Published August 7, 2024 | Version 1.0

Decadal BIOCLIM estimates based on ISIMIP3b climatic forcing data for the European continent

  • 1. International Institute for Applied Systems Analysis

Description

This dataset contains BIOCLIM variables (plus huss, sfcwind, rsds) which have been prepared and calculated from the original ISIMIP3b bias-adjusted climate forcing data from 5 GCM models (obtained on 2023-08-07).

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 cropped to the European extent 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 22 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
huss = Average (arithmetric mean) specific humidity
rsds = Average (arithmetric mean) Surface downwelling shortwave radiation
sfcwind = Average near-surface wind speed (arithmetric mean)

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Data properties:

Shared Socioeconomic Pathways (SSP) SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5
General circulation models (GCMs) GFDL-ESM4, IPSL-CM6A-LR, MPI-ESM1-2-HR, MRI-ESM2-0, UKESM1-0-LL
Spatial grain 0.5 degree (~50km²)
Geographic projection WGS 84
Temporal grain 10 year steps
Spatial extent Continental Europe including Turkey (see screenshot)
Temporal extent 1850 to 2010 (Historical), 2010 - 2100 (Future)
Number of variables 22


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. 

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Additional details

Related works

Continues
Report: 10.5281/zenodo.13132423 (DOI)

Funding

European Commission
ACCREU - Assessing Climate Change Risk in EUrope 101081358
European Commission
Service Contract 07.0202/2020/836131/SER/ENV.D.2

Dates

Collected
2023-08-07
Date of Collection of Input forcing data