Geoscientific Instrumentation, Methods and Data Systems
Geoscientific Instrumentation, Methods and Data Systems
GI
Articles | Volume 14, issue 2
Articles | Volume 14, issue 2
https://doi.org/10.5194/gi-14-459-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gi-14-459-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 2
Research article
 | 
10 Dec 2025
Research article |  | 10 Dec 2025

Ice borehole thermometry: sensor placement using greedy optimal sampling

Kshema Shaju, Thomas Laepple, Nora Hirsch, and Peter Zaspel

Viewed

Total article views: 1,138 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
989 122 27 1,138 20 37
  • HTML: 989
  • PDF: 122
  • XML: 27
  • Total: 1,138
  • BibTeX: 20
  • EndNote: 37
Views and downloads (calculated since 16 Jan 2025)
Cumulative views and downloads (calculated since 16 Jan 2025)

Viewed (geographical distribution)

Total article views: 1,138 (including HTML, PDF, and XML) Thereof 1,136 with geography defined and 2 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 10 Dec 2025
Download
Short summary
We present a method to optimize the number and placement of temperature sensors in the borehole for borehole thermometry. Based on heat transfer model simulations, a greedy algorithm chooses sensor locations that minimize sampling errors. Applications in Antarctic and Greenland boreholes show this method outperforms traditional linear and exponential spacing, reducing errors up to tenfold. This approach offers an efficient, cost-effective solution to improve subsurface temperature monitoring.
Read more
Share