Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 15
Articles | Volume 17, issue 15
https://doi.org/10.5194/gmd-17-6035-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-6035-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 15
Methods for assessment of models
 | 
15 Aug 2024
Methods for assessment of models |  | 15 Aug 2024

TAMS: a tracking, classifying, and variable-assigning algorithm for mesoscale convective systems in simulated and satellite-derived datasets

Kelly M. Núñez Ocasio and Zachary L. Moon

Viewed

Total article views: 1,839 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,470 292 77 1,839 73 122
  • HTML: 1,470
  • PDF: 292
  • XML: 77
  • Total: 1,839
  • BibTeX: 73
  • EndNote: 122
Views and downloads (calculated since 12 Mar 2024)
Cumulative views and downloads (calculated since 12 Mar 2024)

Viewed (geographical distribution)

Total article views: 1,839 (including HTML, PDF, and XML) Thereof 1,797 with geography defined and 42 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 30 Nov 2025
Download
Short summary
TAMS is an open-source Python-based package for tracking and classifying mesoscale convective systems that can be used to study observed and simulated systems. Each step of the algorithm is described in this paper with examples showing how to make use of visualization and post-processing tools within the package. A unique and valuable feature of this tracker is its support for unstructured grids in the identification stage and grid-independent tracking.
Read more
Share