DOI: 10.5194/hess-20-4999-2016
Scopus记录号: 2-s2.0-85006994615
论文题名: EnKF with closed-eye period - Towards a consistent aggregation of information in soil hydrology
作者: Bauser H ; H ; , Jaumann S ; , Berg D ; , Roth K
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2016
卷: 20, 期: 12 起始页码: 4999
结束页码: 5014
语种: 英语
Scopus关键词: Boundary conditions
; Soil moisture
; Soils
; Constant parameters
; Ensemble Kalman Filter
; Local equilibrium assumption
; Non-equilibrium phasis
; Small-scale heterogeneity
; Soil hydraulic parameters
; Soil water movement
; Tdr (time domain reflectometry)
; Uncertainty analysis
; boundary condition
; estimation method
; heterogeneity
; information management
; Kalman filter
; Richards equation
; soil profile
; soil water
; water content
英文摘要: The representation of soil water movement exposes uncertainties in all model components. We assess the key uncertainties for the specific hydraulic situation of a 1-D soil profile with TDR (time domain reflectometry)-measured water contents. The uncertainties addressed are initial condition, soil hydraulic parameters, small-scale heterogeneity, upper boundary condition, and the local equilibrium assumption by the Richards equation. We employ an ensemble Kalman filter (EnKF) with an augmented state to represent and estimate all key uncertainties, except for the intermittent violation of the local equilibrium assumption. For the latter, we introduce a closed-eye EnKF to bridge the gap. Due to an iterative approach, the EnKF was capable of estimating soil parameters, Miller scaling factors and upper boundary condition based on TDR measurements during a single rain event. The introduced closed-eye period ensured constant parameters, suggesting that they resemble the believed true material properties. This closed-eye period improves predictions during periods when the local equilibrium assumption is met, but requires a description of the dynamics during local non-equilibrium phases to be able to predict them. Such a description remains an open challenge. Finally, for the given representation our results show the necessity of including small-scale heterogeneity. A simplified representation with Miller scaling already yielded a satisfactory description. © 2016 Author(s) . Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78663
Appears in Collections: 气候变化事实与影响
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作者单位: Institute of Environmental Physics (IUP), Heidelberg University, Heidelberg, Germany; HGS MathComp, Heidelberg University, Heidelberg, Germany; Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University, Heidelberg, Germany
Recommended Citation:
Bauser H,H,, Jaumann S,et al. EnKF with closed-eye period - Towards a consistent aggregation of information in soil hydrology[J]. Hydrology and Earth System Sciences,2016-01-01,20(12)