Articles | Volume 21, issue 10
Research article
 | Highlight paper
06 Oct 2017
Research article | Highlight paper |  | 06 Oct 2017

Improving calibration and validation of cosmic-ray neutron sensors in the light of spatial sensitivity

Martin Schrön, Markus Köhli, Lena Scheiffele, Joost Iwema, Heye R. Bogena, Ling Lv, Edoardo Martini, Gabriele Baroni, Rafael Rosolem, Jannis Weimar, Juliane Mai, Matthias Cuntz, Corinna Rebmann, Sascha E. Oswald, Peter Dietrich, Ulrich Schmidt, and Steffen Zacharias


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: Publish subject to revisions (further review by Editor and Referees) (26 May 2017) by Bob Su
AR by Martin Schrön on behalf of the Authors (24 Jun 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (11 Jul 2017) by Bob Su
RR by Yijian Zeng (13 Jul 2017)
RR by Anonymous Referee #4 (08 Aug 2017)
ED: Publish as is (26 Aug 2017) by Bob Su
AR by Martin Schrön on behalf of the Authors (26 Aug 2017)  Author's response    Manuscript
Short summary
A field-scale average of near-surface water content can be sensed by cosmic-ray neutron detectors. To interpret, calibrate, and validate the integral signal, it is important to account for its sensitivity to heterogeneous patterns like dry or wet spots. We show how point samples contribute to the neutron signal based on their depth and distance from the detector. This approach robustly improves the sensor performance and data consistency, and even reveals otherwise hidden hydrological features.