Preprints
https://doi.org/10.5194/amt-2022-83
https://doi.org/10.5194/amt-2022-83
 
19 Apr 2022
19 Apr 2022
Status: a revised version of this preprint was accepted for the journal AMT and is expected to appear here in due course.

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

Katarzyna Ośródka1, Irena Otop2, and Jan Szturc1 Katarzyna Ośródka et al.
  • 1Centre of Meteorological Modelling, Institute of Meteorology and Water Management – National Research Institute, PL 01-673 Warszawa, Podleśna 61, Poland
  • 2Research and Development Centre, Institute of Meteorology and Water Management – National Research Institute, PL 01-673 Warszawa, Podleśna 61, Poland

Abstract. The RainGaugeQC scheme described in this paper is intended for real-time quality control of telemetric rain gauge data. It consists of several checks: detection of exceedance of the natural limit and climate-based threshold, and checking of the conformity of rain gauge and radar observations, the consistency of time series from heated and unheated sensors, and the spatial consistency of adjacent gauges. The proposed approach is focused on assessing the reliability of individual rain gauge observations. A quantitative indicator of reliability, called the quality index (QI), describes the quality of each measurement as a number in the range from 0.0 (completely unreliable measurement) to 1.0 (perfect measurement). The QI of a measurement which fails any check is lowered, and only a measurement very likely to be erroneous is replaced with a “no data” value. The quality information provided is very useful in further applications of rain gauge data. The scheme is used operationally by the Polish national meteorological and hydrological service (Institute of Meteorology and Water Management – National Research Institute).

Katarzyna Ośródka et al.

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2022-83', Anonymous Referee #1, 18 Jun 2022
    • AC1: 'Reply on RC1', Jan Szturc, 04 Jul 2022
  • RC2: 'Comment on amt-2022-83', Anonymous Referee #2, 19 Jul 2022
    • AC2: 'Reply on RC2', Jan Szturc, 26 Jul 2022

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2022-83', Anonymous Referee #1, 18 Jun 2022
    • AC1: 'Reply on RC1', Jan Szturc, 04 Jul 2022
  • RC2: 'Comment on amt-2022-83', Anonymous Referee #2, 19 Jul 2022
    • AC2: 'Reply on RC2', Jan Szturc, 26 Jul 2022

Katarzyna Ośródka et al.

Katarzyna Ośródka et al.

Viewed

Total article views: 531 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
428 87 16 531 4 5
  • HTML: 428
  • PDF: 87
  • XML: 16
  • Total: 531
  • BibTeX: 4
  • EndNote: 5
Views and downloads (calculated since 19 Apr 2022)
Cumulative views and downloads (calculated since 19 Apr 2022)

Viewed (geographical distribution)

Total article views: 522 (including HTML, PDF, and XML) Thereof 522 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 28 Sep 2022
Download
Short summary
The RainGaugeQC scheme is intended for real-time quality control of rain gauge data. It consists of several checks: detection of exceedance of the climate-based threshold, checking of the conformity of rain gauge and radar observations, the consistency of time series from sensors, and the spatial consistency of adjacent gauges. The approach is focused on assessing the reliability of individual rain gauge observations.