Bird density profiles are derived from weather radar volume data in real time, by the vol2bird algorithm as described in Dokter et al. (2011, 2019). The vol2bird algorithm exploits the radar reflectivity characteristics of different scatterers in the atmosphere, in order to distinguish biological from non-biological radar echoes. Once biological scatterers are isolated in the volume files, the reflectivity of these scatterers is converted in an estimate of the bird density per vertical layer of 200m, using a mean cross section of 11 cm2. The vbird profiles are provided for the following radars, with the radar owner in parentheses: Jabbeke (RMI), Wideumont (RMI), Helchteren (VMM), Zaventem (Skeyes), Herwijnen (KNMI), Den Helder (KNMI), Neuheilenbach (DWD), Essen (DWD), Abbeville (Météo-France) and Avesnois (Météo-France). References: - Dokter A.M., Liechti F., Stark H., Delobbe L., Tabary P., Holleman I., Bird migration flight altitudes studied by a network of operational weather radars, J. R. Soc. Interface, 8, 30–43, 2011, DOI 10.1098/rsif.2010.0116 - Dokter A.M., Desmet P., Spaaks J.H., van Hoey S., Veen L., Verlinden L., Nilsson C., Haase G., Leijnse H., Farnsworth A., Bouten W., Shamoun-Baranes J., bioRad: biological analysis and visualization of weather radar data, Ecography, 42, 852-860, 2019, DOI 10.1111/ecog.04028

Govroam is a " wifi roaming " solution. This service offers to the users a simple and secure access to the wireless network of their institution, but also to networks of other participating institutions. A user from an organization that participates in govroam will be able to connect to any wireless access point broadcasting govroam. The data provided here makes it possible to locate these access points.

The composite is produced every 5 minutes using the reflectivity data from the Wideumont and Jabbeke weather radars. This product is not publicly available yet.

Real estate leases corresponds to the dataset describing leases on real estate items as recorded for registration purposes by the FPS Finance. This dataset is composed of seven classes. The first class shows, at the national level, for each type of lease within the meaning of the Code of Registration Duties, the number of leases taking effects during the term, the nature of the parties concerned by the contract and the median rent and expenses and the percentiles 25 and 75 of the rent and expenses of the properties concerned. 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.

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.

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.

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.

The ceilometer CL51 employs a pulsed diode laser LIDAR technology, where short, powerful laser pulses are sent out in a vertical or near-vertical direction. The reflection of light (backscatter) caused by clouds, precipitation or other obscuration is analysed and used to determine the cloud base height, the cloud layer height and the amount of clouds (in octas) in different layers.

The product is made of 6 "high resolution layers" covering all the Belgian territory as part of a European-wide coverage. The 6 layers concern 6 distinct themes: Imperviousness, Tree cover density, Forest type, Permanent grasslands, Wetlands and Permanent waterbodies. The 6 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 and enhanced by Belgium. At the Belgian level, verification and enhancements were made by AGIV for the northern part and SPW for the southern part. The NGI coordinated the project.

The Solar Ultraviolet - Visible Irradiance Monitoring network (SUVIM) is formed of observation stations operated by the Royal Belgian Institute for Space Aeronomy (IASB-BIRA). At each station, UV solar radiation is measured by several instruments. The network produces UV indices, solar irradiances and ancillary measurements such as meteorological conditions at the stations in quasi-real time. The SUVIM Station Network dataset includes information on the stations. It does not include the measured data, which form the SUVIM Observations dataset.