Articles | Volume 14, issue 12
Geosci. Model Dev., 14, 7287–7307, 2021
https://doi.org/10.5194/gmd-14-7287-2021
Geosci. Model Dev., 14, 7287–7307, 2021
https://doi.org/10.5194/gmd-14-7287-2021

Model description paper 30 Nov 2021

Model description paper | 30 Nov 2021

Cosmic-Ray neutron Sensor PYthon tool (crspy 1.2.1): an open-source tool for the processing of cosmic-ray neutron and soil moisture data

Daniel Power et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2021-77', Anonymous Referee #1, 17 May 2021
  • RC2: 'Comment on gmd-2021-77', Anonymous Referee #2, 05 Jun 2021
  • RC3: 'Comment on gmd-2021-77', Anonymous Referee #3, 02 Jul 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Daniel Power on behalf of the Authors (07 Sep 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to minor revisions (review by editor) (13 Sep 2021) by David Lawrence
AR by Daniel Power on behalf of the Authors (01 Oct 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (04 Oct 2021) by David Lawrence
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Short summary
Cosmic-ray neutron sensors estimate root-zone soil moisture at sub-kilometre scales. There are national-scale networks of these sensors across the globe; however, methods for converting neutron signals to soil moisture values are inconsistent. This paper describes our open-source Python tool that processes raw sensor data into soil moisture estimates. The aim is to allow a user to ensure they have a harmonized data set, along with informative metadata, to facilitate both research and teaching.