Articles | Volume 15, issue 7
Data description paper
27 Jul 2023
Data description paper |  | 27 Jul 2023

Three years of soil moisture observations by a dense cosmic-ray neutron sensing cluster at an agricultural research site in north-east Germany

Maik Heistermann, Till Francke, Lena Scheiffele, Katya Dimitrova Petrova, Christian Budach, Martin Schrön, Benjamin Trost, Daniel Rasche, Andreas Güntner, Veronika Döpper, Michael Förster, Markus Köhli, Lisa Angermann, Nikolaos Antonoglou, Manuela Zude-Sasse, and Sascha E. Oswald


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2023-19', Anonymous Referee #1, 30 Mar 2023
    • AC1: 'Reply on RC1', Maik Heistermann, 14 Apr 2023
  • RC2: 'Comment on essd-2023-19', Anonymous Referee #2, 05 Apr 2023
    • AC2: 'Reply on RC2', Maik Heistermann, 14 Apr 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Maik Heistermann on behalf of the Authors (22 May 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (29 Jun 2023) by Conrad Jackisch
AR by Maik Heistermann on behalf of the Authors (30 Jun 2023)  Author's response   Manuscript 
Short summary
Cosmic-ray neutron sensing (CRNS) allows for the non-invasive estimation of root-zone soil water content (SWC). The signal observed by a single CRNS sensor is influenced by the SWC in a radius of around 150 m (the footprint). Here, we have put together a cluster of eight CRNS sensors with overlapping footprints at an agricultural research site in north-east Germany. That way, we hope to represent spatial SWC heterogeneity instead of retrieving just one average SWC estimate from a single sensor.
Final-revised paper