Articles | Volume 19, issue 10
https://doi.org/10.5194/tc-19-4555-2025
https://doi.org/10.5194/tc-19-4555-2025
Research article
 | Highlight paper
 | 
15 Oct 2025
Research article | Highlight paper |  | 15 Oct 2025

TICOI: an operational Python package to generate regular glacier velocity time series

Laurane Charrier, Amaury Dehecq, Lei Guo, Fanny Brun, Romain Millan, Nathan Lioret, Luke Copland, Nathan Maier, Christine Dow, and Paul Halas

Viewed

Total article views: 1,974 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,685 241 48 1,974 61 97
  • HTML: 1,685
  • PDF: 241
  • XML: 48
  • Total: 1,974
  • BibTeX: 61
  • EndNote: 97
Views and downloads (calculated since 20 Jan 2025)
Cumulative views and downloads (calculated since 20 Jan 2025)

Viewed (geographical distribution)

Total article views: 1,974 (including HTML, PDF, and XML) Thereof 1,893 with geography defined and 81 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 24 Nov 2025
Download
Co-editor-in-chief
This study has the potential to facilitate information flow from Earth observations to geophysical models with particular focus on seasonally relevant glacier evolution processes. This has great value for downstream users and will be a substantial improvement to our treatment of ice velocity timeseries.
Short summary
While global annual glacier velocities are openly accessible, sub-annual velocity time series are still lacking. This hinders our ability to understand flow processes and the integration of these observations in numerical models. We introduce an open source Python package called TICOI (Temporal Inversion using linear Combinations of Observations, and Interpolation) to fuse multi-temporal and multi-sensor image-pair velocities produced by different processing chains to produce standardized sub-annual velocity products.
Share