DOI: 10.5194/hess-20-4341-2016
Scopus记录号: 2-s2.0-84993995832
论文题名: Multivariate hydrological data assimilation of soil moisture and groundwater head
作者: Zhang D ; , Madsen H ; , Ridler M ; E ; , Kidmose J ; , Jensen K ; H ; , Refsgaard J ; C
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2016
卷: 20, 期: 10 起始页码: 4341
结束页码: 4357
语种: 英语
Scopus关键词: Catchments
; Climate models
; Groundwater
; Hydrology
; Moisture
; Runoff
; Soil moisture
; Soils
; Data assimilation methods
; Groundwater heads
; Hydrological data
; Hydrological modeling
; Integrated hydrological modeling
; Localization schemes
; Soil moisture profiles
; Synthetic data
; Soil surveys
; catchment
; data assimilation
; groundwater
; hydraulic head
; hydrological change
; integrated approach
; Kalman filter
; multivariate analysis
; performance assessment
; soil moisture
; Denmark
英文摘要: Observed groundwater head and soil moisture profiles are assimilated into an integrated hydrological model. The study uses the ensemble transform Kalman filter (ETKF) data assimilation method with the MIKE SHE hydrological model code. The method was firstly tested on synthetic data in a catchment of less complexity (the Karup catchment in Denmark), and later implemented using data from real observations in a larger and more complex catchment (the Ahlergaarde catchment in Denmark). In the Karup model, several experiments were designed with respect to different observation types, ensemble sizes and localization schemes, to investigate the assimilation performance. The results showed the necessity of using localization, especially when assimilating both groundwater head and soil moisture. The proposed scheme with both distance localization and variable localization was shown to be more robust and provide better results. Using the same assimilation scheme in the Ahlergaarde model, groundwater head and soil moisture were successfully assimilated into the model. The hydrological model with assimilation showed an overall improved performance compared to the model without assimilation. © 2016 The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78700
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark; DHI, Hørsholm, Denmark; Geological Survey of Denmark and Greenland (GEUS), Copenhagen, Denmark
Recommended Citation:
Zhang D,, Madsen H,, Ridler M,et al. Multivariate hydrological data assimilation of soil moisture and groundwater head[J]. Hydrology and Earth System Sciences,2016-01-01,20(10)