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
Viewed
Total article views: 3,925 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,814
1,006
105
3,925
122
129
HTML: 2,814
PDF: 1,006
XML: 105
Total: 3,925
BibTeX: 122
EndNote: 129
Views and downloads (calculated since 12 Apr 2021)
Cumulative views and downloads
(calculated since 12 Apr 2021)
Total article views: 2,888 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,203
600
85
2,888
110
118
HTML: 2,203
PDF: 600
XML: 85
Total: 2,888
BibTeX: 110
EndNote: 118
Views and downloads (calculated since 20 Aug 2021)
Cumulative views and downloads
(calculated since 20 Aug 2021)
Total article views: 1,037 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
611
406
20
1,037
12
11
HTML: 611
PDF: 406
XML: 20
Total: 1,037
BibTeX: 12
EndNote: 11
Views and downloads (calculated since 12 Apr 2021)
Cumulative views and downloads
(calculated since 12 Apr 2021)
Viewed (geographical distribution)
Total article views: 3,925 (including HTML, PDF, and XML)
Thereof 3,794 with geography defined
and 131 with unknown origin.
Total article views: 2,888 (including HTML, PDF, and XML)
Thereof 2,794 with geography defined
and 94 with unknown origin.
Total article views: 1,037 (including HTML, PDF, and XML)
Thereof 1,000 with geography defined
and 37 with unknown origin.
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...
