Articles | Volume 29, issue 18
https://doi.org/10.5194/hess-29-4585-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-29-4585-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Sep 2025
Research article |
| 24 Sep 2025
| 24 Sep 2025
Evaluation of high-intensity rainfall observations from personal weather stations in the Netherlands
Department of Water Management, Delft University of Technology, Delft, the Netherlands
Markus Hrachowitz
Department of Water Management, Delft University of Technology, Delft, the Netherlands
Arjan Droste
Department of Water Management, Delft University of Technology, Delft, the Netherlands
Remko Uijlenhoet
Department of Water Management, Delft University of Technology, Delft, the Netherlands
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Short summary
Rain gauge networks from personal weather stations (PWSs) have a network density 100 times higher than dedicated rain gauge networks in the Netherlands. However, PWSs are prone to several sources of error, as they are generally not installed and maintained according to international guidelines. This study systematically quantifies and describes the uncertainties arising from PWS rainfall estimates. In particular, the focus is on the highest rainfall accumulations.
Rain gauge networks from personal weather stations (PWSs) have a network density 100 times...
