Articles | Volume 21, issue 4
https://doi.org/10.5194/hess-21-1875-2017
https://doi.org/10.5194/hess-21-1875-2017
Research article
 | 
03 Apr 2017
Research article |  | 03 Apr 2017

Cosmic-ray neutron transport at a forest field site: the sensitivity to various environmental conditions with focus on biomass and canopy interception

Mie Andreasen, Karsten H. Jensen, Darin Desilets, Marek Zreda, Heye R. Bogena, and Majken C. Looms

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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) (05 Nov 2016) by Markus Weiler
AR by M. Andreasen on behalf of the Authors (11 Nov 2016)  Author's response   Manuscript 
ED: Reconsider after major revisions (further review by Editor and Referees) (19 Nov 2016) by Markus Weiler
AR by M. Andreasen on behalf of the Authors (21 Nov 2016)  Author's response   Manuscript 
ED: Reconsider after major revisions (further review by Editor and Referees) (23 Nov 2016) by Markus Weiler
ED: Referee Nomination & Report Request started (28 Dec 2016) by Markus Weiler
RR by Anonymous Referee #3 (13 Jan 2017)
RR by Gabriele Baroni (28 Jan 2017)
ED: Publish subject to minor revisions (further review by Editor) (07 Feb 2017) by Markus Weiler
AR by M. Andreasen on behalf of the Authors (22 Feb 2017)  Manuscript 
ED: Publish subject to minor revisions (further review by Editor) (05 Mar 2017) by Markus Weiler
AR by M. Andreasen on behalf of the Authors (07 Mar 2017)  Manuscript 
ED: Publish as is (12 Mar 2017) by Markus Weiler
AR by M. Andreasen on behalf of the Authors (14 Mar 2017)
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Short summary
The cosmic-ray method holds a potential for quantifying canopy interception and biomass. We use measurements and modeling of thermal and epithermal neutron intensity in a forest to examine this potential. Canopy interception is a variable important to forest hydrology, yet difficult to monitor remotely. Forest growth impacts the carbon-cycle and can be used to mitigate climate changes by carbon sequestration in biomass. An efficient method to monitor tree growth is therefore of high relevance.