RADCLIM-Analogs: High-Resolution Gridded Hourly Median Precipitation dataset for Belgium (1940-2016) Using the Analogue Technique
We provide in this database median maps at 1 km resolution of the hourly accumulated precipitation over Belgium from 1940 to 2016. We used the analog technique to compute for every day in the past (1940 – 2016) the 25 best analogs selected from the high resolution RMI RADCLIM radar database that is available from 2017 to 2022. The analogs were determined based on ERA5 data from ECMWF. The median was computed based on this 25 analogs. Please read the LICENSE file for more information on the data licenses. Citation If you use this dataset for a publication, please cite the dataset article: Debrie, E., Demaeyer, J., and Vannitsem, S.: Hourly precipitation series over Belgium based on the Analogue Technique, Earth Syst. Sci. Data Discuss. [preprint], doi:, in review, 2025. The complete description of the method and performance is provided therein. Installation Download the dataset in a given folder, and in a terminal, and still in this folder, enter the following command: unzip RADCLIM-Analogs-median.zip This will unpack the dataset. You need at least 40Gb of free space on your disk to perform this operation. Usage The database is using Zarr format and is composed of two Zarr archives. One archive contains the database of the 25 best analogue days for each target day between 1940 and 2016. The second one contains all hourly median precipitation fields over Belgium from 1940 upon 2016. A notebook showing how to load and explore the dataset with the Python language is available here: https://github.com/ElkeDebrie/RADCLIM-Analogs. Note on the coordinate systems used in the dataset The original RADCLIM product was set on a grid with the Belgian Lambert 2008 used as projection. The product has a spatial resolution of 1 km with each estimate representing the averagedprecipitation on a square of size 1 km. The product covers an area from 0.3W to 9.7E in longitude and from 47.4N to 53.7N in latitude. The dataset coordinates x and y are the coordinates on the plane defined by the projection. For convenience, each data points latitude and longitude was also computed and provided in the dataset as latitude and longitude dataset coordinates. RADCLIM documentation The original RMI RADCLIM product documentation is available at https://opendata.meteo.be/cases/202107/radclim_userguide.pdf.
INSPIRE - Evaluation Préliminaire des Risques d'Inondation - Événements futurs basés sur le scénario d'inondation de période de retour extrême en Wallonie (BE)
Cette couche de données au format conforme INSPIRE reprend l'étendue des zones inondables potentielles selon un scénario de retour extrême. Cette donnée est issue de la donnée métier "Evaluation Préliminaire des Risques d'Inondation (EPRI) - Événements futurs basés sur le scénario d'inondation de période de retour extrême" (https://geoportail.wallonie.be/catalogue/5e81aa94-2495-493d-8c7a-6ad1c21501c01.html) et est diffusée dans le cadre de la directive INSPIRE. La Directive 2007/60/CE, dite Directive Inondation (DI), fixe les dispositions relatives à l'évaluation et à la gestion des risques d'inondation. Elle requiert que chaque Etat membre réalise une évaluation préliminaire des risques d’inondation (EPRI ou Preliminary Flood Risk Assessment - PFRA) au sein de son territoire. Cette évaluation préliminaire doit permettre d'identifier les zones à risque potentiel significatif d'inondation en Wallonie et, partant, d'établir des plans de gestion des risques d’inondation. L'EPRI se fonde entre autres sur l'évaluation des conséquences négatives potentielles d'inondations futures ainsi que les évolutions à long terme parmi lesquelles les incidences des changements climatiques sur la survenance des inondations (DI - Art. 4.2.d). Dès lors, l'étendue des zones inondables selon un scénario de débit de crue extrême (Qextreme = Q100+30%) et une période de retour très faible (50 à 100 ans) a été déterminée. L’utilisation du scénario extrême des zones inondables (Qextrême) intègre le changement climatique et est destiné à devenir à l’horizon 2071-2100, le scénario de période de retour 100 ans. La couche de données résultantes "PFRA - Futur Events" est polygonale. Les multi-polygones sont identifiés selon leur bassin versant des plans de gestion (ou sous-bassin hydrographique) d'appartenance. Il peut y avoir plusieurs polygones dans le même bassin versant des plans de gestion. Pour analyser les conséquences négatives potentielles des inondations futures, la couche de données "PFRA - Futur Events" a été croisée avec le Plan de secteur.
Area of Potential Significant Flood Risk
Preliminary flood risk assessment (Floods Directive)
Preliminary flood risk assessment - potential future events (Floods Directive)
évaluation des risques pour l'environnement
INSPIRE - Zones à risque naturel en Wallonie (BE) - Service de visualisation WMS
Ce service de visualisation WMS INSPIRE permet de consulter les couches de données du thème "Zones à risque naturel" au sein du territoire wallon (Belgique). Ce service de visualisation WMS est fourni par le Service public de Wallonie (SPW) et expose les couches de données géographiques constitutives du thème "Zones à risque naturel" de la Directive (Annexe 3.12) sur l'ensemble du territoire wallon. Ce service permet donc de visualiser les couches de données sélectionnées comme faisant partie du thème "Zones à risque naturel". Ces couches de données sont présentées "telles quelles", c'est-à-dire dans leur modèle de données initial, non conforme aux spécifications de données définies par la Directive. Les couches de données seront progressivement adaptées aux modèles de donnée commun INSPIRE suivant les spécifications du thème. Le service de visualisation est conforme aux spécifications de la Directive INSPIRE en la matière.
Zones à risque naturel en Wallonie (BE) - Service OGC API
Ce service permet de requêter et de télécharger les données du domaine HVD "Zones à risque naturel en Wallonie (BE)".
INSPIRE - Evaluation Préliminaire des Risques d'Inondation - Événements futurs basés sur le scénario d'inondation de période de retour extrême en Wallonie (BE) - ETRS89 / Belgian Lambert 2008
INSPIRE - Evaluation Préliminaire des Risques d'Inondation - Événements futurs basés sur le scénario d'inondation de période de retour extrême en Wallonie (BE) dans le système de coordonnées ETRS89 / Belgian Lambert 2008 (EPSG:3812)
Groupe Transversal Inondations (SPW - Groupe Transversal Inondations)
Maximising the impact of science on climate action in Belgium
The climate projections for Belgium are available as different data types: 1/ Daily climate model simulations and projections at a high spatial resolution of 0.025° or 2.8km for 3 Regional Climate Models (download service with NetCDF files): - ALARO-0 forced with the Global Climate Model ‘CNRM-CERFACS-CNRM-CM5’, calculated by RMIB-UGent; - COSMO-CLM5.0-TERRA-URB forced with the Global Climate model ‘ICHEC-EC-EARTH’, calculated by KULeuven; - COSMO-CLM5.0 forced with the Global Climate Model ‘MPI-M-MPI-ESM-LR’, calculated by UCLouvain. 2/ Climate indicators for a present (1975) and future (2085) target year under a mean and high impact scenario (view and download service with raster files). The climate indicators for Belgium were obtained by a statistical downscaling based on the high-resolution Belgian climate model projections, as well as on a large set of both Global Climate Model runs (CMIP5) and Regional Climate Model runs for Europe (EURO-CORDEX).
Termonia, P., Van Schaeybroeck, B., De Cruz, L., et al.. (2018). The CORDEX.be initiative as a foundation for climate services in Belgium. CLIMATE SERVICES, 11, 49-61. http://dx.doi.org/10.1016/j.cliser.2018.05.001
•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.
WRF-Chem simulations of CO2, CH4 and CO over Belgium and Western Europe
This data set contains the hourly WRF-Chem v4.1.5 model output over two nested domains centered around Belgium. The inner domain has a horizontal resolution of 3 x 3 km and covers Belgium and part of its neighbouring countries. The parent domain has a horizontal resolution of 9 x 9 km and covers a large part of Western Europe. The simulation period is from 1 June 2018 until 1 September 2018. The model output files are in NetCDF format and contain a wide range of meteorological variables as well as concentration fields for CO2, CH4 and CO split in different tracers depending on the source sector: background, anthropogenic, biogenic, ocean etc. The meteorological and chemical initial and lateral boundary conditions are taken from ECMWF ERA5 and CAMS reanalysis (egg4, eac4). Anthropogenic emissions are from EDGAR v7.0 for CO2 and CH4, while they are from EDGAR v6.1 for CO. Biomass buring emissions are from the Fire INventory from NCAR (FINN v2.5, Wiedinmyer at al. 2023)), CH4 wetlands emissions are from WetCHARTs (Bloom et al., 2017) and CO2 ocean exchange from Landschützer et al. (2019) (https://doi.org/10.25921/9hsn-xq82). Remark that there was an offset added to the uptake tracer fields: 50 ppm for CO2_BIO and CO2_OCE, and 1.8 ppm for CH4_BIO. This should be subtracted when processing the data. The corresponding namelist.input text file is also provided. These simulations have been made in the context of the BELSPO BRAIN 2.0 project “VERBE” (*Towards a greenhouse gas emission monitoring and VERification system for BElgium*, https://verbe.aeronomie.be/ , 2022-2026). Size: 7 GB per day
Royal Belgian Institute for Space Aeronomy
Wang, J., & Callewaert, S. (2025). WRF-Chem simulations of CO2, CH4 and CO over Belgium and Western Europe (Version 1) [Data set]. Royal Belgian Institute for Space Aeronomy. https://doi.org/10.18758/3WH7JTEJ
Overstromingsrisicokaart Sociale schadekaart - PLUVIAAL - toekomstig klimaat (met klimaatprojectie 2050) - grote kans
Deze kaart toont de sociale impact van een overstroming door intense neerslag met een kleine kans, middelgrote kans en grote kans bij toekomstig klimaat (met klimaatprojectie 2050). De sociale impact wordt berekend in functie van de sociale kwetsbaarheid en aantal getroffen personen uitgedrukt in een relatieve sociale impact score/m².
Flood risk zones high probability scenario (Floods Directive)
Water Information System for Europe (WISE)
Multi-year TROPOMI trace gas columns, created on the occasion of three years S-5P/TROPOMI
April 2021 marked the 3rd anniversary of the first public release of atmospheric measurements by the Sentinel 5 Precursor (S5P) TROPOMI instrument, launched in October 2017. BIRA-IASB has been strongly involved in the development of algorithms for the derivation of trace gas column products derived from TROPOMI measurements, as well as in validation activities, and quality monitoring of the TROPOMI data. On the occasion of three years of TROPOMI data, global data sets have been released for the main atmospheric molecules that BIRA-IASB has worked on. The data is available as L3 data in GeoTiff format, representing data averaged over a period from 2.5 to just over 3 years, depending on the molecule. The data can be consulted as global maps through the links provided further down on this page. There are 6 molecules for which data is available: * Formaldehyde (HCHO) is an intermediate product of the chemical oxidation of a wide range of volatile hydrocarbon molecules, which play an important role in the formation of tropospheric ozone and aerosols. Although these hydrocarbons cannot generally be detected from space, the formaldehyde content can be mapped globally. The Sentinel-5P/TROPOMI instrument provides formaldehyde maps with unprecedented sensitivity and spatial resolution. This leads to a better understanding of hydrocarbon emissions and their role in air quality and climate-related processes. * Atmospheric glyoxal (CHOCHO) is a hydrocarbon gas that can be traced back to a wide range of both natural and anthropogenic sources. Although it can be injected directly into the atmosphere in case of fire events, it is usually found as an intermediate component in chemical oxidation chains of other hydrocarbons, many of which are relevant to air quality and climate studies. With a relatively short lifetime of several hours, glyoxal is found close to hydrocarbon sources and its global monitoring from space helps constraining the source inventories used in atmospheric chemistry transport models. * Sulphur dioxide (SO2) is emitted in the atmosphere through both natural and anthropogenic processes. Human activity accounts for about twothirds of the total budget, mainly via fossil fuel combustion and smelting. Through the formation of sulphate aerosols and sulphuric acid, sulphur dioxide plays an important role in the chemistry at local and global scales and its impact ranges from short-term pollution to climate forcing. This map shows the average SO2 signal from three years of Sentinel-5P/TROPOMI satellite measurements, showing a large number of pollution and volcanic sources. * Atmospheric nitrogen dioxide (NO2) is a pollutant gas that originates from both natural sources and human activity, the latter accounting for about 65% of the total amount. This map shows total vertical column amounts of nitrogen dioxide, as detected by the Sentinel-5P/TROPOMI instrument, launched in 2017. The NO2 signal was here averaged over a three-year period, revealing a large range of pollution sources from major urban areas down to smaller cities and individual industrial plants. * Carbon monoxide (CO) has both natural and anthropogenic sources, with is known to contribute to pollution in urban areas through fossil fuel combustion. In natural environments, oxidation with hydrocarbons or biomass-burning are the most relevant sources. Carbon monoxide has a relatively long lifetime (weeks to months), which allows for CO clouds to be followed over long distances. This explains the more diffuse CO distribution over the oceans in this global carbon dioxide map, that is an average over all S-5P/TROPOMI measurements between end 2017 and end 2020. * After carbon dioxide (CO2), methane (CH4) is the second most important greenhouse gas. Although the atmospheric content is less, methane is about 25 times more effective in warming the atmosphere than carbon dioxide, and knowledge on its atmospheric sources and sinks are therefore of the utmost importance in climate studies. This global map shows the average methane content of 3 years of S-5P/TROPOMI data.
van Gent, J., Danckaert, T., Theys, N., De Smedt, I., Lerot, C., Langerock, B., & Sha, M. K. (2024). Multi-year TROPOMI trace gas columns, created on the occasion of three years S-5P/TROPOMI (Version 1.0) [Data set]. Royal Belgian Institute for Space Aeronomy. https://doi.org/10.18758/UZULLS25
Dataset of the CO/CO2 ratio retrieved from solar occultation by TGO/NOMAD, presented in Yoshida et al., 2022
The CO/CO2 ratio in MY 35 retrieved from solar occultation observations by Nadir and Occultation for Mars Discovery (NOMAD) onboard the ExoMars Trace Gas Orbiter (TGO), presented in Yoshida et al., 2022. The dataset contains the CO/CO2 ratio at tangential altitude retrieved from the Solar Occultation channel of NOMAD. The dataset is separated into one text file per solar occultation. Version 2 corrects an error in the latitude/longitude/Ls/local time values in the header of each file; plus some files in version 1 did not contain any data, so these have been removed from version 2.
Thomas, I., Willame, Y., & Trompet, L. (2025). Calibrated PDS4 Data from NOMAD on the ExoMars Trace Gas Orbiter (Version 1) [Data set]. Royal Belgian Institute for Space Aeronomy. https://doi.org/10.18758/9F0PCA5R
Yoshida, N., Vandaele, A. C., & Thomas, I. (2022). Dataset of the CO/CO2 ratio retrieved from solar occultation by TGO/NOMAD, presented in Yoshida et al., 2022 (Version 1) [Data set]. Royal Belgian Institute for Space Aeronomy. https://doi.org/10.18758/71021076
My related publication are you displayed or not (2022)
Climate change in Belgium: recent and future evolution of global radiation and hydroclimatic conditions favouring floods using the regional climate model MAR
In Belgium, the future response of the climate to increasing greenhouse gas concentration is not clear, especially with regard to the perturbations of the precipitation regime, snow cover, and global radiation. On the one hand, existing studies show results which differ strongly either according to the future scenario, or from one model to another. On the other hand, there is even an absence of studies focussing on Belgium regarding future changes in snow cover and global radiation. Given their potential impacts on the society (water management, energy supply, biodiversity, tourism), future changes in precipitation, snow cover, and global radiation require further research. As the orography, the exposition to the dominant winds, and the proximity of the North Sea determine a large spatial variability in the Belgian climate, the latter requires a fine representation of these features to be properly simulated. Compared to global climate models (GCM), regional climate models (RCM) are recognized for their ability to represent climatic phenomena with higher spatial resolutions. In the framework of this doctoral thesis, the RCM MAR (for "Modèle Atmosphérique Régional" in French), which is developed at the Laboratory of Climatology and Topoclimatology of the University of Liège, was applied for the first time to Belgium. The aim was first to assess the performances of MAR over Belgium and then to study the current and future evolution of hydroclimatic conditions favouring floods, and also the current and future evolution of global radiation. For this purpose, historical simulations were performed over 1959-2014. Future projections (2006-2100) were then performed under the most pessimist IPCC future scenario (RCP8.5). The horizontal resolution used for both historical and future simulations is 5 km. By comparing the MAR outputs to ground-based measurements from 20 weather stations over 2008-2014, the results show that MAR successfully simulates the spatial and temporal variability of the Belgian climate. In fact, the biases found in the MAR results are non-significant and the correlation coefficients are satisfying with regard to temperature, precipitation, snow height, global radiation and cloudiness. The MAR results are particularly satisfying during the winter months and in High Belgium where the climate is the coldest. Regarding hydroclimatic conditions favouring floods, we focused on the Ourthe catchment. In this river, about 70 % of floods occur during the winter months and result from either the rapid melting of the snow pack covering the Ardennes eventually combined with rainfall or abundant rainfall alone. The current evolution of hydroclimatic conditions favouring floods was first assessed for the period 1959-2010. Conditions favouring floods in the Ourthe River present a negative trend over 1959–2010 as a result of a decrease in snow accumulation and a shortening of the snow season. Regarding the impact of the evolution of extreme precipitation events on hydroclimatic conditions favouring floods, the signal is less clear because the trends depend on the data used to force the MAR model. By the end of the 21st century, under the most pessimist scenario, the results show an acceleration of the snow cover depletion resulting in a decrease in conditions favouring floods. Further, the impact of the evolution of extreme precipitation events on hydroclimatic conditions favouring floods, no significant change was found although these trends are subject to uncertainties due to the deficiencies of the convective scheme of MAR. Regarding global radiation, its current evolution was first assessed for the period 1959-2010. In addition, we consider two distinct periods in our analysis: 1959-1979 (dimming) and 1980-2010 (brightening). For both the dimming and the brightening periods, our results show that the annual global radiation trends are mainly driven by global radiation changes in spring and summer. The increase in global radiation observed in Belgium since the 1980s and especially since the 2000s could mainly be explained by a decrease in low and medium cloud cover. This would strengthen the effect of the decrease in aerosol load on global radiation that has been observed in Europe since the 1980s. The origin of these changes in cloudiness is not clear and could result from changes in both aerosol-cloud interactions and atmospheric-circulation, such as more frequent tropical air advections and more frequent anticyclonic conditions over Western Europe due to the poleward shift of extratropical storm tracks. These changes in the atmospheric circulation may result from global warming and may persist in the future. In fact, by the end of the 21st century, under the most pessimist scenario, the models simulate an increase in the blocking regime frequency in summer over Europe. For Belgium, this implies more frequent anticyclonic conditions favouring cloudless conditions. The future projections performed with MAR exhibit significant decreasing total cloud cover, and particularly decreasing low and medium cloud cover. However, this declining cloud cover leads to contrasting changes in global radiation depending on the data used to force MAR.
Data viewer on Total greenhouse gas emissions and removals of the EU, based on data reported by EU Member States under the EU Governance Regulation. Users can select 'Belgium" in Filters (top bar) > Geographic entry
Overstromingsrisicokaart Lijninfrastructuren - KUST - huidig klimaat
Deze kaart toont de wegen, spoorwegen en buslijnen die een grote rol spelen in de beweging van mensen en goederen naar, in en door het gebied dat potentieel getroffen wordt door een overstroming vanuit de zee bij huidig klimaat.
Flood risk zones low probability scenario (Floods Directive)
In het kader van de Energie Efficiëntie Richtlijn en de Hernieuwbare Energie Richtlijn dienden de EU-lidstaten tegen einde juni 2024 nationale cijfers en plannen te rapporteren rond warmte en koude. Dit past in de strategie van de Europese energie unie om tegen 2050 koolstofneutraliteit te bereik. De voornaamste producten zijn kaarten voor het grondgebied Vlaanderen met de warmtevraag op niveau van de gemeenten en de statistische sectoren, kaarten van de bestaande en geplande warmtenetten en tenslotte ook locaties van potentiële leveringspunten van warmte. De studie werd uitgevoerd door het Vlaams Energie- en Klimaatagentschap. Het bijhorende rapport kan u hier raadplegen: https://www.vlaanderen.be/bouwen-wonen-en-energie/groene-energie/warmtekaart.
O’Leary Simpson, F., Titeca, K., Pellegrini, L., Muller, T., & Muliri Dubois, M. (2025). Indigenous forest destroyers or guardians? The indigenous Batwa and their ancestral forests in Kahuzi-Biega National Park, DRC. World Development, 186, Article 106818. https://doi.org/10.1016/j.worlddev.2024.106818
Combined Effect of Changing Hydroclimate and Human Activity on Coastal Ecosystem Health (AMOREIII)
AMORE III addresses the dual control of changing human activity and climate on eutrophication in the Belgian coastal zone and the feedback effect on goods (newly-deployed offshore mussel farming) and services (atmospheric CO2 absorption). AMORE III has among others assessed the geographical spreading and the magnitude of Phaeocystis blooms in the EEZ, the impact of Phaeocystis colony spreading on offshore mussel farming. It combined field observations, laboratory-controlled experiments, and mathematical modelling in an iterative way.
Europe's environment 2025 - Country profile Belgium
The Belgium country profile provides a concise overview of key trends across three dimensions: environment and climate; socio-economic change; and system change (energy, mobility and food) in the country. It highlights the main developments and challenges in these areas, including measures to support progress towards sustainability in Belgium. An assessment for each of the three dimensions was prepared by national experts from the European Environment Information and Observation Network (Eionet) in Belgium, based on 20 established indicators from the EEA or Eurostat.
Belgium greenhouse gas inventory 1990-2023
Belgium greenhouse gas inventory: all quantitative data for all categories of emission sources by sector and sub-sector between 1990 and 2023
Jerrentrup, A., Mueller, T., Glowalla, U., Herder, M., Henrichs, N., Neubauer, A., & Schaefer, J. R. (2018). Teaching medicine with the help of “Dr. House.” PLoS ONE, 13(3), Article e0193972. https://doi.org/10.1371/journal.pone.0193972
Lipscomb, A. Y. (2021, Winter). Addressing trauma in the college essay writing process. The Journal of College Admission, (249), 30–33. https://www.catholiccollegesonline.org/pdf/national_ccaa_in_the_news_-_nacac_journal_of_college_admission_winter_2021.pdf
De geodatalaag ‘stadsgroen’ bevat alle clusters van publiek toegankelijke groene ruimte met een minimale oppervlakte van 60ha. Deze geodatalaag werd bekomen door het selectie van alle ‘groengebieden’ op basis van de landgebruikskaart (toestand 2019). Deze groengebieden werden algoritmisch geclusterd op basis van aaneengeslotenheid, waarbij ook fysieke barrières in rekening werden gebracht. Vervolgens werden enkel die groengebieden behouden die grenzen aan een te voet toegankelijke openbare weg. Op basis hiervan werden vijf rasterlagen (resolutie 10x10m²) opgemaakt waarbij clusters werden geselecteerd per functieniveau op basis van een minimale oppervlakte: buurtgroen (>0,2ha); wijkgroen (>10ha); stadsdeelgroen (>30ha); stadsgroen (>60ha); stadsbos (>200ha). De geselecteerde clusters met een hoger functieniveau zijn dus steeds een deelverzameling van de geselecteerde clusters van een lager functieniveau. Opgelet, door de toegepaste methode bestaat het groentype ‘stadsbos’ niet enkel uit bos, maar uit verschillende types groene ruimte. Meer informatie is terug te vinden in dit achtergronddocument: https://archief.onderzoek.omgeving.vlaanderen.be/Onderzoek-2952295 De aanwezigheid van groen heeft een positief effect op een heel aantal verschillende aspecten die een kwalitatieve leefomgeving bepalen. Het gaat hierbij o.a. om een positief effect op de fysieke, mentale en sociale gezondheid, maar ook om biodiversiteit, klimaatbestendigheid, landschappelijke kwaliteit,… Een gangbaar Vlaams referentiekader (geïntroduceerd in MIRA-S 2000) om de beschikbaarheid van groene ruimte te beoordelen stelt dat elke inwoner toegang zou moeten hebben tot buurtgroen op maximaal 400m, wijkgroen op maximaal 800m, stadsdeelgroen op maximaal 1600m, stadsgroen op maximaal 3200m en stadsbos op maximaal 5000m. Deze datalaag laat toe het aantal inwoners te berekenen in een bepaald gebied dat toegang heeft tot stadsgroen rekening houdend met eerder vermelde maximale afstand.
Kaarten van fAPAR (Fractie van fotosynthetisch actieve geabsorbeerde straling) en NPP voor het Belgisch grondgebied.
VLAAMSE INSTELLING VOOR TECHNOLOGISCH ONDERZOEK
Duration, frequency, and intensity of heatwaves based on the daily maximum temperatures recorded in Uccle since 1901.
Goal 13 Take urgent action to combat climate change and its impacts* * Acknowledging that the United Nations Framework Convention on Climate Change is the primary international, intergovernmental forum for negotiating the global response to climate change.
Download service - Climate model simulations and projections
Annual, seasonal and monthly precipitation amounts given in respectively mm/year, mm/3 months and mm/month. The precipitation amounts are available for the present target year 1975, which corresponds to the middle of the 30-year period 1961-1990.
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). Technical specifications of the product: https://ac.ngi.be/remoteclient-open/GeoBePartners-open/BelgianClimateCentre/UserGuide/User_guide_climate_indicators_geobe.pdf
Dataset in Yoshida 2022 INCORRECT HEADERS
One compressed file containing 649 txt files
Key trends and assessments for system change
This is the updated dataset from Yoshida et al. 2022, which corrects an error in the latitude/longitude/Ls/local time values in the header of each file. Also some files did not contain any data; these have been removed from this version.
View service - Climate indicators for Belgium
WMS visualization link to read data e.g., in a GIS system or a webmap
The layers button, on the left side, offers selection of the molecule
WCS-getCoverage Stadsgroen - toestand 2019 (De accessURL verwijst naar een gelimiteerde set van data, volgens de INSPIRE afspraken)
Summer and winter mean global solar radiation given in kWh/m²/day. The global solar radiations fields are available for the present target year 1975, which corresponds to the middle of the 30-year period 1961-1990.
Annual, summer and winter mean potential evapotranspiration given in respectively mm/year and mm/3 months and based on the Penman-Monteith definition. The potential evapotranspiration fields are available for the present target year 1975, which corresponds to the middle of the 30-year period 1961-1990.
Link to download page of WRF-Chem output data. After selecting a year, daily model data can be downloaded by clicking on a specific date. A daily zip file consists of 48 NetCDF files: wrfout_d0x_yyyymmddThh0000.nc (one for each hour and model domain (d01, d02)).
Downloadlink in geopackage formaat voor de dataset: Warmtekaart 2024: geopackage met alle lagen van de Warmtekaart 2024 (versie 12/06/2025)
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).
Key trends and assessments for environment and climate -
Summer mean global solar radiation given in kWh/m²/day. The global solar radiations fields are available for the present target year 1975, which corresponds to the middle of the 30-year period 1961-1990.
Text file that is used by the model code to configure WRF-Chem.
Methodology used for the Belgium’s greenhouse gas inventory (1990-2023): National Inventory Document Submitted under the United Nations Framework Convention on Climate Change
The Royal Meteorological Institute (KMI-IRM) defines a heatwave as a period during which the daily maximum temperature is at least 25.0°C for five or more consecutive days, with at least three of those days reaching a maximum of 30.0°C or higher.
Annual, seasonal and monthly precipitation amounts given in respectively mm/year, mm/3 months and mm/month. The precipitation amounts 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 to respectively the 50th, and 5th or 95th percentiles of the change factors.
WMS-getmap Stadsgroen - toestand 2019 (De accessURL verwijst naar een gelimiteerde set van data, volgens de INSPIRE afspraken)
This file contains all detailed quantitative data for all categories of emission sources by sector and sub-sector between 1990 and 2023. Previous versions are all available here: https://cdr.eionet.europa.eu/be/eu/govreg/inventory/envz91a2q/index_html?&page=2
A WMS link need only a visualisator tool to be more than friendly
Annual, summer and winter mean potential evapotranspiration given in respectively mm/year and mm/3 months and based on the Penman-Monteith definition. The potential evapotranspiration fields 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.
VITO - VLAAMSE INSTELLING VOOR TECHNOLOGISCH ONDERZOEK
Key trends and assessments for socio-economic change
Summer and winter mean global solar radiation given in kWh/m²/day. The global solar radiations fields 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.
Winter mean global solar radiation given in kWh/m²/day. The global solar radiations fields are available for the present target year 1975, which corresponds to the middle of the 30-year period 1961-1990.
User guide for daily climate model simulations and projections for Belgium
User guide for daily climate model simulations and projections for Belgium (download service with NetCDF files)
Royal Meteorological Institute of Belgium
View and download service of climate indicators for present and future target years under a mean and high impact scenario for Belgium This user guide applies to the following datasets on www.geo.be: 1) View service – Climate indicators for Belgium (gridded maps for Belgium) [https://www.geo.be/catalog/details/bef48fa1-ca7f-11ee-916d-847b573ec00f?l=en] 2) Key indicators on future Belgian climate [https://www.geo.be/catalog/details/f764a1c0-d49f-11ee-9c6a-3448ed07889e?l=en]