Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 28, issue 3
Articles | Volume 28, issue 3
https://doi.org/10.5194/hess-28-649-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-28-649-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 28, issue 3
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: 2,412 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,867 484 61 2,412 59 51
  • HTML: 1,867
  • PDF: 484
  • XML: 61
  • Total: 2,412
  • BibTeX: 59
  • EndNote: 51
Views and downloads (calculated since 12 Jun 2023)
Cumulative views and downloads (calculated since 12 Jun 2023)

Viewed (geographical distribution)

Total article views: 2,412 (including HTML, PDF, and XML) Thereof 2,354 with geography defined and 58 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 27 Feb 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.
Read more
Share