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The entities included in dataset represent the Belgian waterway transport network in the sense of the Inspire European directive. The dataset comprises several classes and is in accordance with the INSPIRE specifications. The class represents, in a linear manner, all of the waterway links between each pair of dots for the network considered. In addition to this is one class without geometry. The RestrictionForWaterCehicles class specifies for each segment the maximum tonnage of the building using the segment.
Regional Climate Model: ALARO-0 model This data includes spatially-detailed climate projections for Belgium and can be used for climate-change impact assessments (historical and RCP simulations) and analysis of past climate (evaluation simulation). Note that the historical run will, by construction, not correspond to past observations. For further details please contact RMI or firstname.lastname@example.org. This dataset has been obtained by dynamical downscaling using the regional climate model ALARO-0 (Termonia et al., 2018a) in the context of the BELSPO-funded project CORDEX.be (Termonia et al, 2018b, www.euro-cordex.be). The downscaling methodology is in line with the guidelines of the Coordinated Regional Downscaling Experiment (CORDEX; Jacob et al. 2014) and follows the climate scenario's RCP2.6, RCP4.5 and RCP8.5 as suggested by the Intergovernmental Panel on Climate Change. The spatial resolution of the data is 4-km and the domain covers a region centered over Belgium. The temporal resolution of the data is daily over long continuous periods. The historical experiment covers the period 1976-2005 and the RCP scenarios cover the period 2007-2100. Precipitation data has undergone thorough validation (Van de Vyver et al., 2021) and investigation (Helsen et al., 2020). The 4-km simulations were performed in a double (one-way) nesting setup where the Belgian domain was nested in an ALARO-0 run over the EURO-CORDEX domain (Berckmans et al, 2021) with a resolution of 0.44° (≃ 50 km) and validated in Giot et al. (2016). Around Europe the latter was forced by the global climate model CNRM-CM5 (historical, RCP 2.6, RCP 4.5, RCP 8.5) that has a resolution of about 1.4° (≃ 155 km) and is part of the Coupled Model Intercomparison Project CMIP5. Giot et al., 2016. DOI: 10.5194/gmd-9-1143-2016 Helsen et al., 2020. DOI: 10.1007/s00382-019-05056-w Termonia et al., 2018a. DOI: 10.1016/j.cliser.2018.05.001 Termonia et al., 2018b. DOI: 10.5194/gmd-11-257-2018 Jacob et al., 2014. DOI: 10.1007/s10113-013-0499-2 Van de Vyver et al., 2021. DOI: 10.1175/JAMC-D-21-0004.1 Further info can be found on https://cordex.org/experiment-guidelines/ http://www.belspo.be/belspo/brain-be/projects/FinalReports/CORDEXbe_FinRep_AD.pdf Periods: * present climate: HIST_1975_2005 * future climate, 3 emission scenarios RCP 2.6, RCP 4.5, RCP 8.5: RCP26_2007_2100, RCP45_2007_2100, RCP85_2007_2100 Variables: 1. et0 = Reference Evapotranspiration [kg m-2 s-1]; to get this in mm/day, the data should be multiplied by 60*60*24 = 86400. It is calculated following the FAO method (Allen et al., 1998) using the Penman-Monteith equation for reference (potential) crop evapotranspiration 2. hurs = relative humidity [%] 3. pr = precipitation [kg m-2 s-1]; to get precipitation in mm/day, the data should be multiplied by 60*60*24 = 86400 4. rsds = global solar radiation [W m-2] 5. sfcWind = wind at 10 m [m s-1] 6. tas = near-surface (2 m) air temperature at 2 m [K] 7. tasmax = daily maximum near-surface (2 m) air temperature [K] 8. tasmin = daily minimum near-surface (2 m) air temperature [K] 9. et0 = Reference Evapotranspiration [kg m-2 s-1]; to get this in mm/day, the data should be multiplied by 60*60*24 = 86400
The entities included in the dataset represent the physical network in the sense of the Inspire European directive. The dataset comprises several classes and is in accordance with the INSPIRE specifications. The Wetland class represents poorly drained or periodically flooded portions of land, the soil of which is saturated with water but where vegetation is nevertheless able to develop. The StandingWater class represents flooded areas that are, nevertheless, completely surrounded by land.
The product is made of 5 "high resolution layers" covering all the Belgian territory as part of a European-wide coverage for the reference year 2015. The 5 layers concern 4 distinct themes: Imperviousness, Forest, Grasslands, Wetness and Water. The 5 layers were produced by an automatic classification based on satellite images and collateral data and achieved by private companies (EEA service providers), and they were verified by Belgium. At the Belgian level, verification and enhancements were made by IV for the northern part and SPW for the outhern part. The NGI coordinated the project. Data was produced with funding by the European Union. Copyright Copernicus Programme DISCLAIMER: National Geographic Institute has undertaken to distribute the data on behalf of EEA under Specific Contract No 3436/R0-Copernicus/EEA.57005 implementing Framework service contract No EEA/IDM/R0/16/009/Belgium. National Geographic Institute accepts no responsibility or liability whatsoever with regard to the content and use of these data.” The European Environment Agency accepts no responsibility or liability whatsoever with regard to the information on this site and the information does not necessarily reflect the official opinion of the EEA or other European Communities bodies and institutions.
Whole of marks whose height with respect to the zero mark of the second general leveling is known.
Network of marks whose planimetric coordinates are known with precision according to the reference systems which are used in Belgium.
The Royal Observatory of Belgium maintains several continuously observing GNSS tracking stations in Belgium. The stations are also belonging to EUREF Permanent Network (EPN) used to maintain the ETRS89 and the observation data are available to the public through https://doi.org/10.24414/FST8-P256.
Top10Vector – Rail network is the data set of the railway network in Belgium. This data set includes three classes. First class: rail network kilometre markers. Second class: railway stop. Third class: railway track segments. This data set can be bought via the corresponding hyperlink.
This web service provides the download per object of the datasets Administrative units - current situation and Land register plan - current situation. This webservice complies with the INSPIRE specifications, but the datasets to which it gives access do not comply with the INSPIRE specifications.
This web service provides the display of the datasets Administrative units - current situation and Land register plan - current situation. This webservice complies with the INSPIRE specifications, but the datasets to which it gives access do not comply with the INSPIRE specifications. This web service is available in several formats. It is recommended to use the PNG format.