Data

Application-ready quantile-delta-change (QDC) scaled CMIP6 climate projections for Australia (global warming levels, 11km grid)

Commonwealth Scientific and Industrial Research Organisation
Irving, Damien ; Macadam, Ian ; King, Malcolm
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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/w3w4-5984&rft.title=Application-ready quantile-delta-change (QDC) scaled CMIP6 climate projections for Australia (global warming levels, 11km grid)&rft.identifier=https://doi.org/10.25919/w3w4-5984&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=This collection consists of application-ready climate projections based on observed climate variability, adjusted through a quantile-delta-change method to incorporate projections from CMIP6 climate models.\n\nThe collection consists of daily projections of precipitation, mean downwelling shortwave radiation, maximum and minimum near-surface temperature, maximum, mean and minimum near-surface relative humidity, and mean and maximum near-surface wind speed for 9 CMIP6 models. Up to four 20-year windows of projections are available per model, corresponding to global warming levels of 1.5°C, 2°C, 3°C, and 4°C above pre-industrial (1850-1900). Data are based on future climate changes derived from simulations of the SSP3-7.0 shared socio-economic pathway and BARRA-R2 historic climate variability for Australia. This dataset is on the original 11km BARRA-R2 resolution.\n\nHistorical baseline data from BARRA-R2 used for the quantile-delta-change adjustment are also available.\n\nMore in-depth information on the dataset can be found in the technical report: https://doi.org/10.25919/03by-9y62\n\nThis collection is not updated frequently.\nLineage: Daily data from 9 CMIP6 models (ACCESS-CM2, ACCESS-ESM1-5, CESM2, CMCC-ESM2, CNRM-ESM2-1, EC-Earth3, MPI-ESM1-2-HR, NorESM2-MM, UKESM1-0-LL) are used to calculate climate changes between a 2001-2020 baseline period (corresponding to the 1°C global warming level) and the future projection periods for each SSP corresponding to the 1.5°C, 2°C, 3°C, and 4°C global warming levels. The projected changes are then applied to 2001-2020 baseline data from BARRA-R2 to produce the application-ready datasets. The quantile-delta-change method is used, which applies different climate changes to different parts (quantiles) of the distribution of daily data.\n\nThis process is done using python software available at https://github.com/AusClimateService/qq-workflows/tree/main/qdc-cmip6.\n\nMore in-depth information on the method can be found in the technical report: https://doi.org/10.25919/03by-9y62\n\nThe application-ready projections have also been subject to a quality-control and assurance check utilising a python script (https://github.com/climate-innovation-hub/qdc-cmip6-qaqc) to ensure full data coverage and compliance with metadata standards, with the process documented in the QAQC report: https://doi.org/10.25919%2F4n26-fh08&rft.creator=Irving, Damien &rft.creator=Macadam, Ian &rft.creator=King, Malcolm &rft.date=2025&rft.edition=v1&rft.relation=https://doi.org/10.25919/03by-9y62&rft.relation=https://doi.org/10.25919%2F4n26-fh08&rft.coverage=westlimit=88.48; southlimit=-57.97; eastlimit=-152.6; northlimit=12.98; 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 change&rft_subject=climate projections&rft_subject=CMIP6&rft_subject=precipitation&rft_subject=relative humidity&rft_subject=temperature&rft_subject=wind&rft_subject=daily maximum temperature&rft_subject=daily minimum temperature&rft_subject=solar radiation&rft_subject=climate risk&rft_subject=Australia&rft_subject=climate model&rft_subject=global warming level&rft_subject=Climate change processes&rft_subject=Climate change science&rft_subject=EARTH SCIENCES&rft_subject=Climatology&rft_subject=Climate change impacts and adaptation not elsewhere classified&rft_subject=Climate change impacts and adaptation&rft_subject=ENVIRONMENTAL SCIENCES&rft.type=dataset&rft.language=English Access the data

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Creative Commons Attribution 4.0 International Licence
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Data is accessible online and may be reused in accordance with licence conditions

All Rights (including copyright) CSIRO 2025.

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Brief description

This collection consists of application-ready climate projections based on observed climate variability, adjusted through a quantile-delta-change method to incorporate projections from CMIP6 climate models.

The collection consists of daily projections of precipitation, mean downwelling shortwave radiation, maximum and minimum near-surface temperature, maximum, mean and minimum near-surface relative humidity, and mean and maximum near-surface wind speed for 9 CMIP6 models. Up to four 20-year windows of projections are available per model, corresponding to global warming levels of 1.5°C, 2°C, 3°C, and 4°C above pre-industrial (1850-1900). Data are based on future climate changes derived from simulations of the SSP3-7.0 shared socio-economic pathway and BARRA-R2 historic climate variability for Australia. This dataset is on the original 11km BARRA-R2 resolution.

Historical baseline data from BARRA-R2 used for the quantile-delta-change adjustment are also available.

More in-depth information on the dataset can be found in the technical report: https://doi.org/10.25919/03by-9y62

This collection is not updated frequently.
Lineage: Daily data from 9 CMIP6 models (ACCESS-CM2, ACCESS-ESM1-5, CESM2, CMCC-ESM2, CNRM-ESM2-1, EC-Earth3, MPI-ESM1-2-HR, NorESM2-MM, UKESM1-0-LL) are used to calculate climate changes between a 2001-2020 baseline period (corresponding to the 1°C global warming level) and the future projection periods for each SSP corresponding to the 1.5°C, 2°C, 3°C, and 4°C global warming levels. The projected changes are then applied to 2001-2020 baseline data from BARRA-R2 to produce the application-ready datasets. The quantile-delta-change method is used, which applies different climate changes to different parts (quantiles) of the distribution of daily data.

This process is done using python software available at https://github.com/AusClimateService/qq-workflows/tree/main/qdc-cmip6.

More in-depth information on the method can be found in the technical report: https://doi.org/10.25919/03by-9y62

The application-ready projections have also been subject to a quality-control and assurance check utilising a python script (https://github.com/climate-innovation-hub/qdc-cmip6-qaqc) to ensure full data coverage and compliance with metadata standards, with the process documented in the QAQC report: https://doi.org/10.25919%2F4n26-fh08

Available: 2025-05-13

This dataset is part of a larger collection

-152.6,12.98 -152.6,-57.97 88.48,-57.97 88.48,12.98 -152.6,12.98

-32.06,-22.495