Hail products are derived from the observed vertical profiles of radar reflectivity and the NWP vertical profiles of temperature. Three types of products are generated. poh : probability of hail of any size (larger than 0.5 cm diameter)expressed in %. posh : probability of severe hail(larger than 2cm)expressed in %. mesh : maximum expected size of hailexpressed in mm of hailstone diameter. All products are generated every 5 minutes. This product is not publically available yet.

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

Characteristics of cadastral parcels - Concentration of cadastral income corresponds to the dataset measuring the concentration of cadastral income for parcels of a housing-like nature. This dataset is composed of seven classes. The first class shows, at the national level, for each category of parcels dedicated to housing, the number of parcels and the total cadastral income of the parcels by cadastral income bracket. 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.

Real estate property dynamics corresponds to the dataset describing changes in ownership in Belgium as recorded by the FPS Finance. This dataset comprises seven classes. The first class includes, at national level, for each cadastral nature, the total number of parcels, the number of parcels that have changed ownership at different time intervals, the median and mean duration since the last change of ownership, the 25 and 75 percentiles of the duration since the last change of ownership, and the mean duration of ownership rotation over the entire existence of the parcels. The second class uses this information for all three regions. The following classes do the same for provinces, arrondissements, communes, cadastral divisions and statistical sectors. The dataset is freely downloadable as zipped CSV files.

'Top10Vector – Constructions' is the vector dataset of constructions in Belgium. The dataset consists of 7 feature types, including those for buildings [CO_constructions] and those for bridges and tunnels [CO_brunnel]. The geometry of buildings can be supplemented with additional point [CO_toweronbuilding] or surface elements [CO_additionalpolygongeometry], which indicate the position of towers or other structures on buildings. Other structures are polygon [CO_particularpolyconstruction], linear [CO_particularlineconstruction] or point [CO_particularpointconstruction] feature types. The dataset can be downloaded via the links in 'Access' at the bottom of this page.

Electricity network is the INSPIRE vector data set originated from the High-Tension network of the product TOP10Vector of the National Geographic Institute in Belgium. The Electricity network is regularly updated with the ELIA Group data sources. It includes the "ElectricityCable" features and the "Pole" features in accordance with the INSPIRE specifications.

Annual, summer and winter mean potential evapotranspiration given in respectively mm/year and mm/3 months and based on the Penman-Monteith definition. The potential evapotranspiration fields are available for the present target year 1975, which corresponds to the middle of the 30-year period 1961-1990.

Since August 2019, users of the RMI smartphone app are able to send an observation of the meteorological conditions at a certain place and a certain time. The observations provide information about the weather conditions and potentially severe weather to the other users and to RMI. The collection of citizen weather reports is a valuable complement to the information obtained with the classical instruments like stations, radar and satellite. The data can be exploited for nowcasting, warnings and model verification, and eventually in assimilation. A general introduction of the data and their characteristics can be found in Reyniers et al. (2023). A basic quality control is implemented on the received observations via a plausibility check. This plausibility check determines whether an observation is plausible, suspicious or false, by comparing it to the INCA-BE nowcasting system using a simple thresholding scheme. INCA-BE is RMI's operational nowcasting system described in Reyniers et al. (2021). There is no strict spatial extent since there is no restriction at the input side: users can send observations from all over the globe. The bulk of the observations are received from within Belgium. Note that the plausibility check is not available for reports from outside Belgium.

Emergency rescue zones corresponds to the dataset of the territorial delimitation of the emergency areas such as defined by the Royal Decree of February 2nd 2009 determining the territorial delimitation of the emergency areas in accordance with the law of May 15th 2007 on civil protection. This dataset is composed of two classes. The first class contains the identifiers, names and geometries of the various areas; the second is a class without geometry and corresponds to the table of Belgian municipalities with the emergency area for each of them. The dataset can be freely downloaded as a zipped shapefiles.

Mapping plan parcel - statistical sector corresponds to the dataset associating a plan parcel such as defined in article 2 of the Royal Decree of July 30th 2018 with the statistical sector including it. This dataset is composed of a single class mentioning the identifier of the plan parcels as well as the identifier of the statistical sectors. The dataset can be freely downloaded as a zipped CSV.