Articles | Volume 22, issue 4
https://doi.org/10.5194/hess-22-2255-2018
https://doi.org/10.5194/hess-22-2255-2018
Research article
 | 
13 Apr 2018
Research article |  | 13 Apr 2018

Using lagged dependence to identify (de)coupled surface and subsurface soil moisture values

Coleen D. U. Carranza, Martine J. van der Ploeg, and Paul J. J. F. Torfs

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Cited articles

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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 between the surface (5 cm) and subsurface (40 cm) to quantify decoupling. We also discuss potential controls for decoupling during wet and dry conditions.