Attribution of extreme climate events based on CMIP6 high-resolution global climate model: a case study of Guangdong Province, China

The data of the original data from https://esgf-index1.ceda.ac.uk/search/cmip6-ceda/, The dataset consists of historical simulation data from six models (GFDL-ESM4, CESM2, IPSL-CM6A-LR, MRI-ESM2-0, E3SM2-0, Fgots-G3) from 1995-2014 and one model (MIROC6) from 2081-2100 under ssp245 scenarios To simulate the data composition. The data contains two parts, temperature and precipitation, in degrees Celsius and millimeters per day, respectively, with the same spatial resolution of 100km. Each part of the historical data contains four scenarios: historical, hist-GHG, hist-nat, and hist-aer, which respectively represent the historical whole scenario data, the simulation data only under the influence of greenhouse gases, the simulation data only under the influence of natural factors, and the simulation data only under the influence of aerosols. The future data are ssp245, SSP245-GHG, SSP245-NAT, and SSP245-AER, which respectively represent the data under the corresponding future scenarios.
The Cumulative distribution map folder is used to plot the cumulative distribution curve of extreme values. Therefore, the cumulative distribution Map folder is used to plot the cumulative distribution curve of extreme values. The cumulative distribution map folder is used to plot the cumulative distribution curve of extreme values. In the Cumulative distribution map folder, pr stands for the precipitation data folder and tas stands for the temperature data folder. The Cumulative Distribution Map contains data from 1995-2014 and 2081-2100 respectively. The data under these two time periods include historical, hist-GHG, hist-nat, hist-aer, and ssp245, SSP245-GHG, SSP245-NAT, and SSP245-AER respectively.
For example, file mmax_pr_CESM2_hist-GHG_1995-2014.nc represents the monthly average maximum data of precipitation in Guangdong Province during 1995-2014 simulated by CESM2 model under the influence of greenhouse gases only.
The data in the Spatial distribution map folder are used to plot the spatial distribution maps of mean temperature and precipitation and extreme temperature and precipitation from 1995 to 2014, in which the extreme temperature and precipitation are represented by the maximum value and 90th percentile value, respectively, and are represented by max and m90. mean temperature and precipitation data are expressed as mean. The data range from 108.5-118.5 east and 19-26.5 north. In the Spatial distribution map folder, pr represents the precipitation data folder and tas represents the temperature data folder. In each folder, mean, m90 and max represent three kinds of processed data respectively. Among them, the file name containing CN05 is the actual observation data with a resolution of 25km, which is used for comparison with the simulation data of other models.
For example, the file m90_pr_CESM2_historical_1995-2014.nc represents the 90th percentile data of precipitation at this latitude and longitude during 1995-2014 simulated by the CESM2 model.