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 on local and remote climate and the carbon cycle across Earth system models (ESMs). Work package 1 (WP1) simulations of LAMACLIMA project consist of land-use-induced climate and carbon change sensitivity experiments. The scenarios do not represent realistic or policy relevant realizations. Instead, they simulate globally idealized constant land-use changes under present-day environmental conditions. This approach offers two main advantages. First, large-scale land-use simulations enhance the signal-to-noise ratio, enabling a clearer evaluation of the upper bound of potential impacts, despite their idealized nature. Second, applying global rather than regionally constrained changes permits a more comprehensive and comparative assessment of land-use impacts worldwide. The WP1 simulations consist of the five scenarios (CTL, CROP, FRST, IRR, and HARV); for example, “MPI-ESM-1.2 output of LAMACLIMA work package 1 (WP1): idealized constant global re-/afforestation (FRST) under present-day environmental conditions”. We use the MPI-ESM-1.2-LR climate model, which includes the following model components: - Atmosphere model: ECHAM6.3 (Triangular truncation: T63, approx. 1.88°×1.88°, 200 km; 47 vertical levels) - Land model: JSBACH3.2 (Triangular truncation: T63, approx. 1.88°×1.88°, 200 km) - Ocean dynamical model: MPIOM1.6 (GR1.5, approx. 150 km; 40 vertical levels) - Ocean biogeochemistry model: HAMOCC6 - Coupler: OASIS3-MCT We ran the land model JSBACH3.2 with the following options: - use_dynveg = false - use_disturbance = true - lcc_forcing_type = transitions - lcc_scheme = 2 The MPI-ESM output from the different model components was post-processed using the Climate Model Output Rewriter (CMOR) in accordance with CMIP data conventions. For further details, see: Mauritsen et al., 2019: https://doi.org/10.1029/2018MS001400

The data include daily, monthly, and seasonal variables of CORDEX experiments scaled down onto a ca. 12.5 km grid over Europe (acronym: EUR-44) based on the ALARO-0 regional climate model. Each file contains a single variable and is formatted according to the CORDEX data protocol - meaning NetCDF-4 compressed, CF-1.4 compliant, with attributes and filenames according to the specified DRS. The experiments provided are evaluation, historical, rcp85, rcp45 and rcp26 using forcing data derived from the CMIP5 model CNRM-CM5. The data are provided on the model computational (native) grid.

The data include daily, monthly, and seasonal variables of CORDEX experiments scaled down onto a ca. 50 km grid over Europe (acronym: EUR-44) based on the ALARO-0 regional climate model. Each file contains a single variable and is formatted according to the CORDEX data protocol - meaning NetCDF-4 compressed, CF-1.4 compliant, with attributes and filenames according to the specified DRS. The experiments provided are evaluation, historical, rcp85, rcp45 and rcp26 using forcing data derived from the CMIP5 model CNRM-CM5. The data are provided on the model computational (native) grid.