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

Related authors

Adaptation of RainGaugeQC algorithms for quality control of rain gauge data from professional and non-professional measurement networks
Katarzyna Ośródka, Jan Szturc, Anna Jurczyk, and Agnieszka Kurcz
Atmos. Meas. Tech., 18, 3229–3245, https://doi.org/10.5194/amt-18-3229-2025,https://doi.org/10.5194/amt-18-3229-2025, 2025
Short summary
Can we reliably estimate precipitation with high resolution during disastrously large floods?
Jan Szturc, Anna Jurczyk, Katarzyna Ośródka, Agnieszka Kurcz, Magdalena Szaton, Mariusz Figurski, and Robert Pyrc
EGUsphere, https://doi.org/10.5194/egusphere-2025-1863,https://doi.org/10.5194/egusphere-2025-1863, 2025
Short summary
Long-term multi-source precipitation estimation with high resolution (RainGRS Clim)
Anna Jurczyk, Katarzyna Ośródka, Jan Szturc, Magdalena Pasierb, and Agnieszka Kurcz
Atmos. Meas. Tech., 16, 4067–4079, https://doi.org/10.5194/amt-16-4067-2023,https://doi.org/10.5194/amt-16-4067-2023, 2023
Short summary
Improvement in algorithms for quality control of weather radar data (RADVOL-QC system)
Katarzyna Ośródka and Jan Szturc
Atmos. Meas. Tech., 15, 261–277, https://doi.org/10.5194/amt-15-261-2022,https://doi.org/10.5194/amt-15-261-2022, 2022
Short summary

Cited articles

Bárdossy, A., Seidel, J., and El Hachem, A.: The use of personal weather station observations to improve precipitation estimation and interpolation, Hydrol. Earth Syst. Sci., 25, 583–601, https://doi.org/10.5194/hess-25-583-2021, 2021. 
Baserud, L., Lussana, C., Nipen, T. N., Seierstad, I. A., Oram, L., and Aspelien, T.: TITAN automatic spatial quality control of meteorological in-situ observations, Adv. Sci. Res., 17, 153–163, https://doi.org/10.5194/asr-17-153-2020, 2020. 
Blenkinsop, S., Lewis, E., Chan, S. C., and Fowler, H. J.: An hourly precipitation dataset and climatology of extremes for the UK, Int. J. Climatol., 37, 722–740, https://doi.org/10.1002/joc.4735, 2017. 
Buisán, S. T., Earle, M. E., Collado, J. L., Kochendorfer, J., Alastrué, J., Wolff, M., Smith, C. D., and López-Moreno, J. I.: Assessment of snowfall accumulation underestimation by tipping bucket gauges in the Spanish operational network, Atmos. Meas. Tech., 10, 1079–1091, https://doi.org/10.5194/amt-10-1079-2017, 2017. 
Burszta-Adamiak, E., Licznar, P., and Zaleski, J.: Criteria for identifying maximum rainfall determined by the peaks-over-threshold (POT) method under the Polish Atlas of Rainfall Intensities (PANDa) project, Meteorol. Hydrol. Water Manage., 7, 3–13, https://doi.org/10.26491/mhwm/93595, 2019. 
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.
Share