DOI: 10.5194/hess-22-2255-2018
Scopus记录号: 2-s2.0-85045380635
论文题名: Using lagged dependence to identify (de)coupled surface and subsurface soil moisture values
作者: Carranza C ; D ; U ; , Van Der Ploeg M ; J ; , Torfs P ; J ; J ; F
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2018
卷: 22, 期: 4 起始页码: 2255
结束页码: 2267
语种: 英语
Scopus关键词: Remote sensing
; Time series
; Depth integrated
; Exploratory analysis
; Functional relation
; Hydrological models
; Non-linear model
; Radar remote sensing
; Subsurface soil
; Surface soil moisture
; Soil moisture
; hydrological modeling
; radar
; remote sensing
; soil column
; soil moisture
; subsurface flow
; time series analysis
英文摘要: Recent advances in radar remote sensing popularized the mapping of surface soil moisture at different spatial scales. Surface soil moisture measurements are used in combination with hydrological models to determine subsurface soil moisture values. However, variability of soil moisture across the soil column is important for estimating depth-integrated values, as decoupling between surface and subsurface can occur. In this study, we employ new methods to investigate the occurrence of (de)coupling between surface and subsurface soil moisture. Using time series datasets, lagged dependence was incorporated in assessing (de)coupling with the idea that surface soil moisture conditions will be reflected at the subsurface after a certain delay. The main approach involves the application of a distributed-lag nonlinear model (DLNM) to simultaneously represent both the functional relation and the lag structure in the time series. The results of an exploratory analysis using residuals from a fitted loess function serve as a posteriori information to determine (de)coupled values. Both methods allow for a range of (de)coupled soil moisture values to be quantified. Results provide new insights into the decoupled range as its occurrence among the sites investigated is not limited to dry conditions. © Author(s) 2018. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79334
Appears in Collections: 气候变化事实与影响
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作者单位: Soil Physics and Land Management Group, Wageningen University, Wageningen, Netherlands; Hydrology and Quantitative Water Management Group, Wageningen University, Wageningen, Netherlands
Recommended Citation:
Carranza C,D,U,et al. Using lagged dependence to identify (de)coupled surface and subsurface soil moisture values[J]. Hydrology and Earth System Sciences,2018-01-01,22(4)