Decadal BIOCLIM estimates based on ISIMIP3b climatic forcing data globally for the terrestrial realm

This dataset contains BIOCLIM variables (plus gdd5 and gsl5) which have been prepared and calculated from the original ISIMIP3b bias-adjusted climate forcing data from 4 (for ssp119), respectively 5 GCM models (obtained on 2024-03-24). 

For more information on the original data and its properties, please see the ISIMIP3b modelling protocol and here specifically the climate forcing section https://protocol.isimip.org/#/ISIMIP3b/31-forcing-data and Frieler et al. (2024).

The original climate forcing data (global extent, daily temporal grain) were masked to a global land mask and spatial-temporally aggregated. Here 10 year (decadal) steps were chosen as target climatology.

For each time slot (e.g. 10 years) and scenario (historical or ssps) the following 21 variables were calculated:

bioclim01 = Annual Mean Temperature
bioclim02 = Mean Diurnal Range (Mean of monthly (max temp - min temp))
bioclim03 = Isothermality (BIO2/BIO7) (×100)
bioclim04 = Temperature Seasonality (standard deviation ×100)
bioclim05 = Max Temperature of Warmest Month
bioclim06 = Min Temperature of Coldest Month
bioclim07 = Temperature Annual Range (BIO5-BIO6)
bioclim08 = Mean Temperature of Wettest Quarter
bioclim09 = Mean Temperature of Driest Quarter
bioclim10 = Mean Temperature of Warmest Quarter
bioclim11 = Mean Temperature of Coldest Quarter
bioclim12 = Annual Precipitation
bioclim13 = Precipitation of Wettest Month
bioclim14 = Precipitation of Driest Month
bioclim15 = Precipitation Seasonality (Coefficient of Variation)
bioclim16 = Precipitation of Wettest Quarter
bioclim17 = Precipitation of Driest Quarter
bioclim18 = Precipitation of Warmest Quarter
bioclim19 = Precipitation of Coldest Quarter
GDD5 = Mean annual growing degree days above 5C using daily mean temperature ((tasmax + tasmin) / 2)
GSL5 = Mean annual longest consecutive run of days with daily mean temperature above 5C

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Data properties:

All files are provided in netCDF (nc) format. The preprocessed datasets are provided as it and the author takes no responsibility for errors or misuse.