An hillshade is a homogeneous and regular points grid, indicating the grey tone deriving from their orientation relative to the chosen fictitious light source. The Hillshade DTM 1m is a representation of the hillshading of the DTM 1m.

The DTM 5m, digital terrain model at 5m-resolution, is a homogeneous and regular point grid indicating the height of the ground level in order to model its surface, without taking into account objects on the surface such as buildings and vegetation. The DTM 5m is the result of the assembly of different data coming from various sources and with different coordinate systems and resolutions. The DTM 1m is achieved by interpolating in Lambert 2008 source data in Lambert 72 and at a 1m-resolution from the Flemish (2013-2015) and Brussels (2021) regions, and by adding Lambert 2008 data at 1m-resolution from the Walloon Region (2021-2022). The DTM 5m is obtained by resampling of the DTM 1m. In addition, the DTM 5m is improved and updated internally using direct photogrammetric surveys based on the most recent aerial photographs.

Annual, seasonal and monthly precipitation amounts given in respectively mm/year, mm/3 months and mm/month. The precipitation amounts are available for the present target year 1975, which corresponds to the middle of the 30-year period 1961-1990.

UNDER EMBARGO - This dataset contains the data on porewater nutrients, sediment granulometry, and pigment concentrations that were collected in the C-power offshore wind farm in spring, summer, and autumn of 2022 for the OUTFLOW project. Data were gathered at increasing distances from the scour protection layer (SPL) of a wind turbine, 7, 15, 25, and 75 m away from the edge. Cores were collected by divers, and a boxcore was used for samples 75 m away. From these cores, porewater nutrients were collected with rhizon samplers, and cores were slices in 0.5 to 2 cm slices, and each slice was analyzed for total organic carbon, total nitrogen, granulometry, and algal pigment concentrations.

Summer and winter mean relative humidity given in %. The relative humidity fields are available for the future target year 2085, which corresponds to the middle of the 30-year period 2071-2100, and for mean and high impact scenarios corresponding respectively to the 50th and 5th percentiles of the change factors.

Summer and winter mean global solar radiation given in kWh/m²/day. The global solar radiations fields are available for the future target year 2085, which corresponds to the middle of the 30-year period 2071-2100, and for mean and high impact scenarios corresponding respectively to the 50th and 95th percentiles of the change factors.

Annual, seasonal and monthly precipitation amounts given in respectively mm/year, mm/3 months and mm/month. The precipitation amounts are available for the future target year 2085, which corresponds to the middle of the 30-year period 2071-2100, and for mean and high impact scenarios corresponding to respectively the 50th, and 5th or 95th percentiles of the change factors.

The DSM 1m, digital surface model at 1m-resolution, is a homogeneous and regular point grid indicating the height of the Earth’s surface level in order to model its landscape, also including objects on the surface such as vegetation and buildings. The DSM 1m is achieved by interpolating in Lambert 2008 source data in Lambert 72 and at a 1m-resolution from the Flemish (2013-2015) and Brussels (2021) Regions, and by adding Lambert 2008 data at 1m-resolution from the Walloon Region (2021-2022).

The climate projections for Belgium are available as different data types: 1/ Daily climate model simulations and projections at a high spatial resolution of 0.025° or 2.8km for 3 Regional Climate Models (download service with NetCDF files): - ALARO-0 forced with the Global Climate Model ‘CNRM-CERFACS-CNRM-CM5’, calculated by RMIB-UGent; - COSMO-CLM5.0-TERRA-URB forced with the Global Climate model ‘ICHEC-EC-EARTH’, calculated by KULeuven; - COSMO-CLM5.0 forced with the Global Climate Model ‘MPI-M-MPI-ESM-LR’, calculated by UCLouvain. 2/ Climate indicators for a present (1975) and future (2085) target year under a mean and high impact scenario (view and download service with raster files). The climate indicators for Belgium were obtained by a statistical downscaling based on the high-resolution Belgian climate model projections, as well as on a large set of both Global Climate Model runs (CMIP5) and Regional Climate Model runs for Europe (EURO-CORDEX).