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| Type: | Resource | |
| Storage: | The size of this resource is 8.8 MB | |
| Created: | May 15, 2026 at 4:22 p.m. (UTC) | |
| Last updated: | May 20, 2026 at 8:42 p.m. (UTC) | |
| Citation: | See how to cite this resource |
| Sharing Status: | Discoverable |
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| Views: | 111 |
| Downloads: | 19 |
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Abstract
The Algorithm for TRACKing Convective Systems (ATRACKCS, Robledo et al., 2024) is a free and open source Python package for the automated detection and tracking of convective systems, with a special focus on Mesoscale Convective Systems (MCS).
TRACKCS provides a set of functions designed for a workflow analysis that includes the detection and tracking of MCS, allowing detailed monitoring of the MCS life cycle both in space and time. The algorithm uses brightness temperature (Tb) and precipitation (P) coming from public satellite data. To represent the identified systems, ATRACKCS uses the convex hull to simplify its shape as polygons. The algorithm parameterization can be adapted to the needs of the MCS detection, as the user is allowed to define the thresholds of Tb, P area of the events and minimum duration.
This Python package is a tool for characterizing spatio-temporal distribution and evolution of MCS and is intended for researchers and students interested in exploring MCS dynamics.
Subject Keywords
Coverage
Spatial
Content
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| NASA Earth Science | F.5 Future Investigators in NASA Earth and Space Science and Technology (FINESST) | 80NSSC25K0649 |
Contributors
People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.
| Name | Organization | Address | Phone | Author Identifiers |
|---|---|---|---|---|
| Mohamed Abdelkader | University of Iowa | IA, US | ||
| K. Santiango Hernandez | EHT Zurich | |||
| Angela Rendon | University of Antioquia | |||
| Alvaro Ramirez | University of Antioquia | |||
| Sebastian Gomez-Rios | National University of Colombia | |||
| Juan J. Henao | Desert Reaserch Institute | |||
| John F. Mejia | Desert Reaserch Institute | |||
| Naman Mehta | University of Iowa | IA, US | ||
| Humberto Vergara Arrieta | University of Iowa | IA, US |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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