The global climate model system MPI-ESM-LR was applied to create an ensemble of 30 members for the historical period 1950-2005 and a continuation of the simulations for the RCP8.5 period 2006-2099. Additionally, a pre-industrial control run was performed for 1950-2099 with atmospheric pCO2 of 1850. All members were subsequently directly regionalized using the regionally coupled MPIOM-REMO climate model system consisting of the global ocean model MPIOM focused with its horizontal resolution on the North Sea and the regional atmospheric model REMO over the EURO CORDEX22 region (euro-cordex.net), which was fully coupled with MPIOM in this region. For extreme value analyses, certain variables were stored with hourly time step. Here, global sea surface height and regional (EURO CORDEX22) u and v wind components at 10 m above ground are available. Further data can be requested from the authors.

The global climate model system MPI-ESM-LR was applied to create an ensemble of 30 members for the historical period 1950-2005 and a continuation of the simulations for the RCP8.5 period 2006-2099. Additionally, a pre-industrial control run was performed for 1950-2099 with atmospheric pCO2 of 1850. All members were subsequently directly regionalized using the regionally coupled MPIOM-REMO climate model system consisting of the global ocean model MPIOM focused with its horizontal resolution on the North Sea and the regional atmospheric model REMO over the EURO CORDEX22 region (euro-cordex.net), which was fully coupled with MPIOM in this region. For extreme value analyses, certain variables were stored with hourly time step. Here, global sea surface height and regional (EURO CORDEX22) u and v wind components at 10 m above ground are available. Further data can be requested from the authors.

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