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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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HESS | Articles | Volume 22, issue 4
Hydrol. Earth Syst. Sci., 22, 2255–2267, 2018
https://doi.org/10.5194/hess-22-2255-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Hydrol. Earth Syst. Sci., 22, 2255–2267, 2018
https://doi.org/10.5194/hess-22-2255-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

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 et al.

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (27 Feb 2018) by Nunzio Romano
AR by Coleen Carranza on behalf of the Authors (27 Feb 2018)  Author's response    Manuscript
ED: Publish as is (16 Mar 2018) by Nunzio Romano
Publications Copernicus
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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.
Remote sensing has been popular for mapping surface soil moisture. However, estimating...
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