Rainfall observations dataset from personal weather stations around automatic weather stations in the Netherlands

doi:10.4121/caa0a93a-effd-4574-95ec-cd874ca97c05.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/caa0a93a-effd-4574-95ec-cd874ca97c05
Datacite citation style:
Rombeek, Nathalie; Hrachowitz, Markus; Droste, A.M.; Uijlenhoet, Remko (2024): Rainfall observations dataset from personal weather stations around automatic weather stations in the Netherlands. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/caa0a93a-effd-4574-95ec-cd874ca97c05.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

Dataset containing rainfall observations from Netatmo personal weather stations (PWSs) within 20 km from 11 automatic weather stations (AWSs) in the Netherlands. This dataset is based on the 10 highest rainfall events per season, accumulation interval (1h, 3h, 6h and 24h) observed by the AWSs. This resulted in 1760 rainfall events between 2018-2023. For each rainfall event, rainfall observations from PWSs within a 20 km radius from an AWS was collected, using the Netamo public API. The 10 closest PWSs within a radius of 10 km from an AWS were used for quantifying the quality, the other PWSs were used for filtering the data using the PWSQC quality control algorithm. Included are a metadata file with the station locations, distance to closest AWS + name AWS and name, .csv files with the Netatmo data without quality control (raw.zip) and .csv files with the filtered data (filtered.zip) using the PWSQC quality control algorithm.


history
  • 2024-10-15 first online, published, posted
publisher
4TU.ResearchData
format
.csv
funding
  • Perspectief research programme Future flood risk management technologies for rivers and coasts (grant code P21-23) [more info...] Domain Applied and Engineering Sciences of the Dutch Research Council (NWO)
organizations
TU Delft, Faculty of Civil Engineering and Geosciences, Department of Water Management;
Netatmo

DATA

files (4)