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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 21, issue 5
Hydrol. Earth Syst. Sci., 21, 2509–2530, 2017
https://doi.org/10.5194/hess-21-2509-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 21, 2509–2530, 2017
https://doi.org/10.5194/hess-21-2509-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

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 et al.

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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) (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
Publications Copernicus
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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.
Soil moisture is a major variable that affects regional climate, weather and hydrologic...
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