Daily forecasts for each Belgian commune, from current day up to the next 14 days. Available parameters are : min temperature, max temperature, weather type, wind speed, wind direction, maximum hust speed, quantity of precipitation. This product is not publicly available.

'Top10Vector – Particular Zones' is the vector dataset covering areas within Belgium that are designated for a specific purpose. This dataset contains just one feature type [ZO_particularzone]. The dataset can be downloaded via the links in 'Access' at the bottom of this page.

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.

RADQPE provides high resolution radar-based quantitative precipitation estimation in realtime for Belgium and its surroundings. This product is not publically available yet.

Hourly forecasts for each belgian commune, from current hour up to the next 5 days. This product is not publically available.

RADCLIM is a historical dataset based on weather radar observations that provides gridded accumulated precipitation composites over Belgium and surrounding regions. The data are distributed in ODIM_H5 version 2.2 format. The reported quantity is accumulated precipitation (ACRR) for 5-minute and 1-hour accumulation periods. UTC is used as the time reference, and the timestamp in the filename corresponds to the end of the accumulation period. The dataset is produced on a 700 × 700 grid with 1 km spatial resolution in the Belgian Lambert 2008 projection (Lambert Conformal Conic).

UV Index derived from spectral measurements with a Brewer UV spectrophotometer. 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

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