4c151b83-242a-11f0-9427-ac91a1330236 Koninklijk Nederlands Meteorologisch Instituut (KNMI) Koninklijk Nederlands Meteorologisch Instituut (KNMI) Koninklijk Nederlands Meteorologisch Instituut (KNMI) opendata@knmi.nl opendata@knmi.nl 2026-08-12T14:10:02.88118Z ISO 19115 ISO 19115:2003 NL Kernset 1.3 KNMI 2.1.0 http://www.opengis.net/def/crs/EPSG/0/4326 http://www.opengis.net/def/crs/EPSG/0/4326 Hourly, validated and automated in-situ ground-based meteorological observations in the Netherlands Hourly, validated and automated in-situ ground-based meteorological observations in the Netherlands Uurlijks, gevalideerde en geautomatiseerde in-situ grondgebaseerde meteorologische waarnemingen in Nederland 2025-09-19 1 urn:xkdc:ds:nl.knmi::hourly-in-situ-meteorological-observations-validated/1.0/ KNMI collects in-situ meteorological surface observations from automatic weather stations situated in the Netherlands, including the Caribbean Netherlands (BES islands). The network consists of sea and land-based locations, including wind poles and sites at airports. The weather stations report every 10 minutes essential climate variables (ECVs), surface precipitation, pressure, global radiation, temperature, wind speed and direction, clouds, and visibility. Variables such as sunshine duration are calculated from the ECVs. When applicable, minima, maxima, means, and sums are defined or calculated. These measurements are aggregated into hourly, daily, monthly, and annual datasets. Additional variables such as water vapor and potential evotranspiration are calculated. These data are derived from the 10-minute automatic measurements since the early 1990s, hourly observations from 1951, and daily observations from 1901. The earliest data starts in 1901 with one station and gradually increases to the current measurement network of more than 50 automatic weather stations. This dataset contains meteorological observations since 1951-01-01 at an hourly interval. The data has undergone manual validation by KNMI experts, filling gaps and correcting measurement errors, after which it becomes available. The expert validation can take 1-10 working days to complete. Validated data can be modified at any moment in the future if further issues are found with the data. KNMI collects in-situ meteorological surface observations from automatic weather stations situated in the Netherlands, including the Caribbean Netherlands (BES islands). The network consists of sea and land-based locations, including wind poles and sites at airports. The weather stations report every 10 minutes essential climate variables (ECVs), surface precipitation, pressure, global radiation, temperature, wind speed and direction, clouds, and visibility. Variables such as sunshine duration are calculated from the ECVs. When applicable, minima, maxima, means, and sums are defined or calculated. These measurements are aggregated into hourly, daily, monthly, and annual datasets. Additional variables such as water vapor and potential evotranspiration are calculated. These data are derived from the 10-minute automatic measurements since the early 1990s, hourly observations from 1951, and daily observations from 1901. The earliest data starts in 1901 with one station and gradually increases to the current measurement network of more than 50 automatic weather stations. This dataset contains meteorological observations since 1951-01-01 at an hourly interval. The data has undergone manual validation by KNMI experts, filling gaps and correcting measurement errors, after which it becomes available. The expert validation can take 1-10 working days to complete. Validated data can be modified at any moment in the future if further issues are found with the data. Het KNMI verzamelt meteorologische oppervlaktewaarnemingen ter plaatse via automatische weerstations in Nederland, inclusief Caribisch Nederland (BES-eilanden). Het netwerk bestaat uit locaties op zee en op het land, waaronder windmasten en locaties op luchthavens. De weerstations rapporteren elke 10 minuten essentiële klimaatvariabelen (ECV’s), neerslag aan het aardoppervlak, luchtdruk, globale straling, temperatuur, windsnelheid en -richting, bewolking en zicht. Variabelen zoals de zonneschijnduur worden berekend op basis van de ECV’s. Waar van toepassing worden minima, maxima, gemiddelden en sommen vastgesteld of berekend. Deze metingen worden samengevoegd tot uur-, dag-, maand- en jaardatasets. Daarnaast worden aanvullende variabelen zoals waterdamp en potentiële evapotranspiratie berekend. Deze gegevens zijn afgeleid van de automatische metingen met een interval van 10 minuten sinds het begin van de jaren negentig, van uurwaarnemingen vanaf 1951 en van dagelijkse waarnemingen vanaf 1901. De vroegste gegevens dateren uit 1901 en zijn afkomstig van één station; het meetnetwerk is geleidelijk uitgebreid tot het huidige netwerk van meer dan 50 automatische weerstations. Deze dataset bevat meteorologische waarnemingen vanaf 1 januari 1951 op een uurlijkse resolutie. De gegevens zijn handmatig gevalideerd door KNMI-experts, waarbij ontbrekende data is aangevuld en meetfouten zijn gecorrigeerd. De validatie duurt doorgaans 1-10 werkdagen. Gevalideerde gegevens kunnen later opnieuw worden aangepast als er nieuwe problemen worden gevonden. Koninklijk Nederlands Meteorologisch Instituut (KNMI) Koninklijk Nederlands Meteorologisch Instituut (KNMI) Koninklijk Nederlands Meteorologisch Instituut (KNMI) opendata@knmi.nl opendata@knmi.nl Temperature Temperature Temperatuur Pressure Pressure Luchtdruk Wind speed Wind speed Windsnelheid Wind direction Wind direction Windrichting Relative humidity Relative humidity Relatieve vochtigheid Wind gust Wind gust Windstoten Visibility Visibility Zicht Precipitation Precipitation Neerslag Radiation Radiation Straling Sunshine Sunshine Zonneschijn Weather code Weather code Weercode Precipitation rate Precipitation rate Neerslagintensiteit Precipitation duration Precipitation duration Neerslagduur Maximum temperature Maximum temperature Maximumtemperatuur Minimum temperature Minimum temperature Minimumtemperatuur Dewpoint temperature Dewpoint temperature Dauwpunttemperatuur Air temperature Air temperature Luchttemperatuur Meteorological Meteorological Meteorologisch Automatic weather stations Automatic weather stations Automatische weer stations Observations Observations Waarnemingen DG Discovery Properties Vocabulary 1.0 DG Discovery Properties Vocabulary 1.0 2013-01-01 Dynamic Dynamic Dynamisch Open data Open data Open data Meteorological geographical features Meteorological geographical features Meteorologische geografische kenmerken Atmospheric conditions Atmospheric conditions Atmosferische omstandigheden GEMET - INSPIRE themes, version 1.0 GEMET - INSPIRE themes, version 1.0 2008-06-01 HVD HVD Meteorology Meteorology Climate data: validated observations Climate data: validated observations High-value dataset categories High-value dataset categories 2023-09-27 Because of station relocations and changes in observation techniques, the data in these datasets are inhomogeneous. As a result, these series are not suitable for trend analysis. Because of station relocations and changes in observation techniques, the data in these datasets are inhomogeneous. As a result, these series are not suitable for trend analysis. Door verplaatsingen van stations en veranderingen in meettechnieken zijn de gegevens in deze datasets niet homogeen. Hierdoor zijn deze reeksen niet geschikt voor trendanalyses. https://creativecommons.org/licenses/by/4.0/deed.nl https://creativecommons.org/licenses/by/4.0/deed.nl climatologyMeteorologyAtmosphere -68.5 7.4 12 55.7 1951-01-01 9999-12-31 For more information about this dataset, please read the [technical documentation](https://english.knmidata.nl/open-data/hourly-daily-monthly-and-annual-in-situ-meteorological-observations). The following related datasets are available: * [Near real-time 10-minute automated in-situ ground-based meteorological observations in the Netherlands](https://dataplatform.knmi.nl/dataset/10-minute-in-situ-meteorological-observations-1-0) * [Daily, validated and automated in-situ ground-based meteorological observations in the Netherlands](https://dataplatform.knmi.nl/dataset/daily-in-situ-meteorological-observations-validated-1-0) * [Hourly and automated in-situ ground-based meteorological observations in the Netherlands](https://dataplatform.knmi.nl/dataset/hourly-in-situ-meteorological-observations-1-0) * [Daily and automated in-situ ground-based meteorological observations in the Netherlands](https://dataplatform.knmi.nl/dataset/daily-in-situ-meteorological-observations-1-0) For more information about the relation between these datasets, see also the [technical documentation](https://english.knmidata.nl/open-data/hourly-daily-monthly-and-annual-in-situ-meteorological-observations) For more information about this dataset, please read the [technical documentation](https://english.knmidata.nl/open-data/hourly-daily-monthly-and-annual-in-situ-meteorological-observations). The following related datasets are available: * [Near real-time 10-minute automated in-situ ground-based meteorological observations in the Netherlands](https://dataplatform.knmi.nl/dataset/10-minute-in-situ-meteorological-observations-1-0) * [Daily, validated and automated in-situ ground-based meteorological observations in the Netherlands](https://dataplatform.knmi.nl/dataset/daily-in-situ-meteorological-observations-validated-1-0) * [Hourly and automated in-situ ground-based meteorological observations in the Netherlands](https://dataplatform.knmi.nl/dataset/hourly-in-situ-meteorological-observations-1-0) * [Daily and automated in-situ ground-based meteorological observations in the Netherlands](https://dataplatform.knmi.nl/dataset/daily-in-situ-meteorological-observations-1-0) For more information about the relation between these datasets, see also the [technical documentation](https://english.knmidata.nl/open-data/hourly-daily-monthly-and-annual-in-situ-meteorological-observations) Voor meer informatie over deze dataset is er de [technische documentatie](https://knmidata.nl/open-data/uurlijkse-dagelijkse-maandelijkse-jaarlijkse-in-situ-meteorologische-waarnemingens). De volgende gerelateerde datasets zijn beschikbaar: * [Near real-time 10-minute automated in-situ ground-based meteorological observations in the Netherlands](https://dataplatform.knmi.nl/dataset/10-minute-in-situ-meteorological-observations-1-0) * [Daily, validated and automated in-situ ground-based meteorological observations in the Netherlands](https://dataplatform.knmi.nl/dataset/daily-in-situ-meteorological-observations-validated-1-0) * [Hourly and automated in-situ ground-based meteorological observations in the Netherlands](https://dataplatform.knmi.nl/dataset/hourly-in-situ-meteorological-observations-1-0) * [Daily and automated in-situ ground-based meteorological observations in the Netherlands](https://dataplatform.knmi.nl/dataset/daily-in-situ-meteorological-observations-1-0) Voor meer information over de relatie tussen datasets, zie ook de [technische documentatie](https://knmidata.nl/open-data/uurlijkse-dagelijkse-maandelijkse-jaarlijkse-in-situ-meteorologische-waarnemingens). NetCDF NetCDF 4 Koninklijk Nederlands Meteorologisch Instituut (KNMI) Koninklijk Nederlands Meteorologisch Instituut (KNMI) Koninklijk Nederlands Meteorologisch Instituut (KNMI) opendata@knmi.nl opendata@knmi.nl 1 https://dataplatform.knmi.nl/catalog/datasets/index.html?x-dataset=hourly-in-situ-meteorological-observations-validated&x-dataset-version=1.0 landingpage KNMI Data Platform KNMI Data Platform Data completeness depends on the period and variable, for more information refer to the technical documentation. Data completeness depends on the period and variable, for more information refer to the technical documentation. De volledigheid van de data hangt af van de periode en de variabele, voor meer informatie raadpleeg de technische documentatie. KNMI Robuust Klimatologisch Informatie Systeem (RobuKIS) KNMI Robuust Klimatologisch Informatie Systeem (RobuKIS) KNMI Robuust Klimatologisch Informatie Systeem (RobuKIS)