Data

Climate Innovation Hub Product 1 - Application-Ready quantile-scaled CMIP5 climate model projections for Australia

Commonwealth Scientific and Industrial Research Organisation
CSIRO Climate Innovation Hub ; Dey, Raktima ; Webb, Leanne ; Macadam, Ian ; Irving, Damien ; Bodman, Roger ; Erwin, Tim ; Kitsios, Vassili ; Heady, Craig ; Thatcher, Marcus ; Hennessy, Kevin ; Clarke, John ; Rodriguez, Michelle ; Hemer, Mark ; 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/n1es-5x31&rft.title=Climate Innovation Hub Product 1 - Application-Ready quantile-scaled CMIP5 climate model projections for Australia&rft.identifier=https://doi.org/10.25919/n1es-5x31&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=The data collection consists of projections for precipitation, relative humidity, daily maximum temperature, daily minimum temperature and downwards surface solar radiation on a daily temporal resolution across Australia for most of the 21st century (2016-2085) from 8 CMIP5 models. These projections have been downscaled through a 'quantile-quantile' scaling process to a resolution of approx. 5 km. This data collection was produced to produce application-ready climate projections where changes in extreme conditions are allowed to differ from changes in mean conditions. This is achieved through the use of the quantile-quantile scaling approach, as opposed to a delta scaling approach often used for application-ready projections.More information can be found in the technical report: https://doi.org/10.25919/88wm-mw53Quality assurance documentation is in a report, found in the supporting documentation below.Lineage: Data from the historical experiments from 8 CMIP5 models (ACCESS1-0, CanESM2, CESM1-CAM5, CNRM-CM5, GFDL-ESM2M, HadGEM2-CC, MIROC5 and NorESM1-M) over a baseline period (1981-2010) are divided into 100 quantiles, and the values for these quantiles are compared to those for future simulations from these models in the RCP2.6, 4.5 and 8.5 scenarios and the periods 2016-2045, 2036-2065, and 2056-2085 to calculate model-, period- and scenario-specific change factors for each variable. These change factors are applied to observed baseline data from AGCD (tasmin, tasmax, pr) and ERA5 (rsds and rhs) to form application-ready projections.&rft.creator=CSIRO Climate Innovation Hub &rft.creator=Dey, Raktima &rft.creator=Webb, Leanne &rft.creator=Macadam, Ian &rft.creator=Irving, Damien &rft.creator=Bodman, Roger &rft.creator=Erwin, Tim &rft.creator=Kitsios, Vassili &rft.creator=Heady, Craig &rft.creator=Thatcher, Marcus &rft.creator=Hennessy, Kevin &rft.creator=Clarke, John &rft.creator=Rodriguez, Michelle &rft.creator=Hemer, Mark &rft.creator=King, Malcolm &rft.date=2024&rft.edition=v3&rft.coverage=westlimit=112.0; southlimit=-44.5; eastlimit=155.0; northlimit=-10.3; projection=WGS84&rft_rights=Creative Commons Attribution 4.0 International Licence https://creativecommons.org/licenses/by/4.0/&rft_rights=Access to the data is restricted&rft_rights=All Rights (including copyright) CSIRO 2024.&rft_subject=climate projections&rft_subject=CMIP5&rft_subject=precipitation&rft_subject=relative humidity&rft_subject=daily maximum temperature&rft_subject=daily minimum temperature&rft_subject=solar radiation at surface&rft_subject=Climate Risk&rft_subject=Physical Risk&rft_subject=Finance&rft_subject=Agriculture&rft_subject=Energy&rft_subject=Infrastructure&rft_subject=Health&rft_subject=Water&rft_subject=Transport&rft_subject=Insurance&rft_subject=Climate change processes&rft_subject=Climate change science&rft_subject=EARTH SCIENCES&rft.type=dataset&rft.language=English Access the data
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Creative Commons Attribution 4.0 International Licence
https://creativecommons.org/licenses/by/4.0/

Access to the data is restricted

All Rights (including copyright) CSIRO 2024.

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The data collection consists of projections for precipitation, relative humidity, daily maximum temperature, daily minimum temperature and downwards surface solar radiation on a daily temporal resolution across Australia for most of the 21st century (2016-2085) from 8 CMIP5 models. These projections have been downscaled through a 'quantile-quantile' scaling process to a resolution of approx. 5 km.
This data collection was produced to produce application-ready climate projections where changes in extreme conditions are allowed to differ from changes in mean conditions. This is achieved through the use of the quantile-quantile scaling approach, as opposed to a delta scaling approach often used for application-ready projections.

More information can be found in the technical report: https://doi.org/10.25919/88wm-mw53
Quality assurance documentation is in a report, found in the supporting documentation below.
Lineage: Data from the historical experiments from 8 CMIP5 models (ACCESS1-0, CanESM2, CESM1-CAM5, CNRM-CM5, GFDL-ESM2M, HadGEM2-CC, MIROC5 and NorESM1-M) over a baseline period (1981-2010) are divided into 100 quantiles, and the values for these quantiles are compared to those for future simulations from these models in the RCP2.6, 4.5 and 8.5 scenarios and the periods 2016-2045, 2036-2065, and 2056-2085 to calculate model-, period- and scenario-specific change factors for each variable. These change factors are applied to observed baseline data from AGCD (tasmin, tasmax, pr) and ERA5 (rsds and rhs) to form application-ready projections.

Available: 2024-10-18

Data time period: 1981-01-01 to 2085-01-01

This dataset is part of a larger collection

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Subjects
Agriculture | CMIP5 | Climate Risk | Climate Change Processes | Climate Change Science | Earth Sciences | Energy | Finance | Health | Infrastructure | Insurance | Physical Risk | Transport | Water | climate projections | daily maximum temperature | daily minimum temperature | precipitation | relative humidity | solar radiation at surface |

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ACN 633 798 857