Gridded SSP-RCP land cover data from IMAGE 3.0.1

This dataset contains gridded global land cover data at 30 arcmin spatial resolution for various combinations of the shared socioeconomic pathways (SSPs) and representative concentration pathways (RCPs) from 1970 until 2100 in 5-year timesteps, based on the Integrated Model to Assess the Global Environment (IMAGE 3.0.1). The zip file ssp_nc_files.zip contains 15 subfolders, one for each SSP-RCP combination. Each subfolder contains two files with different land cover types: GLANDCOVER_30MIN.nc cropland (1) pasture (2) forest (3) other natural land (4) urban areas (5) GLANDCOVERDETAIL_30MIN.nc rainfed cropland (1) irrigated cropland (2) rainfed bio-energy crops (3) irrigated bio-energy crops (4) additional deforestation (5) protected area (6) For each grid cell, the global land cover data shows the grid cell share (0-1) allocated for a certain land cover type. The file GAREACELLNOWATER_30MIN.NC can be used in combination with the grid cell shares to calculate the land surface area (km2) per land cover type. SSP scenarios from IMAGE are documented in: https://doi.org/10.1016/j.gloenvcha.2016.05.008 For any repository inquiries please contact: Jonathan Doelman ([e-mail]) or Ruben Prütz ([e-mail]). Python code to preprocess the land cover data can be found at: https://github.com/rubenpruetz/analysis-biodiversity-impact-per-removal KNMI Data Platform: https://dataplatform.knmi.nl/organization/pbl