Articles | Volume 15, issue 19
https://doi.org/10.5194/amt-15-5581-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-15-5581-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Automatic quality control of telemetric rain gauge data providing quantitative quality information (RainGaugeQC)
Katarzyna Ośródka
Centre of Meteorological Modelling, Institute of Meteorology and Water Management – National Research Institute, Podleśna 61, 01-673 Warsaw, Poland
Irena Otop
Research and Development Centre, Institute of Meteorology and Water
Management – National Research Institute, Podleśna 61, 01-673 Warsaw, Poland
Centre of Meteorological Modelling, Institute of Meteorology and Water Management – National Research Institute, Podleśna 61, 01-673 Warsaw, Poland
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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.
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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.
The quality control of sub-hourly rain gauge data is a challenging task due to the high...