Articles | Volume 21, issue 5
https://doi.org/10.5194/hess-21-2509-2017
https://doi.org/10.5194/hess-21-2509-2017
Research article
 | 
16 May 2017
Research article |  | 16 May 2017

Evaluation of a cosmic-ray neutron sensor network for improved land surface model prediction

Roland Baatz, Harrie-Jan Hendricks Franssen, Xujun Han, Tim Hoar, Heye Reemt Bogena, and Harry Vereecken

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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: Reconsider after major revisions (further review by Editor and Referees) (23 Oct 2016) by Nunzio Romano
AR by Roland Baatz on behalf of the Authors (12 Apr 2017)  Author's response   Manuscript 
ED: Publish as is (19 Apr 2017) by Nunzio Romano
AR by Roland Baatz on behalf of the Authors (21 Apr 2017)  Author's response   Manuscript 
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Short summary
Soil moisture is a major variable that affects regional climate, weather and hydrologic processes on the Earth's surface. In this study, real-world data of a network of cosmic-ray sensors were assimilated into a regional land surface model to improve model states and soil hydraulic parameters. The results show the potential of these networks for improving model states and parameters. It is suggested to widen the number of observed variables and to increase the number of estimated parameters.