Articles | Volume 15, issue 2
Atmos. Meas. Tech., 15, 261–277, 2022
https://doi.org/10.5194/amt-15-261-2022
Atmos. Meas. Tech., 15, 261–277, 2022
https://doi.org/10.5194/amt-15-261-2022
Research article
19 Jan 2022
Research article | 19 Jan 2022

Improvement in algorithms for quality control of weather radar data (RADVOL-QC system)

Katarzyna Ośródka and Jan Szturc

Viewed

Total article views: 1,197 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
935 236 26 1,197 13 8
  • HTML: 935
  • PDF: 236
  • XML: 26
  • Total: 1,197
  • BibTeX: 13
  • EndNote: 8
Views and downloads (calculated since 11 Oct 2021)
Cumulative views and downloads (calculated since 11 Oct 2021)

Viewed (geographical distribution)

Total article views: 1,159 (including HTML, PDF, and XML) Thereof 1,159 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Jul 2022
Download
Short summary
Weather radar data are used in weather monitoring and forecasting, but they are affected by numerous errors and require advanced corrections. Different systems are designed and implemented to suit specific local conditions, like the RADVOL-QC system. The radar errors are divided into several groups: disturbance by non-meteorological echoes (from the mountains, RLAN signals, wind turbines, etc.), beam blockage, attenuation, etc. Each of them has different properties and is corrected differently.