Articles | Volume 28, issue 3
https://doi.org/10.5194/hess-28-649-2024
https://doi.org/10.5194/hess-28-649-2024
Research article
 | 
14 Feb 2024
Research article |  | 14 Feb 2024

Merging with crowdsourced rain gauge data improves pan-European radar precipitation estimates

Aart Overeem, Hidde Leijnse, Gerard van der Schrier, Else van den Besselaar, Irene Garcia-Marti, and Lotte Wilhelmina de Vos

Viewed

Total article views: 2,918 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,211 637 70 2,918 73 76
  • HTML: 2,211
  • PDF: 637
  • XML: 70
  • Total: 2,918
  • BibTeX: 73
  • EndNote: 76
Views and downloads (calculated since 12 Jun 2023)
Cumulative views and downloads (calculated since 12 Jun 2023)

Viewed (geographical distribution)

Total article views: 2,918 (including HTML, PDF, and XML) Thereof 2,858 with geography defined and 60 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 08 Aug 2025
Download
Short summary
Ground-based radar precipitation products typically need adjustment with rain gauge accumulations to achieve a reasonable accuracy. Crowdsourced rain gauge networks have a much higher density than conventional ones. Here, a 1-year personal weather station (PWS) gauge dataset is obtained. After quality control, the 1 h PWS gauge accumulations are merged with pan-European radar accumulations. The potential of crowdsourcing to improve radar precipitation products in (near) real time is confirmed.
Share