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

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

doi:https://doi.org/10.5194/hess-22-2255-2018

Articles | Volume 22, issue 4

https://doi.org/10.5194/hess-22-2255-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-22-2255-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 22, issue 4

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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Final revised paper (published on 13 Apr 2018)
Preprint (discussion started on 13 Nov 2017)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review of the paper: Using lagged dependence to identify (de)coupled surface and subsurface soil moisture values by Coleen et al', Anonymous Referee #1, 20 Dec 2017
- AC1: 'Author's reply to reviewer comments', Coleen Carranza, 22 Feb 2018
RC2: 'Review of "Using lagged dependence to identify (de)coupled surface and subsurface soil moisture values"', Anonymous Referee #2, 22 Jan 2018
- AC2: 'Author's reply to reviewer comments', Coleen Carranza, 22 Feb 2018
RC3: 'Review of “Using lagged dependence to identify (de)coupled surface and subsurface soil moisture values”', Anonymous Referee #3, 25 Jan 2018
- AC3: 'Author's reply to reviewer comments', Coleen Carranza, 22 Feb 2018

Peer-review completion

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

AR by Coleen Carranza on behalf of the Authors (21 Mar 2018) Manuscript

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.