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.
Summer and winter maximum daily precipitation given in mm/day that occur once in a year and once in 5, 10, 15 and 30 years (i.e. return periods of 1 year and 5, 10, 15, 30 years). The precipitation extremes are available for the future target year 2085, which corresponds to the middle of the 30-year period 2071-2100, and for mean and high impact scenarios corresponding respectively to the 50th and 95th percentiles of the change factors.
climate projections,Belgium,Representative Concentration Pathway,high resolution
Meteorology, weather and radiation conditions
•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.
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.
Annual temperature extremes given in number of days: 1/ Total number of heatwaves occurring once in 20 years; 2/ Maximum length of the heatwaves occurring once in 20 years; 3/ Hot days: Mean annual number of days with maximum temperature > 25°C; 4/ Tropical days: Mean annual number of days with maximum temperature > 30°C; 5/ Frost days: Mean annual number of days with minimum temperature < 0°C. Heatwaves are defined according to the Royal Meteorological Institute of Belgium when the maximum temperature in Uccle is >= 25°C during at least 5 consecutive days, during which at least 3 days the maximum temperature is >= 30°C. The temperature extremes are available for the present target year 1975, which corresponds to the middle of the 30-year period 1961-1990.
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.
rainfall intensity-duration-frequency (IDF) analysis
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.
Extreme precipitation are derived from a spatial regression model fitted on rainfall observations in Belgium from 1951 to 2010. More details can be found in the following references: Van de Vyver, H. (2012) Spatial regression models for extreme precipitation in Belgium, Water Resour. Res., 48, W09549, doi :10.1029/2011WR011707. Van de Vyver, H. (2013) Practical return level mapping for extreme precipitation in Belgium, RMI scientific and technical publication 062, 30 pages.
Characteristics of the cadastral parcels - Concentration of cadastral income
Characteristics of cadastral parcels - Concentration of cadastral income corresponds to the dataset measuring the concentration of cadastral income for parcels of a housing-like nature. This dataset is composed of seven classes. The first class shows, at the national level, for each category of parcels dedicated to housing, the number of parcels and the total cadastral income of the parcels by cadastral income bracket. 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.
Steuer- und Registrierungsgebührensstatistik
The licence is fully available in French (https://finances.belgium.be/sites/default/files/Licence_plan_opendata_FR.PDF) or in Dutch (https://financien.belgium.be/sites/default/files/Licentie_plan_opendata_NL.PDF).
Characteristics of the cadastral parcels - Concentration of the cadastral income is compiled from the contents of the reference database for the land register data. It records, for each parcel, its owners, any exempted use they make of it, its cadastral income (i.e. the annual net rental value of the property on January 1st 1975, the reference year for property tax purposes) and its surface area. These variables are determined, after investigation, by the agents of the FPS Finance at the time of the creation of the parcel, after a significant modification of the parcel or after a possible control carried out by the FPS Finance, in particular following the registration of a real right.
This dataset comprises historical orthophotos from the 1950s to 1959, derived from aerial surveys carried out by the National Geographic Institute (NGI). The ground sample distance (GSD) of the images is 50 cm. The mosaics were created using aerial photography campaigns dating from 1951, 1952 and 1954. The original photographs were digitised and orthorectified in the Lambert 2008 coordinate system. The spatial coverage for each year corresponds to the areas for which photographs were available. High-resolution data can be ordered via https://shop.ngi.be/fr/photos-aeriennes/
historical orthophotos, aerial photographs, 1950, 1951, 1952, 1954, panchromatic, black and white, 50 cm resolution
This web service provides a display of the Administrative Units - INSPIRE datase This webservice complies with the INSPIRE specifications.
Administrative, statistical and cadastral units
The European Urban Atlas provides reliable, inter-comparable, high-resolution land use and land cover data for 800 Functional Urban Area (FUA) for the 2012 reference year in EEA39 countries. This datasets contains the FUA for Belgium (Antwerpen, Brugge, Bruxelles_Brussel, Charleroi, Gent, Kortrijk, Leuven, Liege, Mons, Namur and Oostende).
The Urban Atlas is mainly based on the combination of (statistical) image classification and visual interpretation of Very High Resolution (VHR) satellite imagery. Multispectral SPOT 5 & 6 and Formosat-2 pan-sharpened imagery with a 2 to 2.5m spatial resolution is used as input data. The built-up classes are combined with density information on the level of sealed soil derived from the High Resolution Layer imperviousness to provide more detail in the density of the urban fabric. Finally, the Urban Atlas product is complemented and enriched with functional information (road network, services, utilities etc…) using ancillary data sources such as local city maps or online map services.
Belgian surface rainfall rate and accumulation estimation (QPE)
RADQPE provides high resolution radar-based quantitative precipitation estimation in realtime for Belgium and its surroundings. This product is not publically available yet.
The RADQPE product is obtained after a careful processing of the weather radar measurements and a merging with rain gauge measurements. The scientific basis can be found in Goudenhoofdt and Delobbe (2016). There is a continuous improvement process based on research and quality control. WEATHER RADAR MEASUREMENTS Radars emit electromagnetic pulses, typically with a length of 500m and a width of 1 degree. Part of the energy of this pulse is reflected back to the radar by precipitation. Radars performs scans at different elevations in about 5 minutes. Estimating rainfall from radar measurements is a challenge because of the many sources of error and uncertainty. RADQPE is based on the 3D reflectivity measurements of the following radars: - Avesnois, France, French National Meteorological Service - Helchteren, Belgium, Flanders Environment Agency - Jabbeke, Belgium, The Royal Meteorological Institute of Belgium - Neuheilenbach, Germany, German National Meteorological Service - Wideumont, Belgium, The Royal Meteorological Institute of Belgium These radars exhibit various technology, scanning strategy and data processing. They use Doppler capabilities to remove non-meteorological echoes with zero velocity (e.g. hills). Some processing can lead to loss of information and make further processing difficult. RAIN GAUGE MEASUREMENTS The following automatic rain gauge networks are used by RADQPE: - 91 weighted gauge OTT2, SPWMI, Belgium - 42 weighted gauge OTT2, VMM, Belgium - 19 weighted gauge OTT2, WL, Belgium The quality control by data providers is void (WL), limited (SPW) or unknown (VMM). No extra quality control is performed before writing the data in the RMIB database. QUALITY CONTROL OF THE RADAR MEASUREMENTS - Identification of permanently contaminated measurements (hills, wind farms, interference). - Correction for radar beam blockage by terrain - Identification of clutter (i.e. non-meteorological echoes or signals) based on satellite cloudiness products - Identification of clutter based on vertical profiles of radar reflectivity - Identification of clutter based on image texture - Identification of clutter based on dual-polarisation technology (only Helchteren and Jabekke) FROM RADAR MEASUREMENTS TO GROUND RAINFALL RATE ESTIMATION 1. Identification of convective precipitation 2. Extrapolation to ground of non convective precipitation using an averaged vertical profile of reflectivity 3. Interpolation of missing data (vertically then horizontally) 4. Conversion of reflectivity into rain rates based on precipitation type (hail, convective, stratiform) SINGLE RADAR ACCUMULATION AND BIAS CORRECTION 1. The movement of precipitation between 5-min snapshots is obtained using optical flow methods. It is used to accumulate rain rates over the past 1 hour and 24 hours. 2. The accumulations are adjusted by a mean field bias (MFB), which is computed based on the rain gauges measurements corresponding to the same duration 3. To remove radar calibration difference before compositing, the single radar rain rates are adjusted by the median of the 24h biases (computed at the previous step) for the past month. COMPOSITING, ACCUMULATION AND RADAR-GAUGE MERGING 1. For the months with dominant convective precipitation (May, June, July, August), the single radar rain rates are combined into a composite by taking the maximum value of the 3 closest radars. 2. For other months, the composite is based on all values weighted based on the distance to the radar. 3. Rainfall accumulation of the composite rain rates are made for the past 5 minutes, 10 minutes, 1 hour and 24 hours. 4. The 1h and 24h composite accumulations are adjusted by the MFB correction 5. The 1h bias correction of the previous step is applied to the composite rain rate. The correction is also applied to the 5 and 10-min composite accumulations
Volume reflectivity data - Wideumont weather radar
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.
Reflectivity data are collected at 15 elevation angles between 0.3 and 25 degrees. A Doppler filtering is applied. An electronic calibration is regularly performed and the quality of the data is monitored using comparison between radar-based precipitation estimates and rain gauge measurements.
View Service (WMS) 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
Royal Meteorological Institute of Belgium
FPS Finance - General Administration of Patrimonial Documentation (GAPD)