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Uncertainty of Flood Forecasting Based on Radar Rainfall Data Assimilation
Joint Authors
Zhang, Liping
Shan, Lijie
Chen, Shaodan
Chen, Xinchi
Gippel, Christopher James
Yang, Wei
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-09-26
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Precipitation is the core data input to hydrological forecasting.
The uncertainty in precipitation forecast data can lead to poor performance of predictive hydrological models.
Radar-based precipitation measurement offers advantages over ground-based measurement in the quantitative estimation of temporal and spatial aspects of precipitation, but errors inherent in this method will still act to reduce the performance.
Using data from White Lotus River of Hubei Province, China, five methods were used to assimilate radar rainfall data transformed from the classified Z - R relationship, and the postassimilation data were compared with precipitation measured by rain gauges.
The five sets of assimilated rainfall data were then used as input to the Xinanjiang model.
The effect of precipitation data input error on runoff simulation was analyzed quantitatively by disturbing the input data using the Breeding of Growing Modes method.
The results of practical application demonstrated that the statistical weight integration and variational assimilation methods were superior.
The corresponding performance in flood hydrograph prediction was also better using the statistical weight integration and variational methods compared to the others.
It was found that the errors of radar rainfall data disturbed by the Breeding of Growing Modes had a tendency to accumulate through the hydrological model.
American Psychological Association (APA)
Chen, Xinchi& Zhang, Liping& Gippel, Christopher James& Shan, Lijie& Chen, Shaodan& Yang, Wei. 2016. Uncertainty of Flood Forecasting Based on Radar Rainfall Data Assimilation. Advances in Meteorology،Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1095404
Modern Language Association (MLA)
Chen, Xinchi…[et al.]. Uncertainty of Flood Forecasting Based on Radar Rainfall Data Assimilation. Advances in Meteorology No. 2016 (2016), pp.1-12.
https://search.emarefa.net/detail/BIM-1095404
American Medical Association (AMA)
Chen, Xinchi& Zhang, Liping& Gippel, Christopher James& Shan, Lijie& Chen, Shaodan& Yang, Wei. Uncertainty of Flood Forecasting Based on Radar Rainfall Data Assimilation. Advances in Meteorology. 2016. Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1095404
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1095404