Articles | Volume 15, issue 19
https://doi.org/10.5194/amt-15-5581-2022
https://doi.org/10.5194/amt-15-5581-2022
Research article
 | 
04 Oct 2022
Research article |  | 04 Oct 2022

Automatic quality control of telemetric rain gauge data providing quantitative quality information (RainGaugeQC)

Katarzyna Ośródka, Irena Otop, and Jan Szturc

Viewed

Total article views: 1,720 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,204 468 48 1,720 39 32
  • HTML: 1,204
  • PDF: 468
  • XML: 48
  • Total: 1,720
  • BibTeX: 39
  • EndNote: 32
Views and downloads (calculated since 19 Apr 2022)
Cumulative views and downloads (calculated since 19 Apr 2022)

Viewed (geographical distribution)

Total article views: 1,720 (including HTML, PDF, and XML) Thereof 1,679 with geography defined and 41 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 16 Apr 2024
Download
Short summary
The quality control of sub-hourly rain gauge data is a challenging task due to the high variability and low spatial consistency of the data. We developed an innovative approach to the quality control of telemetric rain gauge data focused on assessing the reliability of individual observations. Our scheme employs weather radar data to detect erroneous rain gauge measurements and to assess the data reliability. The scheme is used operationally by the Polish meteorological and hydrological service.