Quality control algorithms for rainfall measurements |
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Authors: | Claudia Golz Thomas Einfalt Marco Gabella Urs Germann |
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Affiliation: | aEinfalt&Hydrotec GbR, Wakenitzmauer 33, D-23552 Lübeck, Germany;bPolitecnico di Torino, C.so Duca degli Abruzzi, 24, I-10129 Torino, Italy;cMeteoSwiss, Via ai Monti della Trinità 146, CH-6500 Locarno-Monti, Switzerland |
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Abstract: | One of the basic requirements for a scientific use of rain data from raingauges, ground and space radars is data quality control. Rain data could be used more intensively in many fields of activity (meteorology, hydrology, etc.), if the achievable data quality could be improved. This depends on the available data quality delivered by the measuring devices and the data quality enhancement procedures. To get an overview of the existing algorithms a literature review and literature pool have been produced. The diverse algorithms have been evaluated to meet VOLTAIRE objectives and sorted in different groups. To test the chosen algorithms an algorithm pool has been established, where the software is collected. A large part of this work presented here is implemented in the scope of the EU-project VOLTAIRE (Validation of multisensors precipitation fields and numerical modeling in Mediterranean test sites). |
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Keywords: | Quality control Radar Raingauge Rainfall Algorithms |
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