Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/hess-2017-651
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article
13 Nov 2017
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Hydrology and Earth System Sciences (HESS).
Using lagged dependence to identify (de)coupled surface andsubsurface soil moisture values
Coleen D. U. Carranza1, Martine J. van der Ploeg1, and Paul J. J. F. Torfs2 1Soil Physics and Land Management Group, Wageningen University, the Netherlands
2Hydrology and Quantitative Water Management Group, Wageningen University, the Netherlands
Abstract. Recent advances in radar remote sensing popularized 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 employed new methods to investigate the occurrence of (de)coupling between surface and subsurface soil moisture. 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. An exploratory step using residuals from a fitted loess function was performed as a posteriori information to determine (de)coupled values. The main approach was applying a distributed lag non-linear model (DLNM) to simultaneously represent both functional relation and lag structure. Both methods allow for a range of (de)coupled soil moisture values to be quantified. Results provide new insights on the decoupled range as its occurrence is not limited to dry conditions.

Citation: Carranza, C. D. U., van der Ploeg, M. J., and Torfs, P. J. J. F.: Using lagged dependence to identify (de)coupled surface andsubsurface soil moisture values, Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-651, in review, 2017.
Coleen D. U. Carranza et al.
Coleen D. U. Carranza et al.
Coleen D. U. Carranza et al.

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Short summary
Remote sensing has been popular for mapping surface soil moisture. However, estimating subsurface values using surface soil moisture remains a challenge as decoupling can occur. Depth-integrated soil moisture values used in hydrological models are affected by vertical variability. Using statistical methods, we investigate vertical variability of surface (5 cm) and subsurface soil moisture (40 cm) to quantify (de)coupled range. These results are useful to identify conditions when decoupling occur.
Remote sensing has been popular for mapping surface soil moisture. However, estimating...
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