Climate data at very-high resolution (1 km spatial resolution) for Sierra Nevada, the highest mountain region in the Iberian Peninsula located in southeastern Andalusia (Spain). Data obtained using the
Climate data at very-high resolution (1 km spatial resolution) for Sierra Nevada, the highest mountain region in the Iberian Peninsula located in southeastern Andalusia (Spain). Data obtained using the
The module allows for taking into account wind farms in atmospheric modelling via the wind farm parametrization by Fitch et al, 2012 in the regional climate model COSMO-CLM. Prerequisite is a wind farm
The LANDMATE PFT dataset provides land cover maps for Europe for the years 1992-2015 in 0.1° (~10km) resolution and a land cover map for Europe for the year 2015 in 0.018° (~2km) resolution. Minor interpolation
The data was produced employing the Advanced Research Weather Research and Forecasting model (WRF) version 4.1.2 (Skamarock et al., 2019) for the dynamical downscaling of GCM data. WRF is a fully compressible
The LANDMATE PFT dataset provides a land cover map for Europe for the year 2015 in 0.1° (~10km) and 0.018° (~2km) resolution. The dataset is based on land cover data of the ESA Climate Change Initiative
Regional climate simulations with the COSMO-CLM V. 6.0-CLM6 model by UCLouvain.
Dynamical downscaling on the CORDEX EUR-11 domain and HRes domain over Belgium at convection-permitting scale.
Model
Regional climate simulations with the MAR V 3.9 model by University of Liège.
Dynamical downscaling on the CORDEX EUR-11 domain and HRes domain over Belgium at convection-permitting scale.
Model
Regional climate simulations with the ALARO-0 model by the Royal Meteorological Institute of Belgium and Ghent University (RMIB-UGent).
Dynamical downscaling on the CORDEX EUR-11 domain and HRes domain
The module allows for taking into account wind farms in atmospheric modelling via the wind farm parametrization by Fitch et al, 2012 in the regional climate model COSMO-CLM. Prerequisite is a wind farm
The SSP1-2.6 scenarios (2015-2100) are forced by several CMIP6 GCM simulations (MPI-ESM1-2-HR, EC-Earth3-Veg, MIROC6, CMCC-CM2-SR5, CNRM-ESM2-1, NorESM2-MM) and provided for Europe. The simulation with
The SSP1-2.6 scenarios (2015-2100) are forced by several CMIP6 GCM simulations (MPI-ESM1-2-HR, EC-Earth3-Veg, MIROC6, CMCC-CM2-SR5, CNRM-ESM2-1, NorESM2-MM) and provided for Europe. The simulation with
The SSP1-2.6 scenarios (2015-2100) are forced by several CMIP6 GCM simulations (MPI-ESM1-2-HR, EC-Earth3-Veg, MIROC6, CMCC-CM2-SR5, CNRM-ESM2-1, NorESM2-MM) and provided for Europe. The simulation with
The SSP1-2.6 scenarios (2015-2100) are forced by several CMIP6 GCM simulations (MPI-ESM1-2-HR, EC-Earth3-Veg, MIROC6, CMCC-CM2-SR5, CNRM-ESM2-1, NorESM2-MM) and provided for Europe. The simulation with