DOI: 10.5194/hess-19-2911-2015
Scopus记录号: 2-s2.0-84932598928
论文题名: Operational aspects of asynchronous filtering for flood forecasting
作者: Rakovec O ; , Weerts A ; H ; , Sumihar J ; , Uijlenhoet R
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2015
卷: 19, 期: 6 起始页码: 2911
结束页码: 2924
语种: 英语
Scopus关键词: Catchments
; Digital storage
; Flood control
; Floods
; Moisture
; Soil moisture
; Data assimilation methods
; Discharge assimilations
; Discharge observations
; Ensemble Kalman Filter
; Hydrological forecasting
; Hydrological modeling
; Nonlinear relations
; Operational forecasting
; Forecasting
; catchment
; data assimilation
; ensemble forecasting
; error analysis
; flood forecasting
; hydrological modeling
; Kalman filter
; operations technology
; soil moisture
; Ardennes [Champagne-Ardenne]
; Belgium
; Champagne-Ardenne
; France
英文摘要: This study investigates the suitability of the asynchronous ensemble Kalman filter (AEnKF) and a partitioned updating scheme for hydrological forecasting. The AEnKF requires forward integration of the model for the analysis and enables assimilation of current and past observations simultaneously at a single analysis step. The results of discharge assimilation into a grid-based hydrological model (using a soil moisture error model) for the Upper Ourthe catchment in the Belgian Ardennes show that including past predictions and observations in the data assimilation method improves the model forecasts. Additionally, we show that elimination of the strongly non-linear relation between the soil moisture storage and assimilated discharge observations from the model update becomes beneficial for improved operational forecasting, which is evaluated using several validation measures. © Author(s) 2015. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78484
Appears in Collections: 气候变化事实与影响
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作者单位: Hydrology and Quantitative Water Management Group, Department of Environmental Sciences, Wageningen University, Wageningen, Netherlands; Deltares, P.O. Box 177, MH Delft, Netherlands; UFZ - Helmholtz Centre for Environmental Research, Leipzig, Germany
Recommended Citation:
Rakovec O,, Weerts A,H,et al. Operational aspects of asynchronous filtering for flood forecasting[J]. Hydrology and Earth System Sciences,2015-01-01,19(6)