b556ed60-414b-490f-a3fe-1ca0307aa750 Koninklijk Nederlands Meteorologisch Instituut (KNMI) Koninklijk Nederlands Meteorologisch Instituut (KNMI) Koninklijk Nederlands Meteorologisch Instituut (KNMI) opendata@knmi.nl opendata@knmi.nl 2026-04-30T07:42:24.195786Z ISO 19115 ISO 19115:2003 NL Kernset 1.3 KNMI 1.1 http://www.opengis.net/def/crs/EPSG/0/28992 http://www.opengis.net/def/crs/EPSG/0/28992 Precipitation - daily unvalidated precipitation sum in near real time Precipitation - daily unvalidated precipitation sum in near real time Neerslag - dagelijkse ongevalideerde neerslagsom in near real time 2018-04-19 4 urn:xkdc:ds:nl.knmi::Rd1nrt/2/ -PROVISONALLY UNVALIDATED DATA- Gridded files of daily unvalidated precipitation sum in the Netherlands measured on 100-300 locations of the voluntary network from 08:00-08:00 UT. Grids are calculated based on unvalidated data (limited number of stations) as soon as the data is available, typically around 14:00. The data has only been automatically pre-validated. The complete validated dataset is Rd1. Version 2 is based on RobuKIS source data. -PROVISONALLY UNVALIDATED DATA- Gridded files of daily unvalidated precipitation sum in the Netherlands measured on 100-300 locations of the voluntary network from 08:00-08:00 UT. Grids are calculated based on unvalidated data (limited number of stations) as soon as the data is available, typically around 14:00. The data has only been automatically pre-validated. The complete validated dataset is Rd1. Version 2 is based on RobuKIS source data. -VOORLOPIGE ONGEVALIDEERDE DATA- Grid bestanden van de dagelijkse ongevalideerde neerslagsom in Nederland. Gebaseerd op + 100-300 observaties van het vrijwilligersnetwerk. Het tijdsinterval is 08:00-08:00 UT. Grids worden berekend op basis van ongevalideerde data (beperkt aantal stations) zodra de gegevens binnen zijn, meestal rond 14:00. Op de gegevens is alleen automatische pre-validatie toegepast. De complete gevalideerde data is te vinden in dataset Rd1. Versie 2 is gebaseerd op Robukis brondata. LCW / Netherlands Hydrological modelling Instrument (NHI) LCW / Netherlands Hydrological modelling Instrument (NHI) Landelijke Coordinatiecommissie Waterbeheersing (LCW )/ Nederlands Hydrologisch Instrument (NHI) Koninklijk Nederlands Meteorologisch Instituut (KNMI) Koninklijk Nederlands Meteorologisch Instituut (KNMI) Koninklijk Nederlands Meteorologisch Instituut (KNMI) opendata@knmi.nl opendata@knmi.nl Climate Climate Klimaat Precipitation Precipitation Neerslag Rain Rain Regen Rainfall Rainfall Regenval DG Discovery Properties Vocabulary 1.0 DG Discovery Properties Vocabulary 1.0 2013-01-01 Open data Open data Open data Core dataset Core dataset Kerndataset PROVISIONALLY UNVALIDATED DATA - use dataset Rd1 for validated data PROVISIONALLY UNVALIDATED DATA - use dataset Rd1 for validated data VOORLOPIGE ONGEVALIDEERDE DATA - Gebruik dataset Rd1 voor gevalideerde data https://creativecommons.org/licenses/by/4.0/deed.nl https://creativecommons.org/licenses/by/4.0/deed.nl 1000 climatologyMeteorologyAtmosphere 3.2 7.4 50.6 53.7 2018-01-01 9999-12-31 https://cdn.knmi.nl/knmi/pdf/bibliotheek/knmipubIR/IR2010-01.pdf https://cdn.knmi.nl/knmi/pdf/bibliotheek/knmipubIR/IR2010-01.pdf https://cdn.knmi.nl/knmi/pdf/bibliotheek/knmipubIR/IR2010-01.pdf NetCDF NetCDF 4 CF Koninklijk Nederlands Meteorologisch Instituut (KNMI) Koninklijk Nederlands Meteorologisch Instituut (KNMI) Koninklijk Nederlands Meteorologisch Instituut (KNMI) opendata@knmi.nl opendata@knmi.nl 0.5 https://dataplatform.knmi.nl/catalog/datasets/index.html?x-dataset=Rd1nrt&x-dataset-version=2 landingpage KNMI Data Platform KNMI Data Platform The interpolation method is ordinary kriging. Observations are square root transformed and back-transformed after interpolation using quantiles calculation. For every day a variogram is automatically fitted. The nugget is zero and the variogrammodel is spherical or exponential, depending on the best fit. The dates in the file name refer to the end-time and start-time of the measurement. The measurement at 08:00 UT (end-time) is assigned to the file in the folder of the preceding day on the FTP server as 2/3 of the measurement period falls on the preceding day. In other words: the measurement with the end-time 19810102T080000 is assigned to the folder 1981/01/01 on the FTP server or in the tar-file. The number of observations varies from 100 to 310. Therefore the dataset may be less accurate than the validated dataset (Rd1). The interpolation method is ordinary kriging. Observations are square root transformed and back-transformed after interpolation using quantiles calculation. For every day a variogram is automatically fitted. The nugget is zero and the variogrammodel is spherical or exponential, depending on the best fit. The dates in the file name refer to the end-time and start-time of the measurement. The measurement at 08:00 UT (end-time) is assigned to the file in the folder of the preceding day on the FTP server as 2/3 of the measurement period falls on the preceding day. In other words: the measurement with the end-time 19810102T080000 is assigned to the folder 1981/01/01 on the FTP server or in the tar-file. The number of observations varies from 100 to 310. Therefore the dataset may be less accurate than the validated dataset (Rd1). De interpolatiemethode is ordinary kriging. De metingen worden eerst vierkantswortel getransformeerd, geïnterpoleerd en vervolgens terug getransformeerd. Voor iedere dag wordt automatisch een variogram gefit. De nugget is nul en het variogrammodel is afhankelijk van de beste fit sferisch of exponentieel. De data in de bestandsnaam correspondeert met de start- en eindtijd van de waarneming. De waarneming om 08:00 UT (eindtijd) wordt toegewezen aan het bestand in de folder van de voorgaande dag op de FTP-sever of in het tar-bestand aangezien 2/3 van de meetperiode op de voorgaande dag valt. Met andere woorden: de meting met de eindtijd 19810102T080000 wordt toegewezen aan de folder 1981/01/01 op de FTP server of in het tar-bestand. Het aantal observaties varieert van 100 tot 310. Deze dataset kan minder nauwkeurig zijn dan de gevalideerde dataset (Rd1).