Download Service (WFS) for Networks of automatic lidar-ceilometer systems The data are updated each 10 minutes. Only the archives of the last 30 days are available.

Download Service (WCS) for Alaro over Belgium. All the parameters of the last run of Alaro can be downloaded in grid format

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.

View Service (WMS) for Synoptic observations

View Service (WMS) for Alaro over Belgium. All the parameters of the last run of Alaro can be visualized, most of them associated with a custom style.

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.

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.

Gridded observational data provides an estimate of the spatial distribution of a meteorological variable based on observations. While instrumental measurements are taken at irregularly distributed stations, gridded data represents the meteorological variable on a predefined regular grid. Gridded observational data is of strong benefit in disciplines applying distributed quantitative models to examine the influence of weather and climate. Gridded data are also very convenient to provide estimations for any specific location of interest for the user. Gridded observational data covering Belgium at a spatial resolution of 5 km (= 1360 pixels) are available for several variables (precipitations, air temperature, sunshine duration, solar radiation, relative humidity and wind speed) as well as different temporal resolutions (daily, monthly, seasonal, annual values as well as long-term climate averages). The gridded database starts in 1961 for most variables and is updated each day with the available observations of the previous day. All grids are then updated for archiving as soon as the data quality control is completed. In addition to the 5km x 5km grids, spatial averages for all each Belgian municipality are also available. This product is not publically available yet. The daily gridded climate data are available for academic profiles after registration on our open data website.

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

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