Application-ready quantile-delta-change (QDC) scaled CMIP6 climate projections for Australia (global warming levels, 11km grid)
收藏Research Data Australia2025-12-20 收录
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https://researchdata.edu.au/application-ready-quantile-11km-grid/3651916
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资源简介:
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
提供机构:
Commonwealth Scientific and Industrial Research Organisation



