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You are here : eLibrary : IAHR World Congress Proceedings : 35th IAHR Congress - Chengdu (2013) : THEME 8 - CLIMATE CHANGE AND HAZARD MITIGATION : Empirically Modeling Radar Quantitative Precipitation Estimation Uncertainty for an C-band Radar in ...
Empirically Modeling Radar Quantitative Precipitation Estimation Uncertainty for an C-band Radar in the United Kingdom
Author : Qiang Dai, Dawei Han and Miguel A. Rico-Ramirez
Ensemble generation of probable true rainfall is an elegant solution to characterize the uncertainty of radar precipitation estimation. In this study, we propose an ensemble generator to model the radar rainfall uncertainty based on copula and autoregressive filter. We firstly build an error model based on the distribution of gauge rainfall conditioned on radar rainfall (GR|RR). A number of realistic error perturbation fields with given spatial correlation are generated using copula. Then the autoregressive filter is used to impose the desired temporal correlation. The fact that the simulated uncertainty band of rainfall encompasses most of the reference rain gauge measurements and a fairly good agreement between the simulated and observed spatial and temporal dependences indicates that the proposed scheme is a statistically reliable method in ensemble radar rainfall generation.
File Size : 391,667 bytes
File Type : Adobe Acrobat Document
Chapter : IAHR World Congress Proceedings
Category : 35th IAHR Congress - Chengdu (2013)
Article : THEME 8 - CLIMATE CHANGE AND HAZARD MITIGATION
Date Published : 19/07/2016
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