Key Laboratory of Meteorological Disaster of Ministry of Education/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, China
Ulrich Blahak
Deutscher Wetterdienst, Offenbach, Germany
Alberto de Lozar
Deutscher Wetterdienst, Offenbach, Germany
Elisabeth Bauernschubert
Deutscher Wetterdienst, Offenbach, Germany
Klaus Stephan
Deutscher Wetterdienst, Offenbach, Germany
Jinzhong Min
Key Laboratory of Meteorological Disaster of Ministry of Education/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, China
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Total article views: 3,413 (including HTML, PDF, and XML)
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Total article views: 2,443 (including HTML, PDF, and XML)
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Total article views: 970 (including HTML, PDF, and XML)
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Observation errors (OEs) of radar measurements are correlated. The Desroziers method has been often used to estimate statistics of OE in data assimilation. However, the resulting statistics consist of contributions from different sources and are difficult to interpret. Here, we use an approach based on samples for truncation error to approximate the representation error due to unresolved scales and processes (RE) and compare its statistics with OE statistics estimated by the Desroziers method.
Observation errors (OEs) of radar measurements are correlated. The Desroziers method has been...
