Estimating time-dependent vegetation biases  in the SMAP soil moisture product

Zwieback, Simon; Colliander, Andreas; Cosh, Michael H.; Martínez-Fernández, José; McNairn, Heather; Starks, Patrick J.; Thibeault, Marc; Berg, Aaron

doi:https://doi.org/10.5194/hess-22-4473-2018

Articles | Volume 22, issue 8

https://doi.org/10.5194/hess-22-4473-2018

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

https://doi.org/10.5194/hess-22-4473-2018

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

Articles | Volume 22, issue 8

Research article

| Highlight paper

|

22 Aug 2018

Research article | Highlight paper |

| 22 Aug 2018

Estimating time-dependent vegetation biases in the SMAP soil moisture product

Simon Zwieback, Andreas Colliander, Michael H. Cosh, José Martínez-Fernández, Heather McNairn, Patrick J. Starks, Marc Thibeault, and Aaron Berg

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Final revised paper (published on 22 Aug 2018)
Supplement to the final revised paper
Preprint (discussion started on 07 Feb 2018)
Supplement to the preprint

Interactive discussion

Status: closed

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

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RC1: 'Important advance but needs more detailed presentation', Alexandra Konings, 24 Feb 2018
- AC1: 'Response', Simon Zwieback, 30 Apr 2018
RC2: 'Review of "Estimating time-dependent vegetation biases in the SMAP soil moisture product"', Wade Crow, 09 Mar 2018
- AC2: 'Response', Simon Zwieback, 30 Apr 2018

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Reconsider after major revisions (further review by editor and referees) (01 May 2018) by Graham Jewitt

AR by Simon Zwieback on behalf of the Authors (16 May 2018) Author's response Manuscript

ED: Referee Nomination & Report Request started (18 May 2018) by Graham Jewitt

RR by Alexandra Konings (14 Jun 2018)

RR by Wade Crow (26 Jul 2018)

ED: Publish subject to technical corrections (02 Aug 2018) by Graham Jewitt

AR by Simon Zwieback on behalf of the Authors (02 Aug 2018) Author's response Manuscript

Short summary

Satellite soil moisture products can provide critical information on incipient droughts and the interplay between vegetation and water availability. However, time-variant systematic errors in the soil moisture products may impede their usefulness. Using a novel statistical approach, we detect such errors (associated with changing vegetation) in the SMAP soil moisture product. The vegetation-associated biases impede drought detection and the quantification of vegetation–water interactions.