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2025

43 record(s)
 
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  • Polar volume reflectivity data from the Wideumont weather radar. Volume data files are produced every 5 minutes from a multiple elevation scan. This product is not publicly available yet.

  • This datasets is a summary of the CTD profiles measured with the RV Belgica. It provides general meta-information such as the campaign code, the date of measurement and the geographical information. An important information is the profile quality flag that describes the validity of the data. A quality flag = 2 means the data is generally good although some outliers can still be present. A quality flag = 4 means the data should not be trusted. 1 meter binned data can be download on the SeaDataNet CDI portal (enter the cruise_id in the search bar) ONLY for the good quality profiles. Full acquisition frequency datasets are available on request to BMDC.

  • 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 SYNOP data of RMI contain the observations of the synoptic network, currently consisting of 29 stations, 13 of which are owned by RMI. The other stations belong to MeteoWing (8 stations), Skeyes (7 stations). There is also 1 foreign station. All SYNOP data is given in Universal Time! (local time winter = UT +1; local time summer = UT + 2) Parameters: 1. Precipitation: PRECIP_QUANTITY + PRECIP_RANGE 2. Temperature: TEMP + TEMP_MIN + TEMP_MAX + TEMP_GRASS_MIN 3. Wind: WIND_SPEED + WIND_SPEED_UNIT + WIND_DIRECTION + WIND_PEAK_SPEED 4. relative humidity: HUMIDITY_RELATIVE 5. weather type: WEATHER_CURRENT 6. air pressure: PRESSURE of PRESSURE_STATION_LEVEL 7. sunshine duration: SUN_DURATION_24H 8. Global radiation: SHORT_WAVE_FROM_SKY_24HOUR 9. Total cloudiness: CLOUDINESS

  • Owners' origin - Legal persons corresponds to the dataset describing the origin of the legal persons holders of real rights over immovable properties located in Belgium according to the municipality of their headquarters for legal persons settled in Belgium and according to the country or territory of their headquarters for foreign legal persons. This dataset is made up of seven classes. The first class shows, at national level, for each type of property, the total number of parcels, the number of parcels held by holders from each Belgian municipality and the number of parcels held by holders from each country or territory. The number of parcels takes into account the shares actually held. The second class shows this information at the level of the three regions. The following classes do the same at the level of provinces, arrondissements, municipalities, land register divisions and statistical sectors. The dataset is freely downloadable, in the form of zipped CSV files.

  • 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

  • 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

  • This webservice allows the Territorial Divisions product, which represents all recognised Belgian geographical units, to be visualised. The AdminVector dataset includes the statistical, geographical and administrative units of Belgium. The dataset of the judicial cantons and arrondissements displays the geographical units used for the organisation of the courts. The dataset of the electoral cantons consists of geographical units used for the organisation of elections. The dataset of the postal districts includes the boundaries of the Belgian postal cantons. The link to the webservice is available under 'Access' at the bottom of this page.

  • This service allows consultation of the spatial metadata of the complete collection of aerial photos of the National Geographic Institute (NGI), from 1946 to today. The data is accessible via a Web Feature Service (WFS). The aerial photos themselves are not part of the service. The collection comprises more than 100,000 aerial photos. The images are predominantly panchromatic (black and white). From the late 1970s onwards, colour images were also taken, and from the end of 2004 onwards all images were taken in colour. The analogue aerial photos in the collection were scanned in high resolution. More recent aerial photos were captured directly in digital format. This specific service includes three layers: the centroids (centre points) of the individual aerial photos, the footprints (the outlines of the area on the ground covered by each photo), and the flight paths of the aircraft used during image acquisition. For each aerial photo, all known metadata is included in the attribute table, such as the acquisition date, the flight and the strip, the dimensions, the scale, the ground resolution, the radiometry (black and white or colour), the coordinates of the centre point, and the camera, lens and film used. This data makes it possible to find out which aerial photos are available for a given location and period, and what the characteristics of each photo are. The aerial photos can be ordered in high resolution via https://shop.ngi.be/nl/luchtfotos/.

  • Buyers' origin - Natural persons corresponds to the dataset describing the origin of the buyers (natural persons) of real estate located in Belgium according to their municipality of residence for residents and according to their country or territory of residence for the non-residents (residence at the date of the deed). This dataset is made up of seven classes. The first class shows, at national level, for each type of property, the total number of parcels, the number of parcels acquired by buyers from each Belgian municipality and the number of parcels acquired by buyers from each country or territory. The number of parcels takes into account the shares actually acquired. The second class shows this information at the level of the three regions. The following classes do the same at the level of provinces, arrondissements, municipalities, land register divisions and statistical sectors. The dataset is freely downloadable, in the form of zipped CSV files.