Abstract

KNMI collects in-situ meteorological observations in the Netherlands aggregated into hourly, daily, monthly, and annual datasets. 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.

The weather stations measure essential climate variables (ECVs), surface precipitation, pressure, global radiation, temperature, water vapor, wind speed and direction, clouds, and visibility. Sunshine duration and potential evapotranspiration are calculated from the ECVs. When applicable, minima, maxima, means, and sums are defined or calculated.

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.

Supplemental information


Metadata

Dataset name hourly-in-situ-meteorological-observations-validated
Dataset version 1.0
Status onGoing
Last metadata update September 30, 2025, 09:43 (UTC)
Update frequency continual
File formats NetCDF
Spatial representation type vector
License https://creativecommons.org/licenses/by/4.0/
North bound latitude 55.7
East bound longitude 7.4
South bound latitude 12
West bound longitude -68.5
Dataset edition 1
Dataset manager Klimaat Team
Maintainer KNMI Data Services
Publication timestamp 2025-09-19T00:00:00Z
Reference system identifier EPSG4326
Dataset start time 1951-01-01
Dataset end time 9999-12-31
Identifier urn:xkdc:ds:nl.knmi::hourly-in-situ-meteorological-observations-validated/1/
Lineage statement KNMI Robuust Klimatologisch Informatie Systeem (RobuKIS)
Use limitation Door verplaatsingen van stations en veranderingen in meettechnieken zijn de gegevens in deze datasets niet homogeen. Hierdoor zijn deze reeksen niet geschikt voor trendanalyses.
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