FFDI bushfire hazard data for the National Climate Risk Assessment

FFDI bushfire hazard regional change summaries for the National Climate Risk Assessment (NCRA). The FFDI hazard has been summarised for boundaries relating to the assessment of terrestrial natural environments.\n\nAustralian Climate Service (ACS) fire hazard datasets (https://github.com/AusClimateService/hazard_fire)\n1. FFDI - Forest Fire Danger index, a measure of fire weather, modelled as a function of wind speed, temperature, humidity, and past and recent rainfall\nThe FFDI hazard is represented as the number of days in a year where the index exceeds 50 (FFDI50), and where the index exceeds 75 (FFDI75).\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 absolute change (difference to GWL1.2) was calculated for each of the higher GWLs compared to GWL1.2. \n\nRegions of interest boundaries\n1. Australia\n2. NCRA regions\n3. Aggregate Ecological Groups (AEGs)\n4. Combined NCRA regions and AEGs\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\nAustralian Climate Service (ACS) fire hazard dataset (https://github.com/AusClimateService/hazard_fire) used in this collection:\n1. FFDI - Forest Fire Danger index, a measure of fire weather, modelled as a function of wind speed, temperature, humidity, and past and recent rainfall\n\nThe FFDI hazard is represented as the number of days in a year where the index exceeds 50 (FFDI50), and where the index exceeds 75 (FFDI75).\n\nRegions of interest boundaries\nThe hazard data were summarized by regions of interest using polygon shape files for the following areas:\n1. Australia - 2021 - Shapefile (https://www.abs.gov.au/statistics/standards/australian-statistical-geography-standard-asgs-edition-3/jul2021-jun2026/access-and-downloads/digital-boundary-files)\n2. NCRA regions (https://www.acs.gov.au/datasets/4f8b960fd3694fc28d6ff3d1278e9e75_0/about)\n3. Aggregate Ecological Groups (AEGs) derived from National Vegetation Information System (NVIS) data (https://data.csiro.au/collection/csiro:64128)\n4. Spatially combined NCRA and AEG polygons (https://data.csiro.au/collection/csiro:64133)\n\n\nMETHODS\nThe FFDI50 and FFDI75 hazard datasets were summarised for each set of region of interest boundaries using methods and code from the ACS (https://github.com/AusClimateService/plotting_maps).\n\nThe absolute change (difference to GWL1.2) was calculated for each of the higher GWLs compared to GWL1.2 for FFDI50 and FFDI75 using the Australia, NCRA, AEG and combined NCRA-AEG boundaries. \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