The LANDMATE PFT dataset provides a land cover map for North America for the year 2015 in 0.1° (~10 km). The dataset is based on land cover data of the ESA Climate Change Initiative (ESA-CCI, native resolution:
Historical simulation with REMO2020-2-iMOVE performed on the EURO-CORDEX domain at 0.11 degree resolution, using MPI-ESM1-2-HR data as lateral boundary conditions for the years 1950-2014, using static
Scenario simulation with REMO2020-2-iMOVE performed on the EURO-CORDEX domain at 0.11 degree resolution, using MPI-ESM1-2-HR SSP 126 data as lateral boundary conditions for the years 2014-2100, using static
Historical simulation with REMO2020-2-iMOVE-LUC performed on the EURO-CORDEX domain at 0.11 degree resolution, using MPI-ESM1-2-HR data as lateral boundary conditions for the years 1950-2014, with annual
SSP126 simulation with REMO2020-2-iMOVE-LUC performed on the EURO-CORDEX domain at 0.11 degree resolution, using MPI-ESM1-2-HR SSP126 data as lateral boundary conditions for the years 2015-2100, with annual
Evaluation simulation with REMO2020-2-iMOVE performed on the EURO-CORDEX domain at 0.11 degree resolution, using ERA5.1 reanalysis data as lateral boundary conditions for the years 1981-2020, using static
Evaluation simulation with REMO2020-2-iMOVE-LUC performed on the EURO-CORDEX domain at 0.11 degree resolution, using ERA5.1 reanalysis data as lateral boundary conditions for the years 1981-2020, with
Earth system model output of LAMACLIMA work package 1 (WP1): idealized global land-use scenarios of cropland expansion, re-/afforestation, irrigation, wood harvest, and reference control
Land use plays a critical role in global mitigation and local adaptation strategies. However, its impacts on local and remote climate and the carbon cycle remain poorly understood across Earth system models
MPI-ESM-1.2 output of LAMACLIMA work package 1 (WP1): idealized global land-use scenarios, including cropland expansion, re-/afforestation, irrigation, wood harvest, and reference control
This dataset comprises MPI-ESM-1.2 output from WP1 scenarios of the LAMACLIMA project. In LAMACLIMA, we analyzed the role of land use for global mitigation and local adaptation strategies and its impacts
MPI-ESM-1.2 output of LAMACLIMA work package 1 (WP1): idealized constant global cropland expansion with irrigation (IRR) under present-day environmental conditions
This dataset contains MPI-ESM-1.2-LR output from the work package 1 (WP1) IRR scenario of idealized constant global cropland expansion with irrigation. Similar to the CROP scenario, the simulation branches
This dataset contains MPI-ESM-1.2-LR output from the work package 1 (WP1) CROP scenario of idealized constant global cropland expansion. The simulation branches from the 2014 CMIP6 historical concentration-driven
MPI-ESM-1.2 output of LAMACLIMA work package 1 (WP1): reference control scenario (CTL) with constant present day land cover under present-day environmental conditions.
This dataset contains MPI-ESM-1.2-LR output from the work package 1 (WP1) CTL scenario with constant present day land cover (end of the year 2014) under present-day environmental conditions without any
MPI-ESM-1.2 output of LAMACLIMA work package 1 (WP1): idealized constant global re-/afforestation with wood harvest (HARV) under present-day environmental conditions.
This dataset contains MPI-ESM-1.2-LR output from the work package 1 (WP1) HARV scenario of idealized constant global re-/afforestation with extensive wood harvest. The simulation branches from the LAMACLIMA
This dataset contains MPI-ESM-1.2-LR output from the work package 1 (WP1) FRST scenario of idealized constant global re-/afforestation. The simulation branches from the 2014 CMIP6 historical concentration-driven