Evaluation of soil moisture in CMIP5 simulations over the contiguous United States using in situ and satellite observations

Yuan, Shanshui; Quiring, Steven M.

doi:https://doi.org/10.5194/hess-21-2203-2017

Articles | Volume 21, issue 4

https://doi.org/10.5194/hess-21-2203-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-21-2203-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 21, issue 4

Research article

|

24 Apr 2017

Research article |

| 24 Apr 2017

Evaluation of soil moisture in CMIP5 simulations over the contiguous United States using in situ and satellite observations

Shanshui Yuan and Steven M. Quiring

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Final revised paper (published on 24 Apr 2017)
Preprint (discussion started on 09 Nov 2016)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'referee comments', Anonymous Referee #1, 27 Dec 2016
- AC1: 'hess-2016-477 Response to the Reviewer #1’s comments', Shanshui Yuan, 14 Feb 2017
RC2: 'Review of Yuan and Quiring “Evaluation of soil moisture in CMIP5 simulations over contiguous United States using in situ and satellite observations”', Rene Orth, 09 Jan 2017
- AC2: 'hess-2016-477 Response to the Reviewer #2's comments', Shanshui Yuan, 14 Feb 2017

Peer-review completion

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

ED: Publish subject to minor revisions (further review by Editor) (27 Feb 2017) by Sabine Attinger

AR by Shanshui Yuan on behalf of the Authors (01 Mar 2017) Author's response Manuscript

ED: Publish as is (02 Apr 2017) by Sabine Attinger

Short summary

This study has significant practical implications because soil moisture from ESMs can be used for operational drought monitoring, calibrating/validating satellites and documenting how soil moisture influences the climate system on seasonal to interannual timescales. This article shows the spatial and temporal patterns of biases of simulated soil moisture. This could help better develop the models and provide better predictions of future soil-moisture-related climatic events.