Flood hazard maximum 1-day runoff data for the National Climate Risk Assessment

Flood hazard maximum 1-day runoff regional change summaries for the National Climate Risk Assessment (NCRA). The flood hazard has been summarised for boundaries relating to the assessment of freshwater natural environments.\n\nAustralian Climate Service (ACS) flood hazard datasets (https://github.com/AusClimateService/hazard-flood)\n1. Max1day_runoff - Median annual maximum 1-day runoff\n\nEach hazard dataset includes an ensemble of climate models for four global warming levels (GWLs), 1.2, 1.5, 2.0 and 3.0 degrees Celsius, above a pre-industrial mean for 1850 to 1900.\n\nThe relative change (difference to GWL1.2 divided by GWL1.2) was calculated for each of the higher GWLs compared to GWL1.2.\n\nRegions of interest boundaries\n1. Level 2 drainage basins from the Australian Hydrological Geospatial Fabric (AHGF)\n\nFor each hazard/GWL-change combination, a set of statistics (the mean, 10th percentile, 50th percentile, 90th percentile and standard deviation) was calculated for each climate model in the ensemble over the regions of interest areas. From these, the median of each statistic from all the models in the ensemble was calculated. \n\nCollection data files\nThe outputs are tabular data in comma-separated value (csv) files with one file per hazard/GWL-change combination. The columns are ID and region name that link to the boundary datasets for visualising in GIS software, and the medians of the statistics. Rows are the individual region of interest polygons. \nLineage: DATASETS\nHazard data\nThe National Climate Risk Assessment (NCRA) hazard data were supplied by the Australian Climate Service (ACS) from data stored on the National Computational Infrastructure (NCI) as part of Project ia39. The hazard data came in the form of an ensemble of climate models, with outputs for four global warming levels (GWLs) from each of the individual models. The GWLs are 1.2, 1.5, 2.0 and 3.0 degrees Celsius above a pre-industrial mean for 1850 to 1900.\n\nFlood hazards in this collection (https://github.com/AusClimateService/hazard-flood):\n1. Max1day_runoff - maximum 1-day runoff\n\nRegions of interest boundaries\nThe hazard data were summarised by regions of interest using polygon shape files for the following areas:\n1. Level 2 drainage basins from the Australian Hydrological Geospatial Fabric (AHGF) (http://www.bom.gov.au/water/geofabric/download.shtml)\n\n\nMETHODS\nThe flood hazard dataset was summarised for each set of region of interest boundaries using methods and code from the ACS (https://github.com/AusClimateService/plotting_maps).\n\nThe relative change (difference to GWL1.2 divided by GWL1.2) was calculated for each of the higher GWLs compared to GWL1.2 for Max1day_runoff for the Level 2 drainage basins.\n\nFor each hazard/GWL-change combination, a set of statistics (the mean, 10th percentile, 50th percentile, 90th percentile and standard deviation) was calculated for each climate model in the ensemble over the regions of interest areas. From these, the median of each statistic from all the models in the ensemble was calculated. For a more detailed description of the methods, see the 'Spatial data processing methods' file in the Supporting Documentation section.\n\n\nOUTPUTS - COLLECTION DATA FILES\nThe outputs are tabular data in comma-separated value (csv) files with one file per hazard/GWL-change combination. The columns are ID and region name (linking to the boundary datasets for visualising in GIS software), and the medians for each of the statistics. Rows are the individual region of interest areas (polygons). \n\n

国家气候风险评估（National Climate Risk Assessment，NCRA）的洪水灾害最大1日径流区域变化摘要
该洪水灾害数据集针对淡水自然环境评估相关的边界区域进行了总结。

澳大利亚气候服务（Australian Climate Service，ACS）洪水灾害数据集（https://github.com/AusClimateService/hazard-flood）
1. Max1day_runoff——年最大1日径流中位数

每个灾害数据集包含一组气候模型集合，对应四个全球变暖水平（global warming levels，GWLs）：比1850-1900年工业化前平均值分别高1.2、1.5、2.0和3.0摄氏度。

相对变化（相对于GWL1.2的差值除以GWL1.2）是针对每个高于GWL1.2的全球变暖水平计算得出的。

感兴趣区域边界
1. 澳大利亚水文地理织物（Australian Hydrological Geospatial Fabric，AHGF）中的二级流域

集合数据文件
输出结果为逗号分隔值（comma-separated value，csv）格式的表格数据，每个洪水灾害/全球变暖水平变化组合对应一个文件。列包含ID、区域名称（用于在地理信息系统（Geographic Information System，GIS）软件中可视化边界数据集）以及各统计量的中位数。行对应各个感兴趣区域的多边形。

谱系：数据集
国家气候风险评估（NCRA）的灾害数据由澳大利亚气候服务（ACS）提供，存储于国家计算基础设施（National Computational Infrastructure，NCI），是ia39项目的一部分。灾害数据以气候模型集合的形式呈现，每个独立模型均输出四个全球变暖水平（GWLs）的结果，这些水平分别为比1850-1900年工业化前平均值高1.2、1.5、2.0和3.0摄氏度。

本集合中的洪水灾害（https://github.com/AusClimateService/hazard-flood）：
1. Max1day_runoff——最大1日径流

感兴趣区域边界
灾害数据通过感兴趣区域进行总结，所使用的多边形形状文件对应以下区域：
1. 澳大利亚水文地理织物（AHGF）中的二级流域（http://www.bom.gov.au/water/geofabric/download.shtml）

方法
洪水灾害数据集针对每组感兴趣区域边界的总结，采用了ACS提供的方法和代码（https://github.com/AusClimateService/plotting_maps）。

针对二级流域的Max1day_runoff，计算了每个高于GWL1.2的全球变暖水平相对于GWL1.2的相对变化（差值除以GWL1.2）。

针对每个洪水灾害/全球变暖水平变化组合，计算了集合中每个气候模型在感兴趣区域内的一组统计量（均值、第10百分位数、第50百分位数、第90百分位数和标准差）。基于这些结果，进一步计算了集合中所有模型各统计量的中位数。有关方法的详细描述，请参阅支持文档部分的《空间数据处理方法》文件。

输出——集合数据文件
输出结果为逗号分隔值（csv）格式的表格数据，每个洪水灾害/全球变暖水平变化组合对应一个文件。列包含ID、区域名称（用于在地理信息系统（GIS）软件中可视化边界数据集）以及各统计量的中位数。行对应各个感兴趣区域（多边形）。