DOI: 10.1002/2014GL062496
论文题名: Predicting subgrid variability of soil water content from basic soil information
作者: Qu W. ; Bogena H.R. ; Huisman J.A. ; Vanderborght J. ; Schuh M. ; Priesack E. ; Vereecken H.
刊名: Geophysical Research Letters
ISSN: 0094-9004
EISSN: 1944-8735
出版年: 2015
卷: 42, 期: 3 起始页码: 789
结束页码: 796
语种: 英语
英文关键词: predict
; soil water content
; subgrid variability
Scopus关键词: Forecasting
; Sensitivity analysis
; Soil moisture
; Stochastic models
; Stochastic systems
; Closed-form expression
; Gravitational flows
; Hydraulic properties
; Pedo-transfer functions
; Predict
; Soil water content
; Stochastic analysis
; Sub-grid variability
; Soils
; data set
; gravity flow
; hydrological cycle
; prediction
; sensitivity analysis
; soil texture
; soil water
; stochasticity
; water content
英文摘要: Knowledge of unresolved soil water content variability within model grid cells (i.e., subgrid variability) is important for accurate predictions of land-surface energy and hydrologic fluxes. Here we derived a closed-form expression to describe how soil water content variability depends on mean soil water content (σθ(<θ>)) using stochastic analysis of 1-D unsaturated gravitational flow based on the van Genuchten-Mualem (VGM) model. A sensitivity analysis showed that the n parameter strongly influenced both the shape and magnitude of the maximum of σθ(<θ>). The closed-form expression was used to predict σθ(<θ>) for eight data sets with varying soil texture using VGM parameters obtained from pedotransfer functions that rely on available soil information. Generally, there was good agreement between observed and predicted σθ(<θ>) despite the obvious simplifications that were used to derive the closed-form expression. Furthermore, the novel closed-form expression was successfully used to inversely estimate the variability of hydraulic properties from observed σθ(<θ>) data. © 2015 The Authors. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84925168075&doi=10.1002%2f2014GL062496&partnerID=40&md5=404c152f5cf45638df1912b28ca00613
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/8620
Appears in Collections: 科学计划与规划 气候变化与战略
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作者单位: Institute of Bio- and Geosciences Agrosphere, Forschungszentrum Jülich GmbH, Jülich, Germany
Recommended Citation:
Qu W.,Bogena H.R.,Huisman J.A.,et al. Predicting subgrid variability of soil water content from basic soil information[J]. Geophysical Research Letters,2015-01-01,42(3).