城市研究基础设施网络(Australian Urban Research Infrastructure Network, AURIN)与澳大利亚地理空间局(Geoscape Australia)提供本研究所需的数据集,本研究采用了Geoscape Buildings、Surface Cover及Trees数据集,© 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, ARC)气候系统科学卓越中心(项目编号CE110001028)以及ARC气候极端事件卓越中心(项目编号CE170100023)的资助。
创建时间:
2022-07-17



