geo.be Metadata Catalog
geo.be Metadata Catalog (National Geographic Institute)
https://publish.geo.be:/geonetwork/srv/eng/thesaurus.download?ref=external.theme.httpinspireeceuropaeumetadatacodelistSpatialScope-SpatialScope (2)
Continents, countries, sea regions of the world.
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.
Creative Commons Attribution 4.0 International (CC BY 4.0) This is a human-readable summary of (and not a substitute for) the license. You are free to: Share — copy and redistribute the material in any medium or format Adapt — remix, transform, and build upon the material for any purpose, even commercially. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
RMI forecasters analyze all the available numeric models and choose those reflecting the situation in Belgium best. These model forecasts are then corrected by the forecasters themselves. Monthly statistics are generated to evaluate the quality of the model data and the accuracy of the corrections applied by the forecasters.
6c467faa-a594-4142-abf2-d16aab3f255c https://geo.irceline.be/csw/srv/api/records/6c467faa-a594-4142-abf2-d16aab3f255c/formatters/xml
Download service of air quality data from Belgium - WFS
INSPIRE compliant download service for geographic information made available by the Belgian Interregional Environment Agency (IRCEL - CELINE).
INSPIRE download service for the IDOD database-WFS
INSPIRE compliant download service for geographic information of marine datasets made available by the Royal Belgian Institute for Natural Sciences (RBINS) in the IDOD (Integrated and Dynamical Oceanographic Database) database.
Networks of automatic lidar-ceilometer systems
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 cloud base height, the cloud layer height and the amount of clouds in different layers are computed by the Vaisala CL51 algorithm based on raw backscatter data (time resolution: 6 s and vertical resolution: 10 m). The sky condition algorithm is calculated every five minutes based on data collected during the last 30 minutes. The last 10 minutes are double-weighted to make the algorithm more responsive to variations in cloudiness. The algorithm uses cloud base height and timing information to find cloud base height close each other. These cloud base height are combined into clusters and a height value is calculated for each cluster. This height gives the base height of a cloud layer represented by the cluster. The algorithm reports layers by combining clusters whose heights are close to each other and then selecting clusters that cover the greatest amount of sky.
INSPIRE download service for the core sample collection dataset-WFS
INSPIRE compliant download service (WFS) for geographic information of the core sample collection made available by the Royal Belgian Institute for Natural Sciences (RBINS).
INSPIRE download service for the 2014 Marine Spatial Plan-WFS
INSPIRE compliant download service (WFS) for geographic information of the Marine Spatial Plan made available by the Royal Belgian Institute for Natural Sciences (RBINS).
Area management/restriction/regulation zones and reporting units
Average private household size - Wallonia
The average household size of private households by administrative unit (region, province, district and municipality) for Wallonia.
•The custodian of the resource holds the rights of property (including the rights of intellectual property) to the geographic files •The custodian grants the user the right to use the data for his internal use. •Commercial use of the data under any form is strictly forbidden •Custodian’s name must be mentioned each time the data are being used publically.
Definitions: In general, a household, in the statistical sense of the term, refers to all the occupants of the same dwelling, without these persons necessarily being linked by family ties or marriage (in the case of cohabitation, for example). A household may consist of only one person. Statistics: Household data are taken from the National Register (NR) by Statbel and are based on the official population of Belgium (without the waiting register). A new household typology was adopted in 2015 by Statbel. This typology, which is close to the LIPRO typology developed at the Netherlands Interdisciplinary Demographic Institute (NIDI), makes it possible to reconstruct cohabiting households by algorithm, even if they are not declared as such in the National Register. The datasets presented here are for private households only.
Discovery Service - Open Maps for Europe
This is the discovery service of the pan-European spatial datasets provided by the European mapping and cadastral agencies: EuroGlobalMap, EuroRegionalMap, EuroDEM, Open Cadastral Map, Pan-European Imagery, Open Gazetteer. The datasets are openly available accessible on the platform Open Maps for Europe (OME) http://www.mapsforeurope.org/.
Download Service (WFS) for 'User reports from the RMI smartphone app'
Creative Commons Attribution 4.0 International (CC BY 4.0) This is a human-readable summary of (and not a substitute for) the license. You are free to: Share — copy and redistribute the material in any medium or format Adapt — remix, transform, and build upon the material for any purpose, even commercially. Under the following terms: Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits. Scientific publications should refer to https://doi.org/10.5194/ecss2023-50
Key indicators on future Belgian climate
Mean key indicators on future climate for Belgium for precipitation, temperature, relative humidity, wind speed, global solar radiation and potential evapotranspiration (spatial distributions are available through the WMS view service). The key indicators are derived from a multi-model ensemble of climate change signals or factors for a mean and high impact scenario (corresponding to respectively the 50th, and 5th or 95th percentile of the change factors), and for multiple future target years (2030, 2050, 2085, 2100).
climate projections,Belgium,Representative Concentration Pathway,high resolution
Meteorology, weather and radiation conditions
In the follow-up Belspo funded 'CICADA' project (2019-2021, https://www.belspo.be/belspo/brain-be/projects/FinalReports/CICADAbe_FinRep.pdf), these Belgian climate model projections were used to adjust the spread of climate change signals based on the larger model ensemble of all available CMIP5 Global Climate Model runs (https://pcmdi.llnl.gov/mips/cmip5/) and EURO-CORDEX Regional Climate Model runs (https://euro-cordex.net/060378/index.php.en). This multi-model ensemble of climate change signals or factors were used to apply a statistical downscaling or more specifically a quantile perturbation method on the observational climate grid from the Royal Meteorological Institute of Belgium. From those ensembles, 5th, 50th, and 95th percentiles of changes, corresponding to a mean (50th percentiles) and high (5th or 95th percentiles) impact scenario, were obtained for the variables: precipitation, temperature, relative humidity, wind speed, global solar radiation and potential evapotranspiration.
Royal Meteorological Institute of Belgium
Belgian Interregional Environment Agency (IRCEL - CELINE)
Royal Belgian Institute for Natural Sciences, Directorate Natural Environment, GeoCell
Walloon Institute for Evaluation, Foresight and Statistics (IWEPS)