Data

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

Commonwealth Scientific and Industrial Research Organisation
Austin, Jenet ; Marvanek, Steve ; Stratford, Danial ; Herr, Alexander
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25919/ypgd-bc70&rft.title=Flood hazard maximum 1-day runoff data for the National Climate Risk Assessment&rft.identifier=https://doi.org/10.25919/ypgd-bc70&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=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.Australian Climate Service (ACS) flood hazard datasets (https://github.com/AusClimateService/hazard-flood)1. Max1day_runoff - Median annual maximum 1-day runoffEach 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.The relative change (difference to GWL1.2 divided by GWL1.2) was calculated for each of the higher GWLs compared to GWL1.2.Regions of interest boundaries1. Level 2 drainage basins from the Australian Hydrological Geospatial Fabric (AHGF)For 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. Collection data filesThe 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. Lineage: DATASETSHazard dataThe 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.Flood hazards in this collection (https://github.com/AusClimateService/hazard-flood):1. Max1day_runoff - maximum 1-day runoffRegions of interest boundariesThe hazard data were summarised by regions of interest using polygon shape files for the following areas:1. Level 2 drainage basins from the Australian Hydrological Geospatial Fabric (AHGF) (http://www.bom.gov.au/water/geofabric/download.shtml)METHODSThe 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).The 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.For 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.OUTPUTS - COLLECTION DATA FILESThe 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). &rft.creator=Austin, Jenet &rft.creator=Marvanek, Steve &rft.creator=Stratford, Danial &rft.creator=Herr, Alexander &rft.date=2025&rft.edition=v1&rft.coverage=westlimit=112.0; southlimit=-45.0; eastlimit=155.0; northlimit=-10.0; projection=WGS84&rft_rights=Creative Commons Attribution 4.0 International Licence https://creativecommons.org/licenses/by/4.0/&rft_rights=Data is accessible online and may be reused in accordance with licence conditions&rft_rights=All Rights (including copyright) CSIRO 2025.&rft_subject=Climate&rft_subject=Hazard&rft_subject=Flood&rft_subject=Maximum 1-day runoff&rft_subject=Risk assessment&rft_subject=National Climate Risk Assessment&rft_subject=NCRA&rft_subject=Natural environments&rft_subject=Australia&rft_subject=Natural hazards&rft_subject=Physical geography and environmental geoscience&rft_subject=EARTH SCIENCES&rft_subject=Ecological impacts of climate change and ecological adaptation&rft_subject=Climate change impacts and adaptation&rft_subject=ENVIRONMENTAL SCIENCES&rft.type=dataset&rft.language=English Access the data

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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.

Australian Climate Service (ACS) flood hazard datasets (https://github.com/AusClimateService/hazard-flood)
1. Max1day_runoff - Median annual maximum 1-day runoff

Each 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.

The relative change (difference to GWL1.2 divided by GWL1.2) was calculated for each of the higher GWLs compared to GWL1.2.

Regions of interest boundaries
1. Level 2 drainage basins from the Australian Hydrological Geospatial Fabric (AHGF)

For 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.

Collection data files
The 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.
Lineage: DATASETS
Hazard data
The 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.

Flood hazards in this collection (https://github.com/AusClimateService/hazard-flood):
1. Max1day_runoff - maximum 1-day runoff

Regions of interest boundaries
The hazard data were summarised by regions of interest using polygon shape files for the following areas:
1. Level 2 drainage basins from the Australian Hydrological Geospatial Fabric (AHGF) (http://www.bom.gov.au/water/geofabric/download.shtml)


METHODS
The 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).

The 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.

For 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.


OUTPUTS - COLLECTION DATA FILES
The 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).

Available: 2025-05-06

Data time period: 1980-01-01 to 2099-01-01

This dataset is part of a larger collection

Click to explore relationships graph

155,-10 155,-45 112,-45 112,-10 155,-10

133.5,-27.5

ACN 633 798 857