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

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

doi:https://doi.org/10.5194/hess-21-2509-2017

Articles | Volume 21, issue 5

https://doi.org/10.5194/hess-21-2509-2017

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

https://doi.org/10.5194/hess-21-2509-2017

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

Articles | Volume 21, issue 5

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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Final revised paper (published on 16 May 2017)
Preprint (discussion started on 26 Aug 2016)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'review', Anonymous Referee #1, 14 Sep 2016
- AC1: 'Reply on comments of Referee #1', Roland Baatz, 07 Oct 2016
RC2: 'Review comments', Anonymous Referee #2, 23 Sep 2016
- AC2: 'Reply on comments of Referee #2', Roland Baatz, 10 Oct 2016
RC3: 'review', Anonymous Referee #3, 27 Sep 2016
- AC3: 'Reply on comments of Referee #3', Roland Baatz, 14 Oct 2016
RC4: 'paper by Baatz et al, 2016-432', Anonymous Referee #4, 10 Oct 2016
- AC4: 'Reply on comments of Referee #4', Roland Baatz, 19 Oct 2016

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

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.