DOI: 10.5194/hess-18-2543-2014
Scopus记录号: 2-s2.0-84903831409
论文题名: Kalman filters for assimilating near-surface observations into the Richards equation - Part 3: Retrieving states and parameters from laboratory evaporation experiments
作者: Medina H ; , Romano N ; , Chirico G ; B
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2014
卷: 18, 期: 7 起始页码: 2543
结束页码: 2557
语种: 英语
Scopus关键词: Budget control
; Evaporation
; Experiments
; Soil moisture
; Solute transport
; Assimilation procedure
; Initial conditions
; Laboratory conditions
; Matric potential
; Parameter estimation method
; Richards Equation
; Soil water content
; Vertical gradients
; Kalman filters
; accuracy assessment
; data set
; Kalman filter
; parameterization
; Richards equation
; soil profile
; soil water
英文摘要: The purpose of this work is to evaluate the performance of a dual Kalman filter procedure in retrieving states and parameters of a one-dimensional soil water budget model based on the Richards equation, by assimilating near-surface soil water content values during evaporation experiments carried out under laboratory conditions. The experimental data set consists of simultaneously measured evaporation rates, soil water content and matric potential profiles. The parameters identified by assimilating the data measured at 1 and 2 cm soil depths are in very good agreement with those obtained by exploiting the observations carried out in the entire soil profiles. A reasonably good correspondence has been found between the parameter values obtained from the proposed assimilation technique and those identified by applying a non-sequential parameter estimation method. The dual Kalman filter also performs well in retrieving the water state in the porous system. Bias and accuracy of the predicted state profiles are affected by observation depth changes, particularly for the experiments involving low state vertical gradients. The assimilation procedure proved flexible and very stable in both experimental cases, independently from the selected initial conditions and the involved uncertainty. © Author(s) 2014. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78198
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Basic Sciences, Agrarian University of Havana, Havana, Cuba; Department of Agricultural Engineering, University of Naples Federico II, Naples, Italy
Recommended Citation:
Medina H,, Romano N,, Chirico G,et al. Kalman filters for assimilating near-surface observations into the Richards equation - Part 3: Retrieving states and parameters from laboratory evaporation experiments[J]. Hydrology and Earth System Sciences,2014-01-01,18(7)