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SYNOP - hourly unvalidated observations from the KNMI automated network in bi...
Encoded, synoptical in-situ observations per one hour of all parameters derived from the available operational stations in the Netherlands and the Dutch part of the North Sea...-
Data format:
BUFR
License:
CC-BY-4.0
APIs:
Open Data API
Notification Service
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WAQUA surge timeseries obtained with forcings from KNMI-RACMO-ECEARTH ensemble
Data set contains a 16-member ensemble of multi-annual time series of wind-induced surge and astronomical tide for eight stations along the Dutch coast. 1-hourly time series are...-
Data format:
NetCDF
License:
CC-BY-4.0
APIs:
Open Data API
Notification Service
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Bias-adjusted parameters (pr, tas, evappot) Rhine catchment (upstream of Lobi...
KNMI-RACMO-ECEARTH datasets of bias-adjusted precipitation, temperature (daily mean/max/min) and potential evaporation for the German and Swiss part of the Rhine catchment. Time...-
Data format:
NetCDF
License:
CC-BY-4.0
APIs:
Open Data API
Notification Service
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Bias-adjusted parameters (pr, tas, evappot) for the Netherlands (gridded) fro...
KNMI-RACMO-ECEARTH datasets of bias-adjusted precipitation, temperature (daily mean/max/min) and potential evaporation for the Netherlands. Time resolution: 1-hourly for...-
Data format:
NetCDF
License:
CC-BY-4.0
APIs:
Open Data API
Notification Service
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Bias-adjusted parameters (pr, tas, evappot) Meuse catchment (B and F) from KN...
KNMI-RACMO-ECEARTH datasets of bias-adjusted precipitation, temperature (daily mean/max/min) and potential evaporation for the Belgian and French part of the Meuse catchment....-
Data format:
NetCDF
License:
CC-BY-4.0
APIs:
Open Data API
Notification Service
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Wavedata and seawatertemperatures - seawatertemperatures, waveperiodes and -h...
This dataset is constructed using measurements of sensors for seawatertemperatures, waveperiodes and -heights. The dataset is neither validated nor are missing values completed.-
Data format:
ASCII
License:
CC-BY-4.0
APIs:
Open Data API
Notification Service
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Arctic - Climate state dependence of precipitation variability
This dataset contains the data used for the following paper: "Climate state dependence of precipitation variability". The following variables are available on a monthly...-
Data format:
NetCDF
License:
CC-BY-4.0
APIs:
Open Data API
Notification Service
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KNMI UV-polarisation lidar Ascension Island initiative (ASCII) campaign data
A ground-based UV-polarisation lidar was deployed to infer cloud droplet sizes and droplet number concentrations near the cloud base of cumulus clouds over Ascension Island. The...-
Data format:
NetCDF
License:
CC-BY-4.0
APIs:
Open Data API
Notification Service
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Soil temperatures - temperatures at various depths at a 10 minute interval
This dataset is constructed using measurements of temperature-sensors at various depths. The dataset is neither validated nor are missing values completed.-
Data format:
ASCII
License:
CC-BY-4.0
APIs:
Open Data API
Notification Service
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Precipitation - daily rainfall sum and depth of snow cover from network of vo...
Pre-controlled data of the 24 hour (08-08 UTC) precipitation amount from 322 stations in the KNMI climatological precipitation network (situation per 01-Jan-2018).-
Data format:
ASCII
License:
CC-BY-4.0
APIs:
Open Data API
Notification Service
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Evaporation - KNMI14 Daily Makkink evaporation 2085 WL
KNMI14 daily scenario data: 2085 WL. Gridded files of daily Makkink evaporation in the Netherlands. Based on 14 automatic weather stations.-
Data format:
NetCDF
License:
CC-BY-4.0
APIs:
Open Data API
Notification Service
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Evaporation - KNMI14 Daily Makkink evaporation 2085 GH
KNMI14 daily scenario data: 2085 GH. Gridded files of daily Makkink evaporation in the Netherlands. Based on 14 automatic weather stations.-
Data format:
NetCDF
License:
CC-BY-4.0
APIs:
Open Data API
Notification Service
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Ozone - assimilated ozone profiles from GOME satellite observations
3D ozone fields: assimilated nadir ozone profiles from GOME and GOME-2 observations. The ozone profiles are developed within the ozone project of the CCI programme of ESA.-
Data format:
NetCDF
License:
CC-BY-4.0
APIs:
Open Data API
Notification Service
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AOD (Aerosol Optical Depth) estimates from LARISSA
This dataset represents AOD (Aerosol Optical Depth) estimates, retrieved from LARISSA (Lidar Aerosol Retrieval based on Information from Sea Surface of Aeolus)-
Data format:
NetCDF
License:
CC-BY-4.0
APIs:
Open Data API
Notification Service
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Meteo data - information on stations in the KNMI observations network
KNMI collects observations from the automatic weather stations situated in the Netherlands and BES islands on locations such as aerodromes, North Sea platforms and wind poles....-
Data format:
ASCII
License:
CC-BY-4.0
APIs:
Open Data API
Notification Service
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Meteo data - information on stations in the KNMI observations network
KNMI collects observations from the automatic weather stations situated in the Netherlands and BES islands on locations such as aerodromes, North Sea platforms and wind poles....-
Data format:
NetCDF
License:
CC-BY-4.0
APIs:
Open Data API
Notification Service
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NAM EPOS datasets
Seismic datasets collected by NAM between 2013 and 2018 from downhole geophone arrays and flexible networks deployed in the Groningen area.-
Data format:
SEG-Y, SEG-D, MIRF5
License:
CC-BY-4.0
APIs:
Open Data API
Notification Service
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[DEPRECATED] Precipitation - radar/gauge 5-minute ensemble nowcast of precipi...
Ensemble nowcasts generated using pySTEPS based on 5-minute radar/gauge precipitation intensities. Ensemble nowcasts contain 20 members and are generated for 0-120 minutes lead...-
Data format:
HDF5
License:
CC-BY-4.0
APIs:
Open Data API
Notification Service
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[DEPRECATED] KNMI'23 - Representative climate years for the urban environment...
The KNMI’23 climate scenarios are based on 240 years (8 ensembles of 30 years each) of RACMO (Regional Atmospheric Climate Model) v2.3 data for every horizon/scenario. From this...-
Data format:
NetCDF, xlsx
License:
CC-BY-4.0
APIs:
Open Data API
Notification Service
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[DEPRECATED] Ensemble precipitation forecasts made with Quantile Regression F...
A gridded 50-member ensemble of precipitation forecasts that are created using a tree-based machine learning method, quantile regression forests, and inputs from the...-
Data format:
NetCDF
License:
CC-BY-4.0
APIs:
Open Data API
Notification Service