Articles | Volume 21, issue 6
https://doi.org/10.5194/hess-21-2843-2017
https://doi.org/10.5194/hess-21-2843-2017
Research article
 | 
09 Jun 2017
Research article |  | 09 Jun 2017

Land surface model performance using cosmic-ray and point-scale soil moisture measurements for calibration

Joost Iwema, Rafael Rosolem, Mostaquimur Rahman, Eleanor Blyth, and Thorsten Wagener

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by Editor and Referees) (13 Jan 2017) by Harrie-Jan Hendricks Franssen
AR by Joost Iwema on behalf of the Authors (06 Mar 2017)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (08 Mar 2017) by Harrie-Jan Hendricks Franssen
RR by Anonymous Referee #3 (26 Mar 2017)
RR by Adriaan J. (Ryan) Teuling (30 Mar 2017)
RR by Roland Baatz (11 Apr 2017)
ED: Publish subject to minor revisions (further review by Editor) (12 Apr 2017) by Harrie-Jan Hendricks Franssen
AR by Joost Iwema on behalf of the Authors (21 Apr 2017)  Author's response   Manuscript 
ED: Publish subject to technical corrections (10 May 2017) by Harrie-Jan Hendricks Franssen
AR by Joost Iwema on behalf of the Authors (16 May 2017)  Author's response   Manuscript 
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Short summary
We investigated whether the simulation of water flux from the land surface to the atmosphere (using the Joint UK Land Environment Simulator model) could be improved by replacing traditional soil moisture sensor data with data from the more novel Cosmic-Ray Neutron soil moisture sensor. Despite observed differences between the two types of soil moisture measurement data, we found no substantial differences in improvement in water flux estimation, based on multiple calibration experiments.