Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 14, issue 12
Articles | Volume 14, issue 12
https://doi.org/10.5194/gmd-14-7287-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-7287-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 12
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, Miguel Angel Rico-Ramirez, Sharon Desilets, Darin Desilets, and Rafael Rosolem

Viewed

Total article views: 2,665 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,753 846 66 2,665 120 25 31
  • HTML: 1,753
  • PDF: 846
  • XML: 66
  • Total: 2,665
  • Supplement: 120
  • BibTeX: 25
  • EndNote: 31
Views and downloads (calculated since 07 May 2021)
Cumulative views and downloads (calculated since 07 May 2021)

Viewed (geographical distribution)

Total article views: 2,665 (including HTML, PDF, and XML) Thereof 2,501 with geography defined and 164 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Sep 2023
Download
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.
Read more