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This dataset is part of the 2018 Belgian submission for the Marine Strategy Framework Directive (MSFD) linked to descriptor 8, criterion 3. This dataset gives an overview of the observed slicks during aerial survey operations of the Belgian part of the North Sea (2011-2016). Related to significant acute pollution, it includes the observations linked to the Flinterstar incident in 2015. Besides this, all observations of illegal discharges of MARPOL (International Convention for the Prevention of Pollution from Ships) annex I and II substances are included as an additional dataset.
The Geological Map of Belgium at a scale of 1:40000 is published by the Belgian Geological Survey.
Radar Interferometry map of the Border of Belgium and Netherlands. The blue colours correspond to positive deformation (uplift) of the ground surface related to the recharge of a mining aquifer.
The Royal Decree of 22 May 2019 establishing a marine spatial plan defines 7 cultural heritage (wrecks) zones: 'HMS Briljant' wreck (Art. 22), 'SS Kilmore' wreck (Art. 22), '’t Vliegend Hart' wreck (Art. 22), 'U-11' wreck (Art. 22), 'West Hinder' wreck (Art. 22), Wooden wreck 'Oostende' (Art. 22), Wreck site 'Buiten Ratel' (Art. 22). Please refer to the Belgian official gazette ("Moniteur belge/Belgisch Staatsblad") for official reference information.
This dataset represents the exact location of electrical cables installed in the Belgian Part of the North Sea, including these for for the wind farms.
Characteristics of the cadastral parcels - Exemption from withholding tax on immovable property corresponds to the dataset describing the parcels exempted from withholding tax on immovable property. The first class shows, at the national level, the number of parcels per exemption category, the total amount of cadastral income of these parcels, their surface area as well as the median cadastral income of each category. The second class includes this information at the level of the three regions. The following classes do the same at the level of provinces, arrondissements, municipalities, cadastral divisions and statistical sectors. The dataset can be freely downloaded as a zipped CSV.
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 data consists in tables of estimated extreme precipitation quantities for precipitation durations ranging from 10 minutes to 30 days and return periods ranging from 2 to 200 years for each Belgian municipality.
Weather model INCA. Available parameters : 2m Temperature, 2m Dewpoint, 2m Relative Humidity, Snowfall level, Freezing level, 3D Temperature, 3D Humidity, 3D Wind, 10m Wind, 10m Gusts, Ground temperature, Wind chill, Precipitation, Precipitation type, Lightning, Collection of convective analysis fields:CAPE, CIN, LCL, Level of free convection,Lifted Index, Showalter Index, Deep ConvectionIndex, Trigger temperature, Trigger temperaturedeficit, Equivalent Pot. temperature, Moistureconvergence, Flow divergence, Precipitable water, Cloudiness, Visibility. This product is not publicly available yet
From multiple observations during the day with UV spectrophotometers a daily value of the ozone column is calculated. This product is not publically available yet.